Next Article in Journal
Transitioning the Molecular Tumor Board from Proof of Concept to Clinical Routine: A German Single-Center Analysis
Previous Article in Journal
The Emerging Role of Extracellular Vesicles in Endocrine Resistant Breast Cancer
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Patterns of Sequelae in Women with a History of Localized Breast Cancer: Results from the French VICAN Survey

1
Department Prevention, Cancer, Environment, Léon Bérard Cancer Center, 69008 Lyon, France
2
Residual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, Institut Curie, Paris University, 75005 Paris, France
3
International Agency for Research on Cancer, 69372 Lyon, France
4
Center of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, 94807 Villejuif, France
5
MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, 75006 Paris, France
6
INSERM, IRD, SESSTIM, Economics & Social Sciences Applied to Health & Analysis of Medical Information, Aix Marseille University, 13007 Marseille, France
7
Oncology and Blood Diseases Department, University Hospital Center, Joseph Fourier University, CEDEX 9, 38043 Grenoble, France
8
Department of Medical Oncology, Institut Curie, 75005 Paris, France
9
Department of Surgical Oncology, Institut Curie, University Paris, 75005 Paris, France
10
Department of Medical Oncology, Léon Bérard Cancer Center, 69008 Lyon, France
11
Cancer Research Center of Lyon, INSERM UA8, Léon Bérard Cancer Center, 69008 Lyon, France
12
Department of Population Health, Luxembourg Institute of Health (LIH), 1445 Strassen, Luxembourg
*
Author to whom correspondence should be addressed.
Cancers 2021, 13(5), 1161; https://doi.org/10.3390/cancers13051161
Submission received: 12 January 2021 / Revised: 22 February 2021 / Accepted: 2 March 2021 / Published: 8 March 2021

Abstract

:

Simple Summary

Breast cancer induces sequelae even years after diagnosis, but little is currently known about long-term sequelae patterns. This study aimed to (1) assess the evolution of the main sequelae and treatment two and five years after diagnosis in women with early-stage breast cancer, (2) explore patterns of sequelae associated with given sociodemographic, clinical, and lifestyle factors. Our results show that six main classes of sequelae were identified and remain constant over time except for fatigue and cognitive sequelae. The latent class analysis identified two main classes of sequelae (functional and esthetic patterns) and we have highlighted that different risk factors such as treatment, sociodemographic level, and physical activity level were associated with an increased risk of long-term sequelae.

Abstract

Breast cancer (BC) remains complex for women both physically and psychologically. The objectives of this study were to (1) assess the evolution of the main sequelae and treatment two and five years after diagnosis in women with early-stage breast cancer, (2) explore patterns of sequelae associated with given sociodemographic, clinical, and lifestyle factors. The current analysis was based on 654 localized BC patients enrolled in the French nationwide longitudinal survey “vie après cancer” VICAN (January–June 2010). Information about study participants was collected at enrollment, two and five years after diagnosis. Changes over time of the main sequelae were analyzed and latent class analysis was performed to identify patterns of sequelae related to BC five years after diagnosis. The mean age (±SD) of study participants at inclusion was 49.7 (±10.5) years old. Six main classes of sequelae were identified two years and five years post-diagnosis (functional, pain, esthetic, fatigue, psychological, and gynecological). A significant decrease was observed for fatigue (p = 0.03) and an increase in cognitive sequelae was reported (p = 0.03). Two latent classes were identified—functional and esthetic patterns. Substantial sequelae remain up to five years after BC diagnosis. Changes in patient care pathways are needed to identify BC patients at a high risk.

1. Introduction

Breast cancer (BC) is the leading cause of cancer among women worldwide with about 2.3 million new cases in 2020 [1]. In France in 2020, there were about 60,000 new BC cases estimated in women [1] and thanks to major therapeutic advances, the overall 5-year survival rate of BC has increased from 80% for women diagnosed in 1989–1993 to 87% for those diagnosed in 2005–2010 [2].
The management of BC remains complex from a psychological point of view, as well as physically, mainly due to the high number of routine treatments available (chemotherapy, radiotherapy, hormonotherapy, and/or surgery including reconstructive surgery). Hence, many side effects and sequelae may persist long after treatment. Many patients report subsequent fatigue [3,4,5,6], poor quality of life [7], pain [8,9], cognitive impairment [10,11], functional disability associated with lymphoedema [12,13,14,15], heart [16,17,18,19,20], respiratory [16], femininity [21,22], and sexual dysfunctions [23] during or immediately after treatment, but very little is known about long-term sequelae of BC. Moreover, people who suffered from cancer remain in poorer health than the general population [24,25,26]. In addition, cancer patients have a higher risk of developing a second primary cancer [27,28] and the accumulation of sequelae due to cancer can lead to premature death [29,30,31]. However, a subset of sequelae are modifiable and could be reduced through lifestyle changes such as physical activity and diet, and medical follow-up [32,33].
The “vie après cancer (VICAN)” French national survey was conducted two years (VICAN2) and five years (VICAN5) after a cancer diagnosis and aimed at investigating the long-term impact of cancer on patients’ lives (health, sequelae, everyday life difficulties, return to work, etc.) [34,35].
The objectives of the current study were to (1) assess the evolution of the main sequelae related to cancer and its treatments two years and five years after diagnosis in women with early-stage breast cancer, (2) identify and characterize subpopulations of BC patients with similar patterns of sequelae.

2. Materials and Methods

2.1. Study Population

The VICAN survey is a longitudinal survey among French adults aged 20–85 and diagnosed with cancer between January and June 2010 with data collected at two time points. The first data wave was conducted in 2012, two years after diagnosis, and included 4349 participants (VICAN2 overall response rate 43.7%). The second wave was undertaken in 2015, five years after diagnosis, and involved 2165 participants (VICAN5) which represents a total of 4174 patients among whom 2009 participants had already participated at VICAN2, with an additional sample of 2165 who did not respond to VICAN2 (Figure 1). The survey was designed to monitor health conditions two and five years since diagnosis with any type of cancer. Survey procedures and methods have been previously published [34]. Briefly, patients diagnosed with a cancer among twelve cancer types (breast, lung, colorectal, prostate, upper aerodigestive tract, bladder, kidney, cervical, endometrial, thyroid, non-Hodgkin lymphoma, melanoma) were identified through electronic health care system records derived from one of the main French health insurance schemes—Caisse Nationale de l’Assurance Maladie des Travailleurs Salariés (CNAMTS) for salaried workers, Régime Social des Indépendants (RSI) for self-employed workers, and Mutuelle Sociale Agricole (MSA) for farmworkers. Data were collected through questionnaires administered by telephone surveys two and five years after cancer diagnosis, while administrative and medical data were extracted from the national medico-administrative database on reimbursement data for healthcare costs and hospital discharge records (Système National des Données de Santé, SNDS).
In this current study, we focused on women diagnosed with an early BC who responded to both two- and five-year follow-up forms, leading to a total of 654 out of 4349 participants.

2.2. Data Collection

Data collected by the survey at diagnosis, two years (VICAN2) and five years (VICAN5) after female BC diagnosis, included the following information:

2.2.1. Data on Spontaneous Sequelae

Spontaneous sequelae were explicitly reported by patients with open-ended questions for both VICAN2 and VICAN5 surveys. For the study purpose, all answers to the questions mentioned above were analyzed individually according to keywords and expressions to identify the main theme(s) (Table S1). Twenty main sequelae were identified and reported similarly to sequelae found in the literature [36]: functional (total functional disorders, arm-related functional disorders, other functional disorders), pain, esthetic, fatigue, psychological, gynecological, weight, skin, cognitive, respiratory, vision, sleep, digestive, sexual, cardiac, hearing, financial, dental, urinary, and others. All sequelae were coded in binary (yes/no). Two other closed-ended questions were asked concerning sequelae. For the presence and magnitude of sequelae, patients had to answer to the question “Generally speaking, do you keep any sequelae due to your illness?” in a five-point Likert scale 1—“yes, and they are very important”, 2—“yes, and they are important”, 3—“yes, but they are moderate”, 4—“yes, but they are very moderate” and 5—“no, I do not have any sequelae”. Patients were asked if they received specific treatment for their sequelae (yes/no). Women could have several types of sequelae. The variable “total number of reported sequelae” was created by summing all the binary variables according to the 20 main reported sequelae.
Women were allocated to the group without sequelae if they (i) did not report explicitly sequelae in the open-ended questions, (ii) had not answered the question about the magnitude of the sequelae, and (iii) had not answered the question about the treatment of the sequelae.

2.2.2. Socio-Demographic

Socio-demographic information included age, level of education (<high school vs. ≥high school), marital status (married/partners vs. single/divorced/separated), occupational status ((i) employed and performing traded; (ii) employed in managerial occupations; or (iii) unemployed), and employment status (in employment including being in short-term sick leave vs. another situation).

2.2.3. Medical Characteristics

Data were extracted from the medico-administrative databases (Système national d’information inter-régimes de l’Assurance maladie, SNIIR-AM). Information on treatments: chemotherapy (yes/no), hormone therapy (yes and still taking the treatment/yes no longer taking the treatment/no), radiotherapy (yes/no) and reconstructive surgery (yes/no) were collected and extracted for the present analysis.

2.2.4. Self-Rated Global Health

Self-perceived health status was evaluated using a question from the Minimum European Health Module with a five-point Likert scale with items 1—“very good”, 2—“good”, 3—“quite good”, 4—“bad”, and 5—“very bad” [37].

2.2.5. Comorbidity

Comorbidity score was assessed by the Individual Chronic Condition score using a validated pharmacy-based measure at which cancer was removed, using medico-administrative data from 2015 [38]. This score was calculated as a weighted average number of chronic diseases identified in an individual over the previous year by the hospitalization or mortality rate of the disease.

2.2.6. Neuropathic Pain

Neuropathic or nociceptive pain score was measured using the validated the Douleur Neuropathique 4 (DN4) questionnaire [39]. It consists of ten items. The first seven items were dedicated to the presence of the symptoms of pain (burning, painful cold, electric shock, tingling, pins and needles, numbness, and itching). The remaining three items were completed after a clinical examination (hypoesthesia to touch, hypoesthesia to pinprick, pain caused or increased by brushing). The items of the DN4 questionnaire are scored based on a yes (1 point)/no (0 points) answer. A total score of 4 out of 10 or more suggests neuropathic pain.

2.2.7. Fatigue

Fatigue was measured according to the validated European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ) core 30 [40,41] using the fatigue subscale. This subscale comprises three fatigue-related items over the previous week: “Did you need to rest?”, “Have you felt weak?”, “Were you tired?”. A four-point Likert scale was used “1 = not at all”, “2 = a little”, “3 = quite a bit”, “4 = very much”. The score was linearly transformed to a 0–100 scale and the higher the score, the greater the fatigue.

2.2.8. Tobacco use and Alcohol Consumption

Tobacco use and alcohol consumption were categorized in smokers vs. non-smokers and drinkers vs. non-drinkers, respectively. Smokers were defined as those who responded “smoking daily or less often” and non-smokers as those who responded “not smoking”. Drinkers were defined as those who responded “drink once a month or more” and non-drinkers as those who responded “not to drink”.

2.2.9. Anthropometrics

Anthropometrics were assessed using body mass index (BMI) calculated as a ratio of self-reported body weight (in kg) to body height (in meters) squared.

2.2.10. Physical Activity

Participants had to answer to the question “Since the diagnosis of your illness, has your physical activity changed?” “1 = yes, I do more than before”, “2 = yes, I do less than before”, “3 = yes, I have completely stopped”, “5 = no”.

2.3. Statistical Analyses

Participants’ characteristics were described using means and standard deviations (SDs) for quantitative data and using frequencies and percentages for qualitative data.
The difference in numbers of sequelae between two and five years after diagnosis were investigated using a Wilcoxon signed-rank test and differences in presence or absence of sequelae were evaluated using the McNemar’s test. Out of the 20 sequelae identified, we only considered the main sequelae defined by the ones present in at least 5% at 2-year post-diagnosis.
A latent class analysis (LCA) was performed to identify subgroups (latent classes) of BC patients with similar patterns of sequelae five years after diagnosis [42,43]. The LCA model has proven useful for discrete and dichotomous variables to identify subpopulations sharing similar item response patterns. The LCA included the main six binary (no/yes) sequelae variables identified five years after diagnosis: functioning, pain, esthetic, fatigue, psychological, and gynecological sequelae. The choice of the optimal number of latent classes, k, was based on the adjusted Bayesian Information Criterion (aBIC) as a trade-off between parsimony and model fit. We implemented LCA models with 2–8 latent classes and selected the model with the lowest aBIC criteria corresponding to the two (k = 2) classes model. After selecting the best model, the probability of each latent class membership, the conditional probability of having each sequela in each latent class, and the classification of patients based on their most likely latent-class membership were finally reported. Conditional probabilities denoted the probabilities of the sequelae being present, conditional on specific class membership. For each patient, we obtained posterior probabilities of belonging to the different latent classes of the LCA model and which were then classified into the class for which they have the highest posterior membership probability. Latent classes were also described and characterized by sequelae profiles.
Univariate logistic regression models were performed to investigate the associations between the latent class membership and socio-demographic at inclusion, lifestyle at VICAN2, and clinical variables at VICAN5. Variables included age (<50 vs. ≥50 years), occupational status (trades, managerial occupations, no employment), education level (<high school or ≥high school), marital status (single vs. partners), physical activity level (stop, decrease, stable, or increase), BMI (underweight: <18.5 kg/m2, normal: <25 kg/m2, overweight: 25–30 kg/m2, and obese: >30 kg/m2), smoking and alcohol consumption (yes vs. no), chemotherapy (yes vs. no), radiotherapy (yes vs. no), hormone therapy (still in treatment, no longer in treatment, no), reconstructive surgery (yes vs. no), comorbidity, pain, and fatigue scores as continuous variables. Thereafter, a multivariate analysis was carried out using a subset of these variables known or considered as variables impacting the occurrence of sequelae after being tested in univariate models. Odds ratios (ORs) with 95% confidence intervals (CIs) of both univariate and multivariate analyses were calculated and reported. All statistical analyses were performed using R version 3.6.1 and a two-sided p value < 0.05 was considered as statistically significant.

3. Results

3.1. Participants’ Characteristics

The participants’ descriptive characteristics at diagnosis are presented in Table 1. The mean age (±SD) was 49.8 (±10.5) years old. Women were, in majority, married (70%), and with children (88%) (data not shown). Most of the patients had a high education (higher than or equal to high school; 56%) and the majority of participants were in employment or on sick leave at diagnosis (72%). Treatments that patients received up to five years since diagnosis were radiotherapy (81%), chemotherapy (59%), and hormone therapy (72%), and they still received hormone therapy five years after diagnosis (42%) (Table 2).

3.2. Main Sequelae of BC and Changer over Time

The mean BMI was 24.7 kg/m2 and 58% had a normal weight two years post-diagnosis (Table 2). Regarding physical activity, half of the patients maintained or increased their physical activity two years after diagnosis while this proportion remained stable five years after (VICAN5) diagnosis (49%). Participants remained at a moderate fatigue level at two years (50.3 ± 27.6) and five years post-diagnosis (48.6 ± 26.9).
Changes in sequelae two years and five years after diagnosis are presented in Table 2 and Figure 2. Two years after diagnosis, 471 (72%) participants still reported suffering from sequelae including 31% intense and important; five years after diagnosis there were almost as many patients suffering from sequelae (n = 448) and many of them (46%) did not receive any specific treatment for the management of these sequelae (Table 2). Five years after diagnosis (VICAN5), the number of sequelae remained stable (average: 1.6, p = 0.59). We observed a significant decrease in fatigue (16% vs. 12%, p = 0.03) as well as an increase in cognitive sequelae (2% vs. 4%, p = 0.03) between two and five years after diagnosis while all other sequelae remain stable (Figure 2). Participants who suffered from pain sequelae mostly have associated functional sequelae, while women with psychological sequelae often experience great fatigue and esthetic sequelae (Figure 3).

3.3. Latent-Class Analysis of Sequelae Patterns

Latent class membership and conditional response probabilities within each latent class of the two latent class model at five years (VICAN5) are given in supplementary data. About 52% of participants were categorized in class 1 and 48% in class 2. Class 1 was characterized by patients with esthetic sequelae while class 2 by functional and pain sequelae among the six investigated. These two latent classes are from now on referred to as “esthetic pattern” and “functional pattern” classes, respectively.
The characteristics of the patients according to their class are shown in Table 3. Women belonging to the “esthetic pattern” class are older women who received less hormonotherapy and chemotherapy, and who had maintained or increased their level of physical activity since diagnosis as compared to the “functional pattern”.
In logistic regression models, class 1 “esthetic pattern” was chosen as the reference class when presenting ORs as it corresponded to the class having the lowest probability for getting all sequelae. Univariate ORs for class membership compared to the reference class are presented in Table 4. Results showed that treatment by chemotherapy (OR = 1.63, 95% CI = 1.19–2.56) and current hormone therapy (1.53 [1.07–2.19]), fatigue and pain scores (1.02 [1.01–1.03] and 1.14 [1.04–1.26] respectively) and being married or with a partner (1.42 [1.01–1.09]) were associated with an increased risk of being in the “functional pattern” class. Moreover, reducing physical activity level is also associated with an increased risk of belonging to the “functional pattern” class (1.77 [1.23–2.56]). In contrast, being over 50 years of age (0.68 [0.49–0.95]) was associated with a decreased risk of belonging to the same class.
Results from multivariate analyses (Figure 4) showed mainly similar findings with those from univariate analyses with a few exceptions: performing trades (0.65 [0.44–0.95]) decreased the risk of belonging to the “functional” class five years after the BC diagnosis. For the class 2 “functional pattern”, while age, chemotherapy, hormone therapy, and marital status were no longer associated with an increased risk of belonging to this class, the comorbidity score at diagnosis (1.72 [1.04–2.85]) was significantly associated with a higher risk of being in that class. Significant associations are presented in bold.

4. Discussion

4.1. Principal Findings

While the survival of female BC patients after diagnosis and treatment has improved, this study revealed that they suffered from sequelae five years after the diagnosis of BC yet. To the best of our knowledge, this is the first study to identify subgroups of sequelae associated with their risk factors at five years since diagnosis in patients with early BC using the LCA model. The LCA identified two main classes of sequelae (functional and esthetic patterns) and we have highlighted that different risk factors such as treatment (chemotherapy, hormone therapy, and surgery), sociodemographic level, and physical activity level were associated with an increased risk of long-term sequelae.

4.2. BC Sequelae

BC and its treatments disrupt patients’ lives and lead to significant long-term consequences. Most BC patients have undergone important physical mutilation and must follow hormone therapy treatments for five years. This study showed that more than 70% of patients had sequelae that lasted at least five years after diagnosis, which is consistent with the results in a previous study reporting that about 60% of women have at least one or more sequelae six years after BC diagnosis [44]. The study goal was to describe and understand the prevalence of breast cancer treatment sequelae among 287 Australian breast cancer women. Despite the descriptive aspect of the study with a smaller workforce, this study reinforces the need to better identify women’s sequelae and to provide appropriate care. Our study identified 20 sequelae grouped into six sequelae most strongly represented in this study population (functional, pain, esthetic, fatigue, psychological, and gynecological sequelae) [45]. Despite the reconstruction offered to 25%, esthetic and psychological sequelae persisted five years after the diagnosis and altered both body image and activities of daily living. Of note, organic sequelae such as cardiac dysfunctions were poorly represented despite anthracycline and trastuzumab treatments are known to induce cardiac complications in BC because of lack of a survey with exploratory parameters by biological, echography, or more sophisticated tests. In previous studies, chemotherapy and hormone therapy were associated with functional and fatigue sequelae [4,46,47,48] and patients who experienced such sequelae were mostly younger. Hormone therapy has improved the survival of patients with breast cancer but induced many sequelae that impact quality of life, social interaction, and the everyday life [49,50,51]. Patients are faced with menopause and its associated symptoms (hot flashes, sleeping difficulties, gynecological complications) [52,53]. Sequelae of hormone therapy have been often underestimated whereas the effects can compromise its long-term adherence [49]. A study with 2353 women with breast cancer showed that one-third of women did not feel supported by the medical team to overcome sequelae [51]. These results underline the need for early detection of sequelae and better support for patients.

4.3. Supportive Care for Patients with Cancer

Recently, there has been an awareness to offer global care to the patient including supportive care to reduce physical and psychological effects of BC and its treatments. Many efforts remain to be made in terms of prevention or early detection with specific adapted interventions [54]. Therapeutic patient education programs complementary to traditional healthcare have been increasingly offered to patients [55,56]. Indeed, patient empowerment is defined as an effective approach to help people to gain control over their lives, to increase their capacity to act, to manage their illness and side effects of treatments, and to become autonomous [57,58]. While today, supportive care is mainly offered from the moment of diagnosis, there is currently a gap in patient care after treatments with inequalities between institutions. Patients often have one follow-up appointment per year mainly focused on a potential recurrence and little on the patients’ physical and psychological sequelae. Patients often feel helpless and alone to return to a normal life and there is a real need for patients to have a close global long-term follow-up as 45% of them report not having any treatment for their sequelae.

4.4. Benefits of Physical Activity

Physical activity is considered as a supportive care and has shown many physical, biological, psychological, and clinical benefits for patients with BC [59,60,61]. Nevertheless, most of the studies were carried out on cross-sectional, retrospective, or short-term intervention study, which does not allow us to conclude on the medium- and long-term effects of physical activity in preventing sequelae over time. Despite the major interest in maintaining or increasing physical activity from diagnosis, we note in this survey that about half of the patients decrease or stop practicing physical activity both at two years and five years after diagnosis. While the level of physical activity tends to decrease at diagnosis [12], it seems important to provide intervention programs to BC patients from diagnosis to maintain physical activity over time and, in turn, to prevent the risk of sequelae. A prospective study conducted in 201 Canadian BC survivors is currently in progress, to study the longitudinal associations between lifestyle behavior changes and physical health and sequelae during four years [62]. However, to date, no physical activity intervention with objective measurement of physical activity has been carried out to study the associations between physical activity level and the risk of sequelae. Only one systemic review in breast cancer patients receiving hormone therapy concluded that aerobic plus resistance training had positive effects on cardiorespiratory fitness and pain, but further studies are needed to confirm the associations [61].

4.5. Individualized Care for Patients with Cancer

Thus, it is now necessary to offer cancer patients individualized care from the time of diagnosis to reduce medium- and long-term sequelae. With the implementation of the VICAN study, there has been an awareness of the importance of screening and predicting sequelae [63,64] and new programs tend to be implemented in cancer centers to offer a new care path. At diagnosis, patients are not able to anticipate future sequelae and many believe that sequelae are normal and are part of the cancer disease and treatment. Thus, to optimize patient care, it would be necessary, on the one hand, to identify patients at risk of sequelae development and to guide patients to offer them appropriate and personalized care. The use of questionnaires at diagnosis or at the end of treatment to assess the level of fatigue, comorbidity, pain, physical activity, coupled with clinical data related to treatments received, could help identify patients at risk of sequelae development, mainly esthetic or functional pattern. However, some women may suffer from different types of sequelae at the same time. Then, having simple but valid tools to obtain objective data, particularly in terms of organic sequelae, would be a considerable step forward.

4.6. Strengths and Weaknesses

The strength of the study is that we identified sequalae patterns within the BC patients and examined its associations with their clinical, socio-demographic, and lifestyle factors, which have never been investigated before. The longitudinal design with a large sample size allows monitoring the medium and long-term sequelae.
However, there were several limitations in this study. First of all, the VICAN survey was conducted among a particular population since women were relatively young at diagnosis (49.8 years) and highly educated (56% higher than or equal to high school), which would not be representative of the population with a median age at diagnosis of cancer, about 63 years in France [2]. The youthful population of the survey can be explained by the fact that the survey was initially carried out to study the return to work of cancer patients which implies recruiting patients before the age of retirement. Secondly, the item sequelae were transcribed in free text and it was necessary to manually recode all the information into different categories, which implies a certain amount of subjectivity. Third, some variables used for the analyses were collected in subjective ways and collected at different periods (at inclusion or at two years or at five years). For instance, changes in physical activity levels of patients since diagnosis were not measured by validated questionnaires or by objective tools such as accelerometers to objectively quantify their physical activity level. Fourth, regarding data quality, some data (or variables) were not standardized using different collecting methods between VICAN2 and VICAN5 surveys. Fifth, some information related to BC sequelae was missing, such as type of chemotherapy and type of surgery. Some chemotherapy treatments, particularly anthracycline, can induce cardiac sequelae [65,66], neuropathic pains due to taxane [67,68]. The type of surgery (mastectomy, tumorectomy) can also induce different functional, esthetic, and psychological sequelae, which have probably an important impact on all variables examined in this study. The LCA model has a methodological limitation when determining the optimal number of classes regardless of the criteria used (aBIC, BIC, AIC) that might be improved by a larger sample size. We tested several different classes to propose the best statistical model.

5. Conclusions

Our study showed that significant sequelae have remained five years after diagnosis. This study suggests an association between a decrease in physical activity and sequelae at five years after BC diagnosis. Further studies measuring accurately physical activity are required to confirm this finding. Moreover, better management and/or screening for pain and fatigue could also help to prevent future sequelae. Changes in patient care pathways are needed to identify patients at risk and/or screen sequelae to provide personalized and appropriate management including supportive care.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6694/13/5/1161/s1, Table S1: Conditional probabilities of each sequelae within each of the 2-latent class model of BC women from the VICAN study (n = 654).

Author Contributions

Conceptualization, L.D. and L.B.; data curation, L.D., A.-D.B., and M.-K.B.; formal analysis, L.D., L.B., D.E.F., A.-D.B., E.J., A.-S.H., F.C., F.R., P.-E.H., B.F. (Baptiste Fournier), B.F. (Beatrice Fervers), M.M., B.F., G.F., and O.P.; funding acquisition, A.-D.B. and M.-K.B.; investigation, L.D.; methodology, L.D., L.B., G.F., and O.P.; project administration, L.D. and O.P.; resources, L.D.; software, L.D., L.B., and E.D.; supervision, L.D., L.B., G.F., and O.P.; visualization, L.D., E.D., and H.N.; Writing—Original draft, L.D., L.B., and D.E.F.; Writing—Review and editing, L.D., L.B., D.E.F., E.D., A.-D.B., H.N., E.J., A.-S.H., F.C., F.R., P.-E.H., M.-K.B., B.F. (Baptiste Fournier), M.M., B.F. (Beatrice Fervers), G.F., and O.P. All authors have read and agreed to the published version of the manuscript.

Funding

The VICAN survey was funded by the National Institute of Cancer (INCa), Contrat de recherche et développement No. 05-2011. DEF is supported by a doctoral grand from the French National Cancer Insitute (INCa_13563).

Institutional Review Board Statement

The study methodology was designed and performed in accordance with the guidelines of the declaration of Helsinki, and was approved by the three French national ethics committees: CCTIRS (Comité Consultatif sur le Traitement de l’Information en Matière de Recherche dans le Domaine de la Santé, study No. 11–143), ISP (Institute of Public’ Health, study No. C11-63), and CNIL (French Commission on Individual Data Protection and Public Liberties, study No. 911290).

Informed Consent Statement

All study participants provided written informed consent.

Data Availability Statement

Data available on request due to restrictions. The data presented in this study are available on request from ADB. The data are not publicly available due to the privacy and ethical reasons.

Acknowledgments

LD would like to thank OEPDB for their support.

Conflicts of Interest

No conflicts of interest exist. Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/World Health Organization.

References

  1. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA A Cancer J. Clin. 2021, caac.21660. [Google Scholar] [CrossRef] [PubMed]
  2. Institut National du Cancer Les Cancers En France: L’essentiel Des Faits et Chiffres/Edition 2019. Available online: https://www.e-cancer.fr/ressources/cancers_en_france (accessed on 12 January 2021).
  3. Bower, J.E. Cancer-Related Fatigue-Mechanisms, Risk Factors, and Treatments. Nat. Rev. Clin. Oncol. 2014, 11, 597–609. [Google Scholar] [CrossRef] [PubMed]
  4. Bruera, E.; Yennurajalingam, S. Challenge of Managing Cancer-Related Fatigue. J. Clin. Oncol. 2010, 28, 3671–3672. [Google Scholar] [CrossRef] [PubMed]
  5. Wang, X.S.; Zhao, F.; Fisch, M.J.; O’Mara, A.M.; Cella, D.; Mendoza, T.R.; Cleeland, C.S. Prevalence and Characteristics of Moderate to Severe Fatigue: A Multicenter Study in Cancer Patients and Survivors: Moderate to Severe Patient-Reported Fatigue. Cancer 2014, 120, 425–432. [Google Scholar] [CrossRef]
  6. Cormie, P.; Zopf, E.M.; Zhang, X.; Schmitz, K.H. The Impact of Exercise on Cancer Mortality, Recurrence, and Treatment-Related Adverse Effects. Epidemiol. Rev. 2017, 39, 71–92. [Google Scholar] [CrossRef] [PubMed]
  7. Hamer, J.; McDonald, R.; Zhang, L.; Verma, S.; Leahey, A.; Ecclestone, C.; Bedard, G.; Pulenzas, N.; Bhatia, A.; Chow, R.; et al. Quality of Life (QOL) and Symptom Burden (SB) in Patients with Breast Cancer. Support. Care Cancer 2017, 25, 409–419. [Google Scholar] [CrossRef]
  8. Attal, N.; Lanteri-Minet, M.; Laurent, B.; Fermanian, J.; Bouhassira, D. The Specific Disease Burden of Neuropathic Pain: Results of a French Nationwide Survey. Pain 2011, 152, 2836–2843. [Google Scholar] [CrossRef] [PubMed]
  9. Glare, P.A.; Davies, P.S.; Finlay, E.; Gulati, A.; Lemanne, D.; Moryl, N.; Oeffinger, K.C.; Paice, J.A.; Stubblefield, M.D.; Syrjala, K.L. Pain in Cancer Survivors. J. Clin. Oncol. 2014, 32, 1739–1747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Jean-Pierre, P.; McDonald, B.C. Neuroepidemiology of cancer and treatment-related neurocognitive dysfunction in adult-onset cancer patients and survivors. In Handbook of Clinical Neurology; Elsevier: Amsterdam, The Netherlands, 2016; Volume 138, pp. 297–309. ISBN 978-0-12-802973-2. [Google Scholar]
  11. Underwood, E.A.; Rochon, P.A.; Moineddin, R.; Lee, P.E.; Wu, W.; Pritchard, K.I.; Tierney, M.C. Cognitive Sequelae of Endocrine Therapy in Women Treated for Breast Cancer: A Meta-Analysis. Breast Cancer Res. Treat. 2018, 168, 299–310. [Google Scholar] [CrossRef] [PubMed]
  12. Foucaut, A.-M.; Berthouze, S.E.; Touillaud, M.; Morelle, M.; Bourne-Branchu, V.; Kempf-Lépine, A.-S.; Carretier, J.; Pérol, D.; Trédan, O.; Bachmann, P.; et al. Deterioration of Physical Activity Level and Metabolic Risk Factors After Early-Stage Breast Cancer Diagnosis. Cancer Nurs. 2015, 38, E1–E9. [Google Scholar] [CrossRef] [PubMed]
  13. Klassen, O.; Schmidt, M.E.; Scharhag-Rosenberger, F.; Sorkin, M.; Ulrich, C.M.; Schneeweiss, A.; Potthoff, K.; Steindorf, K.; Wiskemann, J. Cardiorespiratory Fitness in Breast Cancer Patients Undergoing Adjuvant Therapy. Acta Oncol. 2014, 53, 1356–1365. [Google Scholar] [CrossRef] [PubMed]
  14. Toth, M.J.; Miller, M.S.; Callahan, D.M.; Sweeny, A.P.; Nunez, I.; Grunberg, S.M.; Der-Torossian, H.; Couch, M.E.; Dittus, K. Molecular Mechanisms Underlying Skeletal Muscle Weakness in Human Cancer: Reduced Myosin-Actin Cross-Bridge Formation and Kinetics. J. Appl. Physiol. 2013, 114, 858–868. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. McLaughlin, S.A.; Wright, M.J.; Morris, K.T.; Giron, G.L.; Sampson, M.R.; Brockway, J.P.; Hurley, K.E.; Riedel, E.R.; Van Zee, K.J. Prevalence of Lymphedema in Women with Breast Cancer 5 Years after Sentinel Lymph Node Biopsy or Axillary Dissection: Objective Measurements. J. Clin. Oncol. 2008, 26, 5213–5219. [Google Scholar] [CrossRef] [PubMed]
  16. Carver, J.R.; Shapiro, C.L.; Ng, A.; Jacobs, L.; Schwartz, C.; Virgo, K.S.; Hagerty, K.L.; Somerfield, M.R.; Vaughn, D.J. American Society of Clinical Oncology Clinical Evidence Review on the Ongoing Care of Adult Cancer Survivors: Cardiac and Pulmonary Late Effects. J. Clin. Oncol. 2007, 25, 3991–4008. [Google Scholar] [CrossRef] [Green Version]
  17. Giza, D.E.; Iliescu, G.; Hassan, S.; Marmagkiolis, K.; Iliescu, C. Cancer as a Risk Factor for Cardiovascular Disease. Curr. Oncol. Rep. 2017, 19. [Google Scholar] [CrossRef]
  18. Okwuosa, T.M.; Anzevino, S.; Rao, R. Cardiovascular Disease in Cancer Survivors. Postdrad. Med. J. 2017, 93, 82–90. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Peel, J.B.; Sui, X.; Adams, S.A.; Hébert, J.R.; Hardin, J.W.; Blair, S.N. A Prospective Study of Cardiorespiratory Fitness and Breast Cancer Mortality. Med. Sci. Sports Exerc. 2009, 41, 742–748. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Babak, S.; Brezden-Masley, C. Cardiovascular Sequelae of Breast Cancer Treatments: A Review. Curr. Probl. Cancer 2018, 42, 409–421. [Google Scholar] [CrossRef]
  21. Sun, L.; Ang, E.; Ang, W.H.D.; Lopez, V. Losing the Breast: A Meta-Synthesis of the Impact in Women Breast Cancer Survivors. Psycho-Oncol. 2018, 27, 376–385. [Google Scholar] [CrossRef]
  22. Jabłoński, M.J.; Streb, J.; Mirucka, B.; Słowik, A.J.; Jach, R. The Relationship between Surgical Treatment (Mastectomy vs. Breast Conserving Treatment) and Body Acceptance, Manifesting Femininity and Experiencing an Intimate Relation with a Partner in Breast Cancer Patients. Psychiatr. Pol. 2018, 52, 859–872. [Google Scholar] [CrossRef] [PubMed]
  23. Candy, B.; Jones, L.; Vickerstaff, V.; Tookman, A.; King, M. Interventions for Sexual Dysfunction Following Treatments for Cancer in Women. Cochrane Database Syst. Rev. 2016. [Google Scholar] [CrossRef] [PubMed]
  24. Hewitt, M.; Rowland, J.H.; Yancik, R. Cancer Survivors in the United States: Age, Health, and Disability. J. Gerontol. A. Biol. Sci. Med. Sci. 2003, 58, M82–M91. [Google Scholar] [CrossRef]
  25. Elliott, J.; Fallows, A.; Staetsky, L.; Smith, P.W.F.; Foster, C.L.; Maher, E.J.; Corner, J. The Health and Well-Being of Cancer Survivors in the UK: Findings from a Population-Based Survey. Br. J. Cancer 2011, 105, S11–S20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Vannorsdall, T.D. Cognitive Changes Related to Cancer Therapy. Med. Clin. N. Am. 2017, 101, 1115–1134. [Google Scholar] [CrossRef] [PubMed]
  27. Jégu, J.; Colonna, M.; Daubisse-Marliac, L.; Trétarre, B.; Ganry, O.; Guizard, A.-V.; Bara, S.; Troussard, X.; Bouvier, V.; Woronoff, A.-S.; et al. The Effect of Patient Characteristics on Second Primary Cancer Risk in France. BMC Cancer 2014, 14. [Google Scholar] [CrossRef] [PubMed]
  28. Identifier et Prévenir Les Risques de Second Cancer Primitif Chez l’adulte. 2013. Available online: https://www.e-cancer.fr/Expertises-et-publications/Catalogue-des-publications/Identifier-et-prevenir-les-risques-de-second-cancer-primitif-chez-l-adulte (accessed on 12 January 2021).
  29. Tralongo, P.; Pescarenico, M.G.; Surbone, A.; Bordonaro, S.; Berretta, M.; DI Mari, A. Physical Needs of Long-Term Cancer Patients. Anticancer Res. 2017, 37, 4733–4746. [Google Scholar] [CrossRef] [PubMed]
  30. Patnaik, J.L.; Byers, T.; DiGuiseppi, C.; Dabelea, D.; Denberg, T.D. Cardiovascular Disease Competes with Breast Cancer as the Leading Cause of Death for Older Females Diagnosed with Breast Cancer: A Retrospective Cohort Study. Breast Cancer Res. 2011, 13. [Google Scholar] [CrossRef] [Green Version]
  31. Spyropoulou, D.; Leotsinidis, M.; Tsiamita, M.; Spiropoulos, K.; Kardamakis, D. Pulmonary Function Testing in Women with Breast Cancer Treated with Radiotherapy and Chemotherapy. In Vivo 2009, 23, 867–871. [Google Scholar]
  32. Melisko, M.E.; Gradishar, W.J.; Moy, B. Issues in Breast Cancer Survivorship: Optimal Care, Bone Health, and Lifestyle Modifications. Am. Soc. Clin Oncol. Educ. Book 2016, e22–e29. [Google Scholar] [CrossRef] [PubMed]
  33. Hamer, J.; Warner, E. Lifestyle Modifications for Patients with Breast Cancer to Improve Prognosis and Optimize Overall Health. Can. Med. Assoc. J. 2017, 189, E268–E274. [Google Scholar] [CrossRef] [Green Version]
  34. Bouhnik, A.-D.; Bendiane, M.-K.; Cortaredona, S.; Teyssier, L.S.; Rey, D.; Berenger, C.; Seror, V.; Peretti-Watel, P.; members of the VICAN Group. The Labour Market, Psychosocial Outcomes and Health Conditions in Cancer Survivors: Protocol for a Nationwide Longitudinal Survey 2 and 5 Years after Cancer Diagnosis (the VICAN Survey). BMJ Open 2015, 5, e005971. [Google Scholar] [CrossRef] [PubMed]
  35. Paci, E.; Cariddi, A.; Barchielli, A.; Bianchi, S.; Cardona, G.; Distante, V.; Giorgi, D.; Pacini, P.; Zappa, M.; Del Turco, M.R. Long-Term Sequelae of Breast Cancer Surgery. Tumori J. 1996, 82, 321–324. [Google Scholar] [CrossRef]
  36. Cooney, M.A.; Galvin, R.; Stokes, E.K. Do Women with Breast Cancer Report Treatment After-Effects to Healthcare Professionals, and Who Provides the Intervention? Int. J. of Rehab. Res. 2015, 38, 20–26. [Google Scholar] [CrossRef] [PubMed]
  37. Cox, B.; Oyen, H.V.; Cambois, E.; Jagger, C.; le Roy, S.; Robine, J.-M.; Romieu, I. The Reliability of the Minimum European Health Module. Int. J. Public Health 2009, 54, 55–60. [Google Scholar] [CrossRef]
  38. Cortaredona, S.; Pambrun, E.; Verdoux, H.; Verger, P. Comparison of Pharmacy-Based and Diagnosis-Based Comorbidity Measures from Medical Administrative Data: Comorbidity Measures. Pharmacoepidemiol. Drug Saf. 2017, 26, 402–411. [Google Scholar] [CrossRef]
  39. Bouhassira, D.; Attal, N.; Alchaar, H.; Boureau, F.; Brochet, B.; Bruxelle, J.; Cunin, G.; Fermanian, J.; Ginies, P.; Grun-Overdyking, A.; et al. Comparison of Pain Syndromes Associated with Nervous or Somatic Lesions and Development of a New Neuropathic Pain Diagnostic Questionnaire (DN4). Pain 2005, 114, 29–36. [Google Scholar] [CrossRef]
  40. Osoba, D.; Zee, B.; Pater, J.; Warr, D.; Kaizer, L.; Latreille, J. Psychometric Properties and Responsiveness of the EORTC Quality of Life Questionnaire (QLQ-C30) in Patients with Breast, Ovarian and Lung Cancer. Qual. Life Res. 1994, 3, 353–364. [Google Scholar] [CrossRef]
  41. Aaronson, N.K.; Ahmedzai, S.; Bergman, B.; Bullinger, M.; Cull, A.; Duez, N.J.; Filiberti, A.; Flechtner, H.; Fleishman, S.B.; de Haes, J.C. The European Organization for Research and Treatment of Cancer QLQ-C30: A Quality-of-Life Instrument for Use in International Clinical Trials in Oncology. J. Natl. Cancer Inst. 1993, 85, 365–376. [Google Scholar] [CrossRef] [PubMed]
  42. Lazarsfeld, P.F.; Henry, N.W. Latent Structure Analysis; Houghton, Mifflin: New York, NY, USA, 1968; ISBN 978-0-395-04768-2. [Google Scholar]
  43. McLachlan, G.J.; Peel, D. Finite Mixture Models; Wiley series in probability and statistics. Applied probability and statistics section; Wiley: New York, NY, USA, 2000; ISBN 978-0-471-00626-8. [Google Scholar]
  44. Schmitz, K.H.; Speck, R.M.; Rye, S.A.; DiSipio, T.; Hayes, S.C. Prevalence of Breast Cancer Treatment Sequelae over 6 Years of Follow-up: The Pulling Through Study. Cancer 2012, 118, 2217–2225. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Khan, F.; Amatya, B.; Pallant, J.F.; Rajapaksa, I. Factors Associated with Long-Term Functional Outcomes and Psychological Sequelae in Women after Breast Cancer. Breast 2012, 21, 314–320. [Google Scholar] [CrossRef]
  46. Juvet, L.K.; Thune, I.; Elvsaas, I.K.Ø.; Fors, E.A.; Lundgren, S.; Bertheussen, G.; Leivseth, G.; Oldervoll, L.M. The Effect of Exercise on Fatigue and Physical Functioning in Breast Cancer Patients during and after Treatment and at 6 Months Follow-up: A Meta-Analysis. Breast 2017, 33, 166–177. [Google Scholar] [CrossRef]
  47. Ancoli-Israel, S.; Liu, L.; Marler, M.R.; Parker, B.A.; Jones, V.; Sadler, G.R.; Dimsdale, J.; Cohen-Zion, M.; Fiorentino, L. Fatigue, Sleep, and Circadian Rhythms Prior to Chemotherapy for Breast Cancer. Support. Care Cancer 2006, 14, 201–209. [Google Scholar] [CrossRef] [Green Version]
  48. Armstrong, C.W.; McGregor, N.R.; Butt, H.L.; Gooley, P.R. Metabolism in Chronic Fatigue Syndrome. Adv. Clin. Chem. 2014, 66, 121–172. [Google Scholar]
  49. Condorelli, R.; Vaz-Luis, I. Managing Side Effects in Adjuvant Endocrine Therapy for Breast Cancer. Expert. Rev. Anticancer Ther. 2018, 18, 1101–1112. [Google Scholar] [CrossRef]
  50. Early Breast Cancer Trialists’ Collaborative Group (EBCTCG) Effects of Chemotherapy and Hormonal Therapy for Early Breast Cancer on Recurrence and 15-Year Survival: An Overview of the Randomised Trials. Lancet 2005, 365, 1687–1717. [CrossRef]
  51. Berkowitz, M.J.; Thompson, C.K.; Zibecchi, L.T.; Lee, M.K.; Streja, E.; Berkowitz, J.S.; Wenziger, C.M.; Baker, J.L.; DiNome, M.L.; Attai, D.J. How Patients Experience Endocrine Therapy for Breast Cancer: An Online Survey of Side Effects, Adherence, and Medical Team Support. J. Cancer Surviv. 2020. [Google Scholar] [CrossRef] [PubMed]
  52. Bernhard, J.; Luo, W.; Ribi, K.; Colleoni, M.; Burstein, H.J.; Tondini, C.; Pinotti, G.; Spazzapan, S.; Ruhstaller, T.; Puglisi, F.; et al. Patient-Reported Outcomes with Adjuvant Exemestane versus Tamoxifen in Premenopausal Women with Early Breast Cancer Undergoing Ovarian Suppression (TEXT and SOFT): A Combined Analysis of Two Phase 3 Randomised Trials. Lancet Oncol. 2015, 16, 848–858. [Google Scholar] [CrossRef] [Green Version]
  53. Cavadias, I.; Rouzier, R.; Lerebours, F.; Héquet, D. Hot flushes and breast cancer with positive hormone receptors: Mechanisms and management. Bull. Cancer 2020. [Google Scholar] [CrossRef]
  54. Zdenkowski, N.; Tesson, S.; Lombard, J.; Lovell, M.; Hayes, S.; Francis, P.A.; Dhillon, H.M.; Boyle, F.M. Supportive Care of Women with Breast Cancer: Key Concerns and Practical Solutions. Med. J. Aust. 2016, 205, 471–475. [Google Scholar] [CrossRef] [PubMed]
  55. Thariat, J.; Creisson, A.; Chamignon, B.; Dejode, M.; Gastineau, M.; Hébert, C.; Boissin, F.; Topfer, C.; Gilbert, E.; Grondin, B.; et al. Éducation thérapeutique du patient, concepts et mise en œuvre. Bull. Cancer 2016, 103, 674–690. [Google Scholar] [CrossRef]
  56. Pérol, D.; Toutenu, P.; Lefranc, A.; Régnier, V.; Chvetzoff, G.; Saltel, P.; Chauvin, F. Therapeutic education in oncology: Involving patient in the management of cancer. Bull. Cancer 2007, 94, 267–274. [Google Scholar]
  57. Kuo, C.-C.; Lin, C.-C.; Tsai, F.-M. Effectiveness of Empowerment-Based Self-Management Interventions on Patients with Chronic Metabolic Diseases: A Systematic Review and Meta-Analysis. Worldviews Evid. Based Nurs. 2014, 11, 301–315. [Google Scholar] [CrossRef]
  58. Groen, W.G.; Kuijpers, W.; Oldenburg, H.S.; Wouters, M.W.; Aaronson, N.K.; van Harten, W.H. Empowerment of Cancer Survivors Through Information Technology: An Integrative Review. J. Med. Internet Res. 2015, 17, e270. [Google Scholar] [CrossRef] [Green Version]
  59. Fong, D.Y.T.; Ho, J.W.C.; Hui, B.P.H.; Lee, A.M.; Macfarlane, D.J.; Leung, S.S.K.; Cerin, E.; Chan, W.Y.Y.; Leung, I.P.F.; Lam, S.H.S.; et al. Physical Activity for Cancer Survivors: Meta-Analysis of Randomised Controlled Trials. BMJ 2012, 344, e70. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Speck, R.M.; Courneya, K.S.; Mâsse, L.C.; Duval, S.; Schmitz, K.H. An Update of Controlled Physical Activity Trials in Cancer Survivors: A Systematic Review and Meta-Analysis. J. Cancer Surviv. 2010, 4, 87–100. [Google Scholar] [CrossRef]
  61. Boing, L.; Vieira, M.D.C.S.; Moratelli, J.; Bergmann, A.; de Azevedo Guimarães, A.C. Effects of Exercise on Physical Outcomes of Breast Cancer Survivors Receiving Hormone Therapy—A Systematic Review and Meta-Analysis. Maturitas 2020, 141, 71–81. [Google Scholar] [CrossRef]
  62. Sabiston, C.M.; Wrosch, C.; Fong, A.J.; Brunet, J.; Gaudreau, P.; O’Loughlin, J.; Meterissian, S. Life after Breast Cancer: Moving on, Sitting down or Standing Still? A Prospective Study of Canadian Breast Cancer Survivors. BMJ Open 2018, 8, e021770. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Halpern, M.T.; Argenbright, K.E. Evaluation of Effectiveness of Survivorship Programmes: How to Measure Success? Lancet Oncol. 2017, 18, e51–e59. [Google Scholar] [CrossRef]
  64. Mayer, D.K.; Nasso, S.F.; Earp, J.A. Defining Cancer Survivors, Their Needs, and Perspectives on Survivorship Health Care in the USA. Lancet Oncol. 2017, 18, e11–e18. [Google Scholar] [CrossRef]
  65. Perez, E.A.; Rodeheffer, R. Clinical Cardiac Tolerability of Trastuzumab. J. Clin. Oncol. 2004, 22, 322–329. [Google Scholar] [CrossRef] [PubMed]
  66. Harris, E.E.R.; Correa, C.; Hwang, W.-T.; Liao, J.; Litt, H.I.; Ferrari, V.A.; Solin, L.J. Late Cardiac Mortality and Morbidity in Early-Stage Breast Cancer Patients after Breast-Conservation Treatment. J. Clin. Oncol. 2006, 24, 4100–4106. [Google Scholar] [CrossRef] [PubMed]
  67. De Iuliis, F.; Taglieri, L.; Salerno, G.; Lanza, R.; Scarpa, S. Taxane Induced Neuropathy in Patients Affected by Breast Cancer: Literature Review. Crit. Rev. Oncol. Hematol. 2015, 96, 34–45. [Google Scholar] [CrossRef] [PubMed]
  68. Song, S.J.; Min, J.; Suh, S.Y.; Jung, S.H.; Hahn, H.J.; Im, S.-A.; Lee, J.-Y. Incidence of Taxane-Induced Peripheral Neuropathy Receiving Treatment and Prescription Patterns in Patients with Breast Cancer. Support. Care Cancer 2017, 25, 2241–2248. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Flow chart of the study population, “vie après cancer” (VICAN) (n= 654).
Figure 1. Flow chart of the study population, “vie après cancer” (VICAN) (n= 654).
Cancers 13 01161 g001
Figure 2. Evolution of sequelae between two years (VICAN2) and five years (VICAN5) after diagnosis of the six main sequelae (n= 654).
Figure 2. Evolution of sequelae between two years (VICAN2) and five years (VICAN5) after diagnosis of the six main sequelae (n= 654).
Cancers 13 01161 g002
Figure 3. Distribution of the six main sequelae (n = 654). Figure depicts the distribution and co-occurrence of sequelae among patients at two years (VICAN2) (left) and five years (VICAN5) (right). The strength of the association between two sequelae is reflected by the edge width of the ribbon.
Figure 3. Distribution of the six main sequelae (n = 654). Figure depicts the distribution and co-occurrence of sequelae among patients at two years (VICAN2) (left) and five years (VICAN5) (right). The strength of the association between two sequelae is reflected by the edge width of the ribbon.
Cancers 13 01161 g003
Figure 4. Adjusted multinomial logistic regression analysis (n= 654).
Figure 4. Adjusted multinomial logistic regression analysis (n= 654).
Cancers 13 01161 g004
Table 1. Characteristics of the study population (n = 654) a Missing data = 1.
Table 1. Characteristics of the study population (n = 654) a Missing data = 1.
CharacteristicsMean (SD)n (%)
Age at diagnosis (years)49.8 (10.5)
Age at diagnosis (years)
<50 438 (67)
>50 216 (33)
Marital status a
Married/Partners 458 (70)
Single/Divorced/Separated 195 (30)
Education
<High school 286 (44)
≥High school 368 (56)
Occupational status
Employed
Performing trades (farmers, craftsmen, laborers, employees) 271 (42)
Managerial occupations (executives and senior managers, heads of companies, intermediate professions) 198 (30)
Unemployed 185 (28)
Employment status
In employment (or short-term sick leave / leave) 469 (72)
Other situations 185 (28)
a Missing data at VICAN2 = 3 and missing data at VICAN5 = 8.
Table 2. Anthropometric measures, lifestyle factors, clinical data, and changes over time in sequelae at two and five years after diagnosis (n= 654).
Table 2. Anthropometric measures, lifestyle factors, clinical data, and changes over time in sequelae at two and five years after diagnosis (n= 654).
Characteristics Two Years (VICAN2)Five Years (VICAN5)
Mean (SD)n (%)Mean (SD)n (%)
LIFESTYLE
Anthropometry
BMI (kg/m2)24.6 (5.6) -
Underweight (<18.5 kg/m2) 26 (4) -
Normal weight (<25 kg/m2) 382 (58) -
Overweight (25–30 kg/m2) 170 (26) -
Obese (>30 kg/m2) 76 (12) -
Physical activity evolution since diagnosisa
Stop 48 (7) 38 (6)
Decrease 275 (42) 295 (46)
Stable 203 (31) 204 (32)
Increase 125 (19) 109 (17)
Smoking (yes) 128 (20) 135 (21)
Alcohol consumption (yes) 492 (75) 506 (77)
Treatment
Chemotherapy since diagnosis 382 (58) 387 (59)
Radiotherapy since diagnosis 532 (81) 532 (81)
Hormonotherapy since diagnosis
Yes, and I’m still taking this treatment 442 (68) 275 (42)
Yes, and I’m no longer taking this treatment 26 (4) 163(25)
No 186 (28) 215 (33)
Reconstructive surgery NA 164 (25)
Pain score (DN4) b2.4 (1.8) c 2.2 (1.8) c
Fatigue score (EORTC)50.3 (27.6) 48.6 (26.9)
Comorbidity score0.5 (0.4) 0.6 (0.4)
Self-rated global healthc
Very good 127 (19) 34 (5)
Good 252 (39) 80 (12)
Quite good 236 (36) 422 (65)
Bad 37 (6) 86 (13)
Very bad 0 25 (4)
Presence of sequelae 471 (72) 448 (69)
Number of sequelae (mean, SD) 1.6 (1.4) 1.6 (1.5)
Presence and magnitude of sequelae following the management of your diseasec
Intense 53 (8) 34 (5)
Important 146 (23) 117 (18)
Moderate 182 (28) 204 (31)
Very moderate 92 (14) 100 (15)
No sequelae 174 (27) 195 (30)
Specific treatment for sequelaed
Yes - 448 (69)
No - 1.6 (1.5)
a Missing data at VICAN2=3 and missing data at VICAN5 = 8; b Missing data at VICAN2 and VICAN5 = 111; c Missing data at VICAN2 = 2 and missing data at VICAN5 = 7; d Missing data at VICAN5 = 200.
Table 3. Characteristics of the two latent classes model among patients with breast cancer (BC) (n = 654).
Table 3. Characteristics of the two latent classes model among patients with breast cancer (BC) (n = 654).
Class 1 (%)Class 2 (%)
Patterns:Esthetic PatternFunctional Pattern
N340314
Sequelae
Functioning 6.861.8
Pain 050.0
Esthetic 31.27.3
Fatigue 024.8
Psychological 10.911.1
Gynaecological 012.4
SOCIODEMOGRAPHIC AT INCLUSION
Age at diagnosis (years) mean (SD)51.2 (11.3)48.4 (9.5)
<5063.071.3
≥5037.028.7
Education
<High school47.639.5
≥High school52.460.5
Marital status
Married/partners66.773.9
Single/Divorced/Separated33.326.1
Occupational status
Performing trades (farmers, craftsmen, labourers, employees)39.743.3
Managerial occupations (executives and senior managers, heads of companies, intermediate professions)24.736.3
Not in employment at the time of diagnosis35.620.4
LIFESTYLE AT VICAN2
BMI (kg/m2) mean (SD)24.5 (6.2)24.6 (4.9)
BMI (kg/m2)
Underweight (<18.5 kg/m2)2.95.1
Normal weight (<25 kg/m2)61.255.4
Overweight (25–30 kg/m2)25.027.1
Obese (>30 kg/m2)10.912.4
Physical activity evolution since diagnosis
Stop6.58.3
Decrease37.048.0
Stable35.826.2
Increase20.717.5
Smoking (yes)17.921.3
Alcohol consumption (yes)76.873.6
TREATMENTS AT VICAN5
Radiotherapy
Yes79.483.4
No20.616.6
Chemotherapy
Yes53.565.3
No46.534.7
Hormonotherapy since diagnosis
Yes, and I’m still taking this treatment37.547.1
Yes, and I’m no longer taking this treatment26.523.2
No36.029.7
Reconstructive surgery
Yes76.173.6
No23.926.4
Fatigue score (mean, SD)43.0 (27.8)58.2 (25.2)
Comorbidities score (mean, SD)0.7 (0.4)0.7 (0.3)
Table 4. Univariate logistic regression odds ratios of potential risk factors for latent class membership (compared to esthetic pattern) of BC women from the VICAN study (n = 654).
Table 4. Univariate logistic regression odds ratios of potential risk factors for latent class membership (compared to esthetic pattern) of BC women from the VICAN study (n = 654).
Latent Class
VariableClass 1Class 2
PatternsEsthetic patternFunctional pattern
SOCIODEMOGRAPHIC AT INCLUSION
Age (ref <50) 0.98 [0.96–0.99]
≥5010.68 [0.49–0.95]
Education (ref ≥ High school)
<High school10.72 [0.53–0.98]
Marital status (ref = Single)
Married/partners11.42 [1.01–1.98]
Occupational status (ref = managerial occupations)
Performing trades (farmers, craftsmen, labourers, employees)10.74 [0.51–1.07]
Unemployment at the time of diagnosis10.39 [0.26–1.59]
LIFESTYLE AT VICAN2
BMI (kg/m2) (ref = normal) 1.01 [0.98-1.03]
Underweight (<18.5 kg/m2)11.91 [0.85-4.32]
Overweight (25–30 kg/m2)11.20 [0.83–1.72]
Obese (>30 kg/m2)11.26 [0.77–2.06]
Physical activity (ref = stable)
Stop11.74 [0.93–3.28]
Decrease11.77 [1.23–2.56]
Increase11.15 [0.74–1.82]
Smoking (Ref: No)11.24 [0.84–1.83]
Alcohol consumption (Ref: No)10.84 [0.59–1.20]
TREATMENTS AT VICAN5
Chemotherapy
Yes11.63 [1.19–2.24]
Radiotherapy
Yes11.31 [0.88–1.94]
Hormone therapy (ref = no)
Yes, and I’m still taking this treatment11.53 [1.07–2.19]
Yes, and I’m no longer taking this treatment11.06 [0.71–1.60]
Reconstructive surgery
Yes11.14 [0.80–1.63]
Pain score (mean)11.14 [1.04–1.26]
Fatigue score (mean)11.02 [1.01–1.03]
Comorbidities score (mean)11.57 [0.99–2.47]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Delrieu, L.; Bouaoun, L.; Fatouhi, D.E.; Dumas, E.; Bouhnik, A.-D.; Noelle, H.; Jacquet, E.; Hamy, A.-S.; Coussy, F.; Reyal, F.; et al. Patterns of Sequelae in Women with a History of Localized Breast Cancer: Results from the French VICAN Survey. Cancers 2021, 13, 1161. https://doi.org/10.3390/cancers13051161

AMA Style

Delrieu L, Bouaoun L, Fatouhi DE, Dumas E, Bouhnik A-D, Noelle H, Jacquet E, Hamy A-S, Coussy F, Reyal F, et al. Patterns of Sequelae in Women with a History of Localized Breast Cancer: Results from the French VICAN Survey. Cancers. 2021; 13(5):1161. https://doi.org/10.3390/cancers13051161

Chicago/Turabian Style

Delrieu, Lidia, Liacine Bouaoun, Douae El Fatouhi, Elise Dumas, Anne-Deborah Bouhnik, Hugo Noelle, Emmanuelle Jacquet, Anne-Sophie Hamy, Florence Coussy, Fabien Reyal, and et al. 2021. "Patterns of Sequelae in Women with a History of Localized Breast Cancer: Results from the French VICAN Survey" Cancers 13, no. 5: 1161. https://doi.org/10.3390/cancers13051161

APA Style

Delrieu, L., Bouaoun, L., Fatouhi, D. E., Dumas, E., Bouhnik, A. -D., Noelle, H., Jacquet, E., Hamy, A. -S., Coussy, F., Reyal, F., Heudel, P. -E., Bendiane, M. -K., Fournier, B., Michallet, M., Fervers, B., Fagherazzi, G., & Pérol, O. (2021). Patterns of Sequelae in Women with a History of Localized Breast Cancer: Results from the French VICAN Survey. Cancers, 13(5), 1161. https://doi.org/10.3390/cancers13051161

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop