Human Germ Cell Tumors are Developmental Cancers: Impact of Epigenetics on Pathobiology and Clinic
Round 1
Reviewer 1 Report
The review article titled “The pathobiological and clinical impact of epigenetics on human germ cell tumors as a developmental cancer”, presents a unique perspective on the underlying cause of human germ cell tumors (GCTs), with emphasis on testicular GCT (TGCT). Specifically, authors argue that metastatic GCTs arise from an interplay between epigenetic (e.g., imprinting), developmental, and environmental factors, and not attributed to somatic abnormalities. They have meticulously elaborated on genetic factors, like, deregulated parental genetic imprinting, defects in germline programming, and developmental abnormalities in gonadal locale/maturation, as critical mediators in tumor causation. In addition, the review also details the possible utilization of two epigenetic factors – methylation patterns and miRNAs as possible biomarkers. However, there are a few issues with the manuscript as mentioned below.
Major Comments
1. The ‘Genvironmental’ Model (section 1.2) should be clearly described under genetic and environmental factors separately first (under distinct sub-heading), and then as an interplay between the two. In addition, the environmental factors need to categorized clearly into external environment (postnatal factors like exposure to diet, physical exercise, marijuana etc.), vs. internal developmental/medical factors, like, cryptorchidism. This section is presented in a very confusing manner.
2. Section (3.2) detailing the utilization of methylation patterns and miRNAs as possible biomarkers should additionally be represented in a tabular format, for convenience.
Minor Comments
1. The title of the manuscript is confusing. It needs to be clear. Similarly, “a developmental cancer” in the title for section 2 is confusing.
2. All the abbreviations used in the main manuscript should be described in a tabular format separately.
3. Individual rows in Table 1 should be separated with a line in between.
4. The abbreviation GCNIS first appears in Line# 117. However, its is described later in Line# 146. It should be described earlier.
5. The epidemiology statistics (Section 1.1) should additionally be presented in a tabular format.
6. The text in Figure 3 is not legible enough due to the miRNA watermark.
7. Line# 227 – “In practice, this unifying model for GCTs…..”. Replace "means they can be" by "enables them to be".
8. Line# 254 – replace the word “progress” with a suitable term or rephrase.
9. Line# 539 – provide appropriate reference9s) for the histological evaluation of TEs.
Author Response
Reviewers' comments:
Reviewer #1:
The review article titled “The pathobiological and clinical impact of epigenetics on human germ cell tumors as a developmental cancer”, presents a unique perspective on the underlying cause of human germ cell tumors (GCTs), with emphasis on testicular GCT (TGCT). Specifically, authors argue that metastatic GCTs arise from an interplay between epigenetic (e.g., imprinting), developmental, and environmental factors, and not attributed to somatic abnormalities. They have meticulously elaborated on genetic factors, like, deregulated parental genetic imprinting, defects in germline programming, and developmental abnormalities in gonadal locale/maturation, as critical mediators in tumor causation. In addition, the review also details the possible utilization of two epigenetic factors – methylation patterns and miRNAs as possible biomarkers.
However, there are a few issues with the manuscript as mentioned below.
Major Comments
1. The ‘Genvironmental’ Model (section 1.2) should be clearly described under genetic and environmental factors separately first (under distinct sub-heading), and then as an interplay between the two. In addition, the environmental factors need to be categorized clearly into external environment (postnatal factors like exposure to diet, physical exercise, marijuana etc.), vs. internal developmental/medical factors, like, cryptorchidism. This section is presented in a very confusing manner.
Reply: Based on the well appreciated suggestion of this reviewer, we subdivided this section into three subsections, first dealing with genetic factors, second with environmental factors (including both external and internal), followed by an integrated section combining all. We strongly agree that this improved the readability of this part of the review.
2. Section (3.2) detailing the utilization of methylation patterns and miRNAs as possible biomarkers should additionally be represented in a tabular format, for convenience.
Reply: We thank the Reviewer for his/her suggestion, which was also mentioned by Reviewer #2. We have added Table 4 summarizing these aspects discussed in the text (see below in the reply to Reviewer #2).
Minor Comments
1. The title of the manuscript is confusing. It needs to be clear. Similarly, “a developmental cancer” in the title for section 2 is confusing.
Reply: The original title “The pathobiological and clinical impact of epigenetics on human germ cell tumors as a developmental cancer” has been adjusted to “Human germ cell tumors are developmental cancers: impact of epigenetics on pathobiology and clinic.”
Also, the title of section 2 was adjusted to “Pathobiology of Germ Cell Tumors and their developmental potential”.
2. All the abbreviations used in the main manuscript should be described in a tabular format separately.
Reply: We thank the Reviewer for the suggestion. It has been added at the end of the Manuscript.
3. Individual rows in Table 1 should be separated with a line in between.
Reply: We thank the Reviewer for his/her suggestion. It has been changed.
4. The abbreviation GCNIS first appears in Line# 117. However, its is described later in Line# 146. It should be described earlier.
Reply: It has been corrected, accordingly.
5. The epidemiology statistics (Section 1.1) should additionally be presented in a tabular format.
Reply: We thank the Reviewer for his/her suggestion, which will make the paper easier to read. We have added Table 1, accordingly. We decided to summarize on the Table only the figures concerning incidence, prevalence and mortality, so not to repeat every figure stated in the text right beneath it.
Table 1. Epidemiology of germ cell tumors: incidence, prevalence and mortality data
Statistics | Context | Source |
Age adjusted incidence rates: 64/1,000,000 (males) versus 4/1,000,000 (females) | Germ cell tumors | Europe (EUROCARE) |
Incidence rates: 0.8% rise/year Estimated new cases: 5.7/100,000/year (all males, 2011-2015) | Testicular cancer | United States of America (SEER) |
Age-standardized incidence rate: 1.7/100,000 (all males) versus 2.7/100,000 (males aged 15-39 years) 5-year prevalence: 150,377 cases (males aged 15-39 years) Estimated new cases (85,635) and deaths (13,288) in 2040 (all males) | Testicular cancer | World (Globocan) |
6. The text in Figure 3 is not legible enough due to the miRNA watermark.
Reply: We thank the Reviewer for calling our attention to this matter. It has been corrected by turning the miR watermark more transparent.
7. Line# 227 – “In practice, this unifying model for GCTs…..”. Replace "means they can be" by "enables them to be".
Reply: It has been corrected in accordance.
8. Line# 254 – replace the word “progress” with a suitable term or rephrase.
Reply: We have rephrased accordingly: “will become invasive tumors”.
9. Line# 539 – provide appropriate references for the histological evaluation of TEs.
Reply: We thank the Reviewer for this suggestion. Proper references were added.
Reviewer 2 Report
This is an interesting article dealing with the contribution of epigenetic modifications to human germ cell tumors. There are however several sections of the manuscript that could be improved. The conclusions are really short and merely speculative: the authors must provide a more integrated overview of the described points.
Major points:
1) Section 1.2 The genvironmental model: authors should better explain the contribution of genetic and environmental factors related to TGCTs. They mention diet, physical exercise or environmental exposure as potential risk factors, but should clarify what kind of diet, physical activity or exposure. Similarly, in line 117 it is unclear what "GCNIS" is for. The genetics of TGCTs is briefly summarized. I would encourage the authors to include a Table and/or figure showing all the genetic and environmental risk factors linked to TGCT and provide the relative/risk or odds ratio for each of them.
2) Authors should include a paragraph explaining epigenetic mechanisms in details.
3) Section 3.1 The use of high-throughput... The authors describe epigenome-wide studies in this section. It is therefore unclear why these studies are not described in section 3.2 The role of epigenetics.
4) One or two Tables are required to summarize both genome-wide and candidate-gene methylation investigations, including the used techniques and the main findings of each study.
5) Also for section 3.2.2 a Table summarizing the studies is required.
6) Conclusions: the manuscript lacks an integrated overview of the use ob genetic, cytogenetic and epigenetic biomarkers for TGCT subtyping. Authors must be able to integrate the various articles described in the study and provide a discussion (as well as a diagram) of the major genetic, cytogenetic and epigenetic marks that could be used to stratify human germ cell tumors into different subtypes and clinical entities.
Author Response
Reviewer #2:
This is an interesting article dealing with the contribution of epigenetic modifications to human germ cell tumors.
Reply: We thank the Reviewer for his/her positive opinion on our work.
There are however several sections of the manuscript that could be improved. The conclusions are really short and merely speculative: the authors must provide a more integrated overview of the described points.
Major points:
1) Section 1.2 The genvironmental model: authors should better explain the contribution of genetic and environmental factors related to TGCTs. They mention diet, physical exercise or environmental exposure as potential risk factors, but should clarify what kind of diet, physical activity or exposure. Similarly, in line 117 it is unclear what "GCNIS" is for. The genetics of TGCTs is briefly summarized. I would encourage the authors to include a Table and/or figure showing all the genetic and environmental risk factors linked to TGCT and provide the relative/risk or odds ratio for each of them.
Reply: We thank the Reviewer for his/her suggestion, which was also pointed out by Reviewer #1. In order to comply with both Reviewers we have divided the section in the manuscript in subsections, described the influences of environmental factors in more detail and have added a Table 2 to summarize this section.
Table 2. Genetic and environmental risk factors for germ cell tumors
Factor | Relative Risk / OR |
Genetic | |
Familial risk Brother with TGCT Father with TGCT |
8-10xs 4-6xs |
Studies in twins Monozygotic twins Dizygotic twins |
76xs 35xs |
Contralateral tumor | 24.8-27.6 |
Various SNPs KITLG-related |
OR >2 or<0.5< span=""> |
Environmental | |
Internal | |
Cryptorchidism | 3.5-17.1 |
Infertility | 1.16-6.72 |
Hypospadias | 1.26-3.61 |
Atrophy | 20.5 |
Previous inguinal hernia | 1.63 |
Microlithiasis | 3.42-13.2 |
Disturbed hormonal conditions in utero (maternal bleeding, first born child, low and high birthweight, short gestational age) | ~1.3 |
Low birthweight | OR 1.28 |
Number of siblings >=5 | OR 0.71 |
External | |
High body mass index | ↑/↓/- |
High stature | ↑/- |
Late onset of puberty | ↓ |
Diet high in fat and dairy products | ↑ |
Low physical exercise | ↑/↓/- |
Firefighters, metal/leather/agricultural workers | ↑ |
Testicular trauma | ↑ |
Marijuana smoking | OR 1.7 |
Abbreviations: KITLG – KIT-ligand; OR – odds ratio; TGCT – testicular germ cell tumor
2) Authors should include a paragraph explaining epigenetic mechanisms in detail.
Reply: We thank the Reviewer for pointing this out. We have added such a paragraph: Epigenetics encompasses an array of processes that change gene expression without altering the DNA sequence, leading to a change in phenotype without changing the genotype. It comprises covalent modifications of DNA (such as DNA methylation), histone variants, histone post-translational modifications and non-coding RNAs (ncRNAs). DNA methylation, one of the most studied mechanisms, occurs by addition of methyl groups to the fifth carbon of cytosines, occurring preferentially at CpG sites, which are unevenly distributed in the genome – being concentrated in the so-called CpG islands. Differential methylation of gene promoters ultimately affect gene expression. Similarly, a number of ncRNAs are involved in the dynamic and environmentally sensitive regulation of gene expression. These molecules are known to interact (directly or indirectly) with the other established epigenetic mechanisms and can also directly interfere with messenger RNA (mRNA); this way, they can be seen as an extension of the complex epigenetic network, establishing important bridges between related modifications and truly influencing gene expression [85-87]. In this review, we will be focusing on methylation and a subtype of ncRNAs – the microRNAs (miRs).
3) Section 3.1 The use of high-throughput... The authors describe epigenome-wide studies in this section. It is therefore unclear why these studies are not described in section 3.2 The role of epigenetics.
Reply: We thank the Reviewer for his/her suggestion. Accordingly, the studies on the section “Use of high-throughput methodologies” were discussed in “The role of epigenetics” section.
4) One or two Tables are required to summarize both genome-wide and candidate-gene methylation investigations, including the used techniques and the main findings of each study.
AND
5) Also for section 3.2.2 a Table summarizing the studies is required.
Reply: We thank the reviewer for his/her suggestion, which was also pointed out by Reviewer #1. In accordance, we have added a Table (Table 4) summarizing these studies. Only one Table, joining both methylation and miRNAs was added as the article contains already many “Figure and Table” elements.
Table 4. Summary of studies on testicular germ cell tumor biomarkers regarding methylation and microRNAs
Methodology | Sample type | Major findings | Year | Author |
Methylation | ||||
Bisulfite sequencing; PCR | Tissues (n=31 TGCTs) and plasma (n=25 TGCT samples, n=24 non-TGCT samples) | XIST region IV frequently unmethylated in TGCTs, especially in SEs | 2004 | Kawakami et al |
Bisulfite sequencing; COBRA | Tissues (n=14 TGCTs, n=10 adjacent testicular parenchyma, n=3 non-TGCTs) and TGCT cell lines | LINE1 hypomethylated in both SEs and NSTs; XIST and CDH1 mainly hypomethylated in SEs and methylated in NSTs | 2011 | Ushida et al |
qMS-PCR | Tissues (n=161 TGCTs, n=16 controls) | Differential methylation of CRIPTO, HOXA9, MGMT, RASSF1A and SCGB3A1 gene promoters among TGCT subtypes | 2018 | Costa et al |
Genome-wide DNA methylation analysis | Tissues (n=130 TGCTs, n=128 benign neighboring testes) | DPPA3 is hypomethylated in both SEs and NSTs; hypermethylation of HM13 in NSTs and subtype-specific hypermethylation of H19 in TEs | 2016 | Killian et al |
Genome-wide DNA methylation analysis | Tissues (n=91 GCTs) and GCT cell lines | SEs, dysgerminomas and STs are globally hypomethylated, while ECs, NSTs and type I TEs are hypermethylated | 2015 | Rijlaarsdam et al |
Genome-wide DNA methylation analysis; RT-qPCR | GCT cell lines | Localized hypermethylation status in YSTs vs disperse hypermethylation status in ECs and TEs | 2015 | Noor et al |
MeDIP; DNA-tiling hybridization; RT-qPCR; IHC | Tissues (n=6 ECs) | Hypermethylated DMRs in ECs (X- and Y-linked genes, genes related to metabolism) | 2016 | Cheung et al |
Genome-wide DNA methylation analysis | Tissues (n=137 TGCTs) | ECs display methylation at CpH sites; methylation of BRCA1 and RAD51C silencing in NSTs | 2018 | Shen et al |
MicroRNAs | ||||
miR library | NA | miR-372 and miR-373 netralize p53 (oncomiRs) | 2006 | Voorhoeve et al |
High-throughput screening of 156 miRs; qPCR | GCT tissues (n=69) and cell lines | Relevance of miR-371-373 cluster; association with differentiation | 2007 | Gillis et al |
High-throughput screening of 615 miRs; RT-qPCR | Pediatric malignant GCTs, controls and GCT cell lines (n=48) | Overexpression of miR-371~373 and miR-372 clusters in all tumor subtypes | 2010 | Palmer et al |
Multiplex PCR | Serum (n=1) of a four-year-old boy | First report of utility of serum miRs in GCTs (miR-371–373 and miR-302 clusters); decrease after treatment | 2011 | Murray et al |
RT-qPCR | Serum (n=12 patients, n=11 controls) | Overexpression of miR-371-3 in patients and decrease after treatment | 2012 | Belge et al |
RT-qPCR | Serum (n=8 malignant GCTs) | Additional specificity of using miR-367-3p | 2012 | Murray and Coleman |
RT-qPCR | Serum (n=24 GCTs, n=17 controls) and GCT tissues (n=15) | miR-371~373 measured in TVB in 6 patients (higher levels); no correlation with levels in tissues | 2012 | Dieckmann et al |
miR array; RT-qPCR | GCNIS tissue samples (n=12) | Identification of miRs unique to GCNIS cells | 2012 | Novotny and Belling et al |
TSmiR | Serum (n=80 GCTs, n=47 controls, n=12 non-GCT masses) | miR-371/372/373/367 panel with 98% sensitivity in diagnosis; higher expression levels in metastatic patients | 2013 | Gillis et al |
RT-qPCR | Serum (testing cohort: n=30 patients and n=18 controls; validation cohort: n=76 patients, n=84 controls) | miR-367-3p, miR-371a-3p, miR372-3p and miR-373-3p overexpressed in patients; miR-371-a-3p showing 84.7% sensitivity and 99% specificity in diagnosis | 2015 | Syring et al |
RT-qPCR | Serum (n=25 GCTs, 6 GCNIS, n=24 non-testicular malignancies, n=20 controls), seminal plasma (n=5), urine (n=3) and pleural effusions (n=1) | miR-371a-3p detected in seminal plasma and pleural effusions, but not in urine; confirmation of its value in serum | 2015 | Spiekermann et al |
High-throughput screening of 750 miRs; RT-qPCR | Serum (n=14 GCTs, n=11 controls) | Confirmation of the relevance of miR-371–373 cluster; novel relevant miRs identified | 2015 | Rijlaarsdam et al |
RT-qPCR | Serum (n=25 TGCTs, n=4 non-TGCTs, n=17 controls) | Suggestion that normalization (relative quantification) is not required when quantifying miR-371-3 | 2015 | Spiekermann |
RT-qPCR | Serum and cerebral spinal fluid (n=45 each) of 25 pediatric patients | Four serum microRNA panel (miR-371a-3p, miR-372-3p, miR-373-30 and miR-367-3p) with high sensitivity and specificity in discriminating intracranial GCT vs non-GCT malignancies; first demonstration of relapse detection | 2016 | Murray et al |
RT-qPCR | GCT tissues and serum (n=25 patients) | C19MC cluster overexpressed in aggressive subtypes | 2016 | Flor et al |
RT-qPCR | Tumor surrounding hydroceles (n=9) and serum (n=64 GCTs) | Hydroceles showing high levels of miR-371a-3p; association with tumor size; confirmed the value of miR-371a-3p in follow-up (relapse detection) | 2016 | Dieckmann et al |
ampTSmiR | Serum (n=250 TGCTs, n=60 non-TGCTs, n=104 controls) | Largest series tested; panel composed of miR-371a-3p, miR-373-3p and miR-367-3p with 90% sensitivity and 91% specificity | 2017 | van Agthoven et al |
RT-qPCR | Serum (n=312 consecutive patients with testicular disease) | Elevated levels aided in detection of clinically silent GCTs and metastases | 2017 | Anheuser et al |
RT-qPCR | Serum and seminal plasma (n=48 patients, n=28 controls) | miR-371a-3p suggested as a poor biomarker in seminal plasma, contrarily to miR-142 | 2017 | Peloni et al |
RT-qPCR | Serum (n=166 GCTs, n=106 controls) | miR-371a-3p shows the best performance in TGCT detection (88.7% sensitivity, 93.4% specificity) | 2017 | Dieckmann et al |
RT-qPCR | Serum (n=27 GCNIS) | miR-371a-3p overexpressed in GCNIS patients | 2017 | Radtke et al |
ampTSmiR | Serum (n=1 SE, n=5 NST) of patients with relapse/residual disease | miR-371a-3p outperformed classical protein markers in detection of disease relapse, except for mature TE | 2017 | van Agthoven et al |
RT-qPCR | Tissues (n=119 TGCTs, n=15 controls) | miR-371a-3p discriminated TGCTs from controls with 92% sensitivity and 93% specificity; decreasing expression with tumor differentiation; TEs discriminated from controls | 2018 | Vilela-Salgueiro et al |
ampTSmiR | Serum (n=82 TGCTs) | miR-371a-3p discriminates viable disease post-chemotherapy (AUC=0.87) | 2018 | Leão et al |
RT-qPCR | Serum (24 TGCTs, clinical stage I) | miR-371a-3p has a very short half-life (<12h)< span=""> | 2018 | Radtke et al |
RT-qPCR | Serum (n=10 TGCT patients with relapse) | Confirmed miR-371a-3p value in detecting relapses | 2018 | Terbuch et al |
ampTSmiR | Plasma (n=199 TGCTs, before chemotherapy) | miR-371a-3p predicts prognosis in chemotherapy naïve patients | 2018 | Mego et al |
Teratoma assay (mouse model) | Plasma of mice | Value of miR-371 family members in detecting undifferentiated and potentially malignant elements present in xenografts | 2018 | Salvatori et al |
miR-sequencing data | Tissues (n=137 TGCTs) | miR-519 cluster overexpressed in ECs; miR-375 overexpressed in TEs and YSTs | 2018 | Shen et al |
Abbreviations: AR – androgen receptor; AUC – area under the curve; COBRA – combined bisulfite restriction analysis; DMR – differentially methylated region; EC – embryonal carcinoma; GCTs – germ cell tumors; MeDIP - methylated DNA immunoprecipitation; miR – microRNA; NST – non-seminomatous tumor; qMS-PCR – quantitative methylation-specific polymerase chain reaction; RT-qPCR – real-time quantitative polymerase chain reaction; SE – seminoma; ST – spermatocytic tumor; TE – teratoma; TGCTs – testicular germ cell tumors; TVB – testicular vein blood; YST – yolk sac tumor
6) Conclusions: the manuscript lacks an integrated overview of the use of genetic, cytogenetic and epigenetic biomarkers for TGCT subtyping. Authors must be able to integrate the various articles described in the study and provide a discussion (as well as a diagram) of the major genetic, cytogenetic and epigenetic marks that could be used to stratify human germ cell tumors into different subtypes and clinical entities.
Reply: We thank the Reviewer for his/her suggestion. We have added such a paragraph and an integrative diagram:
“An integrated model (Figure 4) for defining TGCTs as distinct subtypes, concerning both genetic, cytogenetic and epigenetic biomarkers, is warranted. We have showed that both DNA methylation profiles and miRs expression differ greatly among histological TGCT subtypes, and their detection in liquid biopsies has proved its use, such as miR-371a-3p. Somatic mutations are scarce in TGCTs, and are present mainly in SE components, especially those concerning KIT (which define a specific subset of SEs). Extensive aneuploidy (and frequent presence of i(12p)) is a hallmark of TGCTs, regardless the histologic type. Only by integrating all these factors can we reveal novel unappreciated diversity within TGCTs as clinical entities”.
Round 2
Reviewer 2 Report
The authors have nicely addressed my criticisms