Usefulness of Tumor Marker Score for Predicting the Prognosis of Hepatocellular Carcinoma Patients Treated with Atezolizumab Plus Bevacizumab: A Multicenter Retrospective Study
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Patients
2.2. Basal Hepatic Disease and Assessment Methods for Hepatic Function
2.3. Diagnosis and Therapeutic Strategies for HCC
2.4. Assessment of Treatment Response
2.5. Methods for Assessment of Prognosis
2.6. Statistical Analysis
3. Results
3.1. Characteristics of the HCC Patients
3.2. Prognosis of HCC Patients Treated with Atez/Bev
3.3. Tumor Marker Score
3.4. Overall Survival and Progression-Free Survival According to Elevation of Each Tumor Marker
3.5. Predictive Value According to TM Score, BCLC Stage, JIS, and mALBI-T Score
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variables | Overall Patients | 0 Points | 1 Point | 2 Points | 3 Points | p-Value |
---|---|---|---|---|---|---|
Age, yrs * | 74 [69, 81] | 75 [70, 80] | 74 [69, 79] | 74 [69, 81] | 75 [69, 81] | 0.827 |
Gender, male: female | 291:80 | 62:19 | 87:23 | 88:24 | 54:14 | 0.971 |
BMI, kg/m2 * | 23.6 [21.2, 26.1] | 24.5 [22.0, 26.5] | 23.7 [21.1, 26.3] | 23.2 [21.2, 26.1] | 23.1 [20.6, 24.9] | 0.170 |
ECOG PS | 0.063 | |||||
0 | 300 (80.9) | 69 (85.2) | 97 (88.2) | 88 (78.6) | 46 (67.6) | |
1 | 55 (14.8) | 10 (12.3) | 12 (10.9) | 17 (15.2) | 16 (23.5) | |
≧2 | 16 (4.3) | 0 | 1 (0.9) | 7 (6.3) | 6 (8.9) | |
Etiology of liver disease | 0.320 | |||||
HBV | 128 (34.5) | 31 (38.3) | 36 (32.7) | 39 (34.8) | 22 (32.4) | |
HCV | 52 (14.0) | 11 (13.6) | 17 (15.5) | 18 (16.1) | 6 (8.8) | |
Alcohol | 76 (20.5) | 14 (17.3) | 27 (24.5) | 15 (13.4) | 20 (29.4) | |
NASH | 29 (7.8) | 6 (7.4) | 8 (7.3) | 13 (11.6) | 2 (2.9) | |
Others | 115 (31.0) | 25 (30.9) | 30 (27.3) | 40 (35.7) | 20 (29.4) | |
BCLC stage | 0.022 | |||||
Very early (0) | 4 (1.1) | 1 (1.2) | 0 | 2 (1.8) | 1 (1.5) | |
Early (A) | 18 (4.9) | 6 (7.4) | 7 (6.4) | 3 (2.7) | 2 (2.9) | |
Intermediate (B) | 142 (38.3) | 37 (45.7) | 52 (47.3) | 35 (31.2) | 18 (26.5) | |
Advanced (C) | 196 (52.8) | 35 (43.2) | 50 (45.5) | 69 (61.6) | 42 (61.8) | |
Terminal (D) | 11 (3.0) | 2 (2.5) | 1 (0.9) | 3 (2.7) | 5 (7.4) | |
Child–Pugh score, n (%) | 0.003 | |||||
5 | 225 (60.6) | 52 | 77 | 65 | 32 | |
6 | 103 (27.8) | 25 | 24 | 33 | 20 | |
≧7 | 43 (11.6) | 4 | 9 | 14 | 16 | |
ALBI score * | −2.47 [−3.47, −0.81] | −2.60 [−2.95, −2.34] | −2.49 [−2.74, −2.20] | −2.40 [−2.68, −2.06] | −2.23 [−2.61, −1.92] | <0.001 |
mALBI grade, n (%) | 0.006 | |||||
1 | 144 (38.8) | 41 (50.6) | 45 (40.9) | 39 (34.8) | 19 (27.9) | |
2a | 93 (25.1) | 25 (30.9) | 25 (22.7) | 29 (25.9) | 14 (20.6) | |
2b | 126 (34.0) | 15 (18.5) | 39 (35.5) | 39 (34.8) | 33 (48.5) | |
3 | 8 (2.2) | 0 | 1 (0.9) | 5 (4.5) | 2 (2.9) | |
Serum albumin (g/dL) * | 3.8 [3.4, 4.1] | 4.0 [3.6, 4.3] | 3.8 [3.5, 4.1] | 3.8 [3.4, 4.1] | 3.6 [3.2, 3.9] | 0.001 |
Total bilirubin (mg/dL) * | 0.8 [0.6, 1.1] | 0.7 [0.5, 1.0] | 0.8 [0.6, 1.1] | 0.8 [0.6, 1.1] | 0.9 [0.7, 1.3] | 0.002 |
Platelet count (109/L) * | 13.7 [10.2, 18.9] | 13.4 [10.4, 18.7] | 13.0 [10.5, 17.4] | 13.8 [10.1, 19.5] | 15.6 [10.3, 22.9] | 0.216 |
Prothrombin time (%) * | 88.0 [77.4, 99.0] | 89.4 [84.9, 99.5] | 91.0 [80.0, 100.0] | 86.7 [77.0, 97.3] | 83.5 [72.9, 97.0] | 0.041 |
Extrahepatic spread, n (%) | 110 (29.6%) | 26 (32.1) | 30 (27.3) | 37 (33.0) | 17 (25.0) | 0.604 |
Macrovascular invasion, n (%) | 59 (15.9) | 3 (3.7) | 11 (10.0) | 22 (19.6) | 23 (33.8) | <0.001 |
AFP ≧ 100 ng/mL, n (%) | 130 (35.0) | 0 (0) | 7 (6.4) | 55 (49.1) | 68 (100) | <0.001 |
AFP-L3 ≧ 10%, n (%) | 187 (50.4) | 0 (0) | 33 (30.0) | 86 (76.8) | 68 (100) | <0.001 |
DCP ≧ 100 mAU/mL | 221 (59.6) | 0 (0) | 70 (63.6) | 83 (74.1) | 68 (100) | <0.001 |
OS | PFS | |||||
---|---|---|---|---|---|---|
HR | 95% CI | p Value | HR | 95% CI | p Value | |
AFP ≥ 100 ng/mL | 1.890 | 1.289–2.772 | 0.001 | 1.865 | 1.393–2.496 | <0.001 |
AFP-L3 ≥ 10% | 1.928 | 1.301–2.857 | 0.001 | 1.227 | 0.920–1.635 | 0.164 |
DCP ≥ 100 mAU/mL | 1.915 | 1.264–2.901 | 0.002 | 1.636 | 1.208–2.215 | 0.001 |
Tumor marker score | ||||||
0 | 1.0 | 1.0 | ||||
1 | 2.525 | 1.205–5.294 | 0.014 | 1.022 | 0.661–1.581 | 0.923 |
2 | 3.796 | 1.834–7.857 | <0.001 | 1.595 | 1.044–2.437 | 0.031 |
3 | 4.977 | 2.338–10.60 | <0.001 | 2.345 | 1.495–3.677 | <0.001 |
0 Points | 1 Point | 2 Points | 3 Points | p-Value | |
---|---|---|---|---|---|
Radiological response, n (%) | 0.136 | ||||
CR | 5 (6.9) | 7 (6.7) | 3 (2.9) | 2 (3.3) | |
PR | 18 (25.0) | 24 (22.9) | 33 (32.4) | 12 (19.7) | |
SD | 35 (48.6) | 62 (59.0) | 45 (44.1) | 30 (49.2) | |
PD | 14 (19.4) | 12 (11.4) | 21 (20.6) | 17 (27.9) | |
ORR, n (%) | 23 (31.9) | 31 (29.5) | 36 (35.3) | 14 (23.0) | 0.416 |
DCR, n (%) | 58 (80.6) | 93 (88.6) | 81 (79.4) | 44 (72.1) | 0.058 |
Univariate Analysis | Multivariate Analysis | |||||
---|---|---|---|---|---|---|
HR | 95% CI | p Value | HR | 95% CI | p Value | |
Age | 1.035 | 1.011–1.060 | 0.004 | 1.037 | 1.013–1.061 | 0.002 |
Gender (=Female) | 0.772 | 0.469–1.268 | 0.307 | |||
Etiology (=viral) | 1.024 | 0.916–1.145 | 0.675 | |||
mALBI grade ≥ 2b | 2.804 | 1.908–4.120 | <0.001 | 2.560 | 1.736–3.774 | <0.001 |
BCLC stage | 1.514 | 1.106–2.073 | 0.009 | 1.237 | 0.909–1.684 | 0.176 |
Tumor marker score | 1.586 | 1.307–1.924 | <0.001 | 1.480 | 1.210–1.812 | <0.001 |
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Tanaka, K.; Tsuji, K.; Hiraoka, A.; Tada, T.; Hirooka, M.; Kariyama, K.; Tani, J.; Atsukawa, M.; Takaguchi, K.; Itobayashi, E.; et al. Usefulness of Tumor Marker Score for Predicting the Prognosis of Hepatocellular Carcinoma Patients Treated with Atezolizumab Plus Bevacizumab: A Multicenter Retrospective Study. Cancers 2023, 15, 4348. https://doi.org/10.3390/cancers15174348
Tanaka K, Tsuji K, Hiraoka A, Tada T, Hirooka M, Kariyama K, Tani J, Atsukawa M, Takaguchi K, Itobayashi E, et al. Usefulness of Tumor Marker Score for Predicting the Prognosis of Hepatocellular Carcinoma Patients Treated with Atezolizumab Plus Bevacizumab: A Multicenter Retrospective Study. Cancers. 2023; 15(17):4348. https://doi.org/10.3390/cancers15174348
Chicago/Turabian StyleTanaka, Kazunari, Kunihiko Tsuji, Atsushi Hiraoka, Toshifumi Tada, Masashi Hirooka, Kazuya Kariyama, Joji Tani, Masanori Atsukawa, Koichi Takaguchi, Ei Itobayashi, and et al. 2023. "Usefulness of Tumor Marker Score for Predicting the Prognosis of Hepatocellular Carcinoma Patients Treated with Atezolizumab Plus Bevacizumab: A Multicenter Retrospective Study" Cancers 15, no. 17: 4348. https://doi.org/10.3390/cancers15174348
APA StyleTanaka, K., Tsuji, K., Hiraoka, A., Tada, T., Hirooka, M., Kariyama, K., Tani, J., Atsukawa, M., Takaguchi, K., Itobayashi, E., Fukunishi, S., Ishikawa, T., Tajiri, K., Ochi, H., Toyoda, H., Ogawa, C., Nishimura, T., Hatanaka, T., Kakizaki, S., ... Kumada, T., on behalf of the Real-life Practice Experts for HCC (RELPEC) Study Group and HCC 48 Group. (2023). Usefulness of Tumor Marker Score for Predicting the Prognosis of Hepatocellular Carcinoma Patients Treated with Atezolizumab Plus Bevacizumab: A Multicenter Retrospective Study. Cancers, 15(17), 4348. https://doi.org/10.3390/cancers15174348