The Role of PIVKA-II as a Predictor of Early Hepatocellular Carcinoma Recurrence-Free Survival after Liver Transplantation in a Low Alpha-Fetoprotein Population
Abstract
:Simple Summary
Abstract
1. Introduction
2. Methods
2.1. Patients
2.2. Pre-Transplant Data
2.3. Post-Transplant Follow-up and Diagnosis of HCC Recurrence
2.4. Biomarker Determination
2.5. Histopathology
2.6. Milan Criteria on Explant and RETREAT Score
2.7. Statistical Analysis
3. Results
3.1. Patient Characteristics
3.2. HCC Recurrence
3.3. PIVKA-II in Addition to AFP for HCC Recurrence and Microvascular Invasion
3.4. Recurrence-Free Survival Curves in Low AFP Level Patients and in Patients within the Milan Criteria
3.5. Modifying the RETREAT Score with PIVKA-II
3.6. PIVKA-II and Microvascular Invasion
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Zimmerman, M.A.; Ghobrial, R.M.; Tong, M.J.; Hiatt, J.R.; Cameron, A.M.; Hong, J.; Busuttil, R.W. Recurrence of hepatocellular carcinoma following liver transplantation: Are view of preoperative and postoperative prognosticindicators. Arch. Surg. 2008, 2, 182–188; discussion 188. [Google Scholar] [CrossRef]
- BBodzin, A.S.; Lunsford, K.E.; Markovic, D.; Harlander-Locke, M.P.; Busuttil, R.W.; Agopian, V.G. Predicting mortality in patients developing recurren the patocellular carcinoma after liver transplantation: Impact of treatment modality and recurrence characteristics. Ann. Surg. 2017, 266, 118–125. [Google Scholar] [CrossRef]
- Filgueira, N.A. Hepato cellular carcinoma recurrence after liver transplantation: Risk factors, screening and clinical presentation. World J. Hepatol. 2019, 11, 261–272. [Google Scholar] [CrossRef]
- Berenguer, M.; Burra, P.; Ghobrial, M.; Hibi, T.; Metselaar, H.; Sapisochin, G.; Bhoori, S.; Kwan, M.N.; Mas, V.; Ohira, M.; et al. Post transplant Management of Recipients Under going Liver Transplantation for Hepatocellular Carcinoma. Working Group Report from the ILTS Transplant Oncology Consensus Conference. Transplantation 2020, 6, 1143–1149. [Google Scholar] [CrossRef]
- Sapisochin, G.; Goldaracena, N.; Astete, S.; Laurence, J.M.; Davidson, D.; Rafael, E.; Castells, L.; Sandroussi, C.; Bilbao, I.; Dopazo, C.; et al. Benefit of Treating Hepatocellular Carcinoma Recurrence after Liver Transplantation and Analysis of Prognostic Factors for Survivalina Large Euro-American Series. Ann. Surg. Oncol. 2015, 7, 2286–2294. [Google Scholar] [CrossRef]
- Mehta, N.; Heimbach, J.; Harnois, D.M.; Sapisochin, G.; Dodge, J.L.; Lee, D.; Burns, J.M.; Sanchez, W.; Greig, P.D.; Grant, D.R.; et al. Validation of arisk estimation of tumor recurrence after transplant (retreat) score for hepatocellular carcinoma recurrence after liver transplant. JAMA Oncol. 2017, 3, 493–500. [Google Scholar] [CrossRef]
- van Hooff, M.C.; Sonneveld, M.J.; Ijzermans, J.N.; Doukas, M.; Sprengers, D.; Metselaar, H.J.; denHoed, C.M.; deMan, R.A. External Validation of the RETREAT Score for Prediction of Hepatocellular Carcinoma Recurrence after Liver Transplantation. Cancers 2022, 1, 630. [Google Scholar] [CrossRef]
- Pommergaard, H.C.; Burcharth, J.; Rosenberg, J.; Rasmussen, A. Serologic and molecular biomarkers for recurrence of hepatocellular carcinoma after liver transplantation: A Systematic review and meta-analysis. Transplant. Rev. 2016, 30, 171–177. [Google Scholar] [CrossRef]
- Ono, M.; Ohta, H.; Ohhira, M.; Sekiya, C.; Namiki, M. Measurement of immune reactive prothrombin precursor and vitamin-K-dependent gamma-carboxylation in human hepatocellular carcinoma tissues: Decreased carboxylation of prothrombin precursorasa cause of des-gamma-carboxy prothrombin synthesis. Tumour. Biol. 1990, 11, 319–326. [Google Scholar] [CrossRef]
- Liebman, H.A.; Furie, B.C.; Tong, M.J.; Blanchard, R.A.; Lo, K.J.; Lee, S.D.; Coleman, M.S.; Furie, B. Des-gamma-carboxy(abnormal)prothrombinasaserum marker of primary hepatocellular carcinoma. N. Engl. J. Med. 1984, 5, 1427–1431. [Google Scholar] [CrossRef] [PubMed]
- Xing, H.; Zheng, Y.J.; Han, J.; Zhang, H.; Li, Z.L.; Lau, W.Y.; Shen, F.; Yang, T. Protein induced by vitamin K absence orantagonist-IIversusalpha-feto protein in the diagnosis of hepatocellular carcinoma: Asystematic review with meta-analysis. Hepatobiliary Pancreat. Dis. Int. 2018, 12, 487–495. [Google Scholar] [CrossRef] [PubMed]
- Debes, J.D.; Romagnoli, P.A.; Prieto, J.; Arrese, M.; Mattos, A.Z.; Boonstra, A.; Escalon Consortium. Serum Biomarkers for the Prediction of Hepatocellular Carcinoma. Cancers 2021, 4, 1681. [Google Scholar] [CrossRef]
- Kim, W.J.; Lim, T.W.; Park, P.J.; Choi, S.B.; Kim, W.B. Prognostic markers affecting the early recurrence of hepatocellular carcinoma with liver cirrhos is after curativere section. Int. J. Biol. Markers 2019, 6, 123–131. [Google Scholar] [CrossRef]
- Kim, S.H.; Moon, D.B.; Kim, W.J.; Kang, W.H.; Kwon, J.H.; Jwa, E.K.; Cho, H.D.; Ha, S.M.; Chung, Y.K.; Lee, S.G. Pre operativeprognostic values of α-feto protein(AFP) and protein induced by vitamin K absence orantagonist-II(PIVKA-II)in patients withhepatocellular carcinoma for living donor liver transplantation. Hepatobiliary Surg. Nutr. 2016, 12, 461–469. [Google Scholar] [CrossRef]
- Park, M.S.; Lee, K.W.; Kim, H.; Choi, Y.R.; Hong, G.; Yi, N.J.; Suh, K.S. Usefulness of PIVKA-II After Living-donor Liver Transplantation for Hepatocellular Carcinoma. Transplant. Proc. 2017, 6, 1109–1113. [Google Scholar] [CrossRef]
- Lai, Q.; Iesari, S.; Sandri, G.B.L.; Lerut, J. Des-gamma-carboxy prothrombin in hepatocellular cancer patients waiting for liver transplant: A systematic review and meta-analysis. Int. J. Biol. Markers 2017, 10, 370–374. [Google Scholar] [CrossRef]
- Nagtegaal, I.D.; Odze, R.D.; Klimstra, D.; Paradis, V.; Rugge, M.; Schirmacher, P.; Washington, K.M.; Carneiro, F.; Cree, I.A.; WHO Classification of Tumours Editorial Board. The 2019 WHO classification of tumours of the digestive system. Histopathol. 2020, 1, 182–188. [Google Scholar] [CrossRef]
- Yan, W.T.; Quan, B.; Xing, H.; Wu, M.C.; Yang, T. Timetorecurrence, butnotrecurrence-freesurvival, should be the end pointused to predictearly recurrence after HCC resection. J. Hepatol. 2019, 3, 570–571. [Google Scholar] [CrossRef]
- Mehta, N.; Dodge, J.L.; Roberts, J.P.; Yao, F.Y. Validation of the prognostic power of the RETREAT score for hepatocellular carcinoma recurrence using the UNOS database. Am. J. Transplant. 2018, 5, 1206–1213. [Google Scholar] [CrossRef]
- Reddy, S.H.S.; Mehta, N.; Dodge, J.L.; Hakeem, A.R.; Khorsandi, S.E.; Jassem, W.; Vilca-Melendez, H.; Cortes-Cerisuelo, M.; Srinivasan, P.; Prachalias, A.; et al. Liver transplantation for HCC: Validation of prognostic power of there treats core for recurrence in aukcohort. HPB 2022, 5, 596–605. [Google Scholar] [CrossRef]
- Åberg, F.; Abrahamsson, J.; Schult, A.; Bennet, W.; Rizell, M.; Sternby-Eilard, M. The RETREAT score provides valid predictions regarding hepatocellular carcinoma recurrence afterlivertransplantation. Transpl. Int. 2021, 12, 2869–2874. [Google Scholar] [CrossRef]
- Norman, J.S.; Li, P.J.; Kotwani, P.; Shui, A.M.; Yao, F.; Mehta, N. AFP-L3 and DCP strongly predictearly hepatocellular carcinoma recurrence after liver transplantation. J. Hepatol. 2023, 9, 1469–1477. [Google Scholar] [CrossRef]
- Soejima, Y.; Taketomi, A.; Yoshizumi, T.; Uchiyama, H.; Aishima, S.; Terashi, T.; Shimada, M.; Maehara, Y. Extended indicationfor living donor liver transplantation in patients with hepatocellular carcinoma. Transplantation 2007, 4, 893–899. [Google Scholar] [CrossRef]
- Todo, S.; Furukawa, H.; Tada, M.; Japanese Liver Transplantation Study Group. Extending indication: Role of living donor liver transplantation for hepatocellular carcinoma. Liver Transpl. 2007, 11, S48–S54. [Google Scholar] [CrossRef]
- Taketomi, A.; Sanefuji, K.; Soejima, Y.; Yoshizumi, T.; Uhciyama, H.; Ikegami, T.; Harada, N.; Yamashita, Y.; Sugimachi, K.; Kayashima, H.; et al. Impact of des-gamma-carboxy prothrombin and tumor size on there currence of hepatocellular carcinoma after living donor liver transplantation. Transplantation 2009, 2, 531–537. [Google Scholar] [CrossRef]
- Shindoh, J.; Sugawara, Y.; Nagata, R.; Kaneko, J.; Tamura, S.; Aoki, T.; Sakamoto, Y.; Hasegawa, K.; Tanaka, T.; Kokudo, N. Evaluation methods for pretransplant oncologic markers and their prognostic impacts in patient under going living donor liver transplantation for hepatocellular carcinoma. Transpl. Int. 2014, 4, 391–398. [Google Scholar] [CrossRef]
- Fujiki, M.; Takada, Y.; Ogura, Y.; Oike, F.; Kaido, T.; Teramukai, S.; Uemoto, S. Significance of des-gamma-carboxyprothrombin in selection criteria for living donor liver transplantation for hepatocellular carcinoma. Am. J. Transplant. 2009, 10, 2362–2371. [Google Scholar] [CrossRef]
- Ryu, T.; Takami, Y.; Wada, Y.; Tateishi, M.; Hara, T.; Yoshitomi, M.; Momosaki, S.; Yasumori, K.; Saitsu, H.; Okuda, K. A Clinical Scoring System for Predicting Microvascular Invasion in Patients with Hepatocellular Carcinoma with in the Milan Criteria. J. Gastrointest. Surg. 2019, 4, 779–787. [Google Scholar] [CrossRef]
- Li, H.; Li, T.; Hu, J.; Liu, J. A nomogram to predict microvascular in vasionin early hepatocellular carcinoma. J. Cancer Res. Ther. 2021, 7, 652–657. [Google Scholar]
Variable | Total Cohort (n = 121) | Recurrence (n = 15) | No Recurrence (n = 106) | p-Value | |
---|---|---|---|---|---|
Age on LT (y) | 60.7 (53.4–66.1) | 59.9 (53.7–68.2) | 60.8 (53.0–66.1) | 0.777 | |
Male sex | 93 (76.9%) | 12 (80.0%) | 81 (76.4%) | 1.000 | |
Cirrhosis | 118 (97.5%) | 15 (100%) | 103 (97.2%) | 1.000 | |
Etiology | |||||
Viral | 53 (43.8%) | 9 (60.0%) | 44 (41.5%) | 0.266 | |
NAFLD | 15 (12.4%) | 1 (6.7%) | 14 (13.2%) | 0.691 | |
Alcoholic | 27 (22.3%) | 4 (26.7%) | 23 (21.7%) | 0.741 | |
Cryptogenic and others | 26 (21.5%) | 1 (6.7%) | 25 (23.6%) | 0.188 | |
Treatment with curative intention pre-LT | 60 (49.2%) | 6 (40.0%) | 54 (50.9%) | 0.583 | |
Locoregional therapy pre-LT | 32 (26.4%) | 7 (46.7%) | 25 (23.6%) | 0.068 | |
Laboratory MELD-score at time of LT | 12.2 (9.3–16.2) | 9.4 (8.6–14.1) | 12.5 (9.3–17.8) | 0.087 | |
Time on waiting list (mo) | 7.7 (3.7–11.1) | 8.1 (4.9–15.3) | 7.5 (3.4–10.9) | 0.200 | |
Within MC criteria based on pathology | 96 (79.3%) | 7 (46.7%) | 89 (84.0%) | 0.003 | |
No. of viable tumors | |||||
No viable tumor | 19 (15.7%) | 0 | 19 (17.9%) | 0.124 | |
1 tumor | 49 (40.5%) | 5 (33.3%) | 44 (41.5%) | 0.589 | |
2 tumors | 24 (19.8%) | 3 (20.0%) | 21 (19.8%) | 1.000 | |
3 tumors | 13 (10.7%) | 3 (20.0%) | 10 (9.4%) | 0.204 | |
4 or more tumors | 16 (13.2%) | 4 (26.7%) | 12 (11.3%) | 0.112 | |
Greatest viable tumor (cm) | 1.4 (0.7–2.3) | 3.0 (2.0–4.0) | 1.2 (0.6–2.0) | <0.001 | |
Microvasculair invasion | 31 (25.6%) | 12 (80.0%) | 19 (17.9%) | <0.001 | |
Differentiation grade of the tumor | |||||
Unknown | 2 (1.7%) | 1 (0.9%) | 1 (6.7%) | 0.233 | |
Good | 23 (19.0%) | 0 | 23 (21.7%) | 0.072 | |
Moderate | 62 (51.2%) | 9 (60.0%) | 53 (50.0%) | 0.584 | |
Poor | 15 (12.4%) | 5 (35.3%) | 10 (9.4%) | 0.021 | |
AFP (ng/mL) | 7.7 (4.4–20.2) | 25.2 (8.5–1284.4) | 6.4 (4.3–14.7) | 0.001 | |
PIVKA-II (mAU/mL) | 72.0 (41.0–213.5) | 217.0 (79.0–836.0) | 68.0 (37.8–163.5) | 0.005 | |
Follow up time (mo) | 65.9 (37.6–105.0) | 18.2 (8.0–30.4) | 73.1 (48.4–108.9) | <0.001 | |
Death | 47 (38.8%) | 13 (86.7%) | 34 (32.1%) | <0.001 |
A. AFP and PIVKA-II compared in patients within Milan Criteria | |||
Biomarker | Recurrence (n = 7) | No Recurrence (n = 89) | p-Value |
AFP (ng/mL) | 8.5 (5.8–641.7) | 6.4 (4.3–14.3) | 0.174 |
PIVKA-II (mAU/mL) | 217.0 (184.4–879.0) | 65.0 (37.0–154.0) | 0.003 |
B. AFP and PIVKA-II compared in patients with microvascular invasion | |||
Biomarker | Microvascular invasion (n = 31) | No microvascular invasion (n = 90) | p-value |
AFP (ng/mL) | 21.1 (5.8–292.1) | 6.3 (4.3–11.5) | 0.002 |
PIVKA-II (mAU/mL) | 225.0 (97.0–879.0) | 58.5 (36.8–125.5) | >0.001 |
Total | Low AFP & Low PIVKA-II | High AFP & Low PIVKA-II | Low AFP & High PIVKA-II | High AFP & High PIVKA-II | p-Value | ||
---|---|---|---|---|---|---|---|
Microvascular invasion on explant (n, %) | no | 90 | 40 (44.4%) | 20 (22.2%) | 14 (15.6%) | 16 (17.8%) | <0.001 |
yes | 32 | 0 (0.0%) | 6 (18.8%) | 9 (28.1%) | 17 (53.1%) | ||
total | 122 | 40 | 26 | 23 | 33 |
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Devillers, M.J.C.; Pluimers, J.K.F.; van Hooff, M.C.; Doukas, M.; Polak, W.G.; de Man, R.A.; Sonneveld, M.J.; Boonstra, A.; den Hoed, C.M. The Role of PIVKA-II as a Predictor of Early Hepatocellular Carcinoma Recurrence-Free Survival after Liver Transplantation in a Low Alpha-Fetoprotein Population. Cancers 2024, 16, 4. https://doi.org/10.3390/cancers16010004
Devillers MJC, Pluimers JKF, van Hooff MC, Doukas M, Polak WG, de Man RA, Sonneveld MJ, Boonstra A, den Hoed CM. The Role of PIVKA-II as a Predictor of Early Hepatocellular Carcinoma Recurrence-Free Survival after Liver Transplantation in a Low Alpha-Fetoprotein Population. Cancers. 2024; 16(1):4. https://doi.org/10.3390/cancers16010004
Chicago/Turabian StyleDevillers, Monique J. C., Johanna K. F. Pluimers, Maria C. van Hooff, Michail Doukas, Wojciech G. Polak, Robert A. de Man, Milan J. Sonneveld, Andre Boonstra, and Caroline M. den Hoed. 2024. "The Role of PIVKA-II as a Predictor of Early Hepatocellular Carcinoma Recurrence-Free Survival after Liver Transplantation in a Low Alpha-Fetoprotein Population" Cancers 16, no. 1: 4. https://doi.org/10.3390/cancers16010004
APA StyleDevillers, M. J. C., Pluimers, J. K. F., van Hooff, M. C., Doukas, M., Polak, W. G., de Man, R. A., Sonneveld, M. J., Boonstra, A., & den Hoed, C. M. (2024). The Role of PIVKA-II as a Predictor of Early Hepatocellular Carcinoma Recurrence-Free Survival after Liver Transplantation in a Low Alpha-Fetoprotein Population. Cancers, 16(1), 4. https://doi.org/10.3390/cancers16010004