Abstract 953P
Background
Vascular encapsulated tumor clusters (VETC) represent a distinctive manifestation of hepatocellular carcinoma (HCC). VETC-positive cases exhibit a characteristic pattern wherein neoplastic cells are surrounded by a contiguous layer of endothelial cells, promoting vascular dissemination and metastasis. Treatment strategies for advanced HCC predominantly involve tyrosine kinase inhibitors (TKI) and immune checkpoint inhibitors (ICI). The resurgence of interest in HCC morphology, prompted by the increasing utilization of HCC biopsy in clinical studies, underscores the potential utility of morphological features as prognostic or predictive biomarkers.
Methods
The investigated cohort comprised 125 patients, each possessing obtainable tumor biopsy specimens and comprehensive clinical records, inclusive of longitudinal follow-up data. For each case, five consecutive tissue sections were subjected to staining with H/E, CD34, GS, CD3, and CD79. CD34 immunostaining was employed to discern the presence of VETC, utilizing a defined threshold of 5% positivity to delineate VETC-positive cases. Additionally, GS, CD3, and CD79 served as surrogate markers for the immune classification of HCC.
Results
Among clinical features, BCLC stage and alpha-fetoprotein (AFP) showed a significant impact on OS in multivariable analysis. Among morphological features, namely HCC histotype and grade, VETC+, high number of CD3/CD79 and diffuse and strong GS staining, were not correlated with prognosis. In particular, VETC+ cases had a median OS of 12 months as compared to 11 months for VETC- cases [P=0.91]. By contrast, VETC showed an important correlation with treatment’s benefit. Indeed, VETC+ patients had a significantly longer OS when treated with TKI and ICI combinations as compared to those treated with ICI or TKI alone [P=0.001]. This difference was not observed in the subgroup of patients with VETC- phenotype [P=0.51].
Conclusions
In advanced HCC, VETC+ cases have a significantly better response to tyrosine kinase inhibitor and immunotherapy combinations. This result candidates VETC+ as a powerful predictive biomarker in HCC.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1427P - Predicting overall survival and prognostic indicator genes in esophagogastric cancer patients using machine learning and bioinformatics analysis
Presenter: Nguyen-Kieu Viet-Nhi
Session: Poster session 17
1428P - Total neoadjuvant FLOT chemotherapy in oesophagogastric adenocarcinoma: An international cohort study
Presenter: Hollie Clements
Session: Poster session 17
1429P - Differences in esophageal cancer incidence and survival by race/ethnicity: A SEER analysis
Presenter: Ashwin Kulshrestha
Session: Poster session 17
1430P - Impact of menadione supplementation in the treatment of patients with metastatic gastric cancer: A randomized phase II clinical trial
Presenter: Francisco Cezar Moraes
Session: Poster session 17
1431P - Assessing pathological complete response to neoadjuvant chemotherapy combined with immunotherapy in esophageal squamous cell carcinoma: A deep learning approach with voxel-level radiomics
Presenter: Yongling Ji
Session: Poster session 17
1432P - Safety of laparoscopic D2 distal gastrectomy following neoadjuvant chemotherapy for locally advanced gastric cancer patients: A prospective multicenter trial (CLASS-03a)
Presenter: Kun Yang
Session: Poster session 17