This clinical study plans to include 350 liver cancer patients from 10 tertiary hospitals nationwide, starting from August 1, 2025, at multiple centers such as the affiliated Run Run Shaw Hospital of Zhejiang University School of Medicine (the leading unit). They will be divided into a new typing queue (100 cases) and another typing queue (250 cases) using the 29 gene set algorithm. The study will collect tumor tissue samples obtained from surgical resection or puncture of patients (meeting the requirements of sample size and tumor cell proportion), perform RNA seq transcriptome sequencing, and extract patient baseline data, clinical pathological characteristics, laboratory test results, treatment information, and follow-up data from the hospital medical record system. The main objective of this study is to observe the disease progression time (TTP) and objective response rate (ORR) of patients after receiving targeted combined immunotherapy. The secondary observations include progression free survival (PFS), overall survival (OS), dynamic changes in tumor markers, liver function status, and survival after progression. The aim is to analyze the correlation between the 29 gene based new subtype of liver cancer and the efficacy of immunotherapy, providing a basis for precise diagnosis and treatment of liver cancer.
This is a multicenter cohort study aimed at exploring the correlation between a novel 29-gene-based subtype of primary hepatocellular carcinoma (HCC) and response to immunotherapy, with the goal of verifying that this new subtype exhibits higher responsiveness to immunotherapy. Study Population: A total of 350 patients with pathologically confirmed primary HCC will be enrolled from 10 tertiary hospitals across China, with Sir Run Run Shaw Hospital, Zhejiang University School of Medicine as the leading center. Eligibility criteria include: age ≥ 18 years; having measurable tumor lesions per RECIST 1.1; receiving targeted therapy combined with immune checkpoint inhibitors (ICI) after sample collection (with ≥4 weeks interval from prior local treatments if any); availability of qualified tumor samples (≥3g frozen surgical tissues or biopsy specimens sufficient for transcriptome sequencing); and provision of informed consent. Patients will be excluded if they have overlapping local treatments (e.g., TACE, ablation, radiotherapy) during or within 4 weeks of target-ICI combination therapy, concurrent active malignancies (except cured basal cell carcinoma, etc.), severe organ dysfunction (e.g., Child-Pugh Class C liver function, NYHA Class Ⅲ-Ⅳ cardiac function), or other factors interfering with efficacy assessment as judged by investigators. Study Procedures: Sample Processing and Subtyping: Tumor samples will undergo RNA sequencing using the Illumina HiSeq platform (outsourced to Hangzhou DIAN Diagnostics company). After quality control, alignment, and quantification, hierarchical clustering based on a 29-gene signature will classify patients into a "novel subtype cohort" (unmatchable to TCGA HCC clusters) and an "other subtypes cohort". Data Collection: Clinical data will be extracted from electronic medical records, including baseline characteristics (age, gender, Child-Pugh classification), treatment details (target-ICI regimens, doses, cycles), imaging evaluations (enhanced CT/MRI for tumor response assessment per mRECIST), and follow-up data (survival status, tumor marker dynamics). Outcome Measures: Primary Outcomes: Time to Progression (TTP, defined as the interval from initiation of target-ICI therapy to first progression per mRECIST) and Objective Response Rate (ORR, proportion of patients achieving complete response \[CR, disappearance of arterial enhancement in all target lesions\] or partial response \[PR, ≥30% reduction in sum of target lesion diameters\]). ORR will be assessed at Weeks 8, 16, 24, or progression for each line of therapy; if regimens are changed due to poor efficacy, assessment timelines will be reset for the new regimen, with CR/PR status strictly linked to the corresponding regimen. Secondary Outcomes: Progression-Free Survival (PFS), Overall Survival (OS), dynamic changes in tumor markers (AFP, PIVKA-II), liver function status at progression, and Post-Progression Survival (PPS). Statistical Analysis: Group differences will be compared using appropriate tests (t-test, ANOVA, Mann-Whitney U test, Chi-square test, or Fisher's exact test as applicable). Survival analyses (TTP, PFS, OS, PPS) will employ the Kaplan-Meier method with Log-rank tests, and Cox proportional hazards models will evaluate the impact of 29-gene subtyping on progression risk. A p-value \< 0.05 will be considered statistically significant. This study aims to provide evidence for precision immunotherapy in HCC by clarifying the association between the 29-gene-based subtype and immunotherapeutic efficacy.
Study Type
OBSERVATIONAL
Enrollment
350
This is a non - interventional observational study. We will stratify patients with hepatocellular carcinoma (HCC) based on transcriptome sequencing of their tumor samples, specifically using a 29 - gene signature to classify them into different subtypes. Without interfering with patients' existing immunotherapy regimens (which are determined by clinical practice), we will retrospectively collect and analyze data on treatment responses. The goal is to explore the correlation between the 29 - gene - based HCC subtypes and responsiveness to immunotherapy, focusing on differences in outcomes like objective response rate (ORR) and progression - free survival (PFS) across subtypes. This study distinguishes itself by emphasizing observational analysis of pre - existing treatment patterns rather than implementing active interventions, aiming to provide insights into personalized immunotherapy for HCC through genetic subtyping.
The First Affiliated Hospital of University of Science and Technology of China
Hefei, Anhui, China
Cancer Hospital, Chinese Academy of Medical Sciences
Chaoyang, Beijing Municipality, China
Fujian Provincial Hospital
Fuzhou, Fujian, China
The First Affiliated Hospital of Sun Yat - sen University
Guangzhou, Guangdong, China
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China
The Third Affiliated Hospital of Naval Medical University (Shanghai Eastern Hepatobiliary Surgery Hospital)
Shanghai, Shanghai Municipality, China
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, China
Zhongshan Hospital, Fudan University
Shanghai, Shanghai Municipality, China
Sir Run Run Shaw Hospital, Zhejiang University School of Medicine
Hangzhou, Zhejiang, China
Zhejiang Cancer Hospital
Hangzhou, Zhejiang, China
...and 3 more locations
Disease Progression Time (TTP)
Time from initiation of target-ICI therapy to first documentation of disease progression per mRECIST criteria. Progression includes: Target lesions: ≥20% increase in sum of arterial-enhancing diameters (vs baseline) + absolute increase ≥5mm; Non-target lesions: New lesions or definite progression of existing non-target lesions; Distant metastasis: New lung, bone, or lymph node metastases.
Time frame: From target-ICI therapy start, assessed at baseline, Week 8, 16, 24, progression/termination. Max 24 months through study end. Data for all time points.
Objective Response Rate (ORR)
Proportion of patients achieving Complete Response (CR: disappearance of arterial enhancement in all target lesions) or Partial Response (PR: ≥30% reduction in sum of target lesion diameters).
Time frame: From target-ICI therapy start, per regimen: Week 8, 16, 24, progression/termination. New regimens: same time points (reset). Max 24 months through study end. Data for all.
Progression - Free Survival (PFS)
Time from target-ICI therapy start to first disease progression (per mRECIST) or any-cause death (whichever occurs first).
Time frame: From target-ICI therapy start, assessed via imaging (baseline, every 8 weeks) and survival follow-up. Max 24 months through study end. Data for all time points.
Overall Survival (OS)
Time from target-ICI therapy start to any-cause death; lost-to-follow-up patients censored at last follow-up.
Time frame: From target-ICI therapy start, assessed via regular follow-up. Max 24 months through study end. Survival curves; data for all time points.
Alpha-FetoProtein (AFP)
Monitoring of alpha-fetoprotein (AFP) for ≥20% increase (vs baseline) lasting ≥4 weeks, combined with imaging to predict progression risk.
Time frame: From target-ICI therapy start, assessed at baseline, every 4 weeks. Max 24 months. Data for all time points.
Protein Induced by Vitamin K Absence or Antagonist II (PIVKA-II)
Monitoring of protein induced by vitamin K absence/antagonist-II (PIVKA-II) for ≥20% increase (vs baseline) lasting ≥4 weeks, combined with imaging to predict progression risk.
Time frame: From target-ICI therapy start, assessed at baseline, every 4 weeks. Max 24 months. Data for all time points.
Child-Pugh Class
At disease progression, collect Child-Pugh class data. Compare with baseline (excluding drug-induced liver injury) to analyze direct impact of tumor progression on liver function impairment.
Time frame: From target-ICI therapy start, synchronized with progression. Included in 24-month data.
Total Bilirubin
At disease progression, collect total bilirubin data. Compare with baseline (excluding drug-induced liver injury) to analyze direct impact of tumor progression on liver function impairment.
Time frame: From target-ICI therapy start, synchronized with progression. Included in 24-month data.
Albumin
At disease progression, collect albumin data. Compare with baseline (excluding drug-induced liver injury) to analyze direct impact of tumor progression on liver function impairment.
Time frame: From target-ICI therapy start, synchronized with progression. Included in 24-month data.
Internationalnormalizedratio (INR)
At disease progression, collect INR (International Normalized Ratio) data. Compare with baseline (excluding drug-induced liver injury) to analyze direct impact of tumor progression on liver function impairment.
Time frame: From target-ICI therapy start, synchronized with progression. Included in 24-month data.
Post-Progression Survival (PPS)
Time from disease progression to death or study end. Record post-progression treatments (targeted drug change, local therapy) and analyze impact on survival.
Time frame: From disease progression (post target-ICI start), follow-up post-progression. Max 24 months post-progression through study end. Data for all time points.
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