Evidence map›Paper›PMID 42082269›Full record

ArticleJournal for immunotherapy of cancer2026

Patient-derived organotypic tumor spheroids as a functional platform for predicting immunotherapeutic responses and guiding precision treatment for hepatocellular carcinoma.

Fei Song, Yi-Jun Lu, Hai-Xiang Sun, Jian-Wen Cheng, Wen-Zhen Li, Zhenhao Liu, Rui-Zhe Li, Peng-Xiang Wang, Wen-Jing Zheng, Yu-Chen Zhong and 10 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Fei SongDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-7898-3110
Yi-Jun LuDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.
Hai-Xiang SunLiver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.
Jian-Wen ChengDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.
Wen-Zhen LiShanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China.
Zhenhao LiuShanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China.
Rui-Zhe LiDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.
Peng-Xiang WangDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.
Wen-Jing ZhengDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-4918-1159
Yu-Chen ZhongDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.
Yang XuDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.
Jie XuDepartment of Hepatobiliary Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Yu WangDepartment of Hepatobiliary Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Su-Yan BaiDepartment of Hepatobiliary Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Lu XieShanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-7541-2243
Kwan ManDepartment of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0001-5663-6866
Jia FanDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-5158-629X
Jian ZhouDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-2118-1117
Zhong ChenDepartment of Hepatobiliary Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China yang.xinrong@zs-hospital.sh.cn chenz9806@163.com.
Xin-Rong YangDepartment of Hepatobiliary Surgery & Liver Transplantation, Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital Fudan University, Shanghai, China yang.xinrong@zs-hospital.sh.cn chenz9806@163.com.ORCID http://orcid.org/0000-0002-2716-9338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) remains a leading cause of cancer mortality worldwide. While immune checkpoint blockade has revolutionized the treatment of many cancers, responses in HCC remain limited. Robust functional platforms capable of predicting individual responses to immunotherapy are urgently needed. In this study, we developed a patient-derived organotypic tumor spheroid (PDOTS) model that preserves the heterogeneity and immune microenvironment of HCC, enabling rapid and reliable assessment of targeted and immunotherapeutic responses.

methodsTumor tissues from 30 HCC patients were processed using a "Five-Point Clock" sampling method and cultured within a three-dimensional microfluidic chip supplemented with IL-2 and CD3/28 activator to maintain tumor-infiltrating lymphocyte activity. The genomic, immune, and histopathological fidelity of PDOTS relative to parental tumors was evaluated. Drug responses were assessed ex vivo and validated in matched patient-derived xenograft (PDX) models. Transcriptomic profiling was subsequently performed to identify gene signatures associated with treatment sensitivity and to construct a transcriptomic predictive model.

resultsThe PDOTS retained ≥60% viability over 7 days and faithfully maintained the genomic, immune, and histopathological profiles of parental tumors. Functionally, PDOTS exhibited immune-dependent responses to PD-1 blockade and predicted treatment responses with 80% concordance in matched PDX models. Transcriptomic profiling revealed distinct metabolic and immune signatures in sensitive and resistant tumors, which were used to derive the "Organoid Killing Index (OKI)". The OKI gene-derived index, a composite index integrating the enrichment scores of gene signatures associated with the OKI, strongly correlated (

conclusionsThese findings establish PDOTS as an immune-competent ex vivo platform for functional precision oncology and support the integration of functional testing with transcriptomic prediction to guide individualized immunotherapy in HCC.

Indexed as

Carcinoma, HepatocellularImmunotherapyLiver NeoplasmsPrecision MedicineSpheroids, CellularAnimalsFemaleHumansMaleMiceTumor MicroenvironmentXenograft Model Antitumor AssaysBiomarkerHepatocellular CarcinomaImmune Checkpoint InhibitorImmunotherapyTumor microenvironment - TME

Identifiers

PMID42082269
PMCPMC13141165

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.