Evidence map›Paper›PMID 39498358›Full record

ArticleMolecular therapy. Oncology2024

Stratifying hepatocellular carcinoma based on immunophenotypes for immunotherapy response and prognosis.

Yunpeng Liu, Hongchen Ji, Li-Hong Wu, Xiang-Xu Wang, Yue Yang, Qiong Zhang, Hong-Mei Zhang

Abstract read
In one paragraph

Article in Molecular therapy. Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Yunpeng LiuDepartment of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
Hongchen JiDepartment of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
Li-Hong WuDepartment of Gastroenterology, Xijing 986 Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
Xiang-Xu WangDepartment of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
Yue YangDepartment of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
Qiong ZhangDepartment of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
Hong-Mei ZhangDepartment of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy has transformed the management of hepatocellular carcinoma (HCC), but effectiveness varies among patients. This study aimed to identify biomarkers and HCC subtypes responsive to immunotherapy. Patients were classified into Immunity-High (Immunity-H) and Immunity-Low (Immunity-L) subtypes using ssGSEA scores. Prognostic genes were identified through Cox regression, and immune cell infiltration was quantified with TIMER 2.0. Brother of CDO (BOC) expression, analyzed via immunohistochemistry, correlated with immunotherapy responses. Flow cytometry assessed immune cell infiltration relative to BOC levels, while CCK-8 and transwell assays evaluated BOC overexpression's effects on cell proliferation and invasiveness. Clinically, immunity-H patients had better survival outcomes. Three hub genes-BOC, V-Set and Transmembrane Domain Containing 1 (VSTM1), and PRDM12-were identified as significantly associated with prognosis. Among these, BOC and VSTM1 demonstrated positive correlations with immune cell infiltration. Elevated expression of BOC was found to be predictive of favorable responses to immunotherapy and was associated with enhanced infiltration of T cells, dendritic cells, and B cells in the tumor microenvironment. Conversely, BOC overexpression in liver cancer cell lines led to decreased cell proliferation and invasiveness. This study underscores the prognostic significance of HCC subtypes defined by immunogenomic profiles and identifies BOC as a potential biomarker for immunotherapy selection and outcome prediction.

Indexed as

biomarkershepatocellular carcinomaimmunotherapyMT: Novel therapeutic targets and biomarker development Special Issueprognosistumor microenvironment

Identifiers

PMID39498358
PMCPMC11532917

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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.