Evidence map›Paper›PMID 38355839›Full record

ArticleBritish journal of cancer2024

Stratifying ICIs-responsive tumor microenvironment in HCC: from parsing out immune-hypoxic crosstalk to clinically applicable MRI-radiomics models.

Li-Na Song, Biao Wang, Jia-Liang Cai, Pei-Ling Zhang, Shi-Ping Chen, Zheng-Jun Zhou, Zhi Dai

Open access · greenAbstract read
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 2 countries.

Li-Na Song *Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.ORCID 0000-0001-5182-7831
Biao Wang *Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China.
Jia-Liang CaiLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Pei-Ling ZhangLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Shi-Ping ChenLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Zheng-Jun ZhouLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Zhi DaiLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. zidai007@hotmail.com.ORCID 0000-0002-4032-9201
Fudan University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) No.81871916
6 · The paper itself

Abstract

backgroundWe aimed to redefine Immune checkpoint inhibitors (ICIs)-responsive "hot" TME and develop a corresponding stratification model to maximize ICIs-efficacy in Hepatocellular Carcinoma (HCC).

methodsHypoxic scores were designed, and the relevance to immunotherapy responses were validated in pan-cancers through single cell analysis. Multi-omics analysis using the hypoxic scores and immune infiltrate abundance was performed to redefine the ICIs-responsive TME subtype in HCC patients from TCGA (n = 363) and HCCDB database (n = 228). The immune hypoxic stress index (IHSI) was constructed to stratify the ICIs-responsive TME subtype, with exploring biological mechanism in vitro and in vivo. MRI-radiomics models were built for clinical applicability.

resultsThe hypoxic scores were lower in the dominant cell-subclusters of responders in pan-cancers. The higher immune infiltrate-normoxic (HIN) subtype was redefined as the ICIs-responsive TME. Stratification of the HIN subtype using IHSI effectively identified ICIs-responders in Melanoma (n = 122) and urological cancer (n = 22). TRAF3IP3, the constituent gene of IHSI, was implicated in ICIs-relevant "immune-hypoxic" crosstalk by stimulating MAVS/IFN-I pathway under normoxic condition. MRI-radiomics models assessing TRAF3IP3 with HIF1A expression (AUC > 0.80) screened ICIs-Responders in HCC cohort (n = 75).

conclusionThe hypoxic-immune stratification redefined ICIs-responsive TME and provided MRI-Radiomics models for initial ICIs-responders screening, with IHSI facilitating further identification.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansHypoxiaMagnetic Resonance ImagingRadiomicsTumor Microenvironment

Identifiers

PMID38355839
PMCPMC11014931
OpenAlexW4391823909

What OpenQuestion holds

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Registered trials

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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.