Evidence map›Paper›PMID 38831301›Full record

ArticleCancer cell international2024

Identifying disulfidptosis subtypes in hepatocellular carcinoma through machine learning and preliminary exploration of its connection with immunotherapy.

Guanjun Chen, Ganghua Zhang, Yuxing Zhu, Anshan Wu, Jianing Fang, Zhijing Yin, Haotian Chen, Ke Cao

Abstract read
In one paragraph

Article in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. The emerging roles of disulfidptosis in cancer.Apoptosis : an international journal on programmed cell death · 2026
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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

8 authors.

Guanjun Chen *Department of Oncology, Third Xiangya Hospital of Central South University, Changsha, 410013, China.
Ganghua Zhang *Department of Oncology, Third Xiangya Hospital of Central South University, Changsha, 410013, China.
Yuxing ZhuDepartment of Oncology, Third Xiangya Hospital of Central South University, Changsha, 410013, China.
Anshan WuDepartment of Oncology,, Zhuzhou Hospital Xiangya School of Medicine, Zhuzhou, 412000, China.
Jianing FangDepartment of Oncology, Third Xiangya Hospital of Central South University, Changsha, 410013, China.
Zhijing YinDepartment of Oncology, Third Xiangya Hospital of Central South University, Changsha, 410013, China.
Haotian ChenDepartment of Oncology, Third Xiangya Hospital of Central South University, Changsha, 410013, China.
Ke CaoDepartment of Oncology, Third Xiangya Hospital of Central South University, Changsha, 410013, China. csucaoke@163.com.

Funding

Central South University Research Programme of Advanced Interdisciplinary Studies 2023QYJC017International Cooperation and Exchange of the National Natural Science Foundation of China GZ1699key research and development projects in Hunan Province 2022SK2022Scientific research project of Hunan Provincial Health Commission 202209034683the Hunan Province Science and Technology Talent Promotion Project 2019TJ-Q10the science and technology innovation Program of Hunan Province 2020RC4011the Wisdom Accumulation and Talent Cultivation Project of the Third xiangya hosipital of Central South University BJ202001
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a highly prevalent and deadly cancer, with limited treatment options for advanced-stage patients. Disulfidptosis is a recently identified mechanism of programmed cell death that occurs in SLC7A11 high-expressing cells due to glucose starvation-induced disintegration of the cellular disulfide skeleton. We aimed to explore the potential of disulfidptosis, as a prognostic and therapeutic marker in HCC.

methodsWe classified HCC patients into two disulfidptosis subtypes (C1 and C2) based on the transcriptional profiles of 31 disulfrgs using a non-negative matrix factorization (NMF) algorithm. Further, five genes (NEIL3, MMP1, STC2, ADH4 and CFHR3) were screened by Cox regression analysis and machine learning algorithm to construct a disulfidptosis scoring system (disulfS). Cell proliferation assay, F-actin staining and PBMC co-culture model were used to validate that disulfidptosis occurs in HCC and correlates with immunotherapy response.

resultsOur results suggests that the low disulfidptosis subtype (C2) demonstrated better overall survival (OS) and progression-free survival (PFS) prognosis, along with lower levels of immunosuppressive cell infiltration and activation of the glycine/serine/threonine metabolic pathway. Additionally, the low disulfidptosis group showed better responses to immunotherapy and potential antagonism with sorafenib treatment. As a total survival risk factor, disulfS demonstrated high predictive efficacy in multiple validation cohorts. We demonstrated the presence of disulfidptosis in HCC cells and its possible relevance to immunotherapeutic sensitization.

conclusionThe present study indicates that novel biomarkers related to disulfidptosis may serve as useful clinical diagnostic indicators for liver cancer, enabling the prediction of prognosis and identification of potential treatment targets.

Indexed as

DisulfidptosisHepatocellular carcinomaImmunotherapyMolecular typingSurvival prognosis

Identifiers

PMID38831301
PMCPMC11149214

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