Evidence map›Paper›PMID 42735562›Full record

ArticleTranslational oncology2026

An immune related cell death index for prognostic stratification and immunotherapy response prediction in oral cancer.

Jinglin, Jiao Lu, Guihong Liu, Peijun Qi, Yingying Zong, Hang Yu, Zhaochen Hu, Jing Ding, Zhao Liu, Liangsicheng Tang

Abstract read
In one paragraph

Article in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

JinglinDepartment of Radiation Oncology, The Affiliated Hospital of Xuzhou Medical University,Xuzhou, 221000, China.
Jiao LuDepartment of Ultrasound Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Guihong LiuDepartment of Radiation Oncology, The Affiliated Hospital of Xuzhou Medical University,Xuzhou, 221000, China.
Peijun QiDepartment of Ultrasound Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Yingying ZongDepartment of Ultrasound Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Hang YuDepartment of Ultrasound Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Zhaochen HuDepartment of Ultrasound Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Jing DingDepartment of Ultrasound Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Zhao LiuDepartment of Nuclear Medicine, The Affiliated Hospital of Xuzhou Medical University, No. 99 West Huaihai Road, Xu Zhou, Jiangsu, 221002, China. Electronic address: xyfylz@163.com.
Liangsicheng TangDepartment of Ultrasound Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China. Electronic address: tlsctlsc@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-related cell death (IRCD) plays a crucial role in the immune microenvironment, development, and deterioration of oral cancer. However, reliable immune-related cell death profiles have not been explored. In this study, based on multiple oral cancer datasets such as TCGA, tumors were divided into two immune subtypes, "Hot" and "Cold", using the ConsensusClusterPlus algorithm, and significant differences were found between the two in immune cell infiltration, microenvironment activity, and immunotherapy responsiveness. The immune-related cell death index (IRCDI) based on immune-related cell death gene (IRCDG) was further constructed to reveal that IRCDI can be used as an independent prognostic indicator and is closely related to immune activity, gene mutation characteristics and a variety of signaling pathways. Both single cell analysis and immunosubtype analysis showed that low IRCDI was closely related to enhanced immunocompetence. Although IRCDI has a limited predictive role in the TIDE algorithm, it has a good predictive ability in multiple real immunotherapy cohorts and shows specific sensitivity to different drugs, suggesting that IRCDI is expected to be an important biomarker to guide individualized treatment of oral cancer.

Indexed as

BiomarkerImmune-related cell deathOral cancerPrognostic model

Identifiers

PMID42735562
PMCPMC13594761

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.