Evidence map›Paper›PMID 40156674›Full record

ArticleDiscover oncology2025

Intratumor heterogeneity related signature for clinical outcome and immunotherapy advantages in lung adenocarcinoma.

Yanhua Zuo, Li Lin, Libo Sun

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

3 authors.

Yanhua ZuoDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.
Li LinDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.
Libo SunDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China. joe.sun.23@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunotherapy benefits shows discrepancy in different lung adenocarcinoma (LUAD) patients because of the intratumor heterogeneity (ITH). ITH favors tumor evolution and correlated with drug resistance. The genes mediating ITH in LUAD and their role in predicting prognosis and therapy benefits is unclear.

methodsAn ITH-related signature (IRS) was built by ten methods-based integrative machine learning programs using TCGA, GSE68571, GSE42127, GSE30129, GSE50081, GSE72094, GSE37745, GSE68467, and GSE31210 dataset. To assess the relationship between IRS and the tumor immune microenvironment, numerous prediction scores were employed.

resultsThe optimal predictive signature for LUAD cases was the IRS developed using Lasso + stepCox(both) method, which had the highest average C-index of 0.80. It performed consistently and effectively in predicting the clinical outcomes of LUAD patients. Additionally, compared to the clinical stage and numerous other existing prediction models, a higher C-index was demonstrated in IRS. LUAD patients with low IRS score had a higher level of immuno-activated cells, higher TMB score, lower ITH score, higher PD1&CTLA4 immunophenoscore, and tumor escape score in LUAD. The gene set score for angiogenesis, coagulation, hypoxia, and NOTCH signaling were increased in LUAD with high IRS score.

conclusionOverall, the study developed a unique IRS for LUAD that may serve as a predictor of the clinical outcome and immunotherapy advantages for individuals with LAUD.

Indexed as

BioinformaticsBiomarkerImmunotherapyIntratumor heterogeneityLung adenocarcinoma

Identifiers

PMID40156674
PMCPMC11954763

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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.