Evidence map›Paper›PMID 41655170›Full record

ArticleDiscover oncology2026

Construction and validation of a prognostic risk score model for malignant mesothelioma.

Qingzheng An, Fengyun Cui, Guangming Shi, Longkun Ni, Kun Xiao, Feng Tian, Yuezhi Chen, Leping Li, Changqing Jing, Guodong Lian

Abstract read
In one paragraph

Article in Discover 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.

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

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.

Qingzheng An *Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Fengyun Cui *Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Guangming ShiShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Longkun NiShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Kun XiaoShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Feng TianShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Yuezhi ChenShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Leping LiShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Changqing JingShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China. jingchangqing@sdfmu.edu.cn.
Guodong LianShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China. lgdong1984@126.com.

Funding

Shandong Provincial Department of Science and Technology WSR2023006
6 · The paper itself

Abstract

purposeMalignant mesothelioma is a rare, aggressive cancer. Although the World Health Organization (WHO) histologic subtypes–epithelioid (best prognosis), biphasic, and sarcomatoid (worst prognosis)—provide baseline stratification, architectural and molecular features (e.g., aneuploidy, immune infiltration) introduce heterogeneity not fully captured by histotype alone.

methodsUsing The Cancer Genome Atlas (TCGA) data and an independent validation cohort, we found that TNM stage was not independently prognostic after multivariable adjustment. We therefore developed a clinicomolecular model integrating transcriptomic and clinicopathological variables. Differential expression analysis of TCGA tumors identified 1,055 genes associated with poor prognosis (FDR < 0.05, |log2FC| > 1). Least absolute shrinkage and selection operator (LASSO) followed by multivariate Cox regression yielded five independent predictors: pathological subtype, receipt of pharmaceutical (systemic) therapy, and tumor expression of SPAG5, CORO1C, and SGCE. The final score was: RiskScore = 1.590 × (pathological type) − 2.258 × (pharmaceutical therapy) + 3.048 × SPAG5 + 1.652 × CORO1C + 0.908 × SGCE.

resultsIn the TCGA cohort, high-risk patients had significantly shorter overall survival (log-rank p < 0.001), and time-dependent ROC AUCs exceeded 0.70 at 1–5 years. In the validation cohort, the RiskScore significantly stratified overall survival (log-rank p < 0.001) and demonstrated superior predictive accuracy over both TNM staging and the established European Organization for Research and Treatment of Cancer (EORTC) prognostic score.

conclusionThis clinicomolecular model provides prognostic discrimination superior to TNM stage and EORTC score, offering a robust tool for risk-stratified management of mesothelioma.

Indexed as

CORO1CLASSO–Cox regressionMesotheliomaPrognostic modelSGCESPAG5

Identifiers

PMID41655170
PMCPMC12988119

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.