Article · 2024 Paper GEO V2

Deciphering the prognostic role of endoplasmic reticulum stress in lung adenocarcinoma: integrating prognostic prediction and immunotherapy strategies

Clinical and Experimental Medicine

Full Authors

  1. Bing Wen
  2. Pengpeng Zhang
  3. Jiping Xie
  4. Zhaokai Zhou
  5. Ge Zhang
  6. Lianmin Zhang
  7. Zhenfa Zhang

Research Question

Can an endoplasmic-reticulum-stress gene signature stratify overall-survival prognosis in retrospective LUAD transcriptomic cohorts?

Author Evidence Summary

The study combined LUAD single-cell and bulk transcriptomic datasets to investigate endoplasmic reticulum stress. Twenty-two survival-associated genes were reduced to a 10-gene ERAS signature using LASSO in TCGA. The authors examined survival stratification in TCGA and seven named GEO datasets, and combined ERAS with age and stage in a nomogram. The reported nomogram AUCs were 0.740, 0.754 and 0.754 at 1, 3 and 5 years. Expression of SERPINH1 and GPR37 was assessed by qPCR in 10 paired tumor and adjacent specimens. Immune scores and drug sensitivities were inferred from molecular data; this does not establish that using ERAS to choose treatment improves outcomes.

Cite this paper

Plain citation

Bing Wen, Pengpeng Zhang, Jiping Xie, Zhaokai Zhou, Ge Zhang, Lianmin Zhang, Zhenfa Zhang. Deciphering the prognostic role of endoplasmic reticulum stress in lung adenocarcinoma: integrating prognostic prediction and immunotherapy strategies. Clinical and Experimental Medicine. 2024. https://doi.org/10.1007/s10238-024-01439-4

Author-controlled citation; verify against the publisher version of record.

Evidence Scale

ERAS: endoplasmic-reticulum-stress gene signatures in lung adenocarcinoma

Retrospective transcriptomic modeling defined a 10-gene ERAS signature, evaluated it across TCGA and GEO datasets, and assessed two model genes in 10 paired LUAD specimens. Treatment-response analyses were computational.

bulk survival datasets
TCGA plus seven named GEO datasets
single-cell input patients
9
paired tissue specimens
10 tumor-adjacent pairs
final signature genes
10

Counting note

Datasets and specimen pairs are distinct units. No unique pooled participant total is derived. The Results text calls the external survival datasets six but enumerates seven; Methods and Figure 4C identify TCGA plus seven GEO datasets. External evaluation here means retrospective public-dataset assessment, not prospective clinical validation; cross-dataset participant overlap was not independently reconstructed.

Key Findings

KF1 A 10-gene ERAS signature was selected from 22 survival-associated genes.

Univariate Cox screening followed by LASSO in the TCGA development dataset; public-dataset survival evaluation was not uniformly significant.

Evidence for KF1
MeasureValue
screened prognostic genes22
final ERAS genes10
named survival datasets8 including TCGA

Source locator: Methods: Dataset source; Results: Model construction and evaluation, Par17; Fig. 4A-C; Supplementary Fig. 1 (MOESM1)

Permalink to KF1

KF2 The nomogram combining ERAS, age and stage showed the reported time-specific survival discrimination.

Retrospective nomogram evaluation; these values are not independent prospective performance estimates.

Evidence for KF2
MeasureValue
1-year AUC0.740
3-year AUC0.754
5-year AUC0.754

Source locator: Results: Independent prognostic analysis of the ERAS and construction of the nomogram, Par18; Fig. 6F-H

Permalink to KF2

KF3 SERPINH1 and GPR37 expression was higher in LUAD tumor than paired adjacent tissue in the reported qPCR experiment.

Expression validation only; it does not test survival prediction or treatment effect.

Evidence for KF3
MeasureValue
clinical tissue pairs10
genes tested in this qPCR comparison2: SERPINH1 and GPR37

Source locator: Methods: Clinical specimen collection, Par12; Results: Experimental validation, Par23; Supplementary Fig. 3A-B (MOESM3)

Permalink to KF3

Study Design & Analytical Framework

Study profile

Study Design
Retrospective public-dataset prognostic modeling with tissue expression experiments
Evidence Type
Human transcriptomic associations and limited expression validation
Population
LUAD bulk transcriptomic cohorts, nine treatment-naive patients represented in a single-cell dataset, and paired clinical tissue specimens
Primary Endpoint
Overall survival association and prognostic discrimination
Secondary Endpoint
Inferred immune states, computational drug sensitivity and tissue gene expression
External dataset evaluation
Yes

Data modalities

  • bulk transcriptomics
  • single-cell transcriptomics
  • clinical survival data
  • qPCR

What This Study Adds

  • A stress-related gene score developed retrospectively and assessed across public LUAD transcriptomic datasets.
  • An explicit distinction between prognostic modeling, tissue-expression validation and inferred drug-response hypotheses.

Evidence Scope

Supports

  • Retrospective LUAD prognostic signature development and public-dataset evaluation.
  • Reported nomogram discrimination within the analyzed data.
  • Limited tumor-adjacent expression validation.

Does Not Establish

  • Prospective clinical utility or improved survival from ERAS-guided care.
  • Observed benefit from immunotherapy or chemotherapy selected using ERAS.
  • A causal tumor-promoting effect inferred from expression or survival association alone.

Limitations

  • Retrospective public data and heterogeneous molecular datasets limit clinical transportability.
  • No prospective ERAS-guided intervention was evaluated; public-dataset survival separation and retrospective AUCs do not establish clinical utility.
  • The Results text calls seven named GEO cohorts six. Methods and Figure 4C identify the seven named GEO datasets; no pooled participant total is inferred.
  • Survival separation was not uniformly significant: Figure 4C reports a log-rank P value of 0.091 for GSE29016. The study should not be cited as significant prognostic validation in every external dataset.
  • Immune-infiltration and TMB group differences described in Results include nonsignificant comparisons; computational immune and drug-sensitivity estimates are not observed treatment-response validation.
  • The qPCR experiment assesses two genes in 10 paired tissue specimens; it does not validate the complete survival model or establish that these genes cause tumor progression.
  • The selected figures were checked for labels, reported values and direction, without reanalysis of participant-level or raw qPCR data.

When This Study Is Useful to Cite

  1. CU1: How many genes are in ERAS?

    The signature contains 10 genes selected from 22 survival-associated candidates.

    Evidence: KF1

  2. CU2: What survival discrimination was reported for the ERAS nomogram?

    The nomogram AUCs were 0.740, 0.754 and 0.754 at 1, 3 and 5 years in the reported retrospective evaluation.

    Evidence: KF2

  3. CU3: What experimental expression check accompanied ERAS?

    qPCR compared SERPINH1 and GPR37 in 10 paired LUAD tumor and adjacent tissue samples.

    Evidence: KF3

What This Study Should Not Be Cited to Claim

  • Prospective clinical utility or improved survival from ERAS-guided care.
  • Observed benefit from immunotherapy or chemotherapy selected using ERAS.
  • A causal tumor-promoting effect inferred from expression or survival association alone.
  • Uniformly significant survival separation in every external dataset or a deduplicated pooled patient denominator.

Evidence Matrix

Row IDComponentContextFindingEvidence LevelScopeSource LocatorEvidence refs
evidence-kf1A 10-gene ERAS signature was selected from 22 survival-associated genes.Univariate Cox screening followed by LASSO in the TCGA development dataset; public-dataset survival evaluation was not uniformly significant.screened prognostic genes: 22; final ERAS genes: 10; named survival datasets: 8 including TCGAHuman transcriptomic associations and limited expression validationRetrospective LUAD prognostic signature development and public-dataset evaluation.Methods: Dataset source; Results: Model construction and evaluation, Par17; Fig. 4A-C; Supplementary Fig. 1 (MOESM1)KF1
evidence-kf2The nomogram combining ERAS, age and stage showed the reported time-specific survival discrimination.Retrospective nomogram evaluation; these values are not independent prospective performance estimates.1-year AUC: 0.740; 3-year AUC: 0.754; 5-year AUC: 0.754Human transcriptomic associations and limited expression validationReported nomogram discrimination within the analyzed data.Results: Independent prognostic analysis of the ERAS and construction of the nomogram, Par18; Fig. 6F-HKF2
evidence-kf3SERPINH1 and GPR37 expression was higher in LUAD tumor than paired adjacent tissue in the reported qPCR experiment.Expression validation only; it does not test survival prediction or treatment effect.clinical tissue pairs: 10; genes tested in this qPCR comparison: 2: SERPINH1 and GPR37Human transcriptomic associations and limited expression validationLimited tumor-adjacent expression validation.Methods: Clinical specimen collection, Par12; Results: Experimental validation, Par23; Supplementary Fig. 3A-B (MOESM3)KF3

Q&A

How many genes are in ERAS?

The signature contains 10 genes selected from 22 survival-associated candidates.

Evidence: KF1

What survival discrimination was reported for the ERAS nomogram?

The nomogram AUCs were 0.740, 0.754 and 0.754 at 1, 3 and 5 years in the reported retrospective evaluation.

Evidence: KF2

What experimental expression check accompanied ERAS?

qPCR compared SERPINH1 and GPR37 in 10 paired LUAD tumor and adjacent tissue samples.

Evidence: KF3

Does ERAS establish benefit from a selected immunotherapy or chemotherapy?

No. The reported survival modeling and two-gene expression experiment do not test whether choosing treatment with ERAS improves outcomes.

Evidence: KF1, KF3

Concepts & Entities

Conditions

lung adenocarcinoma

Methods

LASSO Cox regressionsurvival analysissingle-cell transcriptomics

Models & Tools

ERAS

Genes

SERPINH1GPR37

Related Research

Publication & Provenance

DOI
https://doi.org/10.1007/s10238-024-01439-4
Publisher
https://link.springer.com/article/10.1007/s10238-024-01439-4
PMCID
PMC11272744
Pmc Url
https://pmc.ncbi.nlm.nih.gov/articles/PMC11272744/
Fulltext Xml Url
https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11272744/fullTextXML
Figure4 Url
https://link.springer.com/article/10.1007/s10238-024-01439-4/figures/4
Figure6 Url
https://link.springer.com/article/10.1007/s10238-024-01439-4/figures/6
Supplementary Fig1 Url
https://media.springernature.com/original/springer-static/esm/art%3A10.1007%2Fs10238-024-01439-4/MediaObjects/10238_2024_1439_MOESM1_ESM.tif
Supplementary Fig3 Url
https://media.springernature.com/original/springer-static/esm/art%3A10.1007%2Fs10238-024-01439-4/MediaObjects/10238_2024_1439_MOESM3_ESM.tif
Evidence Basis
Published Europe PMC journal XML and the current Springer Nature full text; Figure 4, Figure 6, Supplementary Figures 1 and 3 were visually inspected on 2026-10-26 for the selected claims. No source images are reproduced on this evidence page.
Version
Publisher Version of Record, 25 July 2024; Clinical and Experimental Medicine 24, article 169.
Reporting Discrepancies
The six-versus-seven GEO wording discrepancy is retained explicitly. Figure 4C includes a nonsignificant GSE29016 log-rank comparison; no uniformly significant external validation is asserted.
License
CC BY 4.0; article-level Rights and permissions.
Treatment Inference Locator
Methods: Differences in the TME and drug inference; Results: Drug sensitivity analysis; Figures 9-10. IPS and Oncopredict outputs are computational estimates, not a treated validation cohort.
Author evidence synthesis of a retrospective LUAD prognostic study. Public-dataset evaluation and limited tissue-expression experiments are distinct from prospective clinical utility, causal mechanism or treatment benefit; identified reporting limitations are disclosed below.

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