Evidence map›Paper›PMID 38728242›Full record

ArticleAging2024

Revealing prognostic insights of programmed cell death (PCD)-associated genes in advanced non-small cell lung cancer.

Weiwei Dong, He Zhang, Li Han, Huixia Zhao, Yue Zhang, Siyao Liu, Jiali Zhang, Beifang Niu, Wenhua Xiao

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Artesunate induces ferroptosis in osteosarcoma through NCOA4-mediated ferritinophagy.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  3. Article
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

9 authors.

Weiwei DongSenior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing 100071, P.R. China.
He ZhangDepartment of Oncology, The Forth Medical Center of PLA General Hospital, Beijing 100048, P.R. China.
Li HanBeijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, P.R. China.
Huixia ZhaoDepartment of Oncology, The Forth Medical Center of PLA General Hospital, Beijing 100048, P.R. China.
Yue ZhangBeijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, P.R. China.
Siyao LiuBeijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, P.R. China.
Jiali ZhangBeijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, P.R. China.
Beifang NiuComputer Network Information Center, Chinese Academy of Sciences, Beijing 100083, P.R. China.
Wenhua XiaoSenior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing 100071, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of patients with advanced non-small cell lung cancer (NSCLC) presents significant challenges due to cancer cells' intricate and heterogeneous nature. Programmed cell death (PCD) pathways are crucial in diverse biological processes. Nevertheless, the prognostic significance of cell death in NSCLC remains incompletely understood. Our study aims to investigate the prognostic importance of PCD genes and their ability to precisely stratify and evaluate the survival outcomes of patients with advanced NSCLC. We employed Weighted Gene Co-expression Network Analysis (WGCNA), Least Absolute Shrinkage and Selection Operator (LASSO), univariate and multivariate Cox regression analyses for prognostic gene screening. Ultimately, we identified seven PCD-related genes to establish the PCD-related risk score for the advanced NSCLC model (PRAN), effectively stratifying overall survival (OS) in patients with advanced NSCLC. Multivariate Cox regression analysis revealed that the PRAN was the independent prognostic factor than clinical baseline factors. It was positively related to specific metabolic pathways, including hexosamine biosynthesis pathways, which play crucial roles in reprogramming cancer cell metabolism. Furthermore, drug prediction for different PRAN risk groups identified several sensitive drugs explicitly targeting the cell death pathway. Molecular docking analysis suggested the potential therapeutic efficacy of navitoclax in NSCLC, as it demonstrated strong binding with the amino acid residues of C-C motif chemokine ligand 14 (CCL14), carboxypeptidase A3 (CPA3), and C-X3-C motif chemokine receptor 1 (CX3CR1) proteins. The PRAN provides a robust personalized treatment and survival assessment tool in advanced NSCLC patients. Furthermore, identifying sensitive drugs for distinct PRAN risk groups holds promise for advancing targeted therapies in NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsApoptosisBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMiddle AgedMolecular Docking SimulationPrognosisBiomarkers, Tumoradvanced NSCLCmolecular dockingPRAN risk modelprogrammed cell death-related genesRT-qPCR

Identifiers

PMID38728242
PMCPMC11131998

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Registered trials

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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.