Evidence map›Paper›PMID 29170406›Full record

ArticleNature communications2017

An extracellular matrix-related prognostic and predictive indicator for early-stage non-small cell lung cancer.

Su Bin Lim, Swee Jin Tan, Wan-Teck Lim, Chwee Teck Lim

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026
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  17. Expression and Purification of Recombinant ADAMTS8.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
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20 more citing papers are in PubMed but not listed here.

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

4 authors.

Su Bin LimNUS Graduate School for Integrative Sciences & Engineering (NGS), National University of Singapore, #05-01, 28 Medical Drive, Singapore, 117456, Singapore.ORCID http://orcid.org/0000-0003-1752-7039
Swee Jin TanClearbridge Accelerator Pte Ltd, Singapore, 118257, Singapore.
Wan-Teck LimDivision of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, 169610, Singapore.
Chwee Teck LimNUS Graduate School for Integrative Sciences & Engineering (NGS), National University of Singapore, #05-01, 28 Medical Drive, Singapore, 117456, Singapore. ctlim@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis and prediction of adjuvant chemotherapy (ACT) response in early-stage non-small cell lung cancer (NSCLC) patients remain poor in this era of personalized medicine. We hypothesize that extracellular matrix (ECM)-associated components could be potential markers for better diagnosis and prognosis due to their differential expression in 1,943 primary NSCLC tumors as compared to 303 normal lung tissues. Here we develop a 29-gene ECM-related prognostic and predictive indicator (EPPI). We validate a robust performance of the EPPI risk scoring system in multiple independent data sets, comprising a total of 2,071 early-stage NSCLC tumors. Patients are stratified according to the universal cutoff score based on the EPPI when applied in the clinical setting; the low-risk group has significantly better survival outcome. The functional EPPI gene set represents a potential genomic tool to improve patient selection in early-stage NSCLC to further derive the best benefits of ACT and prevent unnecessary treatment or ACT-associated morbidity.

Indexed as

AlgorithmsBiomarkers, TumorCarcinoma, Non-Small-Cell LungChemotherapy, AdjuvantComputational BiologyDatabases, GeneticExtracellular MatrixGene Expression ProfilingGenomicsHumansKaplan-Meier EstimateLung NeoplasmsMultigene FamilyNeoplasm StagingPrecision MedicinePrognosisBiomarkers, Tumor

Identifiers

PMID29170406
PMCPMC5700969

What OpenQuestion holds

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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.