Evidence map›Paper›PMID 27613525›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2017

A Two-Gene Prognostic Classifier for Early-Stage Lung Squamous Cell Carcinoma in Multiple Large-Scale and Geographically Diverse Cohorts.

Rintaro Noro, Teruhide Ishigame, Naomi Walsh, Kouya Shiraishi, Ana I Robles, Bríd M Ryan, Aaron J Schetter, Elise D Bowman, Judith A Welsh, Masahiro Seike and 7 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

20 citing papers in PubMed, 33 citations in OpenAlex.

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  13. Sex-Based Dimorphism of Anticancer Immune Response and Molecular Mechanisms of Immune Evasion.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
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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

17 authors at 4 institutions in 4 countries.

Rintaro NoroLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.
Teruhide IshigameLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.
Naomi WalshLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland; Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland.
Kouya ShiraishiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Ana I RoblesLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.
Bríd M RyanLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.
Aaron J SchetterLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.
Elise D BowmanLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.
Judith A WelshLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.
Masahiro SeikeDepartment of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
Akihiko GemmaDepartment of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
Vidar SkaugDepartment of Chemical and Biological Working Environment, National Institute of Occupational Health, Oslo, Norway.
Steen MollerupDepartment of Chemical and Biological Working Environment, National Institute of Occupational Health, Oslo, Norway.
Aage HaugenDepartment of Chemical and Biological Working Environment, National Institute of Occupational Health, Oslo, Norway.
Jun YokotaGenomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer, Barcelona, Spain.
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Curtis C HarrisLaboratory of Human Carcinogenesis, National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, Maryland. Electronic address: curtis_harris@nih.gov.
National Institutes of Health · USNational Institute of Occupational Health · NONippon Medical School · JPInstitute of Predictive and Personalized Medicine of Cancer · ES

Funding

Precision Medicine of CancerZIABC011492 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2025
$23.2M
Molecular Epidemiology of Human Lung CancerZ01BC005480 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 1996 to 2008
$2.3M
Intramural NIH HHS Z01 BC005480
6 · The paper itself

Abstract

introductionThere are no validated molecular methods that prospectively identify patients with surgically resected lung squamous cell carcinoma (SCC) at high risk for recurrence. By focusing on the expression of genes with known functions in development of lung SCC and prognosis, we sought to develop a robust prognostic classifier of early-stage lung SCC.

methodsThe expression of 253 genes selected by literature search was evaluated in microarrays from 107 stage I/II tumors. Associations with survival were evaluated by Cox regression and Kaplan-Meier survival analyses in two independent cohorts of 121 and 91 patients with SCC, respectively. A classifier score based on multivariable Cox regression was derived and examined in six additional publicly available data sets of stage I/II lung SCC expression profiles (n = 358). The prognostic value of this classifier was evaluated in meta-analysis of patients with stage I/II (n = 479) and stage I (n = 326) lung SCC.

resultsDual specificity phosphatase 6 gene (DUSP6) and actinin alpha 4 gene (ACTN4) were associated with prognostic outcome in two independent patient cohorts. Their expression values were utilized to develop a classifier that identified patients with stage I/II lung SCC at high risk for recurrence (hazard ratio [HR] = 4.7, p = 0.018) or cancer-specific mortality (HR = 3.5, p = 0.016). This classifier also identified patients at high risk for recurrence (HR = 2.7, p = 0.008) or death (HR = 2.2, p = 0.001) in publicly available data sets of stage I/II and in meta-analysis of stage I patients.

conclusionsWe have established and validated a prognostic classifier to inform clinical management of patients with lung SCC after surgical resection.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCohort StudiesFemaleFollow-Up StudiesGene Expression ProfilingHumansLung NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalBiomarkers, TumorBiomarkerGene expressionLung squamous cell carcinomaMicroarrayPrognostic classifier

Identifiers

PMID27613525
PMCPMC6503970
OpenAlexW2515354392

What OpenQuestion holds

Textmetadata
LicenceTDM
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.