Evidence map›Paper›PMID 27863408›Full record

ArticleOncotarget2016

An 8-gene signature for prediction of prognosis and chemoresponse in non-small cell lung cancer.

Muhammad Shahid, Tae Gyu Choi, Minh Nam Nguyen, Abel Matondo, Yong Hwa Jo, Ji Youn Yoo, Ngoc Ngo Yen Nguyen, Hyeong Rok Yun, Jieun Kim, Salima Akter and 7 more

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Biochemistry and biophysics reports · 2025
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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.

Muhammad ShahidDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Tae Gyu ChoiDepartment of Biochemistry and Molecular Biology, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Minh Nam NguyenDepartment of Biochemistry and Molecular Biology, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Abel MatondoDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Yong Hwa JoDepartment of Biochemistry and Molecular Biology, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Ji Youn YooDepartment of Biochemistry and Molecular Biology, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Ngoc Ngo Yen NguyenDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Hyeong Rok YunDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Jieun KimDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Salima AkterDepartment of Biochemistry and Molecular Biology, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Insug KangDepartment of Biochemistry and Molecular Biology, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Joohun HaDepartment of Biochemistry and Molecular Biology, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Chi Hoon MaengDepartment of Medical Oncology and Hematology, Kyung Hee University Hospital, Seoul, Republic of Korea.
Si-Young KimDepartment of Medical Oncology and Hematology, Kyung Hee University Hospital, Seoul, Republic of Korea.
Ju-Seog LeeDepartment of Systems Biology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jayoung KimDepartments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Sung Soo KimDepartment of Biochemistry and Molecular Biology, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of a potential gene signature for improved diagnosis in non-small cell lung cancer (NSCLC) patient is necessary. Here, we aim to establish and validate the prognostic efficacy of a gene set that can predict prognosis and benefits of adjuvant chemotherapy (ACT) in NSCLC patients from various ethnicities. An 8-gene signature was calculated from the gene expression of 181 patients using univariate Cox proportional hazard regression analysis. The prognostic value of the signature was robustly validated in 1,477 patients from five microarray independent data sets and one RNA-seq data set. The 8-gene signature was identified as an independent predictor of patient survival in the presence of clinical parameters in univariate and multivariate analyses [hazard ratio (HR): 2.84, 95% confidence interval CI (1.74-4.65), p=3.06e-05, [HR] 2.62, 95% CI (1.51-4.53), p=0.001], respectively. Subset analysis demonstrated that the 8-gene signature could identify high-risk patients in stage II-III with improved survival from ACT [(HR) 1.47, 95% CI (1.01-2.14), p=0.044]. The 8-gene signature also stratified risk groups in EGFR-mutated and wild-type patients. In conclusion, the 8-gene signature is a strong and independent predictor that can significantly stratify patients into low- and high-risk groups. Our gene signature also has the potential to predict patients in stage II-III that are likely to benefit from ACT.

Indexed as

Carcinoma, Non-Small-Cell LungChemotherapy, AdjuvantErbB ReceptorsFemaleHumansLung NeoplasmsMaleMutationNeoplasm StagingPrognosisProportional Hazards ModelsProto-Oncogene Proteins p21(ras)TranscriptomeErbB ReceptorsKRAS protein, humanProto-Oncogene Proteins p21(ras)chemosensitivitymicroarray analysisnon-small cell lung cancerprognosis

Identifiers

PMID27863408
PMCPMC5349935

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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.