Evidence map›Paper›PMID 26462029›Full record

ArticlePloS one2015

A Panel of Genetic Polymorphism for the Prediction of Prognosis in Patients with Early Stage Non-Small Cell Lung Cancer after Surgical Resection.

Shin Yup Lee, Jin Eun Choi, Hyo-Sung Jeon, Yi-Young Choi, Won Kee Lee, Eung Bae Lee, Hyun Cheol Lee, Hyo-Gyoung Kang, Seung Soo Yoo, Jaehee Lee and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

16 authors at 3 institutions in 1 country.

Shin Yup LeeDepartments of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea; Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea.
Jin Eun ChoiDepartments of Biochemistry and Cell Biology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea; Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea.
Hyo-Sung JeonDepartments of Biochemistry and Cell Biology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea; Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea.
Yi-Young ChoiDepartments of Biochemistry and Cell Biology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Won Kee LeeBiostatistics Center, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Eung Bae LeeLung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea; Department of Thoracic Surgery, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Hyun Cheol LeeDiagnosis and Prediction Biotechnology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Hyo-Gyoung KangDepartments of Biochemistry and Cell Biology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Seung Soo YooDepartments of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea; Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea.
Jaehee LeeDepartments of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Seung Ick ChaDepartments of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Chang Ho KimDepartments of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Myung Hoon LeeDiagnosis and Prediction Biotechnology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Young Tae KimDepartment of Thoracic and Cardiovascular Surgery, Seoul National University School of Medicine, Seoul, Republic of Korea.
Sanghoon JheonDepartment of Thoracic and Cardiovascular Surgery, Seoul National University School of Medicine, Seoul, Republic of Korea.
Jae Yong ParkDepartments of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea; Departments of Biochemistry and Cell Biology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea; Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea.
Kyungpook National University · KRSeoul National University · KRKyungpook National University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was conducted to investigate whether a panel of eight genetic polymorphisms can predict the prognosis of patients with early stage non-small cell lung cancer (NSCLC) after surgical resection. MATERIALS AND

methodsWe selected eight single nucleotide polymorphisms (SNPs) which have been associated with the prognosis of lung cancer patients after surgery in our previous studies. A total of 814 patients with early stage NSCLC who underwent curative surgical resection were enrolled. The association of the eight SNPs with overall survival (OS) and disease-free survival (DFS) was analyzed.

resultsThe eight SNPs (CD3EAP rs967591, TNFRSF10B rs1047266, AKT1 rs3803300, C3 rs2287845, HOMER2 rs1256428, GNB2L1 rs3756585, ADAMTSL3 rs11259927, and CD3D rs3181259) were significantly associated with OS and/or DFS. Combining those eight SNPs, we designed a prognostic index to predict the prognosis of patients. According to relative risk of death, a score value was assigned to each genotype of the SNPs. A worse prognosis corresponded to a higher score value, and the sum of score values of eight SNPs defined the prognostic index of a patient. When we categorized the patients into two groups based on the prognostic index, high risk group was significantly associated with worse OS and DFS compared to low risk group (aHR for OS = 2.21, 95% CI = 1.69-2.88, P = 8.0 x 10-9, and aHR for DFS = 1.58, 95% CI = 1.29-1.94, P = 1.0 x 10-5).

conclusionsPrognostic index using eight genetic polymorphisms may be useful for the prognostication of patients with surgically resected NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm StagingPolymorphism, Single NucleotidePrognosisRisk FactorsSurvival Analysis

Identifiers

PMID26462029
PMCPMC4603900
OpenAlexW2299418975

What OpenQuestion holds

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LicenceCC BY
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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.