Evidence map›Paper›PMID 29399148›Full record

ArticleOncology letters2018

Mutant-allele fraction heterogeneity is associated with non-small cell lung cancer patient survival.

Sipeng Shen, Yongyue Wei, Ruyang Zhang, Mulong Du, Weiwei Duan, Sheng Yang, Yang Zhao, David C Christiani, Feng Chen

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Detection of theFrontiers in medicine · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. 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 at 1 institution in 1 country.

Sipeng ShenDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.
Yongyue WeiDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.
Ruyang ZhangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.
Mulong DuDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.
Weiwei DuanDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.
Sheng YangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.
Yang ZhaoDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.
David C ChristianiDepartment of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA.
Feng ChenDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.
Nanjing Medical University · CN

Funding

Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
NCI NIH HHS R35 CA197449
6 · The paper itself

Abstract

Genetic intratumor heterogeneity is associated with tumor occurrence, development and overall outcome. The present study aims to explore the association between mutant-allele fraction (MAF) heterogeneity and patient overall survival in lung cancer. Somatic mutation data of 939 non-small cell lung cancer (NSCLC) cases were obtained from The Cancer Genome Atlas. Entropy-based mutation allele fraction (EMAF) score was used to describe the uncertainty of individual somatic mutation patterns and to further analyze the association with patient overall survival. Results indicated that association between EMAF and overall survival was significant in the discovery set [hazard ratio (H)R=1.62; 95% confidence interval (CI): 1.08-2.41; P=0.018] and replication set (HR=1.63; 95% CI: 1.11-2.37; P=0.011). In addition, EMAF was also significantly different in lung adenocarcinoma and squamous cell carcinoma. Furthermore, a significant difference was indicated in early-stage patients. Results from c-index analysis indicated that EMAF improved the model predictive performance on the 3-year survival beyond that of traditional clinical staging, particularly in early-stage patients. In conclusion, EMAF successfully reflected MAF heterogeneity among patients with NSCLC. Additionally, EMAF improved the predictive performance in early-stage patient prognosis beyond that of traditional clinical staging. In clinical application, EMAF appears to identify a subset of early-stage patients with a poor prognosis and therefore may help inform clinical decisions regarding the application of chemotherapy after surgery.

Indexed as

information entropymutant-allele fraction heterogeneitynon-small cell lung canceroverall survival

Identifiers

PMID29399148
PMCPMC5772758
OpenAlexW2768604783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.