Evidence map›Paper›PMID 29780256›Full record

ArticleOncoTargets and therapy2018

The utilization of next-generation sequencing to detect somatic mutations and predict clinical prognosis of Chinese non-small cell lung cancer patients.

Liming Cao, Long Long, Min Li, Huaping Yang, Pengbo Deng, Xinru Mao, Jianxing Xiang, Bing Li, Tengfei Zhang, Chengping Hu

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2018. 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
0.6field-weighted citation impact, top 40% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. A L833V/H835LHeliyon · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. TheCancer biology & therapy · 2019
    Article
  9. 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

10 authors at 2 institutions in 1 country.

Liming CaoDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Long LongDepartment of Cardiothoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Min LiDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Huaping YangDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Pengbo DengDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xinru MaoBurning Rock Biotech, Guangzhou, China.
Jianxing XiangBurning Rock Biotech, Guangzhou, China.
Bing LiBurning Rock Biotech, Guangzhou, China.
Tengfei ZhangBurning Rock Biotech, Guangzhou, China.
Chengping HuDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Central South University · CNBurning Rock Biotech (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe development of next-generation sequencing (NGS) has revolutionized the understanding of oncogenesis of multiple types of cancer, including non-small cell lung cancer (NSCLC). However, there has been some debate over the utility of NGS for predicting patient prognosis and determining molecular targeted therapy. Therefore, we sought to demonstrate the numerous applications of NGS in the prognostic predictions and treatment of NSCLC patients. MATERIALS AND

methodsWe performed NGS on either liquid or tissue tumor biopsies obtained from 53 NSCLC patients. The sequences were analyzed for oncogenic mutations, which were then correlated to clinical prognosis and smoking history.

resultsNGS of tumor biopsies detected both well-known driver mutations as well as rare or novel mutations.

conclusionWe demonstrated that NGS can be used in multiple applications to effectively identify potential oncogenic driver mutations, guide mutation-targeted therapy decisions, and predict clinical outcomes in Chinese NSCLC patients.

Indexed as

next-generation sequencingnon-small cell lung cancerprognosis

Identifiers

PMID29780256
PMCPMC5951221
OpenAlexW2801798626

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.