Evidence map›Paper›PMID 28078044›Full record

ArticleAmerican journal of translational research2016

Tumor profiling of co-regulated receptor tyrosine kinase and chemoresistant genes reveal different targeting options for lung and gastroesophageal cancers.

Jianzhong Wu, Shuchun Li, Rong Ma, Ashok Sharma, Shan Bai, Boying Dun, Haixia Cao, Changwen Jing, Jinxiong She, Jifeng Feng

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 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

10 authors at 1 institution in 1 country.

Jianzhong WuClinical Oncology Research Center, Jiangsu Cancer Hospital Nanjing, Jiangsu Province, People's Republic of China.
Shuchun LiCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University Augusta, GA, USA.
Rong MaClinical Oncology Research Center, Jiangsu Cancer Hospital Nanjing, Jiangsu Province, People's Republic of China.
Ashok SharmaCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University Augusta, GA, USA.
Shan BaiCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University Augusta, GA, USA.
Boying DunCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University Augusta, GA, USA.
Haixia CaoClinical Oncology Research Center, Jiangsu Cancer Hospital Nanjing, Jiangsu Province, People's Republic of China.
Changwen JingClinical Oncology Research Center, Jiangsu Cancer Hospital Nanjing, Jiangsu Province, People's Republic of China.
Jinxiong SheCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University Augusta, GA, USA.
Jifeng FengClinical Oncology Research Center, Jiangsu Cancer Hospital Nanjing, Jiangsu Province, People's Republic of China.
Augusta University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expression of a number of genes can influence the response rates to chemotherapy while genes encoding receptor tyrosine kinases (RTKs) determine the response to most targeted cancer therapies currently used in clinics. In this study, we evaluated seven genes known to influence chemotherapeutic response (

Indexed as

cancer heterogeneitychemoresistant genesCo-regulation of gene expressiondrug targetsnormalizationreference genes

Identifiers

PMID28078044
PMCPMC5209524
OpenAlexW2598977451

What OpenQuestion holds

Textmetadata
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.