Evidence map›Paper›PMID 26893723›Full record

ArticleOncology letters2016

Association between the expression levels of TAZ, AXL and CTGF and clinicopathological parameters in patients with colon cancer.

Shu-Dong Zhang, Cian M McCrudden, Hiu-Fung Yuen, Ka Lai Leung, Wan-Jin Hong, Hang Fai Kwok

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Spatiotemporal Loss ofCancer discovery · 2019
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A potential role for CCN2/CTGF in aggressive colorectal cancer.Journal of cell communication and signaling · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Shu-Dong ZhangFaculty of Health Sciences, University of Macau, Macau, SAR, P.R. China; Center for Cancer Research and Cell Biology, School of Pharmacy, Queen's University Belfast, Belfast BT9 7BL, UK.
Cian M McCruddenCenter for Cancer Research and Cell Biology, School of Pharmacy, Queen's University Belfast, Belfast BT9 7BL, UK.
Hiu-Fung YuenInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Proteos, Singapore 138673, Republic of Singapore.
Ka Lai LeungFaculty of Health Sciences, University of Macau, Macau, SAR, P.R. China; Center for Cancer Research and Cell Biology, School of Pharmacy, Queen's University Belfast, Belfast BT9 7BL, UK.
Wan-Jin HongInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Proteos, Singapore 138673, Republic of Singapore.
Hang Fai KwokFaculty of Health Sciences, University of Macau, Macau, SAR, P.R. China; Center for Cancer Research and Cell Biology, School of Pharmacy, Queen's University Belfast, Belfast BT9 7BL, UK; Department of Oncology, University of Cambridge, Cambridge CB2 0XZ, UK.
University of Macau · MOAgency for Science, Technology and Research · SGQueen's University Belfast · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon cancer accounts for a large proportion of all the cancer-associated morbidities worldwide. Genetic analysis and stratification of patients based on survival may identify genetic signatures potentially useful for prognostic or treatment planning purposes. Previous studies have reported that the messenger (m)RNA expression levels of tafazzin (TAZ), AXL receptor tyrosine kinase (AXL) and connective tissue growth factor (CTGF) were able to predict the survival of patients with colon cancer in two independent colon cancer datasets. However, limited clinicopathological data were available from these two datasets. By contrast, a large colon cancer dataset comprising 566 patients has been recently published in the Gene Expression Omnibus database, which contains data regarding tumor stage and location, and genetic status of mismatch repair (MMR), Kirsten rat sarcoma viral oncogene homolog (KRAS), B-Raf proto-oncogene serine/threonine kinase (BRAF) and tumor protein p53 (TP53). In the present study, the mRNA expression levels of TAZ, AXL and CTGF were evaluated, and the TAZ-AXL-CTGF signature was correlated with the available pathological parameters and survival data. Overexpression of TAZ, AXL and CTGF was observed to be associated with severe pathological stage, deficiency in MMR, colon cancer subtype C4 and mutations in the BRAF gene. In addition, overexpression of TAZ-AXL-CTGF was associated with short overall survival in patients with mutations in the TP53 gene, colon cancer subtype C6, proficient MMR and wild-type status of the KRAS and BRAF genes. Furthermore, the prognostic value of TAZ-AXL-CTGF overexpression was observed to be independent of all the clinicopathological parameters and mutational statuses analyzed. The results of the present study confirm the previously reported findings, and suggest that the TAZ-AXL-CTGF mRNA signature is a potential prognostic indicator in colon cancer.

Indexed as

AXLcolon cancerCTGFprognosissurvivalTAZ

Identifiers

PMID26893723
PMCPMC4734239
OpenAlexW2189173751

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.