Evidence map›Paper›PMID 32108039›Full record

ArticleCancer genomics & proteomics

Stratification Using hTERT and Stem Cell Markers Confers a Good Prognosis in Invasive Breast Cancer.

Umar Wazir, Salim Tayeh, Mona A W Orakzai, Tracey A Martin, Wen G Jiang, Kefah Mokbel

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Umar WazirThe London Breast Institute, Princess Grace Hospital, London, U.K.
Salim TayehThe London Breast Institute, Princess Grace Hospital, London, U.K.
Mona A W OrakzaiThe London Breast Institute, Princess Grace Hospital, London, U.K.
Tracey A MartinCardiff-China Cancer Research Collaboration, Cardiff University School of Medicine, Cardiff University, Cardiff, U.K.
Wen G JiangCardiff-China Cancer Research Collaboration, Cardiff University School of Medicine, Cardiff University, Cardiff, U.K.
Kefah MokbelThe London Breast Institute, Princess Grace Hospital, London, U.K. kefahmokbel@hotmail.com.
Khyber Teaching Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimIn this study, we aimed to investigate the prognostic role of a previously identified panel of 10 stem cell markers stratified against the catalytic subunit of telomerase (hTERT) in human breast cancer. MATERIALS AND

methodsThe mRNA copy numbers of these genes were determined using real time quantitative PCR in 124 breast cancer tissues and adjacent non-cancerous tissues. Relations between mRNA levels and survival were analysed using Kaplan-Meier plots and Cox regression analysis.

resultsFive genes (BMI1, NES, POU5F1, ALDH1A2 and CDKN1A) correlated with survival when stratified with hTERT and predicted overall (Wilcoxon: p=0.004; Cox: p=0.006) and disease-free (Wilcoxon: p<0.000; Cox: p=0.000) survival.

conclusionThis panel of genes stratified by hTERT could open new avenues for the development of new prognostic tools, as well as for the identification of new research directions regarding breast oncogenesis.

Indexed as

Aldehyde Dehydrogenase 1 FamilyBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCyclin-Dependent Kinase Inhibitor p21FemaleHumansNestinOctamer Transcription Factor-3Polycomb Repressive Complex 1PrognosisRetinal DehydrogenaseRNA, MessengerSurvival AnalysisSurvival RateTelomeraseAldehyde Dehydrogenase 1 FamilyALDH1A2 protein, humanBiomarkers, TumorBMI1 protein, humanCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21NES protein, humanNestinOctamer Transcription Factor-3Polycomb Repressive Complex 1POU5F1 protein, humanRetinal DehydrogenaseRNA, MessengerTelomeraseTERT protein, humanbreast cancercell cyclepluripotencyPrognosis

Identifiers

PMID32108039
PMCPMC7078839
OpenAlexW3008698342

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.