ArticleCancer genomics & proteomics
Stratification Using hTERT and Stem Cell Markers Confers a Good Prognosis in Invasive Breast Cancer.
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.
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.
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.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- CD84 as a Prognostic Biomarker and Therapeutic Target in Breast Cancer: Interconnections With PDL1, CD74, and Immune Tolerance Mechanisms.Cancer genomics & proteomics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.