ArticleCancer management and research2026
Prediction of Prostate Adenocarcinoma Recurrence Prognosis and Immune Status Through 6-Acetoxy-Anopterine Resistance-Associated Programmed Cell Death Genes.
Article in Cancer management and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aims to reveal the potential mechanism and potential prognostic markers of programmed cell death (PCD) genes associated with 6-acetoxy-anopterine (6-AA) resistance in prostate adenocarcinoma (PRAD). Patients and Methods: The differentially expressed programmed cell death genes (DEPGs) associated with 6-AA resistance were revealed based on the The Cancer Genome Atlas (TCGA)-PRAD database. Then, a prognostic risk prediction model was established. Moreover, the relationship between the risk model and the immune microenvironment of PRAD samples was revealed, followed by the characteristics and mechanisms investigation of immune cell infiltration in different risk groups. Furthermore, the application prospects of the risk model in predicting drug response sensitivity were explored. Finally, the verification analysis was performed on signature genes using qPCR analysis. Results: A total of totally 57 DEPGs were screened, and these genes mainly assembled in cysteine-type endopeptidase activity functions. The nomogram and survival analysis proved the prognostic value of signatures. Immune infiltration analysis revealed the dyregulation of memory CD4+ T cells between different risk groups. Moreover, 3 clusters were revealed in current study. Finally, the mRNA expression levels of six signatures (TOP2A, PABPN1, BCL2L12, TRIM14, PIK3R1 and LAPTM4B) in the verification analysis were consistent with the findings of our current bioinformatic study. Conclusion: TOP2A, PABPN1, BCL2L12, TRIM14, PIK3R1 and LAPTM4B were novel PCD-related prognostic markers for PRAD. BCL2L12 might take part in the resistance of 6-AA in PRAD via the cysteine-type endopeptidase activity pathway.
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.