ArticleMolecular biotechnology2026
Identification and Validation of Alkaliptosis Resistance-Associated Genes in Prostate Cancer Via Transcriptome Sequencing and Prediction of Biochemical Recurrence.
Article in Molecular biotechnology, 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
6 authors.
Funding
Abstract
Androgen deprivation therapy (ADT) is the primary treatment strategy for prostate cancer. However, despite an initially favorable response, tumors inevitably progress to castration-resistant prostate cancer (CRPC). Therefore, the exploration of new therapeutic approaches targeting CRPC has become imperative. Increasing evidence suggests that hypoxia plays a crucial role in the development of CRPC. In this study, we found that the emergence of alkaliptosis resistance and the expression of its marker, CA9, significantly contribute to the progression of castration resistance induced by hypoxia. This study utilized bioinformatics approaches to identify genetic determinants associated with alkaliptosis resistance and explored the clinical significance of these marker genes. Transcriptomic sequencing was performed on the DU145 prostate cancer cell line, which had been induced to acquire alkaliptosis resistance. Using least absolute shrinkage and selection operator (LASSO) regression analysis, a prognostic risk model consisting of 12 genes, including ADORA2A, KCNG4, SEC14L5, B3GAT2, SLFNL1, FAM72D, CBWD3, PPM1K, STARD4, DEPDC1B, MATN3, and DDIAS was developed. The risk model score demonstrated a strong correlation with key patient clinical characteristics, including Gleason score, PSA levels, T stage, and N stage, and was also associated with immune therapy response and biochemical recurrence-free survival (BCRFS). Furthermore, ADORA2A expression in cellular models was found to be a critical factor in promoting alkaliptosis resistance.
Indexed as
Identifiers
39760809What Socratic 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 Socratic graph.