ArticleFrontiers in oncology2026
Predictive value of peripheral blood immune markers for castration-resistant prostate cancer development after endocrine therapy.
Article in Frontiers in oncology, 2026. 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.
- Serum USP1 and PD-L1 levels independently predict treatment response and prognosis in cervical cancer: a retrospective cohort study.American journal of cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To evaluate the predictive value of peripheral blood immune markers for progression to castration-resistant prostate cancer (CRPC) in prostate cancer (PCa) patients undergoing endocrine therapy. Methods: This retrospective study included 106 PCa patients treated with endocrine therapy between 2021 and 2024. Peripheral blood immune parameters were compared between patients who did and did not experience progression to CRPC (progression and stable groups, respectively). The identified independent predictors of CRPC were then used to construct a nomogram for the identification of high-risk patients for early intervention. Internal validation was performed using the bootstrap method with 1000 resamples. Nomogram performance was evaluated by receiver operating characteristic curve, calibration curve, and decision curve analyses. Results: Univariate analysis showed significant differences ( Conclusion: The PLR, SII, CD4+/CD8+ T cell ratio, and T4 tumor stage are independent risk factors for CRPC progression within 2 years of endocrine therapy. The survival prediction model based on these factors offers good predictive efficacy.
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.