ReviewTranslational cancer research2025
PARP-1 in tumor complicated with depression-possible role and therapeutic perspective: a narrative review.
Review in Translational cancer research, 2025. 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.
- Yinzhilan Formula Ameliorates Healing Delay in Diabetic Ulcer by Inhibiting PARP1 Activation and Regulating Macrophage Polarization.Current pharmaceutical design · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Psycho-oncology examines the psychological dimensions of cancer, particularly depression and anxiety, which are more prevalent among cancer patients than the general population. The coexistence of depression and cancer can exacerbate cancer progression, increase healthcare costs, and diminish patients' quality of life. Poly(ADP-ribose) polymerase-1 (PARP-1), an enzyme critical for DNA damage repair, is overexpressed in various tumors and associated with tumor progression. Emerging evidence suggests that PARP inhibitors may improve depression, highlighting PARP-1 as a potential therapeutic target for cancer-depression comorbidity. This review explores the role of PARP-1 in the mechanisms underlying cancer-depression comorbidity and its therapeutic potential. Methods: We conducted a systematic search of PubMed, Web of Science, and Cochrane Library from January 1, 1994 to June 1, 2025, using keywords such as "PARP-1", "cancer", "depression", "cancer-related depression", and "co-morbid depression". We prioritized preclinical studies and clinical trials to synthesize mechanistic and therapeutic evidence, including English-language original research and relevant review articles selected through a three-stage review process. Key Content and Findings: PARP-1 plays a central role in DNA repair, oxidative stress, and immune regulation, linking tumor progression and depressive symptoms. PARP inhibitors have shown therapeutic potential in both tumor treatment and depression management individually, but their combined effects in addressing tumor-depression comorbidity remain underexplored. Current evidence suggests that PARP-1 inhibition may modulate shared pathways such as oxidative stress and inflammation, offering a novel strategy for treating this comorbidity. Additionally, preliminary clinical trials and preclinical studies highlight the feasibility and safety of PARP inhibitors in dual targeting. Conclusions: PARP-1 is intricately linked to multiple pathways in cancer-depression comorbidity, including inflammation, oxidative stress, DNA damage, and innate immune activation. While PARP-1-related research and clinical applications of PARP inhibitors primarily focus on cancer, their role in depression-related conditions is understudied. As research on cancer-depression comorbidity advances, PARP-1-centered mechanistic and therapeutic studies are poised to yield significant progress.
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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.