Evidence map›Paper›PMID 42177699›Full record

ReviewDiscover oncology2026

Translational prioritization of strategies to overcome poly ADP-ribose polymerase inhibitor resistance in breast cancer based on systematic review of preclinical evidence.

Kezhen Shen, Lei Cai

Abstract readReview
In one paragraph

Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kezhen ShenDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, China.
Lei CaiDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, China. cailei18@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResistance to poly ADP-ribose polymerase (PARP) inhibitors has emerged as a major obstacle to durable clinical benefit in breast cancer. While multiple preclinical strategies have been proposed, there is a lack of translational frameworks that prioritize interventions based on mechanistic robustness, biomarker relevance, and strength of evidence.

methodsWe performed a systematic and evidence-informed synthesis of 22 preclinical studies investigating therapeutic approaches to overcome PARP inhibitor resistance. Studies were evaluated across experimental models, mechanistic endpoints, and therapeutic outcomes. Risk of bias was assessed using the SYRCLE and ROBINS-I tools, and the consistency and certainty of evidence were appraised using the GRADE framework to support translational prioritization.

resultsEpigenetic targeting via EZH2 inhibition and immune microenvironment modulation through STING pathway activation consistently demonstrated high-quality evidence for tumor suppression, survival benefit, and immunologic activation in BRCA1-mutant models. In contrast, strategies aimed at restoring homologous recombination exhibited strong in vitro synergy but limited in vivo translatability, underscoring pharmacokinetic and model-dependent constraints.

conclusionsThis review advances an evidence-based translational prioritization framework to guide the clinical development of combination strategies for PARP inhibitor-resistant breast cancer. We identify critical gaps in biomarker integration, standardized resistance modeling-particularly in BRCA wild-type disease-and dynamic monitoring of resistance evolution, and propose key directions for future preclinical and early-phase clinical research.

Indexed as

Breast cancerDrug resistanceEvidence gradingPoly ADP-ribose polymerase inhibitorPreclinical strategies

Identifiers

PMID42177699
PMCPMC13376104

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Registered trials

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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.