Evidence map›Paper›PMID 42180850›Full record

ReviewTranslational cancer research2026

CRISPR technology in ovarian cancer research: advances from gene editing to precision diagnosis and therapy.

Yuanling Zhang, Yinhua Tan, Yuanyuan Du, Rui Xiang, Yi Liu

Abstract readReview
In one paragraph

Review in Translational cancer 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.

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

5 authors.

Yuanling ZhangHospital of Chengdu University of Traditional Chinese Medicine, College of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yinhua TanLaboratory of Precision Therapeutics, Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Yuanyuan DuHospital of Chengdu University of Traditional Chinese Medicine, College of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Rui XiangHospital of Chengdu University of Traditional Chinese Medicine, College of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yi LiuHospital of Chengdu University of Traditional Chinese Medicine, College of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) remains a leading cause of gynecological cancer mortality, driven by pronounced molecular heterogeneity, late diagnosis, and frequent acquisition of therapeutic resistance. The advent of CRISPR-Cas9 genome-editing technology has fundamentally transformed OC research by enabling precise, scalable, and unbiased interrogation of genetic drivers underlying tumor initiation, metastatic progression, drug resistance, and immune evasion. This review systematically summarizes the evolutionary trajectory of CRISPR-Cas9 platforms, from the discovery of the prokaryotic adaptive immune system to the development of high-fidelity nucleases, base editors, and prime editing systems. We then critically discuss the diversity of CRISPR-based library screening strategies, including CRISPR knockout (CRISPRko), CRISPR activation (CRISPRa), CRISPR interference (CRISPRi), and base editing libraries, highlighting their respective advantages, limitations, and technical considerations for high-throughput functional genomics. A major focus is placed on the broad applications of these tools in OC research, such as the systematic discovery of novel oncogenic drivers and metastatic mediators, the functional dissection of chemotherapy and PARP inhibitor resistance mechanisms, the construction of genetically defined patient-derived organoid and in vivo models, and the development of CRISPR-based diagnostic platforms for early detection and liquid biopsy monitoring. Furthermore, we provide an in-depth overview of emerging delivery systems for OC, including engineered viral vectors, non‑viral nanoparticles, physical methods, and exosome‑based platforms, with an emphasis on their adaptation to the unique peritoneal microenvironment. Finally, we highlight key translational challenges that currently constrain clinical implementation, such as off‑target editing risks, tumor heterogeneity, immune barriers, and ethical considerations, and propose future directions to overcome these hurdles. Collectively, the integration of CRISPR‑based functional screening with multi‑omics profiling, single‑cell technologies, and precision medicine frameworks offers a powerful paradigm for advancing personalized therapeutic strategies and improving long‑term outcomes for patients with ovarian cancer.

Indexed as

applicationClustered regularly interspaced short palindromic repeats (CRISPR)delivery systemgene editingovarian cancer (OC)

Identifiers

PMID42180850
PMCPMC13190679

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.