Evidence map›Paper›PMID 41347223›Full record

ReviewIranian journal of pharmaceutical research : IJPR

Therapeutic Applications and Target Strategies of Antibody-Drug Conjugates in Ovarian Cancer.

Qiming Liu, Runji Zhou, Taiqi He, Yonghong Zhao, Mei Yang

Abstract readReview
In one paragraph

Review in Iranian journal of pharmaceutical research : IJPR. 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.

Qiming LiuSchool of Basic Medicine, Southwest Medical University, Luzhou, China.
Runji ZhouSchool of Basic Medicine, Southwest Medical University, Luzhou, China.
Taiqi HeDepartment of Clinical Medicine, Xinjiang Medical University, Urumqi, China.
Yonghong ZhaoDepartment of Gynecology and Obstetrics, Santai County People's Hospital, Mianyang, China.
Mei YangDepartment of Gynecology and Obstetrics, Santai County People's Hospital, Mianyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Ovarian cancer remains a significant global health concern, characterized by limited therapeutic options and high mortality rates, primarily due to late-stage diagnosis and resistance to conventional therapies. Antibody-drug conjugates (ADCs) represent a promising targeted therapeutic approach for this malignancy. Evidence Acquisition: A comprehensive literature search was conducted using PubMed/MEDLINE, Scopus, Web of Science, and Google Scholar databases. Studies were selected based on their relevance to the development of ADCs, as well as their preclinical and clinical evaluation in ovarian cancer, resistance mechanisms, and toxicity profiles. Results: This review summarizes a range of ADCs targeting tumor-associated antigens in ovarian cancer, including mirvetuximab soravtansine (MIRV), trastuzumab deruxtecan (T-DXd), datopotamab deruxtecan (Dato-DXd), sacituzumab tirumotecan (SKB-264), PF-06664178, anetumab ravtansine (BAY 94-9343), BMS-986148, DMOT4039A, RC88, lifastuzumab vedotin (DNIB0600A), upifitamab rilsodotin (ABBV-181), ZW220, DMUC4064A, and sofituzumab vedotin (DMUC5754A). Resistance mechanisms, toxicity profiles, and the potential for combination therapies and next-generation ADC designs are also discussed. Conclusions: The ADCs hold significant potential to reshape the treatment landscape for ovarian cancer by providing targeted therapeutic options. Further research is required to optimize patient selection, address resistance mechanisms, and improve safety profiles.

Indexed as

Antibody-Drug Conjugates (ADCs)Clinical TrialsOvarian CancerTargeted Therapy

Identifiers

PMID41347223
PMCPMC12673879

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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.