Evidence map›Paper›PMID 42738392›Full record

ReviewCancers2026

Kinesins in Cancer Drug Resistance: Mechanisms, Therapeutic Targeting, and Translational Potential.

Yayun Tan, Ying Feng, Yueping Jiang, Meimei Li, Zhizhong Xie

Abstract readReview
In one paragraph

Review in Cancers, 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.

Yayun TanSchool of Pharmaceutical Science, University of South China, Hengyang 421001, China.
Ying FengDepartment of Clinical Pharmacy, Hunan University of Medicine General Hospital, Hunan University of Medicine, Huaihua 418000, China.
Yueping JiangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha 410008, China.
Meimei LiDepartment of Clinical Pharmacy, Hunan University of Medicine General Hospital, Hunan University of Medicine, Huaihua 418000, China.
Zhizhong XieSchool of Pharmaceutical Science, University of South China, Hengyang 421001, China.ORCID 0000-0003-3365-0379

Funding

Health Research Project of Hunan Provincial Health Commission 20254740Research Foundation of Education Bureau of Hunan Province 25B0968
6 · The paper itself

Abstract

Drug resistance in cancer remains a major barrier to durable therapeutic benefits and limits the effectiveness of chemotherapy, targeted therapy, and combination treatment in multiple malignancies. Increasing evidence indicates that specific kinesin superfamily proteins contribute to tumor adaptation and therapeutic response in a context-dependent manner through their roles in mitotic regulation, intracellular transport, and stress-response pathways. Aberrant expression of multiple kinesin family members has been documented across diverse cancers and is frequently associated with aggressive clinicopathological features, poor prognosis, and resistance to treatment. However, expression alterations alone do not establish functional dependency, and mechanistic validation is required to distinguish true resistance drivers from adaptive tumor states. In this review, we summarize the classification, biological functions, and abnormal expression patterns of kinesins in cancer; discuss the major mechanisms through which they contribute to drug resistance; and examine strategies for targeting kinesins, including natural-product-derived direct inhibitors, small-molecule inhibitor development, rational combination approaches, and structure-guided and computational optimization strategies. We also evaluate the biomarker potential of kinesin dysregulation and the value of advanced preclinical models for mechanistic and translational investigations. Finally, we highlight the major challenges that hinder clinical translation, including target specificity, compensatory resistance, insufficient biomarker validation, and tumor heterogeneity. Future progress will require integration of functional genomics, multiomics profiling, and mechanism-guided therapeutic strategies to determine when kinesin inhibition represents a clinically actionable approach for resistant malignancies.

Indexed as

biomarker potentialcancer drug resistancekinesinsmitotic kinesinspreclinical modelstherapeutic targeting

Identifiers

PMID42738392
PMCPMC13564715

What OpenQuestion holds

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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.