Evidence map›Paper›PMID 42763661›Full record

ReviewInternational journal of women's health2026

The 5-Lipoxygenase Pathway in Ovarian Cancer: Mechanisms of Metastasis, Chemoresistance, and Translational Targeting.

Mingjun Li, Xinyu Zhu, Lin Gan, Haixia Jiang

Abstract readReview
In one paragraph

Review in International journal of women's health, 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

4 authors.

Mingjun LiDepartment of Gynecology II, Affiliated Hospital of Chifeng University, Chifeng, Inner Mongolia, People's Republic of China.
Xinyu ZhuDepartment of Gynecology, the Beijing Corps Hospital of the Chinese PAP, Beijing, 100027, People's Republic of China.
Lin GanDepartment of Gastrointestinal Surgery, Chongqing University Fuling Hospital, Chongqing, People's Republic of China.
Haixia JiangDepartment of Gynecology II, Affiliated Hospital of Chifeng University, Chifeng, Inner Mongolia, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer remains one of the most lethal gynecologic malignancies, characterized by early peritoneal dissemination, extensive microenvironmental remodeling, and frequent emergence of chemoresistance. Beyond genetic alterations, dysregulated lipid mediator signaling represents a regulatory layer that links inflammation, invasion, immune evasion, and cellular stress adaptation. The 5-lipoxygenase (5-LOX, encoded by ALOX5) pathway converts arachidonic acid into bioactive leukotrienes through coordinated activity with 5-LOX-activating protein (FLAP, encoded by ALOX5AP), thereby activating G protein-coupled receptors, including BLT1, BLT2, and cysteinyl leukotriene receptors. This narrative review synthesizes preclinical, translational, and clinical-association evidence for 5-LOX signaling in ovarian cancer. Particular attention is given to BLT2-driven invasion and chemoresistance, hypoxia-induced leukotriene production, macrophage recruitment, ALOX5AP-associated immune suppression, and biomarker-guided therapeutic development. The available evidence supports the 5-LOX axis as a biologically relevant but still clinically immature target. Future development should prioritize compartment-resolved pathway mapping, functional validation in patient-derived models and immune-competent experimental systems, and rational combination strategies rather than unselected monotherapy.

Indexed as

5-lipoxygenasechemoresistanceovarian cancertranslational targeting

Identifiers

PMID42763661
PMCPMC13589526

What OpenQuestion holds

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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.