Evidence map›Paper›PMID 41354809›Full record

ReviewJournal of ovarian research2025

Advances in ovarian cancer: biological insights, therapeutic innovations, and future perspectives.

Xiao Ma, Linzhuo Qu, Qunying Wu, Qingqing Yu, Zhenhua Lin, Yang Yang, Xianchun Zhou

Abstract readReview
In one paragraph

Review in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Xiao Ma *Central Laboratory, Yanbian University Hospital, Ju Zi Road No.1327, Yanji, 133000, PR China.
Linzhuo Qu *Central Laboratory, Yanbian University Hospital, Ju Zi Road No.1327, Yanji, 133000, PR China.
Qunying WuPathology Department, Yanbian maternal and Child Health Hospital, Yanji, 133000, PR China.
Qingqing YuNuclear Medicine Department, Jincheng People's Hospital, Jincheng, 048000, PR China.
Zhenhua LinCentral Laboratory, Yanbian University Hospital, Ju Zi Road No.1327, Yanji, 133000, PR China.
Yang YangCentral Laboratory, Yanbian University Hospital, Ju Zi Road No.1327, Yanji, 133000, PR China. yangyang@ybu.edu.cn.
Xianchun ZhouCentral Laboratory, Yanbian University Hospital, Ju Zi Road No.1327, Yanji, 133000, PR China. xczhou@ybu.edu.cn.

Funding

the Health Commission of Jilin Province 2024B001the National Natural Science Foundation of China No.82160552the transverse project 202501-202912
6 · The paper itself

Abstract

Ovarian cancer (OC) remains a highly lethal gynecologic malignancy characterized by substantial molecular heterogeneity and diagnostic challenges. Although many reviews examine specific aspects of OC biology or treatment, few attempt to connect recent findings into a broader and coherent picture. This review provides an integrated and forward-looking synthesis of emerging mechanisms and therapeutic trends in OC, understanding OC progression and therapeutic resistance. Unique contributions of this review include providing a unified interpretation of emerging multi-omics evidence that reshapes the biological understanding of individual OC histotypes, delineating key metabolic dependencies such as glutamine addiction, aberrant lipid remodeling, glycolytic plasticity and purine pathway rewiring as potential therapeutic entry points, and elucidating how ascites-driven immune dysfunction remodels antitumor immunity to ultimately influence the effectiveness of cancer vaccines, immune checkpoint blockade and adoptive cell transfer therapies. Additionally, the review articulates underexplored therapeutic intersections, including nanotechnology-enhanced immunotherapy, gene-editing nanocarriers, and microbiome-mediated modulation of drug sensitivity and immune activation. By integrating these diverse yet interconnected domains, this review proposes updated conceptual models and cross-therapeutic strategies aimed at overcoming chemoresistance and advancing precision, personalized treatment paradigms in OC.

Indexed as

Ovarian NeoplasmsFemaleHumansImmunotherapyCancer biomarkersImmunotherapyMetabolic profilingOvarian cancerPrecision oncology

Identifiers

PMID41354809
PMCPMC12829294

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.