Evidence map›Paper›PMID 40257522›Full record

ReviewMolecular biology reports2025

Role of signaling pathways in endometrial cancer.

Nikita Balhara, Ritu Yadav, Meenakshi B Chauhan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

3 authors.

Nikita BalharaDepartment of Genetics, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.ORCID http://orcid.org/0009-0004-8407-242X
Ritu YadavDepartment of Genetics, Maharshi Dayanand University, Rohtak, Haryana, 124001, India. yritu3757@gmail.com.ORCID http://orcid.org/0000-0001-7686-2369
Meenakshi B ChauhanDepartment of Obstetrics and Gynecology, PGIMS, Rohtak, Haryana, 124001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (EC) is a prevalent gynecological malignancy with a complex molecular landscape, contributing to significant global morbidity and mortality. Dysregulated signaling pathways such as PI3K/AKT/mTOR and RAS/RAF/MEK drive EC progression by promoting uncontrolled cell proliferation, survival, angiogenesis, and metastasis. Mutations in genes like PTEN and PIK3CA further underpin tumor aggressiveness. Molecular alterations in these pathways not only serve as biomarkers for prognosis but also guide the formulation of targeted therapies, such as mTOR inhibitors and anti-angiogenic agents. While such therapies show promise, optimizing their efficacy and minimizing adverse effects requires further research. A comprehensive approach integrating early detection (e.g., addressing postmenopausal bleeding), preventive strategies (e.g., managing obesity), increasing diagnostic sensitivity (e.g., transvaginal ultrasound) and advanced molecularly tailored treatments (e.g., AI & ML) is critical to reducing the burden of this disease. By targeting key signaling pathways, leveraging AI-driven methodologies, and addressing treatment resistance, we can enhance patient outcomes, also mitigate the rising global impact of EC.

Indexed as

Endometrial NeoplasmsSignal TransductionFemaleHumansMolecular Targeted TherapyMutationPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPTEN PhosphohydrolaseTOR Serine-Threonine KinasesPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPTEN PhosphohydrolasePTEN protein, humanTOR Serine-Threonine KinasesBiomarkerEndometrial neoplasmPrognosisSignal transductionTargeted therapyTherapeutics

Identifiers

What OpenQuestion holds

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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 OpenQuestion graph.