ReviewCancer cell international2025
Molecular pathways in reproductive cancers: a focus on prostate and ovarian cancer.
Review in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Computational Design Of A Peptide Candidate Targeting NOTCH1 And PI3K/AKT Signaling Pathways In Cancer: A Coarse-Grained Molecular Dynamics Simulation Study.Cell biochemistry and biophysics · 2026Article
- Translational Perspectives on Cell-Free Mitochondrial DNA as a Biomarker in Gynecological Cancers: Current Limitations and Future Research Directions.Biomolecules · 2026Review
- Mendelian randomization study of GLP-1R effects on ovarian cancer subtypes mediated by metabolic factors.Communications medicine · 2026Article
- From Inflammation to Malignancy: The Link Between Endometriosis and Gynecological Cancers.International journal of molecular sciences · 2025Review
- PTEN/PKM2/ERα-Driven Glyoxalase 1 Overexpression Sustains PC3 Prostate Cancer Cell Growth Through MG-H1/RAGE Pathway Desensitization Leading to HAntioxidants (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reproductive cancers, including prostate and ovarian cancer, are highly prevalent worldwide and pose significant health challenges. The molecular underpinnings of these cancers are complex and involve dysregulation of various cellular pathways. Understanding these pathways is crucial for developing effective therapeutic strategies. This review aims to provide an overview of the molecular pathways implicated in prostate and ovarian cancers, highlighting key genetic alterations, signaling cascades, and epigenetic modifications. A comprehensive literature search was conducted using databases such as PubMed, Web of Science, and Google Scholar. Articles focusing on molecular pathways in prostate and ovarian cancer were reviewed and analyzed. In prostate cancer, recurrent mutations in genes like AR, TP53, and PTEN drive tumor growth and progression. Androgen signaling plays a significant role, with alterations in the AR pathway contributing to resistance to antiandrogen therapies. In ovarian cancer, high-grade serous carcinomas are characterized by mutations in TP53, BRCA1/2, and homologous recombination repair genes. PI3K and MAPK pathways are frequently activated, promoting cell proliferation and survival. Epigenetic alterations, including DNA methylation and histone modifications, are also prevalent in both cancer types. The molecular pathways involved in prostate and ovarian cancer are diverse and complex. Targeting these pathways with precision medicine approaches holds promise for improving patient outcomes. Further research is needed to elucidate the mechanisms of resistance and identify novel therapeutic vulnerabilities.
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Registered trials
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.