Evidence map›Paper›PMID 41049353›Full record

ReviewOncology reviews2025

A comprehensive framework for the management of hereditary breast cancers: guiding light in precision medicine.

Samar Ekram, Mariam M Al Eissa

Abstract readReview
In one paragraph

Review in Oncology reviews, 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. Review
  3. 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

2 authors.

Samar Ekram *Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
Mariam M Al Eissa *Department of Medicine, Medical School, Alfaisal University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The landscape of oncology varies across countries and regions, and in consanguineous populations such as Saudi Arabia, the clinical management of hereditary cancers poses a distinct challenge. Hereditary breast cancer (HBC), which is a significant public health concern, accounts for approximately 5%-10% of all breast cancer cases. High-risk genes, including BRCA1, BRCA2, PALB2, TP53 and PTEN, with germline pathogenic or likely pathogenic variants (PVs/LPVs), substantially increase the risk of breast cancer and other malignancies. Method: In this review, we explore the guidelines and the literature to present a comprehensive investigation of the genetic landscape of hereditary cancer syndromes, provide pivotal insights into disease mechanisms and inform precise clinical intervention. Given their marked therapeutic heterogeneity, a tailored precision medicine approach, rather than a uniform strategy of a one-size-fits-all model, is necessary. For high-risk breast cancer patients in Saudi Arabia, the detection rates of PVs/LPVs have reached 24%, underscoring the relevance of targeted interventions. Results: A comprehensive framework for the management of HBCs is outlined, which focuses on consanguineous populations and adapts global guidelines. We highlight the critical roles of genetic testing in guiding personalised surveillance strategies, especially for regions where data remain limited. Conclusion: Revealing the genetic variation associated with HBCs mitigates the burden on healthcare providers and the long-term effects of HBCs on affected individuals and their families. Moreover, it is a step ahead towards personalised prevention, treatment and intervention. This knowledge will empower research and innovation in biotechnology.

Indexed as

cancer preventiongenetic testingHBChereditary breast cancerprecision medicineSaudi Arabia

Identifiers

PMID41049353
PMCPMC12492225

What Socratic 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 Socratic graph.