Evidence map›Paper›PMID 42249226›Full record

ReviewDiscover oncology2026

Exploring the functional role of XIST in breast cancer from mechanisms to clinical implications.

Nada I Zyada, Mahmoud M Kamel, Emad M Elzayat, Abdel Hady A Abdel Wahab

Abstract readReview
In one paragraph

Review in Discover oncology, 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.

Nada I ZyadaBiotechnology Department, Faculty of Science, Cairo University, Giza, Egypt.
Mahmoud M KamelClinical Pathology Department, National Cancer Institute, Cairo University, Cairo, Egypt.
Emad M ElzayatBiotechnology Department, Faculty of Science, Cairo University, Giza, Egypt.
Abdel Hady A Abdel WahabCancer Biology Department, National Cancer Institute, Cairo University, Kasr El-Eini Street Fom El Khalig, Cairo, 11796, Egypt. abdelhady.abdelwahab@nci.cu.edu.eg.ORCID http://orcid.org/0000-0002-5110-2600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have emerged as pivotal regulators in cancer biology, with the X-inactive specific transcript (XIST) playing a particularly significant role in breast cancer development and progression. This review summarizes current insights into XIST's mechanistic roles, highlighting its involvement in intricate regulatory networks through interactions with microRNAs, transcription factors, and key signaling pathways. Furthermore, we explore its significant influence on critical aspects of tumor progression, including chemotherapy resistance, modulation of the tumor microenvironment, and regulation of cancer stem cells. Importantly, emerging evidence indicates that XIST functions are not uniform across breast cancer subtypes; rather, its expression patterns and biological effects appear to be context-dependent, varying between luminal and triple-negative breast cancer (TNBC) categories. While XIST is frequently associated with tumor-promoting activities, certain subtype-specific contexts suggest a more complex regulatory role, underscoring the need for stratified interpretation. By bridging mechanistic insights with clinical applications, we demonstrate XIST's considerable promise as a diagnostic and prognostic biomarker and as a novel therapeutic target. In this review, we demonstrate that targeting XIST may offer a novel and effective therapeutic avenue, contributing to personalized treatment strategies and improved outcomes in breast cancer.

Indexed as

BiomarkerBreast cancerChemotherapy resistanceLong non-coding RNATumor microenvironmentXIST

Identifiers

PMID42249226
PMCPMC13241563

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.