Evidence map›Paper›PMID 41052914›Full record

ReviewAnnals of medicine2025

Next-generation sequencing in breast cancer: current clinical applications and future directions.

Nur Fatihah Mohd Zuhdi, Alaa Siddig, Siti Norasikin Mohd Nafi, Md Salzihan Md Salleh, Maya Mazuwin Yahya, Wan Zainira Wan Zain, Tengku Ahmad Damitri Al-Astani Tengku Din, Wan Faiziah Wan Abdul Rahman

Abstract readReview
In one paragraph

Review in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
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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

8 authors.

Nur Fatihah Mohd ZuhdiDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0009-0005-2659-7639
Alaa SiddigDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0002-8533-6472
Siti Norasikin Mohd NafiDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0002-0642-0909
Md Salzihan Md SallehDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0001-6691-4962
Maya Mazuwin YahyaDepartment of Surgery, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0002-3994-6608
Wan Zainira Wan ZainDepartment of Surgery, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0001-8019-6063
Tengku Ahmad Damitri Al-Astani Tengku DinBreast Cancer Awareness and Research Unit, Hospital Pakar Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0003-3265-1679
Wan Faiziah Wan Abdul RahmanDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID 0000-0001-9280-4257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer is a heterogeneous disease that claims 670,000 lives by 2022. Omic technologies, particularly next generation sequencing (NGS) offers promising avenues for precision medicine. American Society of Clinical Oncology (ASCO) outlines genomic testing's utility, emphasizing prognostic and diagnostic potential.

objectivesThis review succinctly explores NGS's evolution and clinical applications of NGS in breast cancer, thereby guiding future research to enhance patient care.

methodsComprehensive literature searches were conducted using databases such as PubMed, Google Scholar, and ResearchGate, focusing on keywords including breast cancer,

resultsPrevious studies have explored the evolution of NGS technology and its clinical applications in breast cancer, including genomic and transcriptomic characterization, treatment guidance, and resistance prediction. Molecular profiling of challenging entities such as early-onset breast cancer and HER-2 low tumours was summarized, with key findings highlighted. This review also discusses emerging technologies, including circulating DNA and single-cell sequencing, as promising avenues for discovery.

conclusionNGS has revealed the genomic and transcriptomic diversity of breast cancer, identifying actionable alterations associated with chemotherapy response and resistance to therapies such as trastuzumab, TKIs, and CDK4/6 inhibitors. Circulating tumour DNA (ctDNA) shows potential for diagnosis, prediction, prognosis, and monitoring, despite tumour heterogeneity. Single-cell analysis enables exploration of individual cell transcriptomes, though high costs and low throughput remain barriers to widespread adoption. HER2-low tumours continue to pose significant research challenges.

Indexed as

Breast NeoplasmsHigh-Throughput Nucleotide SequencingBiomarkers, TumorCirculating Tumor DNAErb-b2 Receptor Tyrosine KinasesFemaleGenomicsHumansPrecision MedicinePrognosisSingle-Cell AnalysisBiomarkers, TumorCirculating Tumor DNAERBB2 protein, humanErb-b2 Receptor Tyrosine Kinasesbreast cancercirculating tumour DNAHER-2 low breast cancerNext generation sequencingsingle cell RNA sequencing

Identifiers

PMID41052914
PMCPMC12502106

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Registered trials

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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.