Evidence map›Paper›PMID 42573022›Full record

ReviewJournal of biochemical and molecular toxicology2026

Proteomic Biomarker Discovery in Breast Cancer: Advances, Challenges, and Translational Prospects.

Mahan Hassani, Iman Morshedi, K J Matmurotov, Isanova Shoira Tulkinovna, Abdullaev Makhmudjon Mukhamedovich, Mahdieh Khorsandi, Abdiyev Rasul Ernazar Ugli, Tianyao Yang, Xi Lin

Abstract readReview
In one paragraph

Review in Journal of biochemical and molecular toxicology, 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

9 authors.

Mahan HassaniSchool of Pharmacy, Near East University of North Cyprus, Nicosia, Cyprus.
Iman MorshediFaculty of Pharmacy, Tehran Medical Branch, Islamic Azad University, Tehran, Iran.
K J MatmurotovDotsent of the Department of "General and Pediatric Surgery", Tashkent State Medical University, Tashkent, Uzbekistan.
Isanova Shoira TulkinovnaDepartment of Neurology, Samarkand State Medical University, Samarkand, Uzbekistan.ORCID https://orcid.org/0009-0004-0450-5492
Abdullaev Makhmudjon MukhamedovichDepartment of Mechatronics and Robotics, Faculty of Electronics and Automation, Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan.
Mahdieh KhorsandiDepartment of Biotechnology, Faculty of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Abdiyev Rasul Ernazar UgliDepartment of Mechatronics and Robotics, Faculty of Electronics and Automation, Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan.ORCID https://orcid.org/0000-0001-8445-2175
Tianyao YangDepartment of Thyroid, Breast & Hernia Surgery, Tiantai People's Hospital of Zhejiang Province (Tiantai Branch of Zhejiang Provincial People's Hospital), Taizhou, Zhejiang, China.
Xi LinDepartment of Thyroid, Breast & Hernia Surgery, Tiantai People's Hospital of Zhejiang Province (Tiantai Branch of Zhejiang Provincial People's Hospital), Taizhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer remains a leading cause of cancer-related morbidity and mortality among women worldwide. Despite major progress in genomic classification, molecular pathology, and targeted therapy, the identification of clinically reliable proteomics-derived biomarkers for early detection, prognostic stratification, treatment response prediction, and longitudinal monitoring remains an unresolved translational challenge. Recent studies have applied proteomic profiling to breast cancer tissues and clinically accessible biofluids, including serum, plasma, saliva, nipple aspirate fluid, urine, and extracellular vesicle-enriched fractions, to identify protein signatures with potential diagnostic and therapeutic relevance. Contemporary platforms, including LC-MS/MS, data-independent acquisition mass spectrometry, multiplexed quantitative proteomics, targeted proteomics using multiple reaction monitoring and parallel reaction monitoring, spatial proteomics, and affinity-based high-throughput assays such as Olink and SomaScan, have expanded the analytical depth and clinical scalability of breast cancer biomarker research. However, many candidate biomarkers remain confined to discovery or early verification stages because of limited analytical sensitivity, insufficient specificity, inter-platform variability, small and heterogeneous cohorts, incomplete external validation, and uncertainty regarding clinical utility beyond established pathological markers. This review critically evaluates current proteomic technologies and proteomics-derived biomarker candidates in breast cancer, distinguishes discovery-level findings from clinically validated evidence, and discusses the major methodological, regulatory, and implementation barriers that continue to limit translation into routine oncology practice. Greater emphasis on standardized workflows, targeted verification, multi-center validation, and clinically actionable biomarker panels will be essential for integrating proteomics into precision breast cancer care.

Indexed as

Biomarkers, TumorBreast NeoplasmsNeoplasm ProteinsProteomicsTranslational Research, BiomedicalFemaleHumansBiomarkers, TumorNeoplasm Proteinsbiomarker validationbreast cancerclinical translationmass spectrometryprotein biomarkersproteomics

Identifiers

PMID42573022
PMCPMC13455090

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.