Evidence map›Paper›PMID 40844552›Full record

ReviewJournal of cancer research and clinical oncology2025

The assessment of breast cancer biomarkers in diagnosis, prognosis and treatment monitoring: integrated analysis.

Patrycja Królewska-Daszczyńska, Aleksandra Englisz, Maria-Laura Morawiec, Joanna Miśkiewicz, Maciej Gołębski, Aleksandra Mielczarek-Palacz

Abstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Patrycja Królewska-DaszczyńskaDepartment of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055, Katowice, Poland. pdaszczynska@sum.edu.pl.
Aleksandra EngliszDepartment of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055, Katowice, Poland.
Maria-Laura MorawiecDepartment of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055, Katowice, Poland.
Joanna MiśkiewiczDepartment of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055, Katowice, Poland.
Maciej GołębskiDepartment of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055, Katowice, Poland.
Aleksandra Mielczarek-PalaczDepartment of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055, Katowice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease, which is still a challenge for modern cancer diagnostics. Despite significant progress in diagnosis, monitoring and treatment of breast cancer, it remains the leading cause of cancer-related death in women. Effective screening methods, which enable early diagnosis of the disease and rapid personalised treatment are crucial to improving survival of women with breast cancer. In recent years, increasing attention has been paid to the clinical utility of circulating biomarkers, such as proteins, autoantibodies, miRNAs, circRNAs, ctDNA or CTCs, which have the potential to supplement traditional methods of BC diagnosis. Despite much research, no sufficiently sensitive and minimally invasive marker has been identified to aid in the early diagnosis, monitoring of disease progression and response to therapy in women with breast cancer. Combinatorial analysis of circulating biomarkers is novel and promising approach, which may overcome the limitations of single biomarker assays.

Indexed as

Biomarkers, TumorBreast NeoplasmsEarly Detection of CancerFemaleHumansNeoplastic Cells, CirculatingPrognosisBiomarkers, TumorBiomarkersBiomarkers combinationBreast cancerMolecular markersPersonalised treatment

Identifiers

PMID40844552
PMCPMC12373631

What OpenQuestion holds

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LicenceCC BY
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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.