Evidence map›Paper›PMID 42072806›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Advances in Breast Cancer Diagnostics: From Screening to Precision Medicine.

Klaudia Kubiak, Joanna Bidzińska, Marta Bednarek, Edyta Szurowska

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 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.

Klaudia KubiakDepartment of Pharmaceutical Pathophysiology, Medical University of Gdansk, 80-210 Gdańsk, Poland.ORCID 0000-0001-9696-504X
Joanna BidzińskaSecond Department of Radiology, Medical University of Gdańsk, 80-210 Gdańsk, Poland.ORCID 0000-0003-3890-5473
Marta BednarekSecond Department of Radiology, Medical University of Gdańsk, 80-210 Gdańsk, Poland.ORCID 0009-0007-9466-6602
Edyta SzurowskaSecond Department of Radiology, Medical University of Gdańsk, 80-210 Gdańsk, Poland.ORCID 0000-0002-7042-4381

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer remains the most frequently diagnosed malignancy in women worldwide, accounting for approximately 2.3 million new cases and 670,000 deaths annually. The diagnostic landscape has undergone a paradigm shift over the past two decades, evolving from morphology-based classification toward molecularly informed, precision-guided strategies. Early and accurate diagnosis is fundamental to improving outcomes; advances in imaging technology, including digital breast tomosynthesis (DBT), contrast-enhanced mammography (CEM), and abbreviated magnetic resonance imaging (MRI), have improved sensitivity and specificity in diverse patient populations. Simultaneously, the integration of artificial intelligence (AI) and radiomics into screening workflows offers unprecedented potential for risk stratification and a reduction in false-positives. At the pathological level, multi-gene expression profiling assays such as Oncotype DX, MammaPrint, Prosigna, and EndoPredict have refined prognostic classification and guide adjuvant chemotherapy decisions in early-stage hormone receptor-positive disease. The emergence of liquid biopsy, circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and exosomal biomarkers provides minimally invasive tools for real-time monitoring of response, residual disease, and the evolution of resistance mechanisms. Precision diagnostics now encompass next-generation sequencing (NGS)-based comprehensive genomic profiling, enabling identification of actionable alterations such as PIK3CA mutations, HER2 amplification, BRCA1/2 pathogenic variants, and NTRK fusions, each linked to approved therapeutic agents. The purpose of this review is to provide a comprehensive synthesis of current and emerging diagnostic modalities in breast cancer-from population-level screening to individualized molecular profiling-and to examine how integrative, multimodal diagnostic platforms are reshaping clinical decision-making in the era of precision medicine.

Indexed as

artificial intelligencebreast cancerbreast imagingcirculating tumor DNAgenomic profilingliquid biopsymolecular diagnosticsnext-generation sequencingprecision medicinescreening

Identifiers

PMID42072806
PMCPMC13115084

What OpenQuestion 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 OpenQuestion graph.