Evidence map›Paper›PMID 40597870›Full record

ArticleBMC cancer2025

Scoping review: (Bio)markers for the prognostication of breast cancer recurrence.

Rigon Sallauka, Matej Horvat, Maja Ravnik, Hatem Rashwan, Umut Arioz, Izidor Mlakar

Abstract readScoping Review
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Rigon SallaukaHUMADEX Group, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia. rigon.sallauka@um.si.
Matej HorvatOncology Department, University Medical Center Maribor, Maribor, Slovenia.
Maja RavnikOncology Department, University Medical Center Maribor, Maribor, Slovenia.
Hatem RashwanDepartment of Computer Engineering and Mathematics (DEIM), Universitat Rovira I Virgili, Tarragona, Spain.
Umut AriozHUMADEX Group, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia.
Izidor MlakarHUMADEX Group, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia.

Funding

HORIZON EUROPE Marie Sklodowska-Curie Actions 101073222
6 · The paper itself

Abstract

backgroundThe aim of this study is to gain a comprehensive understanding of the latest advancements in breast cancer recurrence markers, with the aim of identifying minimally invasive or minimally intrusive markers as necessary approach for screening for breast cancer recurrence.

methodsWe followed PRISMA guidelines, systematically searching Web of Science, Scopus, and PubMed from 2010 to December 2023 for secondary papers on breast cancer markers of recurrence. Keywords used to search the databases include but are not limited to: "breast cancer recurrence", "markers", "radiology", "pathology", "clinical features". Studies focusing solely on outcomes after recurrence, such as survival or treatment response, were excluded to ensure the review targeted markers relevant to early prediction. The search was limited to English language. Selected papers underwent screening process according to inclusion/exclusion criteria, and data extraction included publication details, markers, marker modality, among others.

resultsThe number of papers considered for this review was 1,138. After two phases of screening process, a total number of 28 reviews were included in this scoping review. We have categorized markers into radiological, clinical, and histopathological types. Among the most relevant clinical markers correlated with breast cancer (BC) recurrence are clinical stage, carcinoembryogenic antigen (CEA), and cancer antigen 15.3 (CA 15.3). We have also identified that the following radiological markers are the most mentioned markers associated with recurrence: mammographic density (MD), tumor heterogeneity, most enhancing tumor volume (METV), radiomic features, and more. Furthermore, we identified nuclear grade, microenvironment heterogeneity, estrogen receptor (ER), androgen receptor (AR), human epidermal growth factor receptor 2 (HER2), Ki-67 antigen, as the most significant histopathological markers of breast cancer recurrence.

conclusionThis review identified promising markers for breast cancer recurrence in three categories: clinical, radiological and histopathological. General practitioners can leverage these insights for enhanced pre-screening, aiding in earlier detection and intervention, thus improving patient outcomes. Unclear cut-off values and disagreement on their use remain obstacles.

Indexed as

Biomarkers, TumorBreast NeoplasmsNeoplasm Recurrence, LocalCarcinoembryonic AntigenFemaleHumansPrognosisBiomarkers, TumorCarcinoembryonic AntigenBreast cancer recurrenceClinical markersHistopathological markersMinimally invasive markersPrognosticRadiological markersScoping review

Identifiers

PMID40597870
PMCPMC12211913

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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.