Evidence map›Paper›PMID 41256402›Full record

ArticlebioRxiv : the preprint server for biology2025

Statistical and Evolutionary Analysis of Sequenced DNA from Breast Cancer FFPE Specimens.

Monika K Kurpas, Paweł Kuś, Roman Jaksik, Khanh N Dinh, Agnieszka Adamczyk, Kaja Majchrzyk, Marek Kimmel

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

7 authors.

Monika K KurpasDepartment of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland.ORCID 0000-0001-7635-8437
Paweł KuśDepartment of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland.
Roman JaksikDepartment of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland.ORCID 0000-0003-1866-6380
Khanh N DinhIrving Institute for Cancer Dynamics and Department of Statistics, Columbia University, New York, NY, USA.ORCID 0000-0002-0010-4251
Agnieszka AdamczykDepartment of Tumor Pathology, Maria Sklodowska-Curie National Research Institute of Oncology, Krakow Branch, Krakow, Poland.
Kaja MajchrzykDepartment of Tumor Pathology, Maria Sklodowska-Curie National Research Institute of Oncology, Krakow Branch, Krakow, Poland.
Marek KimmelDepartments of Statistics and Bioengineering, and Ken Kennedy Institute, Rice University, Houston, TX, USA.

Funding

Statistical methods for genomic analysis of heterogeneous tumorsR01CA268380 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Wenyi Wang · 2022 to 2026
$2.4M
NCI NIH HHS R01 CA268380
6 · The paper itself

Abstract

Background: Despite the introduction of instant freezing of tumor specimens, formalin-fixed paraffin-embedded (FFPE) blocks of tissue are still commonplace in clinical practice and constitute an important reference for genetic epidemiology of cancer. We carried out a study of a collection of breast tumors paired with lymph-node metastases and analyzed using advanced computational methods, to determine how much information can be obtained from mid-depth whole-exome bulk DNA sequencing. Methods: We gathered 15 paired (primary and an involved lymph node) excised breast tumors of different molecular subtypes (HER2+, triple negative, luminal A and luminal B HER2-), from the National Research Institute of Oncology, Krakow (Poland) Branch. FFPE specimens contained typical artifacts, manifesting themselves in spurious DNA variant calls. We used several bioinformatics tools to remove the artifacts and analyzed the exomic data, using both commercial and original in-house computational techniques. Results: We used several of recent bioinformatics tools to remove the FFPE artifacts and found a serious dispersal of outcomes. After calibration, a series of analyses was performed, including copy number study, resulting in ploidy levels ranging from 1 to 5 (average of 2.5). Positive association was found between the frequency of oncogenes relative to tumor suppressor genes and DNA copy number. In addition, we carried out analyses of the clonal structure of the data using original computational methods based on evolutionary modeling. Interesting results concerning clonal structure, early tumor expansion, and interdependence of the primary tumor and lymph node metastases have been obtained. Conclusions: Despite the imperfections of the FFPE data, many important features of molecular evolution of tumor DNA can be recovered from routine clinical samples.

Indexed as

BRCAcancerFFPEmolecular evolution

Identifiers

PMID41256402
PMCPMC12622042

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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.