Evidence map›Paper›PMID 39859451›Full record

ArticleInternational journal of molecular sciences2025

Investigation of Exome-Wide Tumor Heterogeneity on Colorectal Tissue-Based Single Cells.

Nikolett Szakállas, Alexandra Kalmár, Barbara Kinga Barták, Zsófia Brigitta Nagy, Gábor Valcz, Tamás Richárd Linkner, Kristóf Róbert Rada, István Takács, Béla Molnár

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Nikolett SzakállasDepartment of Biological Physics, Faculty of Science, Eötvös Loránd University, 1053 Budapest, Hungary.ORCID 0009-0002-3117-5842
Alexandra KalmárDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary.ORCID 0000-0002-3824-1534
Barbara Kinga BartákDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary.
Zsófia Brigitta NagyDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary.
Gábor ValczHUN-REN-SU Translational Extracellular Vesicle Research Group, 1117 Budapest, Hungary.
Tamás Richárd LinknerDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary.
Kristóf Róbert RadaDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary.ORCID 0000-0001-7849-5312
István TakácsDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary.
Béla MolnárDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary.

Funding

Fund National Cardiovascular Laboratory RRF-2.3.1-21-2022-0000Hungarian Scientific Research Fund NKFI-143002National Research, Development and Innovation Office FK0201NEPE/TKPNKTA-47National Research, Development and Innovation Office KDP-2023/C2270480
6 · The paper itself

Abstract

The progression of colorectal cancer is strongly influenced by environmental and genetic conditions. One of the key factors is tumor heterogeneity which is extensively studied by cfDNA and bulk sequencing methods; however, we lack knowledge regarding its effects at the single-cell level. Motivated by this, we aimed to employ an end-to-end single-cell sequencing workflow from tissue-derived sample isolation to exome sequencing. Our main goal was to investigate the heterogeneity patterns by laser microdissecting samples from different locations of a tissue slide. Moreover, by studying healthy colon control, tumor-associated normal, and colorectal cancer tissues, we explored tissue-specific heterogeneity motifs. For completeness, we also compared the performance of the whole-exome bulk, cfDNA, and single-cell sequencing methods based on variation at the level of a single nucleotide.

Indexed as

Colorectal NeoplasmsExomeGenetic HeterogeneitySingle-Cell AnalysisExome SequencingHumansPolymorphism, Single Nucleotidecolorectal cancernext-generation sequencingsingle-celltumor heterogeneity

Identifiers

PMID39859451
PMCPMC11766235

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.