Evidence map›Paper›PMID 34359592›Full record

ArticleCancers2021

Tackling Tumour Cell Heterogeneity at the Super-Resolution Level in Human Colorectal Cancer Tissue.

Fabian Lang, María F Contreras-Gerenas, Márton Gelléri, Jan Neumann, Ole Kröger, Filip Sadlo, Krzysztof Berniak, Alexander Marx, Christoph Cremer, Hans-Achim Wagenknecht and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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

11 authors at 4 institutions in 2 countries.

Fabian LangInstitute of Organic Chemistry, Karlsruhe Institute of Technology (KIT), Fritz-Haber-Weg 6, Campus Süd, 76131 Karlsruhe, Germany.ORCID 0000-0002-2945-9013
María F Contreras-GerenasDepartment of Experimental Surgery-Cancer Metastasis, Mannheim Medical Faculty, Ruprecht-Karls University of Heidelberg, Ludolf-Krehl-Straße 13-17, 68167 Mannheim, Germany.ORCID 0000-0001-6239-5325
Márton GellériInstitute of Molecular Biology (IMB), Ackermannweg 4, 55128 Mainz, Germany.ORCID 0000-0003-2145-838X
Jan NeumannInstitute of Molecular Biology (IMB), Ackermannweg 4, 55128 Mainz, Germany.
Ole KrögerInterdisciplinary Centre for Scientific Computing (IWR), University Heidelberg, Mathematikon B, Im Neuenheimer Feld 205, 69120 Heidelberg, Germany.
Filip SadloInterdisciplinary Centre for Scientific Computing (IWR), University Heidelberg, Mathematikon B, Im Neuenheimer Feld 205, 69120 Heidelberg, Germany.ORCID 0000-0002-8949-8452
Krzysztof BerniakDepartment of Cell Biophysics, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Gronostajowa 7 Street, 30-387 Krakow, Poland.
Alexander MarxInstitute of Pathology, Mannheim Medical Faculty, Ruprecht-Karls University of Heidelberg, Theodor-Kutzer-Ufer 1, 68167 Mannheim, Germany.
Christoph CremerInstitute of Molecular Biology (IMB), Ackermannweg 4, 55128 Mainz, Germany.
Hans-Achim WagenknechtInstitute of Organic Chemistry, Karlsruhe Institute of Technology (KIT), Fritz-Haber-Weg 6, Campus Süd, 76131 Karlsruhe, Germany.
Heike AllgayerDepartment of Experimental Surgery-Cancer Metastasis, Mannheim Medical Faculty, Ruprecht-Karls University of Heidelberg, Ludolf-Krehl-Straße 13-17, 68167 Mannheim, Germany.ORCID 0000-0003-2192-5101
Heidelberg University · DEInstitute of Molecular Biology · DEKarlsruhe Institute of Technology · DEJagiellonian University · PL

Funding

doctoral research grant 2016/20/T/NZ1/00517National Science Centre 2015/19/N/NZ1/00323
6 · The paper itself

Abstract

Tumour cell heterogeneity, and its early individual diagnosis, is one of the most fundamental problems in cancer diagnosis and therapy. Single molecule localisation microscopy (SMLM) resolves subcellular features but has been limited to cultured cell lines only. Since nuclear chromatin architecture and microRNAs are critical in metastasis, we introduce a first-in-field approach for quantitative SMLM-analysis of chromatin nanostructure in individual cells in resected, routine-pathology colorectal carcinoma (CRC) patient tissue sections. Chromatin density profiles proved to differ for cells in normal and carcinoma colorectal tissues. In tumour sections, nuclear size and chromatin compaction percentages were significantly different in carcinoma versus normal epithelial and other cells of colorectal tissue. SMLM analysis in nuclei from normal colorectal tissue revealed abrupt changes in chromatin density profiles at the nanoscale, features not detected by conventional widefield microscopy. SMLM for microRNAs relevant for metastasis was achieved in colorectal cancer tissue at the nuclear level. Super-resolution microscopy with quantitative image evaluation algorithms provide powerful tools to analyse chromatin nanostructure and microRNAs of individual cells from normal and tumour tissue at the nanoscale. Our new perspectives improve the differential diagnosis of normal and (metastatically relevant) tumour cells at the single-cell level within the heterogeneity of primary tumours of patients.

Indexed as

chromatin densitymetastasismicroRNAsnanoscalesuper-resolution microscopytumour cell heterogeneity

Identifiers

PMID34359592
PMCPMC8345115
OpenAlexW3185395712

What OpenQuestion 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 OpenQuestion graph.