Evidence map›Paper›PMID 33561953›Full record

ArticleCancers2021

Spatial Heterogeneity in Large Resected Diffuse Large B-Cell Lymphoma Bulks Analysed by Massively Parallel Sequencing of Multiple Synchronous Biopsies.

Teresa Magnes, Sandro Wagner, Aaron R Thorner, Daniel Neureiter, Eckhard Klieser, Gabriel Rinnerthaler, Lukas Weiss, Florian Huemer, Konstantin Schlick, Nadja Zaborsky and 4 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

14 authors at 2 institutions in 2 countries.

Teresa MagnesDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.ORCID 0000-0002-0618-6040
Sandro WagnerDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.
Aaron R ThornerCenter for Cancer Genomics, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, USA.
Daniel NeureiterDepartment of Pathology, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.
Eckhard KlieserDepartment of Pathology, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.
Gabriel RinnerthalerDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.ORCID 0000-0001-7438-1465
Lukas WeissDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.ORCID 0000-0002-2174-5613
Florian HuemerDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.ORCID 0000-0001-9184-4038
Konstantin SchlickDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.
Nadja ZaborskyDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.
Markus SteinerDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.ORCID 0000-0003-4424-6347
Richard GreilDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.ORCID 0000-0002-4462-3694
Alexander EgleDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.
Thomas MelchardtDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Müllner Hauptstraße 48, 5020 Salzburg, Austria.
Paracelsus Medical University · ATDana-Farber Cancer Institute · US

Funding

Paracelsus Medizinische Privatuniversität E-16/23/120-MEEParacelsus Medizinische Privatuniversität R-15/03/069-MELParacelsus Medizinische Privatuniversität R-15/05/074-MEL
6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) usually needs to be treated immediately after diagnosis from a single lymph node biopsy. However, several reports in other malignancies have shown substantial spatial heterogeneity within large tumours. Therefore, we collected multiple synchronous biopsies of twelve patients that had diagnostic or therapeutic resections of large lymphoma masses and performed next-generation sequencing of 213 genes known to be important for lymphoma biology. Due to the high tumour cell content in the biopsies, we were able to detect several mutations which were present with a stable allelic frequency across all the biopsies of each patient. However, ten out of twelve patients had spatially discordant mutations and similar results were found by the analysis of copy number variants. The median Jaccard similarity coefficient, a measure of the similarity of a sample set was 0.77 (range 0.47-1), and some of the involved genes such as

Indexed as

clonal evolutiondiffuse large B-cell lymphomalymphomagenesismassively parallel sequencingspatial heterogeneity

Identifiers

PMID33561953
PMCPMC7914762
OpenAlexW3128423487

What OpenQuestion holds

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LicenceCC BY
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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.