Evidence map›Paper›PMID 34597590›Full record

ArticleCancer cell2021

Dissecting bulk transcriptomes of diffuse large B cell lymphoma.

Dylan R McNally, Olivier Elemento, Ari Melnick

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cancer cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Dylan R McNallyCaryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA.
Olivier ElementoCaryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA.
Ari MelnickDivision of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA. Electronic address: amm2014@med.cornell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B cell lymphoma (DLBCL) is a markedly phenotypically heterogenous disease, frequently assessed using bulk genomic techniques that blur the intrinsic heterogeneity of each tumor. In this issue of Cancer Cell, Steen et al. have utilized a computational framework called EcoTyper to skillfully dissect bulk transcriptomic tumor profiles into different cell type components in an unsupervised manner.

Indexed as

Lymphoma, Large B-Cell, DiffuseTranscriptomeGene Expression ProfilingGenomicsHumansPrognosis

Identifiers

PMID34597590

What OpenQuestion holds

Textmetadata
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.