Evidence map›Paper›PMID 34230608›Full record

ArticleLeukemia2022

High-dimensional and single-cell transcriptome analysis of the tumor microenvironment in angioimmunoblastic T cell lymphoma (AITL).

Joshua C Pritchett, Zhi-Zhang Yang, Hyo Jin Kim, Jose C Villasboas, Xinyi Tang, Shahrzad Jalali, James R Cerhan, Andrew L Feldman, Stephen M Ansell

Abstract read
PubMed Publisher
In one paragraph

Article in Leukemia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 40 citations in OpenAlex.

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  19. DNMT3AOncogene · 2023
    Article
  20. TIGIT is a key inhibitory checkpoint receptor in lymphoma.Journal for immunotherapy of cancer · 2023
    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 at 3 institutions in 1 country.

Joshua C PritchettDepartment of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-6139-5526
Zhi-Zhang YangDepartment of Hematology, Mayo Clinic, Rochester, MN, USA.
Hyo Jin KimDepartment of Hematology, Mayo Clinic, Rochester, MN, USA.
Jose C VillasboasDepartment of Hematology, Mayo Clinic, Rochester, MN, USA.
Xinyi TangDepartment of Hematology, Mayo Clinic, Rochester, MN, USA.
Shahrzad JalaliDepartment of Hematology, Mayo Clinic, Rochester, MN, USA.
James R CerhanDepartment of Health Sciences Research and Epidemiology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-7482-178X
Andrew L FeldmanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-5009-4808
Stephen M AnsellDepartment of Hematology, Mayo Clinic, Rochester, MN, USA. Ansell.stephen@mayo.edu.ORCID http://orcid.org/0000-0003-1244-6758
Mayo Clinic in Arizona · USMayo Clinic · USMayo Clinic in Florida · US

Funding

The Role of Monocytes in non-Hodgkin LymphomaP50CA097274 · NCI · UNIVERSITY OF IOWA · PI HOUTMAN, JON C.D. · 2002 to 2021
$45.7M
6 · The paper itself

Abstract

Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive lymphoid malignancy associated with a poor clinical prognosis. The AITL tumor microenvironment (TME) is unique, featuring a minority population of malignant CD4+ T follicular helper (TFH) cells inter-mixed with a diverse infiltrate of multi-lineage immune cells. While much of the understanding of AITL biology to date has focused on characteristics of the malignant clone, less is known about the many non-malignant populations that comprise the TME. Recently, mutational consistencies have been identified between malignant cells and non-malignant B cells within the AITL TME. As a result, a significant role for non-malignant populations in AITL biology has been increasingly hypothesized. In this study, we have utilized mass cytometry and single-cell transcriptome analysis to identify several expanded populations within the AITL TME. Notably, we find that B cells within the AITL TME feature decreased expression of key markers including CD73 and CXCR5. Furthermore, we describe the expansion of distinct CD8+ T cell populations that feature an exhausted phenotype and an underlying expression profile indicative of dysfunction, impaired cytotoxicity, and upregulation of the chemokines XCL2 and XCL1.

Indexed as

MutationTranscriptomeTumor MicroenvironmentBiomarkers, TumorCase-Control StudiesGene Expression ProfilingGene Expression Regulation, LeukemicHumansImmunoblastic LymphadenopathyLymphoma, T-CellPhenotypePrognosisSingle-Cell AnalysisTumor Cells, CulturedBiomarkers, Tumor

Identifiers

PMID34230608
OpenAlexW3182533420

What Socratic 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 Socratic graph.