Evidence map›Paper›PMID 31462637›Full record

ArticleBlood cancer journal2019

Mass cytometry dissects T cell heterogeneity in the immune tumor microenvironment of common dysproteinemias at diagnosis and after first line therapies.

Taxiarchis V Kourelis, Jose C Villasboas, Erik Jessen, Surendra Dasari, Angela Dispenzieri, Dragan Jevremovic, Shaji Kumar

Abstract read
In one paragraph

Article in Blood cancer journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  14. The Cancer-Immunity Cycle in Multiple Myeloma.ImmunoTargets and therapy · 2021
    Review
  15. Review
  16. Novel Technologies in Studying Brain Immune Response.Oxidative medicine and cellular longevity · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Taxiarchis V KourelisDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA. kourelis.taxiarchis@mayo.edu.
Jose C VillasboasDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Erik JessenDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Surendra DasariDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Angela DispenzieriDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Dragan JevremovicDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Shaji KumarDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-5392-9284

Funding

Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Yi Lin · 2015 to 2026
$25.5M
NCI NIH HHS P50 CA186781
6 · The paper itself

Abstract

Dysproteinemias progress through a series of clonal evolution events in the tumor cell along with the development of a progressively more "permissive" immune tumor microenvironment (iTME). Novel multiparametric cytometry approaches, such as cytometry by time-of-flight (CyTOF) combined with novel gating algorithms can rapidly characterize previously unknown phenotypes in the iTME of tumors and better capture its heterogeneity. Here, we used a 33-marker CyTOF panel to characterize the iTME of dysproteinemia patients (MGUS, multiple myeloma-MM, smoldering MM, and AL amyloidosis) at diagnosis and after standard of care first line therapies (triplet induction chemotherapy and autologous stem cell transplant-ASCT). We identify novel subsets, some of which are unique to the iTME and absent from matched peripheral blood samples, with potential roles in tumor immunosurveillance as well as tumor immune escape. We find that AL amyloidosis has a distinct iTME compared to other dysproteinemias with higher myeloid and "innate-like" T cell subset infiltration. We show that T cell immune senescence might be implicated in disease pathogenesis in patients with trisomies. Finally, we demonstrate that the early post-ASCT period is associated with an increase of senescent and exhausted subsets, which might have implications for the rational selection of post-ASCT therapies.

Indexed as

AdultFemaleHumansMaleMultiple MyelomaParaproteinemiasT-Lymphocyte SubsetsTumor MicroenvironmentYoung Adult

Identifiers

PMID31462637
PMCPMC6713712

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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.