Evidence map›Paper›PMID 36046812›Full record

ArticleOncoimmunology2022

Single-cell RNA-sequencing reveals predictive features of response to pembrolizumab in Sézary syndrome.

Tianying Su, George E Duran, Alexa C Kwang, Nirasha Ramchurren, Steven P Fling, Youn H Kim, Michael S Khodadoust

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. What Is New in Cutaneous T Cell Lymphoma?Current oncology reports · 2023
    Review
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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

7 authors at 2 institutions in 1 country.

Tianying SuDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
George E DuranDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Alexa C KwangDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Nirasha RamchurrenVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Steven P FlingVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Youn H KimDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Michael S KhodadoustDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-9061-7351
Stanford University · USFred Hutch Cancer Center · US

Funding

Cancer Immunotherapy Trials Network Central Operations and Statistical CenterUM1CA154967 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DAVIDSON, NANCY ELLEN · 2017 to 2022
$20.7M
Immune Targeting of non-Hodgkin Lymphoma through Integrative Antigen Presentation ProfilingK08CA207882 · NCI · STANFORD UNIVERSITY · PI KHODADOUST, MICHAEL SIAVASH · 2018 to 2022
$868k
NCI NIH HHS K08 CA207882NCI NIH HHS UM1 CA154967
6 · The paper itself

Abstract

The PD-1 inhibitor pembrolizumab is effective in treating Sézary syndrome, a leukemic variant of cutaneous T-cell lymphoma. Our purpose was to investigate the effects of pembrolizumab on healthy and malignant T cells in Sézary syndrome and to discover characteristics that predict pembrolizumab response. Samples were analyzed before and after 3 weeks of pembrolizumab treatment using single-cell RNA-sequencing of 118,961 peripheral blood T cells isolated from six Sézary syndrome patients. T-cell receptor clonotyping, bulk RNA-seq signatures, and whole-exome data were integrated to classify malignant T-cells and their underlying subclonal heterogeneity. We found that responses to pembrolizumab were associated with lower

Indexed as

Sezary SyndromeSkin NeoplasmsAntibodies, Monoclonal, HumanizedDNA Copy Number VariationsHumansReceptors, KIR3DL2RNAAntibodies, Monoclonal, HumanizedpembrolizumabReceptors, KIR3DL2RNAimmune checkpoint inhibitionintratumoral heterogeneityPD-1Sezary syndromesingle cell RNA-sequencing

Identifiers

PMID36046812
PMCPMC9423847
OpenAlexW4293321662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.