Evidence map›Paper›PMID 33968403›Full record

ArticleClinical & translational immunology2021

Categorisation of patients based on immune profiles: a new approach to identifying candidates for response to checkpoint inhibitors.

Svetlana Bornschlegl, Michael P Gustafson, Danae A Delivanis, Mabel Ryder, Minetta C Liu, George Vasmatzis, Chris L Hallemeier, Sean S Park, Lewis R Roberts, Ian F Parney and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 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
0.4field-weighted citation impact, top 39% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
  4. Review
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

12 authors at 2 institutions in 1 country.

Svetlana BornschleglImmune Progenitor and Cell Therapy (IMPACT) Division of Experimental Pathology Mayo Clinic Rochester MN USA.
Michael P GustafsonImmune Progenitor and Cell Therapy (IMPACT) Division of Experimental Pathology Mayo Clinic Rochester MN USA.
Danae A DelivanisDivision of Endocrinology, Diabetes, Metabolism, and Nutrition Mayo Clinic Rochester MN USA.
Mabel RyderDivision of Endocrinology, Diabetes, Metabolism, and Nutrition Mayo Clinic Rochester MN USA.
Minetta C LiuDivision of Medical Oncology Mayo Clinic Rochester MN USA.
George VasmatzisDepartment of Molecular Medicine Mayo Clinic Rochester MN USA.
Chris L HallemeierDepartment of Radiation Oncology Mayo Clinic Rochester MN USA.
Sean S ParkDepartment of Radiation Oncology Mayo Clinic Rochester MN USA.
Lewis R RobertsDivision of Gastroenterology and Hepatology Mayo Clinic Rochester MN USA.
Ian F ParneyDepartment of Neurosurgery Mayo Clinic Rochester MN USA.
Diane F JelinekDepartment of Immunology Mayo Clinic Scottsdale AZ USA.
Allan B DietzImmune Progenitor and Cell Therapy (IMPACT) Division of Experimental Pathology Mayo Clinic Rochester MN USA.
Mayo Clinic in Arizona · USMayo Clinic · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

objectivesInhibitors to the checkpoint proteins cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death protein 1 (PD-1) are becoming widely used in cancer treatment. However, a lack of understanding of the patient response to treatment limits accurate identification of potential responders to immunotherapy.

methodsIn this study, we assessed the expression of PD-1 and CTLA-4 on 19 leucocyte populations in the peripheral blood of 74 cancer patients. A reference data set for PD-1 and CTLA-4 was established for 40 healthy volunteers to determine the normal expression patterns for these checkpoint proteins.

resultsUnsupervised hierarchical clustering found four immune profiles shared across the solid tumor types, while chronic lymphocytic leukaemia patients had an immune profile largely unique to them. Furthermore, we measured these leucocyte populations on an additional cohort of 16 cancer patients receiving the PD-1 inhibitor pembrolizumab in order to identify differences between responders and non-responders, as well as compared to healthy volunteers (

conclusionThese results are suggestive that categorisation of patients based on immune profiles may differentiate responders from non-responders to immunotherapy for solid tumors.

Indexed as

checkpoint inhibitorsCTLA‐4immune monitoringimmune profilePD‐1programmed death 1

Identifiers

PMID33968403
PMCPMC8082708
OpenAlexW3158903898

What OpenQuestion holds

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Registered trials

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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.