Evidence map›Paper›PMID 37794800›Full record

ArticleHaematologica2024

Single-cell analysis of the CD8

James Favaloro, Christian E Bryant, Edward Abadir, Samuel Gardiner, Shihong Yang, Tracy King, Najah Nassif, Lisa M Sedger, Richard Boyle, Douglas E Joshua and 1 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2024. 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
0.6field-weighted citation impact, top 26% 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, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

11 authors at 5 institutions in 1 country.

James FavaloroInstitute of Haematology, Multiple Myeloma Research Laboratory, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; School of Life Sciences, University of Technology Sydney, Ultimo, NSW. james.favaloro@health.nsw.gov.au.
Christian E BryantInstitute of Haematology, Multiple Myeloma Research Laboratory, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW. christian.bryant@health.nsw.gov.au.
Edward AbadirInstitute of Haematology, Multiple Myeloma Research Laboratory, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW.
Samuel GardinerSydney Local Health District Clinical Research Institute, Royal Prince Alfred Hospital, Camperdown, NSW.
Shihong YangInstitute of Haematology, Multiple Myeloma Research Laboratory, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW.
Tracy KingInstitute of Haematology, Multiple Myeloma Research Laboratory, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW.
Najah NassifSchool of Life Sciences, University of Technology Sydney, Ultimo, NSW.
Lisa M SedgerInstitute for Clinical Pathology and Medical Research (ICPMR), NSW Health Pathology, Westmead Hospital. Westmead NSW, Sydney, Australia; Centre for Virus research, Westmead Institute for Medical research. Westmead NSW, Sydney.
Richard BoyleOrthopaedics Department, Sydney Local Health District, Royal Prince Alfred Hospital, Camperdown, NSW.
Douglas E JoshuaInstitute of Haematology, Multiple Myeloma Research Laboratory, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW.
P Joy HoInstitute of Haematology, Multiple Myeloma Research Laboratory, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; School of Life Sciences, University of Technology Sydney, Ultimo, NSW, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW.
Royal Prince Alfred Hospital · AUUniversity of Technology Sydney · AUThe University of Sydney · AUNew South Wales Department of Health · AUWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is an incurable disease of the bone marrow (BM) characterized by the uncontrolled proliferation of neoplastic plasma cells. While CD8+ T cells have an established role in disease control, few studies have focused on these cells within the MM tumor microenvironment (TME). We analyzed CD8+ T cells in the BM and peripheral blood (PB) of untreated patients with MM and non-myeloma controls using flow cytometry, mass cytometry and single-cell RNA sequencing, using several novel bioinformatics workflows. Inter-tissue differences were most evident in the differential expression of Granzymes B and K, which were strongly associated with two distinct subsets of CD8+ T cells delineated by the expression of CD69, accounting for roughly 50% of BM-CD8+ T cells of all assessed cohorts. While few differences were observable between health and disease in the BM-restricted CD8CD69+ T-cell subset, the CD8+CD69- T-cell subset in the BM of untreated MM patients demonstrated increased representation of highly differentiated effector cells and evident compositional parallels between the PB, absent in age-matched controls, where a marked reduction of effector cells was observed. We demonstrate the transcriptional signature of BM-CD8+ T cells from patients with MM more closely resembles TCR-activated CD8+ T cells from age-matched controls than their resting counterparts.

Indexed as

Multiple MyelomaBone MarrowCD8-Positive T-LymphocytesHumansSingle-Cell AnalysisT-Lymphocyte SubsetsTumor Microenvironment

Identifiers

PMID37794800
PMCPMC10985429
OpenAlexW4387357207

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.