Evidence map›Paper›PMID 36969740›Full record

ArticleCancer research communications2022

Comprehensive Characterization of the Multiple Myeloma Immune Microenvironment Using Integrated scRNA-seq, CyTOF, and CITE-seq Analysis.

Lijun Yao, Reyka G Jayasinghe, Brian H Lee, Swati S Bhasin, William Pilcher, Deon Bryant Doxie, Edgar Gonzalez-Kozlova, Surendra Dasari, Mark A Fiala, Yered Pita-Juarez and 27 more

Open access · goldFull text read
In one paragraph

Article in Cancer research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.9field-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

25 citing papers in PubMed, 39 citations in OpenAlex.

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  19. Comprehensive Single-Cell Immune Profiling Defines the Patient Multiple Myeloma Microenvironment Following Oncolytic Virus Therapy in a Phase Ib Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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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

37 authors at 6 institutions in 1 country.

Lijun YaoWashington University School of Medicine, Saint Louis, Missouri.
Reyka G JayasingheWashington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0003-2368-4890
Brian H LeeIcahn School of Medicine at Mt. Sinai, New York, New York.
Swati S BhasinEmory University, Atlanta, Georgia.ORCID 0000-0001-8661-1459
William PilcherEmory University, Atlanta, Georgia.ORCID 0000-0002-8544-4967
Deon Bryant DoxieEmory University, Atlanta, Georgia.
Edgar Gonzalez-KozlovaIcahn School of Medicine at Mt. Sinai, New York, New York.
Surendra DasariMayo Clinic, Rochester, Minnesota.ORCID 0000-0002-7972-3556
Mark A FialaWashington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0002-0208-5023
Yered Pita-JuarezBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-6992-252X
Michael StrausbauchMayo Clinic, Rochester, Minnesota.
Geoffrey KellyIcahn School of Medicine at Mt. Sinai, New York, New York.
Beena E ThomasEmory University, Atlanta, Georgia.
Shaji K KumarMayo Clinic, Rochester, Minnesota.ORCID 0000-0001-5392-9284
Hearn Jay ChoIcahn School of Medicine at Mt. Sinai, New York, New York.
Emilie AndersonMayo Clinic, Rochester, Minnesota.
Michael C WendlWashington University School of Medicine, Saint Louis, Missouri.
Travis DawsonIcahn School of Medicine at Mt. Sinai, New York, New York.ORCID 0000-0002-9609-793X
Darwin D'souzaIcahn School of Medicine at Mt. Sinai, New York, New York.
Stephen T OhWashington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0002-8564-5400
Giulia CheloniBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Ying LiMayo Clinic, Rochester, Minnesota.ORCID 0000-0002-7784-9526
John F DiPersioWashington University School of Medicine, Saint Louis, Missouri.
Adeeb H RahmanIcahn School of Medicine at Mt. Sinai, New York, New York.ORCID 0000-0002-8620-3161
Kavita M DhodapkarEmory University, Atlanta, Georgia.ORCID 0000-0003-0587-4172
Seunghee Kim-SchulzeIcahn School of Medicine at Mt. Sinai, New York, New York.
Ravi VijWashington University School of Medicine, Saint Louis, Missouri.
Ioannis S VlachosBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Shaadi MehrMultiple Myeloma Research Foundation, Norwalk, Connecticut.
Mark HamiltonMultiple Myeloma Research Foundation, Norwalk, Connecticut.ORCID 0000-0003-2931-1307
Daniel AuclairMultiple Myeloma Research Foundation, Norwalk, Connecticut.ORCID 0000-0001-5151-3058
Taxiarchis KourelisMayo Clinic, Rochester, Minnesota.
David AviganBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Madhav V DhodapkarEmory University, Atlanta, Georgia.ORCID 0000-0002-8249-5988
Sacha GnjaticIcahn School of Medicine at Mt. Sinai, New York, New York.ORCID 0000-0001-5643-9520
Manoj K BhasinEmory University, Atlanta, Georgia.ORCID 0000-0001-5172-420X
Li DingWashington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0003-1517-2975
Mount Sinai Hospital · USWashington University in St. Louis · USEmory University · USMayo Clinic · USBeth Israel Deaconess Medical Center · USMultiple Myeloma Research Foundation · US

Funding

High-Dimensional Immune Monitoring of NCI-Supported Immunotherapy TrialsU24CA224319 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Sacha Gnjatic, Seunghee Kim-Schulze · 2017 to 2026
$21.5M
NCI NIH HHS U24 CA224319
6 · The paper itself

Abstract

As part of the Multiple Myeloma Research Foundation (MMRF) immune atlas pilot project, we compared immune cells of multiple myeloma bone marrow samples from 18 patients assessed by single-cell RNA sequencing (scRNA-seq), mass cytometry (CyTOF), and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to understand the concordance of measurements among single-cell techniques. Cell type abundances are relatively consistent across the three approaches, while variations are observed in T cells, macrophages, and monocytes. Concordance and correlation analysis of cell type marker gene expression across different modalities highlighted the importance of choosing cell type marker genes best suited to particular modalities. By integrating data from these three assays, we found International Staging System stage 3 patients exhibited decreased CD4 Significance: scRNA-seq, CyTOF, and CITE-seq are increasingly used for evaluating cellular heterogeneity. Understanding their concordances is of great interest. To date, this study is the most comprehensive examination of the measurement of the immune microenvironment in multiple myeloma using the three techniques. Moreover, we identified markers predicted to be significantly associated with multiple myeloma rapid progression.

Indexed as

Multiple MyelomaTranscriptomeCD8-Positive T-LymphocytesHumansPilot ProjectsSingle-Cell Gene Expression AnalysisTumor Microenvironment

Identifiers

PMID36969740
PMCPMC10035369
OpenAlexW4293757902

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read56
identifiers read5
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.