Evidence map›Paper›PMID 36396631›Full record

ArticleNature communications2022

Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesis.

Rebecca Boiarsky, Nicholas J Haradhvala, Jean-Baptiste Alberge, Romanos Sklavenitis-Pistofidis, Tarek H Mouhieddine, Oksana Zavidij, Ming-Chieh Shih, Danielle Firer, Mendy Miller, Habib El-Khoury and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

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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

15 authors.

Rebecca BoiarskyBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-8817-8086
Nicholas J HaradhvalaBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-1113-3135
Jean-Baptiste AlbergeBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Romanos Sklavenitis-PistofidisBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Tarek H MouhieddineDivision of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-1190-5978
Oksana ZavidijConstellation Pharmaceuticals a MorphoSys Company, Cambridge, MA, USA.
Ming-Chieh ShihCSAIL and IMES, Massachusetts Institute of Technology, Cambridge, MA, USA.
Danielle FirerBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Mendy MillerBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Habib El-KhouryDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Shankara K AnandBroad Institute of MIT and Harvard, Cambridge, MA, USA.
François AguetBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-9414-300X
David SontagBroad Institute of MIT and Harvard, Cambridge, MA, USA. dsontag@mit.edu.ORCID 0000-0002-5034-7796
Irene M GhobrialBroad Institute of MIT and Harvard, Cambridge, MA, USA. Irene_Ghobrial@dfci.harvard.edu.ORCID 0000-0001-7361-3092
Gad GetzBroad Institute of MIT and Harvard, Cambridge, MA, USA. gadgetz@broadinstitute.org.ORCID 0000-0002-0936-0753

Funding

MOLECULAR BIOPHYSICS TRAINING GRANTT32GM008313 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI MURTHY, VENKATESH N · 1989 to 2023
$14.6M
NIGMS NIH HHS T32 GM008313
6 · The paper itself

Abstract

Multiple myeloma is a plasma cell malignancy almost always preceded by precursor conditions, but low tumor burden of these early stages has hindered the study of their molecular programs through bulk sequencing technologies. Here, we generate and analyze single cell RNA-sequencing of plasma cells from 26 patients at varying disease stages and 9 healthy donors. In silico dissection and comparison of normal and transformed plasma cells from the same bone marrow biopsy enables discovery of patient-specific transcriptional changes. Using Non-Negative Matrix Factorization, we discover 15 gene expression signatures which represent transcriptional modules relevant to myeloma biology, and identify a signature that is uniformly lost in abnormal cells across disease stages. Finally, we demonstrate that tumors contain heterogeneous subpopulations expressing distinct transcriptional patterns. Our findings characterize transcriptomic alterations present at the earliest stages of myeloma, providing insight into the molecular underpinnings of disease initiation.

Indexed as

Multiple MyelomaBone MarrowCarcinogenesisCell Transformation, NeoplasticHumansPlasma Cells

Identifiers

PMID36396631
PMCPMC9672303

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.