Evidence map›Paper›PMID 34518309›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

Single-Cell Profiling Reveals Metabolic Reprogramming as a Resistance Mechanism in

Johannes M Waldschmidt, Jake A Kloeber, Praveen Anand, Julia Frede, Antonis Kokkalis, Valeriya Dimitrova, Sayalee Potdar, Monica S Nair, Tushara Vijaykumar, Nam Gyu Im and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. 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
6.7field-weighted citation impact, top 3% 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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  15. [Latest Findings on the Mechanism of the Interaction Between Multiple Myeloma Cells and Bone Marrow Microenvironment].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 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

24 authors at 4 institutions in 1 country.

Johannes M WaldschmidtDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5340-1818
Jake A KloeberDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-6646-564X
Praveen AnandDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-2478-7042
Julia FredeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Antonis KokkalisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Valeriya DimitrovaHarvard Medical School, Boston, Massachusetts.
Sayalee PotdarDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5390-1222
Monica S NairDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Tushara VijaykumarDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Nam Gyu ImHarvard Medical School, Boston, Massachusetts.
Amy Guillaumet-AdkinsHarvard Medical School, Boston, Massachusetts.
Nitish ChopraMassachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-4535-7508
Hannah StuartDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Lillian BudanoHarvard Medical School, Boston, Massachusetts.
Noori SotudehDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-1683-7273
Guangwu GuoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Clemens GrassbergerHarvard Medical School, Boston, Massachusetts.ORCID 0000-0002-4425-4489
Andrew J YeeHarvard Medical School, Boston, Massachusetts.ORCID 0000-0003-3623-7491
Jacob P LaubachDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-7565-2052
Paul G RichardsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-7426-8865
Kenneth C AndersonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Noopur S RajeHarvard Medical School, Boston, Massachusetts.
Birgit Knoechel *Harvard Medical School, Boston, Massachusetts.
Jens G Lohr *Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts. jensg_lohr@dfci.harvard.edu.
Broad Institute · USHarvard University · USDana-Farber Cancer Institute · USMassachusetts General Hospital · US

Funding

Determining the mutational landscape of circulating multiple myeloma cellsK08CA191026 · NCI · DANA-FARBER CANCER INST · PI LOHR, JENS G · 2015 to 2019
$886k
Epigenetic mechanisms of drug resistance in T-cell acute lymphoblastic leukemiaK08CA191091 · NCI · DANA-FARBER CANCER INST · PI KNOECHEL, BIRGIT · 2015 to 2019
$886k
NCI NIH HHS K08 CA191026NCI NIH HHS K08 CA191091
6 · The paper itself

Abstract

purposeAlthough remarkably effective in some patients, precision medicine typically induces only transient responses despite initial absence of resistance-conferring mutations. Using EXPERIMENTAL

designFull-length single-cell RNA (scRNA) sequencing (scRNA-seq) was conducted on 3 patients with

resultsProfiling by scRNA-seq revealed rapid cellular state changes in response to BRAF/MEK inhibition in patients with myeloma and cell lines. Transcriptional adaptation preceded detectable outgrowth of genetically discernible drug-resistant clones and was associated with widespread enhancer remodeling. As a dominant vulnerability, dependency on oxidative phosphorylation (OxPhos) was induced. In treated individuals, OxPhos was activated at the time of relapse and showed inverse correlation to MAPK activation. Metabolic flux analysis confirmed OxPhos as a preferential energetic resource of drug-persistent myeloma cells.

conclusionsThis study demonstrates that cancer cells have the ability to rapidly adapt to precision treatments through transcriptional state changes, epigenetic adaptation, and metabolic rewiring, thus facilitating the development of refractory disease while simultaneously exposing novel vulnerabilities.

Indexed as

MelanomaMultiple MyelomaDrug Resistance, NeoplasmHumansMutationNeoplasm Recurrence, LocalProtein Kinase InhibitorsProto-Oncogene Proteins B-rafSingle-Cell AnalysisBRAF protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins B-raf

Identifiers

PMID34518309
PMCPMC8639639
OpenAlexW3201262722

What OpenQuestion holds

Textmetadata
LicenceTDM
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.