Evidence map›Paper›PMID 33975634›Full record

ArticleGenome medicine2021

Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq.

Wenting Zhao, Athanassios Dovas, Eleonora Francesca Spinazzi, Hanna Mendes Levitin, Matei Alexandru Banu, Pavan Upadhyayula, Tejaswi Sudhakar, Tamara Marie, Marc L Otten, Michael B Sisti and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 96 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

13 authors at 1 institution in 1 country.

Wenting Zhao *Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Athanassios Dovas *Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Eleonora Francesca Spinazzi *Department of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Hanna Mendes LevitinDepartment of Systems Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Matei Alexandru BanuDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Pavan UpadhyayulaDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Tejaswi SudhakarDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Tamara MarieDepartment of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Marc L OttenDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Michael B SistiDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Jeffrey N BruceDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Peter CanollDepartment of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA. pc561@cumc.columbia.edu.
Peter A SimsDepartment of Systems Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA. pas2182@cumc.columbia.edu.ORCID 0000-0002-3921-4837
Columbia University Irving Medical Center · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Parisa Tehranifar · 1985 to 2026
$115.3M
Systematic Identification and Pharmacological Targeting of Tumor Dependencies for Precision Cancer MedicineU01CA217858 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2017 to 2021
$6.1M
Single Cell Analysis of the Infiltrative Margins of Glioblastoma and Post Treatment RecurrenceR01NS103473 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JEFFREY N BRUCE, Peter Canoll · 2017 to 2026
$4.3M
Targeting Go and Grow in GlioblastomaR01NS118513 · NINDS · MAYO CLINIC JACKSONVILLE · PI CANOLL, PETER, KENCHAPPA, RAJAPPA · 2020 to 2024
$2.8M
CAPRI: Columbia Cancer Training Program for Resident-InvestigatorsR38CA231577 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREW, KATHERINE D, SCHWARTZ, GARY K · 2018 to 2021
$1.4M
NCI NIH HHS P30 CA013696NCI NIH HHS R38 CA231577NCI NIH HHS U01 CA217858NINDS NIH HHS R01 NS118513
6 · The paper itself

Abstract

backgroundPreclinical studies require models that recapitulate the cellular diversity of human tumors and provide insight into the drug sensitivities of specific cellular populations. The ideal platform would enable rapid screening of cell type-specific drug sensitivities directly in patient tumor tissue and reveal strategies to overcome intratumoral heterogeneity.

methodsWe combine multiplexed drug perturbation in acute slice culture from freshly resected tumors with single-cell RNA sequencing (scRNA-seq) to profile transcriptome-wide drug responses in individual patients. We applied this approach to drug perturbations on slices derived from six glioblastoma (GBM) resections to identify conserved drug responses and to one additional GBM resection to identify patient-specific responses.

resultsWe used scRNA-seq to demonstrate that acute slice cultures recapitulate the cellular and molecular features of the originating tumor tissue and the feasibility of drug screening from an individual tumor. Detailed investigation of etoposide, a topoisomerase poison, and the histone deacetylase (HDAC) inhibitor panobinostat in acute slice cultures revealed cell type-specific responses across multiple patients. Etoposide has a conserved impact on proliferating tumor cells, while panobinostat treatment affects both tumor and non-tumor populations, including unexpected effects on the immune microenvironment.

conclusionsAcute slice cultures recapitulate the major cellular and molecular features of GBM at the single-cell level. In combination with scRNA-seq, this approach enables cell type-specific analysis of sensitivity to multiple drugs in individual tumors. We anticipate that this approach will facilitate pre-clinical studies that identify effective therapies for solid tumors.

Indexed as

Biomarkers, TumorRNA-SeqSingle-Cell AnalysisAntineoplastic AgentsComputational BiologyDrug Screening Assays, AntitumorGene Expression Regulation, NeoplasticHumansImmunohistochemistryIn Situ HybridizationMicroscopyNeoplasmsPrecision MedicineSensitivity and SpecificityTreatment OutcomeTumor MicroenvironmentAntineoplastic AgentsBiomarkers, TumorDrug perturbationEtoposideGlioblastomaPanobinostatSingle-cell RNA sequencing (scRNA-seq)Tissue slice cultureTumor heterogeneityTumor microenvironment

Identifiers

PMID33975634
PMCPMC8114529
OpenAlexW3160156316

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.