Evidence map›Paper›PMID 32253233›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

Single-Cell-Derived Primary Rectal Carcinoma Cell Lines Reflect Intratumor Heterogeneity Associated with Treatment Response.

Rüdiger Braun, Lena Anthuber, Daniela Hirsch, Darawalee Wangsa, Justin Lack, Nicole E McNeil, Kerstin Heselmeyer-Haddad, Irianna Torres, Danny Wangsa, Markus A Brown and 12 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

22 authors at 6 institutions in 2 countries.

Rüdiger BraunSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Lena Anthuber *Section of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Daniela Hirsch *Section of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Darawalee WangsaSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Justin LackNIAID Collaborative Bioinformatics Resource (NCBR), National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland.
Nicole E McNeilSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Kerstin Heselmeyer-HaddadSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Irianna TorresSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Danny WangsaSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Markus A BrownSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.ORCID 0000-0002-2069-0120
Anthony TubbsLaboratory of Genome Integrity, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Noam AuslanderCancer Data Science Laboratory, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
E Michael GertzCancer Data Science Laboratory, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.ORCID 0000-0001-8390-4387
Philip R BrauerSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Margaret C CamOffice of Science and Technology Resources, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Dan L SackettEunice Kennedy Shriver National Institute of Child Health & Human Development, NIH, Bethesda, Maryland.
Jens K HabermannSection of Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Germany.
Andre NussenzweigLaboratory of Genome Integrity, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Eytan RuppinCancer Data Science Laboratory, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Zhongqiu ZhangDepartment of Surgery, Waterbury Hospital, University of Connecticut School of Medicine, Waterbury, Connecticut.
Daniel W RosenbergCenter for Molecular Oncology, University of Connecticut Health, Farmington, Waterbury, Connecticut.ORCID 0000-0003-2897-2613
Thomas RiedSection of Cancer Genomics, Center for Cancer Research, NCI, NIH, Bethesda, Maryland. riedt@mail.nih.gov.ORCID 0000-0002-0767-6009
Center for Cancer Research · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USFrederick National Laboratory for Cancer Research · USUConn Health · USUniversity Hospital Schleswig-Holstein · DEWaterbury Hospital · US

Funding

CCR Collaborative Bioinformatics ResourceZICBC011532 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MALIK, MARIAM · 2013 to 2025
$33.7M
Relationship between DNA damage detection and signalingZIABC010959 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSENZWEIG, ANDRE A. · 2009 to 2025
$27.0M
DNA RepairZIABC010283 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSENZWEIG, ANDRE A. · 2009 to 2025
$27.0M
Intratumor heterogeneity and tumor evolutionZIABC010834 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2023
$12.2M
Identification and functional characterization of colorectal cancer genesZIABC010833 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2022
$12.1M
Prediction of Therapy Response in Colorectal CancerZIABC010837 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2022
$8.9M
Are ACF Surrogate Markers for Chemoprevention?R01CA159976 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ROSENBERG, DANIEL WILLIAM · 2012 to 2016
$1.9M
Intramural NIH HHS ZIA BC010834NCI NIH HHS R01 CA159976
6 · The paper itself

Abstract

purposeThe standard treatment of patients with locally advanced rectal cancer consists of preoperative chemoradiotherapy (CRT) followed by surgery. However, the response of individual tumors to CRT is extremely diverse, presenting a clinical dilemma. This broad variability in treatment response is likely attributable to intratumor heterogeneity (ITH). EXPERIMENTAL

designWe addressed the impact of ITH on response to CRT by establishing single-cell-derived cell lines (SCDCL) from a treatment-naïve rectal cancer biopsy after xenografting.

resultsIndividual SCDCLs derived from the same tumor responded profoundly different to CRT

conclusionsOur model system of patient-derived SCDCLs provides evidence for the critical role of ITH for treatment response in patients with rectal cancer and shows that distinct genetic aberration profiles are associated with treatment response. We identified specific pathways as the molecular basis of treatment response of individual clones, which could be targeted in resistant subclones of a heterogenous tumor.

Indexed as

Genetic HeterogeneitySingle-Cell AnalysisAnimalsBiomarkers, TumorCell Line, TumorCombined Modality TherapyComparative Genomic HybridizationDisease Models, AnimalExome SequencingHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMiceRectal NeoplasmsSignal TransductionTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID32253233
PMCPMC8496519
OpenAlexW3015049042

What OpenQuestion holds

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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.