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dc.contributor.authorFontana, E
dc.contributor.authorEason, K
dc.contributor.authorCervantes, A
dc.contributor.authorSalazar, R
dc.contributor.authorSadanandam, A
dc.date.accessioned2019-04-30T10:42:32Z
dc.date.issued2019-04
dc.identifier.citationAnnals of oncology : official journal of the European Society for Medical Oncology, 2019, 30 (4), pp. 520 - 527
dc.identifier.issn0923-7534
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3209
dc.identifier.eissn1569-8041
dc.identifier.doi10.1093/annonc/mdz052
dc.description.abstractThe Colorectal Cancer Subtyping Consortium identified four gene expression consensus molecular subtypes, CMS1 (immune), CMS2 (canonical), CMS3 (metabolic), and CMS4 (mesenchymal), using multiple microarray or RNA-sequencing datasets of primary tumor samples mainly from early stage colon cancer patients. Consequently, rectal tumors and stage IV tumors (possibly reflective of more aggressive disease) were underrepresented, and no chemo- and/or radiotherapy pretreated samples or metastatic lesions were included. In view of their possible effect on gene expression and consequently subtype classification, sample source and treatments received by the patients before collection must be carefully considered when applying the classifier to new datasets. Recently, several correlative analyses of clinical trials demonstrated the applicability of this classification to the metastatic setting, confirmed the prognostic value of CMS subtypes after relapse and hinted at differential sensitivity to treatments. Here, we discuss why contexts and equivocal factors need to be taken into account when analyzing clinical trial data, including potential selection biases, type of platform, and type of algorithm used for subtype prediction. This perspective article facilitates both our clinical and research understanding of the application of this classifier to expedite subtype-based clinical trials.
dc.formatPrint
dc.format.extent520 - 527
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectColorectal Neoplasms
dc.subjectNeoplasm Recurrence, Local
dc.subjectPrognosis
dc.subjectTreatment Outcome
dc.subjectOligonucleotide Array Sequence Analysis
dc.subjectMutation
dc.subjectPatient Selection
dc.subjectClinical Trials as Topic
dc.subjectChemoradiotherapy
dc.subjectDatasets as Topic
dc.subjectBiomarkers, Tumor
dc.subjectBias
dc.subjectData Analysis
dc.subjectRNA-Seq
dc.titleContext matters-consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials.
dc.typeJournal Article
rioxxterms.versionofrecord10.1093/annonc/mdz052
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc/4.0
rioxxterms.licenseref.startdate2019-04
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfAnnals of oncology : official journal of the European Society for Medical Oncology
pubs.issue4
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Systems and Precision Cancer Medicine
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/16/17 Starting Cohort
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Systems and Precision Cancer Medicine
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/16/17 Starting Cohort
pubs.publication-statusPublished
pubs.volume30
pubs.embargo.termsNot known
icr.researchteamSystems and Precision Cancer Medicineen_US
dc.contributor.icrauthorSadanandam, Angurajen
dc.contributor.icrauthorEason, Katherineen
dc.contributor.icrauthorFontana, Elisaen


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0