2023
Evolutionary characterization of lung adenocarcinoma morphology in TRACERx
Karasaki T, Moore D, Veeriah S, Naceur-Lombardelli C, Toncheva A, Magno N, Ward S, Bakir M, Watkins T, Grigoriadis K, Huebner A, Hill M, Frankell A, Abbosh C, Puttick C, Zhai H, Gimeno-Valiente F, Saghafinia S, Kanu N, Dietzen M, Pich O, Lim E, Martínez-Ruiz C, Black J, Biswas D, Campbell B, Lee C, Colliver E, Enfield K, Hessey S, Hiley C, Zaccaria S, Litchfield K, Birkbak N, Cadieux E, Demeulemeester J, Van Loo P, Adusumilli P, Tan K, Cheema W, Sanchez-Vega F, Jones D, Rekhtman N, Travis W, Hackshaw A, Marafioti T, Salgado R, Le Quesne J, Nicholson A, McGranahan N, Swanton C, Jamal-Hanjani M. Evolutionary characterization of lung adenocarcinoma morphology in TRACERx. Nature Medicine 2023, 29: 833-845. PMID: 37045996, PMCID: PMC7614478, DOI: 10.1038/s41591-023-02230-w.Peer-Reviewed Original ResearchConceptsPrimary tumor regionLung adenocarcinomaPresence of micropapillary patternLoss of chromosome 3pSolid pattern tumorsHigh-grade patternsClonal evolution analysisSomatic copy number alterationsTumor regionLoss of heterozygosityWhole-exome sequencing dataCopy number alterationsAdenocarcinoma morphologyIntrathoracic recurrenceLepidic tumorsRNA sequencing dataMicropapillary patternRelapse riskGene alterationsMetastatic samplesHistological spectrumMicropapillary tumorsChromosome 3pHigh-gradeHistopathological analysis
2022
Abstract A040: Intra-epithelia cell dynamics shape evolutionary dynamics and selection of therapy resistant clones in lung cancer
Fu X, Bhargava A, Bailey S, Biswas D, Ruiz C, Kumar S, French P, McGranahan N, Swanton C, Bates P, Sahai E. Abstract A040: Intra-epithelia cell dynamics shape evolutionary dynamics and selection of therapy resistant clones in lung cancer. Cancer Research 2022, 82: a040-a040. DOI: 10.1158/1538-7445.evodyn22-a040.Peer-Reviewed Original ResearchEvolutionary dynamicsResistant clonesEnhanced cell motilityCapability of cancer cellsCell-cell cohesionRNA sequencing dataCell dynamicsExpansion of clonesModel of cell proliferationLung cancer cell linesVariant allele frequencySequence dataNeutral evolutionCell motilityGenomic complexityCancer cell linesCell line modelsAllele frequenciesSelection pressureRandom motilityGrowth arrestMutational processesClonesCell migrationIntra-tumor heterogeneity
2019
5O Using single cell data to validate the cellular origins of a clonal expression biomarker in lung cancer
Biswas D, Birkbak N, McGranahan N, Swanton C. 5O Using single cell data to validate the cellular origins of a clonal expression biomarker in lung cancer. Annals Of Oncology 2019, 30: vii2. DOI: 10.1093/annonc/mdz413.010.Peer-Reviewed Original ResearchNon-small cell lung cancerBreast Cancer Research FoundationTumor sampling biasUniversity College London HospitalGene expression signaturesLung cancerChromosomal instabilityPrognostic gene expression signaturesCancer typesExpression signaturesProstate Cancer FoundationClinicopathological risk factorsCell lung cancerCopy-number gainsAssociated with survivalNIHR BRCIntra-tumor heterogeneityPredictive of outcomeExperimental Cancer Medicine CentreLondon HospitalLung Cancer CentreCancer Research UKCancer cell proliferationSingle-cell dataRNA sequencing data