2024
Integrated mutational landscape analysis of poorly differentiated high-grade neuroendocrine carcinoma of the uterine cervix
Bellone S, Jeong K, Halle M, Krakstad C, McNamara B, Greenman M, Mutlu L, Demirkiran C, Hartwich T, Yang-Hartwich Y, Zipponi M, Buza N, Hui P, Raspagliesi F, Lopez S, Paolini B, Milione M, Perrone E, Scambia G, Altwerger G, Ravaggi A, Bignotti E, Huang G, Andikyan V, Clark M, Ratner E, Azodi M, Schwartz P, Quick C, Angioli R, Terranova C, Zaidi S, Nandi S, Alexandrov L, Siegel E, Choi J, Schlessinger J, Santin A. Integrated mutational landscape analysis of poorly differentiated high-grade neuroendocrine carcinoma of the uterine cervix. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2321898121. PMID: 38625939, PMCID: PMC11046577, DOI: 10.1073/pnas.2321898121.Peer-Reviewed Original ResearchConceptsWhole-exome sequencingPatient-derived-xenograftsBase excision repairCopy number lossMultiregion whole-exome sequencingCopy number gainHigh-grade neuroendocrine carcinomaCNV analysisPhylogenetic analysisEvolutionary historyNeuroendocrine cervical cancerHuman papillomavirus DNAMutator phenotypeSensitivity to afatinibGenetic landscapeRecurrent mutationsRNA sequencingGene fusionsMutational landscape analysisExcision repairGenesMutationsPan-HERConsistent with deficiencyNeuroendocrine carcinoma
2021
Integrated mutational landscape analysis of uterine leiomyosarcomas
Choi J, Manzano A, Dong W, Bellone S, Bonazzoli E, Zammataro L, Yao X, Deshpande A, Zaidi S, Guglielmi A, Gnutti B, Nagarkatti N, Tymon-Rosario JR, Harold J, Mauricio D, Zeybek B, Menderes G, Altwerger G, Jeong K, Zhao S, Buza N, Hui P, Ravaggi A, Bignotti E, Romani C, Todeschini P, Zanotti L, Odicino F, Pecorelli S, Ardighieri L, Bilguvar K, Quick CM, Silasi DA, Huang GS, Andikyan V, Clark M, Ratner E, Azodi M, Imielinski M, Schwartz PE, Alexandrov LB, Lifton RP, Schlessinger J, Santin AD. Integrated mutational landscape analysis of uterine leiomyosarcomas. Proceedings Of The National Academy Of Sciences Of The United States Of America 2021, 118: e2025182118. PMID: 33876771, PMCID: PMC8053980, DOI: 10.1073/pnas.2025182118.Peer-Reviewed Original ResearchConceptsHomologous recombination DNA repair deficiencySequencing dataWhole-genome sequencing dataRNA sequencing dataTCGA samplesCopy number variation analysisATRX/DAXXCopy number lossNumber variation analysisDNA repair deficiencyWhole-exome sequencing dataRecurrent somatic mutationsCopy number gainsCancer Genome AtlasPatient-derived xenograftsTumor suppressorAkt geneGenetic landscapeHRD signaturesPTEN geneGenesMost fusionsC-MycMutational signaturesC-myc/
2019
Whole-exome sequencing of cervical carcinomas identifies activating ERBB2 and PIK3CA mutations as targets for combination therapy
Zammataro L, Lopez S, Bellone S, Pettinella F, Bonazzoli E, Perrone E, Zhao S, Menderes G, Altwerger G, Han C, Zeybek B, Bianchi A, Manzano A, Manara P, Cocco E, Buza N, Hui P, Wong S, Ravaggi A, Bignotti E, Romani C, Todeschini P, Zanotti L, Odicino F, Pecorelli S, Donzelli C, Ardighieri L, Angioli R, Raspagliesi F, Scambia G, Choi J, Dong W, Bilguvar K, Alexandrov LB, Silasi DA, Huang GS, Ratner E, Azodi M, Schwartz PE, Pirazzoli V, Stiegler AL, Boggon TJ, Lifton RP, Schlessinger J, Santin AD. Whole-exome sequencing of cervical carcinomas identifies activating ERBB2 and PIK3CA mutations as targets for combination therapy. Proceedings Of The National Academy Of Sciences Of The United States Of America 2019, 116: 22730-22736. PMID: 31624127, PMCID: PMC6842590, DOI: 10.1073/pnas.1911385116.Peer-Reviewed Original ResearchConceptsPI3K/AKT/mTOR pathwaySquamous cell carcinomaWhole-exome sequencingAKT/mTOR pathwayPrimary cervical cancer cell linesPIK3CA inhibitorsRecurrent cervical cancer patientsMTOR pathwayCombination of copanlisibCervical cancer patientsPI3K/Akt/mTORCervical cancer xenograftsRegression of tumorsCervical cancer cell linesCervical tumor cell linesSingle nucleotide variantsWild-type tumorsRecurrent somatic missense mutationsAkt/mTORCell linesPan-HERCancer cell linesTypes 16/18Cervical cancerCancer patients