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 ResearchMeSH KeywordsAdenocarcinomaAfatinibCarcinoma, NeuroendocrineClass I Phosphatidylinositol 3-KinasesDNA Mutational AnalysisFemaleHumansMutationNeuroendocrine TumorsPhosphatidylinositol 3-KinasesPhylogenyUterine Cervical NeoplasmsConceptsWhole-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
2018
Mutational landscape of primary, metastatic, and recurrent ovarian cancer reveals c-MYC gains as potential target for BET inhibitors
Li C, Bonazzoli E, Bellone S, Choi J, Dong W, Menderes G, Altwerger G, Han C, Manzano A, Bianchi A, Pettinella F, Manara P, Lopez S, Yadav G, Riccio F, Zammataro L, Zeybek B, Yang-Hartwich Y, Buza N, Hui P, Wong S, Ravaggi A, Bignotti E, Romani C, Todeschini P, Zanotti L, Zizioli V, Odicino F, Pecorelli S, Ardighieri L, Silasi DA, Litkouhi B, Ratner E, Azodi M, Huang GS, Schwartz PE, Lifton RP, Schlessinger J, Santin AD. Mutational landscape of primary, metastatic, and recurrent ovarian cancer reveals c-MYC gains as potential target for BET inhibitors. Proceedings Of The National Academy Of Sciences Of The United States Of America 2018, 116: 619-624. PMID: 30584090, PMCID: PMC6329978, DOI: 10.1073/pnas.1814027116.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntineoplastic AgentsAzepinesBRCA1 ProteinBRCA2 ProteinCell Line, TumorClass I Phosphatidylinositol 3-KinasesFemaleHumansMiceMutationNeoplasm MetastasisNeoplasm Recurrence, LocalOvarian NeoplasmsProteinsProto-Oncogene Proteins c-mycTriazolesTumor Suppressor Protein p53Xenograft Model Antitumor AssaysConceptsOvarian cancerWhole-exome sequencingC-myc amplificationRecurrent tumorsPrimary tumorBET inhibitorsChemotherapy-resistant diseaseRecurrent ovarian cancerLethal gynecologic malignancyBilateral ovarian cancerChemotherapy-resistant tumorsPrimary metastatic tumorsMutational landscapeSomatic mutationsFresh-frozen tumorsGynecologic malignanciesMetastatic tumorsPrimary cell linesC-MYC gainPIK3CA amplificationTranscoelomic metastasisTherapeutic targetPatientsMetastatic abilityTumors