2022
Prognostic Significance of p16 and Its Relationship with Human Papillomavirus Status in Patients with Penile Squamous Cell Carcinoma: Results of 5 Years Follow-Up
Chahoud J, Zacharias N, Pham R, Qiao W, Guo M, Lu X, Alaniz A, Segarra L, Martinez-Ferrer M, Gleber-Netto F, Pickering C, Rao P, Pettaway C. Prognostic Significance of p16 and Its Relationship with Human Papillomavirus Status in Patients with Penile Squamous Cell Carcinoma: Results of 5 Years Follow-Up. Cancers 2022, 14: 6024. PMID: 36551510, PMCID: PMC9775956, DOI: 10.3390/cancers14246024.Peer-Reviewed Original ResearchPenile squamous cell carcinomaCancer-specific survivalSquamous cell carcinomaOverall survivalLymphovascular invasionCell carcinomaMedian cancer-specific survivalHigh-risk human papillomavirusHR-HPV statusMedian overall survivalTumor p16 statusHuman papillomavirus (HPV) statusHigh-risk HPVIndependent prognostic factorSingle-institution analysisClinico-pathologic variablesIHC staining patternSitu hybridization kitHR-HPVHPV statusPatient characteristicsPrognostic factorsSpecific survivalMultivariable analysisPrognostic significance
2018
High-Risk TP53 Mutations Are Associated with Extranodal Extension in Oral Cavity Squamous Cell Carcinoma
Sandulache VC, Michikawa C, Kataria P, Gleber-Netto FO, Bell D, Trivedi S, Rao X, Wang J, Zhao M, Jasser S, Myers JN, Pickering CR. High-Risk TP53 Mutations Are Associated with Extranodal Extension in Oral Cavity Squamous Cell Carcinoma. Clinical Cancer Research 2018, 24: 1727-1733. PMID: 29330202, PMCID: PMC5884733, DOI: 10.1158/1078-0432.ccr-17-0721.Peer-Reviewed Original ResearchConceptsOral cavity squamous cell carcinomaExtranodal extensionPrimary tumorDisease-free survivalPoor prognostic factorProspective clinical trialsSquamous cell carcinomaAggressive biological phenotypeClin Cancer ResHigh-risk mutationsPersonalized treatment decisionsWild-type TP53ENE statusOSCC dataPN0 tumorsCancer Genome AtlasLymph nodesPrognostic factorsClinical outcomesInstitutional cohortCell carcinomaClinical trialsPoor survivalTreatment decisionsTreatment selection