Charles M. Perou
A5062498736- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
- Gene expression and cancer classification
- Advanced Breast Cancer Therapies
- RNA modifications and cancer
- Estrogen and related hormone effects
- Lung Cancer Treatments and Mutations
- Cancer-related Molecular Pathways
- Molecular Biology Techniques and Applications
- Cancer Treatment and Pharmacology
- BRCA gene mutations in cancer
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- Radiomics and Machine Learning in Medical Imaging
- Cancer-related molecular mechanisms research
- Epigenetics and DNA Methylation
- Ferroptosis and cancer prognosis
- Computational Drug Discovery Methods
- Monoclonal and Polyclonal Antibodies Research
- Cancer, Hypoxia, and Metabolism
- Advanced Biosensing Techniques and Applications
- RNA Research and Splicing
University of North Carolina at Chapel Hill
2016-2025
UNC Lineberger Comprehensive Cancer Center
2016-2025
European University Cyprus
2025
Segeberger Kliniken
2011-2024
ARUP Institute for Clinical and Experimental Pathology
2009-2023
University of North Carolina Health Care
2007-2023
The University of Texas Health Science Center at Houston
2023
Mayo Clinic in Florida
2015-2022
Pediatrics and Genetics
2010-2022
Queen's University Belfast
2019
We analysed primary breast cancers by genomic DNA copy number arrays, methylation, exome sequencing, messenger RNA microRNA sequencing and reverse-phase protein arrays. Our ability to integrate information across platforms provided key insights into previously defined gene expression subtypes demonstrated the existence of four main cancer classes when combining data from five platforms, each which shows significant molecular heterogeneity. Somatic mutations in only three genes (TP53, PIK3CA...
The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and correlate tumor characteristics clinical outcome. A total 85 microarray experiments representing 78 cancers, three fibroadenomas, four normal tissues were analyzed by hierarchical clustering. As reported previously, the cancers could be classified into a basal epithelial-like group, an ERBB2 -overexpressing group breast-like expression. novel finding...
Characteristic patterns of gene expression measured by DNA microarrays have been used to classify tumors into clinically relevant subgroups. In this study, we refined the previously defined subtypes breast that could be distinguished their distinct expression. A total 115 malignant were analyzed hierarchical clustering based on 534 "intrinsic" genes and shown subdivide one basal-like, ERBB2-overexpressing, two luminal-like, normal tissue-like subgroup. The for classification selected similar...
We performed an integrated genomic, transcriptomic and proteomic characterization of 373 endometrial carcinomas using array- sequencing-based technologies. Uterine serous tumours ∼25% high-grade endometrioid had extensive copy number alterations, few DNA methylation changes, low oestrogen receptor/progesterone receptor levels, frequent TP53 mutations. Most alterations or mutations, but mutations in PTEN, CTNNB1, PIK3CA, ARID1A KRAS novel the SWI/SNF chromatin remodelling complex gene ARID5B....
Purpose To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developing a risk model that incorporates the gene expression–based “intrinsic” subtypes luminal A, B, HER2-enriched, basal-like. Methods A 50-gene subtype predictor was developed using microarray quantitative reverse transcriptase polymerase chain reaction data from 189 prototype samples. Test sets 761 patients (no systemic therapy) were evaluated prognosis, 133 pathologic complete...
A HETEROGeneous disease composed of a growing number recognized biological subtypes.The prognostic and etiologic importance this diversity is complicated by many factors, including the observation that differences in clinical outcomes often correlate with race.Age-adjusted mortality United States from breast cancer white women 28.3 deaths per 100 000 compared 36.4 African American women. 1 This disparity particularly pronounced among younger than 50 years, whom 77% higher (11.0 vs 6.3...
The Cancer Genome Atlas profiled 279 head and neck squamous cell carcinomas (HNSCCs) to provide a comprehensive landscape of somatic genomic alterations. Here we show that human-papillomavirus-associated tumours are dominated by helical domain mutations the oncogene PIK3CA, novel alterations involving loss TRAF3, amplification cycle gene E2F1. Smoking-related HNSCCs demonstrate near universal loss-of-function TP53 CDKN2A inactivation with frequent copy number including 3q26/28 11q13/22. A...
The 13th St Gallen International Breast Cancer Conference (2013) Expert Panel reviewed and endorsed substantial new evidence on aspects of the local regional therapies for early breast cancer, supporting less extensive surgery to axilla shorter durations radiation therapy. It refined its earlier approach classification management luminal disease in absence amplification or overexpression Human Epidermal growth factor Receptor 2 (HER2) oncogene, while retaining essentially unchanged...
Abstract Purpose: Expression profiling studies classified breast carcinomas into estrogen receptor (ER)+/luminal, normal breast-like, HER2 overexpressing, and basal-like groups, with the latter two associated poor outcomes. Currently, there exist clinical assays that identify ER+/luminal HER2-overexpressing tumors, we sought to develop a assay for tumors. Experimental Design: To an immunohistochemical profile collected series of known tumors tested them protein patterns are characteristic...
Gene expression profiling of breast cancer has identified two biologically distinct estrogen receptor (ER)-positive subtypes cancer: luminal A and B. Luminal B tumors have higher proliferation poorer prognosis than tumors. In this study, we developed a clinically practical immunohistochemistry assay to distinguish from investigated its ability separate according recurrence-free disease-specific survival. Tumors cohort 357 patients with invasive carcinomas were subtyped by gene profile....
Abstract Introduction In breast cancer, gene expression analyses have defined five tumor subtypes (luminal A, luminal B, HER2-enriched, basal-like and claudin-low), each of which has unique biologic prognostic features. Here, we comprehensively characterize the recently identified claudin-low subtype. Methods The clinical, pathological biological features tumors were compared to other using an updated human database multiple independent data sets. These main also evaluated in a panel cancer...
Abstract Purpose: Gene expression analysis identifies several breast cancer subtypes. We examined the relationship of neoadjuvant chemotherapy response to outcome among these Experimental Design: used immunohistochemical profiles [human epidermal growth factor receptor 2–positive (HER2+)/hormone receptor–negative for HER2+/estrogen (ER−), hormone and HER2− basal-like, receptor–positive luminal] subtype a prospectively maintained data set patients with treated anthracycline-based (doxorubicin...
Abstract Purpose: Molecular classification of breast cancer has been proposed based on gene expression profiles human tumors. Luminal, basal-like, normal-like, and erbB2+ subgroups were identified shown to have different prognoses. The goal this research was determine if these molecular subtypes also respond differently preoperative chemotherapy. Experimental Design: Fine needle aspirations 82 cancers obtained before starting paclitaxel followed by 5-fluorouracil, doxorubicin,...
The genome-wide program of gene expression during the cell division cycle in a human cancer line (HeLa) was characterized using cDNA microarrays. Transcripts >850 genes showed periodic variation cycle. Hierarchical clustering patterns revealed coexpressed groups previously well-characterized involved essential processes such as DNA replication, chromosome segregation, and adhesion along with uncharacterized function. Most whose had been reported to correlate proliferative state tumors...
cDNA microarrays and a clustering algorithm were used to identify patterns of gene expression in human mammary epithelial cells growing culture primary breast tumors. Clusters coexpressed genes identified through manipulations vitro also showed consistent variation among tumor samples. By using immunohistochemistry with antibodies against proteins encoded by particular cluster, the identity cell type within specimen that contributed observed pattern could be determined. coherent cultured...