Michele C. Hayward
University of North Carolina at Chapel Hill
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Clinical Cancer Research | 2010
Matthew D. Wilkerson; Xiaoying Yin; Katherine A. Hoadley; Yufeng Liu; Michele C. Hayward; Christopher R. Cabanski; Kenneth L. Muldrew; C. Ryan Miller; Scott H. Randell; Mark A. Socinski; Alden M. Parsons; William K. Funkhouser; Carrie B. Lee; Patrick J. Roberts; Leigh B. Thorne; Philip S. Bernard; Charles M. Perou; D. Neil Hayes
Purpose: Lung squamous cell carcinoma (SCC) is clinically and genetically heterogeneous, and current diagnostic practices do not adequately substratify this heterogeneity. A robust, biologically based SCC subclassification may describe this variability and lead to more precise patient prognosis and management. We sought to determine if SCC mRNA expression subtypes exist, are reproducible across multiple patient cohorts, and are clinically relevant. Experimental Design: Subtypes were detected by unsupervised consensus clustering in five published discovery cohorts of mRNA microarrays, totaling 382 SCC patients. An independent validation cohort of 56 SCC patients was collected and assayed by microarrays. A nearest-centroid subtype predictor was built using discovery cohorts. Validation cohort subtypes were predicted and evaluated for confirmation. Subtype survival outcome, clinical covariates, and biological processes were compared by statistical and bioinformatic methods. Results: Four lung SCC mRNA expression subtypes, named primitive, classical, secretory, and basal, were detected and independently validated (P < 0.001). The primitive subtype had the worst survival outcome (P < 0.05) and is an independent predictor of survival (P < 0.05). Tumor differentiation and patient sex were associated with subtype. The expression profiles of the subtypes contained distinct biological processes (primitive: proliferation; classical: xenobiotic metabolism; secretory: immune response; basal: cell adhesion) and suggested distinct pharmacologic interventions. Comparison with lung model systems revealed distinct subtype to cell type correspondence. Conclusions: Lung SCC consists of four mRNA expression subtypes that have different survival outcomes, patient populations, and biological processes. The subtypes stratify patients for more precise prognosis and targeted research. Clin Cancer Res; 16(19); 4864–75. ©2010 AACR.
PLOS ONE | 2013
Vonn Walter; Xiaoying Yin; Matthew D. Wilkerson; Christopher R. Cabanski; Ni Zhao; Ying Du; Mei Kim Ang; Michele C. Hayward; Ashley H. Salazar; Katherine A. Hoadley; Karen J. Fritchie; Charles Sailey; Mark C. Weissler; William W. Shockley; Adam M. Zanation; Trevor Hackman; Leigh B. Thorne; William D. Funkhouser; Kenneth L. Muldrew; Andrew F. Olshan; Scott H. Randell; Fred A. Wright; Carol G. Shores; D. Neil Hayes
Head and neck squamous cell carcinoma (HNSCC) is a frequently fatal heterogeneous disease. Beyond the role of human papilloma virus (HPV), no validated molecular characterization of the disease has been established. Using an integrated genomic analysis and validation methodology we confirm four molecular classes of HNSCC (basal, mesenchymal, atypical, and classical) consistent with signatures established for squamous carcinoma of the lung, including deregulation of the KEAP1/NFE2L2 oxidative stress pathway, differential utilization of the lineage markers SOX2 and TP63, and preference for the oncogenes PIK3CA and EGFR. For potential clinical use the signatures are complimentary to classification by HPV infection status as well as the putative high risk marker CCND1 copy number gain. A molecular etiology for the subtypes is suggested by statistically significant chromosomal gains and losses and differential cell of origin expression patterns. Model systems representative of each of the four subtypes are also presented.
Clinical Cancer Research | 2012
D. Neil Hayes; Amy Lucas; Tawee Tanvetyanon; Monika K. Krzyzanowska; Christine H. Chung; Barbara A. Murphy; Jill Gilbert; Ranee Mehra; Dominic T. Moore; Arif Sheikh; Janelle M. Hoskins; Michele C. Hayward; Ni Zhao; Wendi O'Connor; Karen E. Weck; Roger B. Cohen; Ezra E.W. Cohen
Purpose: A multicenter, open-label, phase II trial was conducted to evaluate the efficacy, safety, and tolerability of selumetinib in iodine-refractory papillary thyroid cancer (IRPTC). Experimental Design: Patients with advanced IRPTC with or without follicular elements and documented disease progression within the preceding 12 months were eligible to receive selumetinib at a dose of 100 mg twice daily. The primary endpoint was objective response rate using Response Evaluation Criteria in Solid Tumors. Secondary endpoints were safety, overall survival, and progression-free survival (PFS). Tumor genotype including mutations in BRAF, NRAS, and HRAS was assessed. Results: Best responses in 32 evaluable patients out of 39 enrolled were 1 partial response (3%), 21 stable disease (54%), and 11 progressive disease (28%). Disease stability maintenance occurred for 16 weeks in 49%, 24 weeks in 36%. Median PFS was 32 weeks. BRAF V600E mutants (12 of 26 evaluated, 46%) had a longer median PFS compared with patients with BRAF wild-type (WT) tumors (33 versus 11 weeks, respectively, HR = 0.6, not significant, P = 0.3). The most common adverse events and grades 3 to 4 toxicities included rash, fatigue, diarrhea, and peripheral edema. Two pulmonary deaths occurred in the study and were judged unlikely to be related to the study drug. Conclusions: Selumetinib was well tolerated but the study was negative with regard to the primary outcome. Secondary analyses suggest that future studies of selumetinib and other mitogen-activated protein (MAP)/extracellular signal-regulated kinase (ERK; MEK) inhibitors in IRPTC should consider BRAF V600E mutation status in the trial design based on differential trends in outcome. Clin Cancer Res; 18(7); 2056–65. ©2012 AACR.
PLOS ONE | 2012
Matthew D. Wilkerson; Xiaoying Yin; Vonn Walter; Ni Zhao; Christopher R. Cabanski; Michele C. Hayward; C. Ryan Miller; Mark A. Socinski; Alden M. Parsons; Leigh B. Thorne; Benjamin E. Haithcock; Nirmal K. Veeramachaneni; William K. Funkhouser; Scott H. Randell; Philip S. Bernard; Charles M. Perou; D. Neil Hayes
Background Lung adenocarcinoma (LAD) has extreme genetic variation among patients, which is currently not well understood, limiting progress in therapy development and research. LAD intrinsic molecular subtypes are a validated stratification of naturally-occurring gene expression patterns and encompass different functional pathways and patient outcomes. Patients may have incurred different mutations and alterations that led to the different subtypes. We hypothesized that the LAD molecular subtypes co-occur with distinct mutations and alterations in patient tumors. Methodology/Principal Findings The LAD molecular subtypes (Bronchioid, Magnoid, and Squamoid) were tested for association with gene mutations and DNA copy number alterations using statistical methods and published cohorts (n = 504). A novel validation (n = 116) cohort was assayed and interrogated to confirm subtype-alteration associations. Gene mutation rates (EGFR, KRAS, STK11, TP53), chromosomal instability, regional copy number, and genomewide DNA methylation were significantly different among tumors of the molecular subtypes. Secondary analyses compared subtypes by integrated alterations and patient outcomes. Tumors having integrated alterations in the same gene associated with the subtypes, e.g. mutation, deletion and underexpression of STK11 with Magnoid, and mutation, amplification, and overexpression of EGFR with Bronchioid. The subtypes also associated with tumors having concurrent mutant genes, such as KRAS-STK11 with Magnoid. Patient overall survival, cisplatin plus vinorelbine therapy response and predicted gefitinib sensitivity were significantly different among the subtypes. Conclusions/ Significance The lung adenocarcinoma intrinsic molecular subtypes co-occur with grossly distinct genomic alterations and with patient therapy response. These results advance the understanding of lung adenocarcinoma etiology and nominate patient subgroups for future evaluation of treatment response.
Nature | 2016
Filippos Kottakis; Brandon N. Nicolay; Ahlima Roumane; Rahul Karnik; Hongcang Gu; Julia M. Nagle; Myriam Boukhali; Michele C. Hayward; Yvonne Y. Li; Ting Chen; Marc Liesa; Peter S. Hammerman; Kwok-Kin Wong; D. Neil Hayes; Orian S. Shirihai; Nicholas J. Dyson; Wilhelm Haas; Alexander Meissner; Nabeel Bardeesy
Intermediary metabolism generates substrates for chromatin modification, enabling the potential coupling of metabolic and epigenetic states. Here we identify a network linking metabolic and epigenetic alterations that is central to oncogenic transformation downstream of the liver kinase B1 (LKB1, also known as STK11) tumour suppressor, an integrator of nutrient availability, metabolism and growth. By developing genetically engineered mouse models and primary pancreatic epithelial cells, and employing transcriptional, proteomics, and metabolic analyses, we find that oncogenic cooperation between LKB1 loss and KRAS activation is fuelled by pronounced mTOR-dependent induction of the serine–glycine–one-carbon pathway coupled to S-adenosylmethionine generation. At the same time, DNA methyltransferases are upregulated, leading to elevation in DNA methylation with particular enrichment at retrotransposon elements associated with their transcriptional silencing. Correspondingly, LKB1 deficiency sensitizes cells and tumours to inhibition of serine biosynthesis and DNA methylation. Thus, we define a hypermetabolic state that incites changes in the epigenetic landscape to support tumorigenic growth of LKB1-mutant cells, while resulting in potential therapeutic vulnerabilities.
Archives of Pathology & Laboratory Medicine | 2013
Juneko E. Grilley-Olson; D. Neil Hayes; Dominic T. Moore; Kevin O. Leslie; Matthew D. Wilkerson; Bahjat F. Qaqish; Michele C. Hayward; Christopher R. Cabanski; Xiaoying Yin; Mark A. Socinski; Thomas E. Stinchcombe; Leigh B. Thorne; Timothy Craig Allen; Peter M. Banks; Mary Beth Beasley; Alain C. Borczuk; Philip T. Cagle; Rebecca Christensen; Thomas V. Colby; Georgean G. Deblois; Göran Elmberger; Paolo Graziano; Craig F. Hart; Kirk D. Jones; Diane M. Maia; C. Ryan Miller; Keith V. Nance; William D. Travis; William K. Funkhouser
CONTEXT Precise subtype diagnosis of non-small cell lung carcinoma is increasingly relevant, based on the availability of subtype-specific therapies, such as bevacizumab and pemetrexed, and based on the subtype-specific prevalence of activating epidermal growth factor receptor mutations. OBJECTIVES To establish a baseline measure of interobserver reproducibility for non-small cell lung carcinoma diagnoses with hematoxylin-eosin for the current 2004 World Health Organization classification, to estimate interobserver reproducibility for the therapeutically relevant squamous/nonsquamous subsets, and to examine characteristics that improve interobserver reproducibility. DESIGN Primary, resected lung cancer specimens were converted to digital (virtual) slides. Based on a single hematoxylin-eosin virtual slide, pathologists were asked to assign a diagnosis using the 2004 World Health Organization classification. Kappa statistics were calculated for each pathologist-pair for each slide and were summarized by classification scheme, pulmonary pathology expertise, diagnostic confidence, and neoplastic grade. RESULTS The 12 pulmonary pathology experts and the 12 community pathologists each independently diagnosed 48 to 96 single hematoxylin-eosin digital slides derived from 96 cases of non-small cell lung carcinoma resection. Overall agreement improved with simplification from the comprehensive 44 World Health Organization diagnoses (κ = 0.25) to their 10 major header subtypes (κ = 0.48) and improved again with simplification into the therapeutically relevant squamous/nonsquamous dichotomy (κ = 0.55). Multivariate analysis showed that higher diagnostic agreement was associated with better differentiation, better slide quality, higher diagnostic confidence, similar years of pathology experience, and pulmonary pathology expertise. CONCLUSIONS These data define the baseline diagnostic agreement for hematoxylin-eosin diagnosis of non-small cell lung carcinoma, allowing future studies to test for improved diagnostic agreement with reflex ancillary tests.
Clinical Cancer Research | 2011
Mei-Kim Ang; Mihir R. Patel; Xiaoying Yin; Sneha Sundaram; Karen J. Fritchie; Ni Zhao; Yufeng Liu; Alex J. Freemerman; Matthew D. Wilkerson; Vonn Walter; Mark C. Weissler; William W. Shockley; Marion E. Couch; Adam M. Zanation; Trevor Hackman; Bhishamjit S. Chera; Stephen L. Harris; C. Ryan Miller; Leigh B. Thorne; Michele C. Hayward; William K. Funkhouser; Andrew F. Olshan; Carol G. Shores; Liza Makowski; D. Neil Hayes
Purpose: We evaluated X-ray repair complementing defective repair in Chinese hamster cells 1 (XRCC1) protein in head and neck squamous cell carcinoma (HNSCC) patients in association with outcome. Experimental Design: XRCC1 protein expression was assessed by immunohistochemical (IHC) staining of pretreatment tissue samples in 138 consecutive HNSCC patients treated with surgery (n = 31), radiation (15), surgery and radiation (23), surgery and adjuvant chemoradiation (17), primary chemoradiation (51), and palliative measures (1). Results: Patients with high XRCC1 expression by IHC (n = 77) compared with patients with low XRCC1 expression (n = 60) had poorer median overall survival (OS; 41.0 months vs. OS not reached, P = 0.009) and poorer progression-free survival (28.0 months vs. 73.0 months, P = 0.031). This association was primarily due to patients who received chemoradiation (median OS of high- and low-XRCC1 expression patients, 35.5 months and not reached respectively, HR 3.48; 95% CI: 1.44–8.38; P = 0.006). In patients treated with nonchemoradiation modalities, there was no survival difference by XRCC1 expression. In multivariable analysis, high XRCC1 expression and p16INK4a-positive status were independently associated with survival in the overall study population (HR = 2.62; 95% CI: 1.52–4.52; P < 0.001 and HR = 0.21; 95% CI: 0.06–0.71; P = 0.012, respectively) and among chemoradiation patients (HR = 6.02; 95% CI: 2.36–15.37; P < 0.001 and HR = 0.26; 95% CI: 0.08–0.92, respectively; P = 0.037). Conclusions: In HNSCC, high XRCC1 protein expression is associated with poorer survival, particularly in patients receiving chemoradiation. Future validation of these findings may enable identification of HNSCC expressing patients who benefit from chemoradiation treatment. Clin Cancer Res; 17(20); 6542–52. ©2011 AACR.
British Journal of Cancer | 2012
Ni Zhao; Mei-Kim Ang; Xiaoying Yin; Manesh R. Patel; Karen J. Fritchie; Leigh B. Thorne; Kenneth L. Muldrew; Michele C. Hayward; W. Sun; Matthew D. Wilkerson; Bhishamjit S. Chera; Trevor Hackman; Adam M. Zanation; Juneko E. Grilley-Olson; Marion E. Couch; William W. Shockley; Mark C. Weissler; Carol G. Shores; William K. Funkhouser; Andrew F. Olshan; David N. Hayes
Background:Recently, the management of head and neck squamous cell carcinoma (HNSCC) has focused considerable attention on biomarkers, which may influence outcomes. Tests for human papilloma infection, including direct assessment of the virus as well as an associated tumour suppressor gene p16, are considered reproducible. Tumours from familial melanoma syndromes have suggested that nuclear localisation of p16 might have a further role in risk stratification. We hypothesised p16 staining that considered nuclear localisation might be informative for predicting outcomes in a broader set of HNSCC tumours not limited to the oropharynx, human papilloma virus (HPV) status or by smoking status.Methods:Patients treated for HNSCC from 2002 to 2006 at UNC (University of North Carolina at Chapel Hill) hospitals that had banked tissue available were eligible for this study. Tissue microarrays (TMA) were generated in triplicate. Immunohistochemical (IHC) staining for p16 was performed and scored separately for nuclear and cytoplasmic staining. Human papilloma virus staining was also carried out using monoclonal antibody E6H4. p16 expression, HPV status and other clinical features were correlated with progression-free (PFS) and overall survival (OS).Results:A total of 135 patients had sufficient sample for this analysis. Median age at diagnosis was 57 years (range 20–82), with 68.9% males, 8.9% never smokers and 32.6% never drinkers. Three-year OS rate and PFS rate was 63.0% and 54.1%, respectively. Based on the p16 staining score, patients were divided into three groups: high nuclear, high cytoplasmic staining group (HN), low nuclear, low cytoplasmic staining group (LS) and high cytoplasmic, low nuclear staining group (HC). The HN and the LS groups had significantly better OS than the HC group with hazard ratios of 0.10 and 0.37, respectively, after controlling for other factors, including HPV status. These two groups also had significantly better PFS than the HC staining group. This finding was consistent for sites outside the oropharynx and did not require adjustment for smoking status.Conclusion:Different p16 protein localisation suggested different survival outcomes in a manner that does not require limiting the biomarker to the oropharynx and does not require assessment of smoking status.
PLOS ONE | 2015
Xiaobei Zhao; Anyou Wang; Vonn Walter; Nirali M. Patel; David A. Eberhard; Michele C. Hayward; Ashley H. Salazar; Heejoon Jo; Matthew G. Soloway; Matthew D. Wilkerson; Joel S. Parker; Xiaoying Yin; Guosheng Zhang; Marni B. Siegel; Gary B. Rosson; H. Shelton Earp; Norman E. Sharpless; Margaret L. Gulley; Karen E. Weck; D. Neil Hayes; Stergios J. Moschos
The recent FDA approval of the MiSeqDx platform provides a unique opportunity to develop targeted next generation sequencing (NGS) panels for human disease, including cancer. We have developed a scalable, targeted panel-based assay termed UNCseq, which involves a NGS panel of over 200 cancer-associated genes and a standardized downstream bioinformatics pipeline for detection of single nucleotide variations (SNV) as well as small insertions and deletions (indel). In addition, we developed a novel algorithm, NGScopy, designed for samples with sparse sequencing coverage to detect large-scale copy number variations (CNV), similar to human SNP Array 6.0 as well as small-scale intragenic CNV. Overall, we applied this assay to 100 snap-frozen lung cancer specimens lacking same-patient germline DNA (07–0120 tissue cohort) and validated our results against Sanger sequencing, SNP Array, and our recently published integrated DNA-seq/RNA-seq assay, UNCqeR, where RNA-seq of same-patient tumor specimens confirmed SNV detected by DNA-seq, if RNA-seq coverage depth was adequate. In addition, we applied the UNCseq assay on an independent lung cancer tumor tissue collection with available same-patient germline DNA (11–1115 tissue cohort) and confirmed mutations using assays performed in a CLIA-certified laboratory. We conclude that UNCseq can identify SNV, indel, and CNV in tumor specimens lacking germline DNA in a cost-efficient fashion.
Lung Cancer | 2014
Ni Zhao; Matthew D. Wilkerson; Usman Shah; Xiaoying Yin; Anyou Wang; Michele C. Hayward; Patrick J. Roberts; Carrie B. Lee; Alden M. Parsons; Leigh B. Thorne; Benjamin E. Haithcock; Juneko E. Grilley-Olson; Thomas E. Stinchcombe; William K. Funkhouser; Kwok-Kin Wong; Norman E. Sharpless; D. Neil Hayes
BACKGROUND Brain metastases are one of the most malignant complications of lung cancer and constitute a significant cause of cancer related morbidity and mortality worldwide. Recent years of investigation suggested a role of LKB1 in NSCLC development and progression, in synergy with KRAS alteration. In this study, we systematically analyzed how LKB1 and KRAS alteration, measured by mutation, gene expression (GE) and copy number (CN), are associated with brain metastasis in NSCLC. MATERIALS AND METHODS Patients treated at University of North Carolina Hospital from 1990 to 2009 with NSCLC provided frozen, surgically extracted tumors for analysis. GE was measured using Agilent 44,000 custom-designed arrays, CN was assessed by Affymetrix GeneChip Human Mapping 250K Sty Array or the Genome-Wide Human SNP Array 6.0 and gene mutation was detected using ABI sequencing. Integrated analysis was conducted to assess the relationship between these genetic markers and brain metastasis. A model was proposed for brain metastasis prediction using these genetic measurements. RESULTS 17 of the 174 patients developed brain metastasis. LKB1 wild type tumors had significantly higher LKB1 CN (p<0.001) and GE (p=0.002) than the LKB1 mutant group. KRAS wild type tumors had significantly lower KRAS GE (p<0.001) and lower CN, although the latter failed to be significant (p=0.295). Lower LKB1 CN (p=0.039) and KRAS mutation (p=0.007) were significantly associated with more brain metastasis. The predictive model based on nodal (N) stage, patient age, LKB1 CN and KRAS mutation had a good prediction accuracy, with area under the ROC curve of 0.832 (p<0.001). CONCLUSION LKB1 CN in combination with KRAS mutation predicted brain metastasis in NSCLC.