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179 results on '"Thomas, Nancy"'

1. Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & Melanoma

Author

Cui, Yi, Li, Yao, Miedema, Jayson R., Edmiston, Sharon N., Farag, Sherif, Marron, J. S., and Thomas, Nancy E.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Quantitative Methods
Abstract

Automated region of interest detection in histopathological image analysis is a challenging and important topic with tremendous potential impact on clinical practice. The deep-learning methods used in computational pathology may help us to reduce costs and increase the speed and accuracy of cancer diagnosis. We started with the UNC Melanocytic Tumor Dataset cohort that contains 160 hematoxylin and eosin whole-slide images of primary melanomas (86) and nevi (74). We randomly assigned 80% (134) as a training set and built an in-house deep-learning method to allow for classification, at the slide level, of nevi and melanomas. The proposed method performed well on the other 20% (26) test dataset; the accuracy of the slide classification task was 92.3% and our model also performed well in terms of predicting the region of interest annotated by the pathologists, showing excellent performance of our model on melanocytic skin tumors. Even though we tested the experiments on the skin tumor dataset, our work could also be extended to other medical image detection problems to benefit the clinical evaluation and diagnosis of different tumors., Comment: 5 figures, NeurIPS 2022 Workshop

Published
2024

2. Association of functional, inherited vitamin D-binding protein variants with melanoma-specific death.

Author

Gallagher, Richard, Zanetti, Roberto, Rosso, Stefano, Sacchetto, Lidia, Edmiston, Sharon, Conway, Kathleen, Ollila, David, Begg, Colin, Berwick, Marianne, Ward, Sarah, Orlow, Irene, Gibbs, David, Thomas, Nancy, Kanetsky, Peter, Luo, Li, Busam, Klaus, Cust, Anne, and Anton-Culver, Hoda

Subjects
Humans, Vitamin D-Binding Protein, Vitamin D, Polymorphism, Single Nucleotide, Melanoma
Abstract

BACKGROUND: It is unclear whether genetic variants affecting vitamin D metabolism are associated with melanoma prognosis. Two functional missense variants in the vitamin D-binding protein gene (GC), rs7041 and rs4588, determine 3 common haplotypes, Gc1s, Gc1f, and Gc2, of which Gc1f may be associated with decreased all-cause death among melanoma patients based on results of a prior study, but the association of Gc1f with melanoma-specific death is unclear. METHODS: We investigated the association of the Gc1s, Gc1f, and Gc2 haplotypes with melanoma-specific and all-cause death among 4490 individuals with incident, invasive primary melanoma in 2 population-based studies using multivariable Cox-proportional hazards regression. RESULTS: In the pooled analysis of both datasets, the patients with the Gc1f haplotype had a 37% lower risk of melanoma-specific death than the patients without Gc1f (hazard ratio [HR] = 0.63, 95% confidence interval [CI] = 0.47 to 0.83, P = .001), with adjustments for age, sex, study center, first- or higher-order primary melanoma, tumor site, pigmentary phenotypes, and Breslow thickness. Associations were similar in both studies. In pooled analyses stratified by Breslow thickness, the corresponding melanoma-specific death HRs for those patients with the Gc1f haplotype compared with those without Gc1f were 0.89 (95% CI = 0.63 to 1.27) among participants with tumor Breslow thickness equal to or less than 2.0 mm and 0.40 (95% CI = 0.25 to 0.63) among participants with tumor Breslow thickness greater than 2.0 mm (Pinteraction = .003). CONCLUSIONS: Our findings suggest that individuals with the GC haplotype Gc1f may have a lower risk of dying from melanoma-specifically from thicker, higher-risk melanoma-than individuals without this Gc1f haplotype.

Published
2023

6. Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images

Author

Cui, Yi, Li, Yao, Miedema, Jayson R., Farag, Sherif, Marron, J. S., and Thomas, Nancy E.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics, Computer Science - Machine Learning
Abstract

Automated region of interest detection in histopathological image analysis is a challenging and important topic with tremendous potential impact on clinical practice. The deep-learning methods used in computational pathology help us to reduce costs and increase the speed and accuracy of regions of interest detection and cancer diagnosis. In this work, we propose a patch-based region of interest detection method for melanocytic skin tumor whole-slide images. We work with a dataset that contains 165 primary melanomas and nevi Hematoxylin and Eosin whole-slide images and build a deep-learning method. The proposed method performs well on a hold-out test data set including five TCGA-SKCM slides (accuracy of 93.94\% in slide classification task and intersection over union rate of 41.27\% in the region of interest detection task), showing the outstanding performance of our model on melanocytic skin tumor. Even though we test the experiments on the skin tumor dataset, our work could also be extended to other medical image detection problems, such as various tumors' classification and prediction, to help and benefit the clinical evaluation and diagnosis of different tumors., Comment: Accepted to MedNeurIPS 2022

Published
2022

7. Sex-Specific Associations of MDM2 and MDM4 Variants with Risk of Multiple Primary Melanomas and Melanoma Survival in Non-Hispanic Whites

Author

Ward, Sarah V, Autuori, Isidora, Luo, Li, LaPilla, Emily, Yoo, Sarah, Sharma, Ajay, Busam, Klaus J, Olilla, David W, Dwyer, Terence, Anton-Culver, Hoda, Zanetti, Roberto, Sacchetto, Lidia, Cust, Anne E, Gallagher, Richard P, Kanetsky, Peter A, Rosso, Stefano, Begg, Colin B, Berwick, Marianne, Thomas, Nancy E, and Orlow, Irene

Subjects
Genetics, Cancer, Prevention, MDM2, MDM4, melanoma, gene, polymorphism, risk, survival, sex, functional, estrogen-receptor, GEM Study Group, Oncology and Carcinogenesis
Abstract

MDM2-SNP309 (rs2279744), a common genetic modifier of cancer incidence in Li-Fraumeni syndrome, modifies risk, age of onset, or prognosis in a variety of cancers. Melanoma incidence and outcomes vary by sex, and although SNP309 exerts an effect on the estrogen receptor, no consensus exists on its effect on melanoma. MDM2 and MDM4 restrain p53-mediated tumor suppression, independently or together. We investigated SNP309, an a priori MDM4-rs4245739, and two coinherited variants, in a population-based cohort of 3663 primary incident melanomas. Per-allele and per-haplotype (MDM2_SNP309-SNP285; MDM4_rs4245739-rs1563828) odds ratios (OR) for multiple-melanoma were estimated with logistic regression models. Hazard ratios (HR) for melanoma death were estimated with Cox proportional hazards models. In analyses adjusted for covariates, females carrying MDM4-rs4245739*C were more likely to develop multiple melanomas (ORper-allele = 1.25, 95% CI 1.03-1.51, and Ptrend = 0.03), while MDM2-rs2279744*G was inversely associated with melanoma-death (HRper-allele = 0.63, 95% CI 0.42-0.95, and Ptrend = 0.03). We identified 16 coinherited expression quantitative loci that control the expression of MDM2, MDM4, and other genes in the skin, brain, and lungs. Our results suggest that MDM4/MDM2 variants are associated with the development of subsequent primaries and with the death of melanoma in a sex-dependent manner. Further investigations of the complex MDM2/MDM4 motif, and its contribution to the tumor microenvironment and observed associations, are warranted.

Published
2023

10. Disease-Associated Risk Variants in ANRIL Are Associated with Tumor-Infiltrating Lymphocyte Presence in Primary Melanomas in the Population-Based GEM Study

Author

Davari, Danielle R, Orlow, Irene, Kanetsky, Peter A, Luo, Li, Edmiston, Sharon N, Conway, Kathleen, Parrish, Eloise A, Hao, Honglin, Busam, Klaus J, Sharma, Ajay, Kricker, Anne, Cust, Anne E, Anton-Culver, Hoda, Gruber, Stephen B, Gallagher, Richard P, Zanetti, Roberto, Rosso, Stefano, Sacchetto, Lidia, Dwyer, Terence, Ollila, David W, Begg, Colin B, Berwick, Marianne, Thomas, Nancy E, and Group, on behalf of the GEM Study

Subjects
Clinical Research, Human Genome, Cardiovascular, Cancer, Genetics, Diabetes, Heart Disease, Heart Disease - Coronary Heart Disease, Aged, Cyclin-Dependent Kinase Inhibitor p15, Female, GTP Phosphohydrolases, Genome-Wide Association Study, Humans, Lymphocytes, Tumor-Infiltrating, Male, Melanoma, Membrane Proteins, Middle Aged, Mutation, Proto-Oncogene Proteins B-raf, Skin Neoplasms, coronary artery disease, coronary artery calci fi cation, myocardial, GEM Study Group, Medical and Health Sciences, Epidemiology
Abstract

BackgroundGenome-wide association studies have reported that genetic variation at ANRIL (CDKN2B-AS1) is associated with risk of several chronic diseases including coronary artery disease, coronary artery calcification, myocardial infarction, and type 2 diabetes mellitus. ANRIL is located at the CDKN2A/B locus, which encodes multiple melanoma tumor suppressors. We investigated the association of these variants with melanoma prognostic characteristics.MethodsThe Genes, Environment, and Melanoma Study enrolled 3,285 European origin participants with incident invasive primary melanoma. For each of ten disease-associated SNPs at or near ANRIL, we used linear and logistic regression modeling to estimate, respectively, the per allele mean changes in log of Breslow thickness and ORs for presence of ulceration and tumor-infiltrating lymphocytes (TIL). We also assessed effect modification by tumor NRAS/BRAF mutational status.ResultsRs518394, rs10965215, and rs564398 passed false discovery and were each associated (P ≤ 0.005) with TILs, although only rs564398 was independently associated (P = 0.0005) with TILs. Stratified by NRAS/BRAF mutational status, rs564398*A was significantly positively associated with TILs among NRAS/BRAF mutant, but not wild-type, cases. We did not find SNP associations with Breslow thickness or ulceration.ConclusionsANRIL rs564398 was associated with TIL presence in primary melanomas, and this association may be limited to NRAS/BRAF-mutant cases.ImpactPathways related to ANRIL variants warrant exploration in relationship to TILs in melanoma, especially given the impact of TILs on immunotherapy and survival.

Published
2021

16. Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images—Nevus and Melanoma.

Author

Cui, Yi, Li, Yao, Miedema, Jayson R., Edmiston, Sharon N., Farag, Sherif W., Marron, James Stephen, and Thomas, Nancy E.

Subjects
CLASSIFICATION of photographic slides, MELANOMA diagnosis, COMPUTER-assisted image analysis (Medicine), MELANOMA, DATABASE management, TASK performance, SKIN tumors, RESEARCH funding, NEVUS, STATISTICAL sampling, RESEARCH evaluation, DESCRIPTIVE statistics, DEEP learning, DIGITAL image processing, STAINS & staining (Microscopy)
Abstract

Simple Summary: Detecting key areas in tissue samples is crucial for accurate and timely cancer diagnosis. This study focuses on using advanced deep learning techniques to analyze images of skin tumors, specifically melanoma and nevi. By training our deep learning-based model on a dataset of these images, we aimed to detect key areas in each image and simultaneously classify whether a given image shows melanoma or a benign nevus. Our method achieved an accuracy of 92.3% in classifying the images from a test set, meaning it correctly identified most cases. This approach not only helps in distinguishing between these types of skin tumors but also shows promise for broader applications in diagnosing various cancers, potentially improving clinical outcomes and reducing healthcare costs. Automated region of interest detection in histopathological image analysis is a challenging and important topic with tremendous potential impact on clinical practice. The deep learning methods used in computational pathology may help us to reduce costs and increase the speed and accuracy of cancer diagnosis. We started with the UNC Melanocytic Tumor Dataset cohort which contains 160 hematoxylin and eosin whole slide images of primary melanoma (86) and nevi (74). We randomly assigned 80% (134) as a training set and built an in-house deep learning method to allow for classification, at the slide level, of nevi and melanoma. The proposed method performed well on the other 20% (26) test dataset; the accuracy of the slide classification task was 92.3% and our model also performed well in terms of predicting the region of interest annotated by the pathologists, showing excellent performance of our model on melanocytic skin tumors. Even though we tested the experiments on a skin tumor dataset, our work could also be extended to other medical image detection problems to benefit the clinical evaluation and diagnosis of different tumors. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Citizenship on the Edge: Sex/Gender/Race

Author

Nancy J. Hirschmann, Deborah A. Thomas, Nancy J. Hirschmann, Deborah A. Thomas and Nancy J. Hirschmann, Deborah A. Thomas, Nancy J. Hirschmann, Deborah A. Thomas

Published
2022

22. Genetic Variants Associated With Hidradenitis Suppurativa

Author

Sun, Quan, primary, Broadaway, K. Alaine, additional, Edmiston, Sharon N., additional, Fajgenbaum, Kristen, additional, Miller-Fleming, Tyne, additional, Westerkam, Linnea Lackstrom, additional, Melendez-Gonzalez, Maria, additional, Bui, Helen, additional, Blum, Franklin R., additional, Levitt, Brandt, additional, Lin, Lan, additional, Hao, Honglin, additional, Harris, Kathleen Mullan, additional, Liu, Zhi, additional, Thomas, Nancy E., additional, Cox, Nancy J., additional, Li, Yun, additional, Mohlke, Karen L., additional, and Sayed, Christopher J., additional

Published
2023
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32. Supplementary Table 1 from IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma

Author

Carson, Craig C., primary, Moschos, Stergios J., primary, Edmiston, Sharon N., primary, Darr, David B., primary, Nikolaishvili-Feinberg, Nana, primary, Groben, Pamela A., primary, Zhou, Xin, primary, Kuan, Pei Fen, primary, Pandey, Shaily, primary, Chan, Keefe T., primary, Jordan, Jamie L., primary, Hao, Honglin, primary, Frank, Jill S., primary, Hopkinson, Dennis A., primary, Gibbs, David C., primary, Alldredge, Virginia D., primary, Parrish, Eloise, primary, Hanna, Sara C., primary, Berkowitz, Paula, primary, Rubenstein, David S., primary, Miller, C. Ryan, primary, Bear, James E., primary, Ollila, David W., primary, Sharpless, Norman E., primary, Conway, Kathleen, primary, and Thomas, Nancy E., primary

Published
2023
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33. Data from Inherited Genetic Variants Associated with Occurrence of Multiple Primary Melanoma

Author

Gibbs, David C., primary, Orlow, Irene, primary, Kanetsky, Peter A., primary, Luo, Li, primary, Kricker, Anne, primary, Armstrong, Bruce K., primary, Anton-Culver, Hoda, primary, Gruber, Stephen B., primary, Marrett, Loraine D., primary, Gallagher, Richard P., primary, Zanetti, Roberto, primary, Rosso, Stefano, primary, Dwyer, Terence, primary, Sharma, Ajay, primary, La Pilla, Emily, primary, From, Lynn, primary, Busam, Klaus J., primary, Cust, Anne E., primary, Ollila, David W., primary, Begg, Colin B., primary, Berwick, Marianne, primary, and Thomas, Nancy E., primary

Published
2023
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34. Table S2 from Inherited Genetic Variants Associated with Occurrence of Multiple Primary Melanoma

Author

Gibbs, David C., primary, Orlow, Irene, primary, Kanetsky, Peter A., primary, Luo, Li, primary, Kricker, Anne, primary, Armstrong, Bruce K., primary, Anton-Culver, Hoda, primary, Gruber, Stephen B., primary, Marrett, Loraine D., primary, Gallagher, Richard P., primary, Zanetti, Roberto, primary, Rosso, Stefano, primary, Dwyer, Terence, primary, Sharma, Ajay, primary, La Pilla, Emily, primary, From, Lynn, primary, Busam, Klaus J., primary, Cust, Anne E., primary, Ollila, David W., primary, Begg, Colin B., primary, Berwick, Marianne, primary, and Thomas, Nancy E., primary

Published
2023
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35. Data from Sun Exposure and Melanoma Survival: A GEM Study

Author

Berwick, Marianne, primary, Reiner, Anne S., primary, Paine, Susan, primary, Armstrong, Bruce K., primary, Kricker, Anne, primary, Goumas, Chris, primary, Cust, Anne E., primary, Thomas, Nancy E., primary, Groben, Pamela A., primary, From, Lynn, primary, Busam, Klaus, primary, Orlow, Irene, primary, Marrett, Loraine D., primary, Gallagher, Richard P., primary, Gruber, Stephen B., primary, Anton-Culver, Hoda, primary, Rosso, Stefano, primary, Zanetti, Roberto, primary, Kanetsky, Peter A., primary, Dwyer, Terry, primary, Venn, Alison, primary, Lee-Taylor, Julia, primary, and Begg, Colin B., primary

Published
2023
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36. Data Supplement from Sun Exposure and Melanoma Survival: A GEM Study

Author

Berwick, Marianne, primary, Reiner, Anne S., primary, Paine, Susan, primary, Armstrong, Bruce K., primary, Kricker, Anne, primary, Goumas, Chris, primary, Cust, Anne E., primary, Thomas, Nancy E., primary, Groben, Pamela A., primary, From, Lynn, primary, Busam, Klaus, primary, Orlow, Irene, primary, Marrett, Loraine D., primary, Gallagher, Richard P., primary, Gruber, Stephen B., primary, Anton-Culver, Hoda, primary, Rosso, Stefano, primary, Zanetti, Roberto, primary, Kanetsky, Peter A., primary, Dwyer, Terry, primary, Venn, Alison, primary, Lee-Taylor, Julia, primary, and Begg, Colin B., primary

Published
2023
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37. Supplementary Figure 2 from IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma

Author

Carson, Craig C., primary, Moschos, Stergios J., primary, Edmiston, Sharon N., primary, Darr, David B., primary, Nikolaishvili-Feinberg, Nana, primary, Groben, Pamela A., primary, Zhou, Xin, primary, Kuan, Pei Fen, primary, Pandey, Shaily, primary, Chan, Keefe T., primary, Jordan, Jamie L., primary, Hao, Honglin, primary, Frank, Jill S., primary, Hopkinson, Dennis A., primary, Gibbs, David C., primary, Alldredge, Virginia D., primary, Parrish, Eloise, primary, Hanna, Sara C., primary, Berkowitz, Paula, primary, Rubenstein, David S., primary, Miller, C. Ryan, primary, Bear, James E., primary, Ollila, David W., primary, Sharpless, Norman E., primary, Conway, Kathleen, primary, and Thomas, Nancy E., primary

Published
2023
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38. Supplementary Table 6 from IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma

Author

Carson, Craig C., primary, Moschos, Stergios J., primary, Edmiston, Sharon N., primary, Darr, David B., primary, Nikolaishvili-Feinberg, Nana, primary, Groben, Pamela A., primary, Zhou, Xin, primary, Kuan, Pei Fen, primary, Pandey, Shaily, primary, Chan, Keefe T., primary, Jordan, Jamie L., primary, Hao, Honglin, primary, Frank, Jill S., primary, Hopkinson, Dennis A., primary, Gibbs, David C., primary, Alldredge, Virginia D., primary, Parrish, Eloise, primary, Hanna, Sara C., primary, Berkowitz, Paula, primary, Rubenstein, David S., primary, Miller, C. Ryan, primary, Bear, James E., primary, Ollila, David W., primary, Sharpless, Norman E., primary, Conway, Kathleen, primary, and Thomas, Nancy E., primary

Published
2023
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39. Supplementary Table 2 from IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma

Author

Carson, Craig C., primary, Moschos, Stergios J., primary, Edmiston, Sharon N., primary, Darr, David B., primary, Nikolaishvili-Feinberg, Nana, primary, Groben, Pamela A., primary, Zhou, Xin, primary, Kuan, Pei Fen, primary, Pandey, Shaily, primary, Chan, Keefe T., primary, Jordan, Jamie L., primary, Hao, Honglin, primary, Frank, Jill S., primary, Hopkinson, Dennis A., primary, Gibbs, David C., primary, Alldredge, Virginia D., primary, Parrish, Eloise, primary, Hanna, Sara C., primary, Berkowitz, Paula, primary, Rubenstein, David S., primary, Miller, C. Ryan, primary, Bear, James E., primary, Ollila, David W., primary, Sharpless, Norman E., primary, Conway, Kathleen, primary, and Thomas, Nancy E., primary

Published
2023
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40. Supplementary Tables 3 and 4 from IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma

Author

Carson, Craig C., primary, Moschos, Stergios J., primary, Edmiston, Sharon N., primary, Darr, David B., primary, Nikolaishvili-Feinberg, Nana, primary, Groben, Pamela A., primary, Zhou, Xin, primary, Kuan, Pei Fen, primary, Pandey, Shaily, primary, Chan, Keefe T., primary, Jordan, Jamie L., primary, Hao, Honglin, primary, Frank, Jill S., primary, Hopkinson, Dennis A., primary, Gibbs, David C., primary, Alldredge, Virginia D., primary, Parrish, Eloise, primary, Hanna, Sara C., primary, Berkowitz, Paula, primary, Rubenstein, David S., primary, Miller, C. Ryan, primary, Bear, James E., primary, Ollila, David W., primary, Sharpless, Norman E., primary, Conway, Kathleen, primary, and Thomas, Nancy E., primary

Published
2023
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41. Supplementary Figure 1 from IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma

Author

Carson, Craig C., primary, Moschos, Stergios J., primary, Edmiston, Sharon N., primary, Darr, David B., primary, Nikolaishvili-Feinberg, Nana, primary, Groben, Pamela A., primary, Zhou, Xin, primary, Kuan, Pei Fen, primary, Pandey, Shaily, primary, Chan, Keefe T., primary, Jordan, Jamie L., primary, Hao, Honglin, primary, Frank, Jill S., primary, Hopkinson, Dennis A., primary, Gibbs, David C., primary, Alldredge, Virginia D., primary, Parrish, Eloise, primary, Hanna, Sara C., primary, Berkowitz, Paula, primary, Rubenstein, David S., primary, Miller, C. Ryan, primary, Bear, James E., primary, Ollila, David W., primary, Sharpless, Norman E., primary, Conway, Kathleen, primary, and Thomas, Nancy E., primary

Published
2023
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42. Supplementary Table 5 from IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma

Author

Carson, Craig C., primary, Moschos, Stergios J., primary, Edmiston, Sharon N., primary, Darr, David B., primary, Nikolaishvili-Feinberg, Nana, primary, Groben, Pamela A., primary, Zhou, Xin, primary, Kuan, Pei Fen, primary, Pandey, Shaily, primary, Chan, Keefe T., primary, Jordan, Jamie L., primary, Hao, Honglin, primary, Frank, Jill S., primary, Hopkinson, Dennis A., primary, Gibbs, David C., primary, Alldredge, Virginia D., primary, Parrish, Eloise, primary, Hanna, Sara C., primary, Berkowitz, Paula, primary, Rubenstein, David S., primary, Miller, C. Ryan, primary, Bear, James E., primary, Ollila, David W., primary, Sharpless, Norman E., primary, Conway, Kathleen, primary, and Thomas, Nancy E., primary

Published
2023
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43. Supplementary Figure legends from IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma

Author

Carson, Craig C., primary, Moschos, Stergios J., primary, Edmiston, Sharon N., primary, Darr, David B., primary, Nikolaishvili-Feinberg, Nana, primary, Groben, Pamela A., primary, Zhou, Xin, primary, Kuan, Pei Fen, primary, Pandey, Shaily, primary, Chan, Keefe T., primary, Jordan, Jamie L., primary, Hao, Honglin, primary, Frank, Jill S., primary, Hopkinson, Dennis A., primary, Gibbs, David C., primary, Alldredge, Virginia D., primary, Parrish, Eloise, primary, Hanna, Sara C., primary, Berkowitz, Paula, primary, Rubenstein, David S., primary, Miller, C. Ryan, primary, Bear, James E., primary, Ollila, David W., primary, Sharpless, Norman E., primary, Conway, Kathleen, primary, and Thomas, Nancy E., primary

Published
2023
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44. Data from Lack of Extracellular Signal-Regulated Kinase Mitogen-Activated Protein Kinase Signaling Shows a New Type of Melanoma

Author

Shields, Janiel M., primary, Thomas, Nancy E., primary, Cregger, Melissa, primary, Berger, Aaron J., primary, Leslie, Michael, primary, Torrice, Chad, primary, Hao, Honglin, primary, Penland, Shannon, primary, Arbiser, Jack, primary, Scott, Glynis, primary, Zhou, Tong, primary, Bar-Eli, Menashe, primary, Bear, James E., primary, Der, Channing J., primary, Kaufmann, William K., primary, Rimm, David L., primary, and Sharpless, Norman E., primary

Published
2023
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45. Supplementary Table 2 from Lack of Extracellular Signal-Regulated Kinase Mitogen-Activated Protein Kinase Signaling Shows a New Type of Melanoma

Author

Shields, Janiel M., primary, Thomas, Nancy E., primary, Cregger, Melissa, primary, Berger, Aaron J., primary, Leslie, Michael, primary, Torrice, Chad, primary, Hao, Honglin, primary, Penland, Shannon, primary, Arbiser, Jack, primary, Scott, Glynis, primary, Zhou, Tong, primary, Bar-Eli, Menashe, primary, Bear, James E., primary, Der, Channing J., primary, Kaufmann, William K., primary, Rimm, David L., primary, and Sharpless, Norman E., primary

Published
2023
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46. Supplementary Legends from Lack of Extracellular Signal-Regulated Kinase Mitogen-Activated Protein Kinase Signaling Shows a New Type of Melanoma

Author

Shields, Janiel M., primary, Thomas, Nancy E., primary, Cregger, Melissa, primary, Berger, Aaron J., primary, Leslie, Michael, primary, Torrice, Chad, primary, Hao, Honglin, primary, Penland, Shannon, primary, Arbiser, Jack, primary, Scott, Glynis, primary, Zhou, Tong, primary, Bar-Eli, Menashe, primary, Bear, James E., primary, Der, Channing J., primary, Kaufmann, William K., primary, Rimm, David L., primary, and Sharpless, Norman E., primary

Published
2023
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47. Supplementary Methods from Lack of Extracellular Signal-Regulated Kinase Mitogen-Activated Protein Kinase Signaling Shows a New Type of Melanoma

Author

Shields, Janiel M., primary, Thomas, Nancy E., primary, Cregger, Melissa, primary, Berger, Aaron J., primary, Leslie, Michael, primary, Torrice, Chad, primary, Hao, Honglin, primary, Penland, Shannon, primary, Arbiser, Jack, primary, Scott, Glynis, primary, Zhou, Tong, primary, Bar-Eli, Menashe, primary, Bear, James E., primary, Der, Channing J., primary, Kaufmann, William K., primary, Rimm, David L., primary, and Sharpless, Norman E., primary

Published
2023
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48. Supplementary Figures 1-2, Tables 1 and 3-7 from Lack of Extracellular Signal-Regulated Kinase Mitogen-Activated Protein Kinase Signaling Shows a New Type of Melanoma

Author

Shields, Janiel M., primary, Thomas, Nancy E., primary, Cregger, Melissa, primary, Berger, Aaron J., primary, Leslie, Michael, primary, Torrice, Chad, primary, Hao, Honglin, primary, Penland, Shannon, primary, Arbiser, Jack, primary, Scott, Glynis, primary, Zhou, Tong, primary, Bar-Eli, Menashe, primary, Bear, James E., primary, Der, Channing J., primary, Kaufmann, William K., primary, Rimm, David L., primary, and Sharpless, Norman E., primary

Published
2023
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49. Methylation of nonessential genes in cutaneous melanoma – Rule Out hypothesis

Author

Gorlov, Ivan P., primary, Conway, Kathleen, additional, Edmiston, Sharon N., additional, Parrish, Eloise A., additional, Hao, Honglin, additional, Amos, Christopher I., additional, Tsavachidis, Spiridon, additional, Gorlova, Olga Y, additional, Begg, Colin, additional, Hernando, Eva, additional, Cheng, Chao, additional, Shen, Ronglai, additional, Orlow, Irene, additional, Luo, Li, additional, Ernstoff, Marc S., additional, Kuan, Pei Fen, additional, Ollila, David W., additional, Tsai, Yihsuan S., additional, Berwick, Marianne, additional, and Thomas, Nancy E., additional

Published
2023
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50. A Big Rule For Small Business Financing Providers: CFPB Issues Final Small Business Data Collection Rule

Author

Thomas, Nancy

Subjects
Small business -- Laws, regulations and rules, Corporations -- Finance, Data entry -- Laws, regulations and rules, Government regulation, Small business, SOHO, Business, international
Abstract

On March 30, 2023, the Consumer Financial Protection Bureau ('CFPB' or 'Bureau') issued its long-awaited small business lending data collection final rule ('Final Rule'). The Final Rule implements Section 1071 [...]

Published
2023

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