Search

Your search keyword '"Lauren M. Dehan"' showing total 4 results
Start Over Author "Lauren M. Dehan"
4 results on '"Lauren M. Dehan"'

1. Molecular signature incorporating the immune microenvironment enhances thyroid cancer outcome prediction

Author

George J. Xu, Matthew A. Loberg, Jean-Nicolas Gallant, Quanhu Sheng, Sheau-Chiann Chen, Brian D. Lehmann, Sophia M. Shaddy, Megan L. Tigue, Courtney J. Phifer, Li Wang, Mario W. Saab-Chalhoub, Lauren M. Dehan, Qiang Wei, Rui Chen, Bingshan Li, Christine Y. Kim, Donna C. Ferguson, James L. Netterville, Sarah L. Rohde, Carmen C. Solórzano, Lindsay A. Bischoff, Naira Baregamian, Aaron C. Shaver, Mitra Mehrad, Kim A. Ely, Daniel W. Byrne, Thomas P. Stricker, Barbara A. Murphy, Jennifer H. Choe, Luciane T. Kagohara, Elizabeth M. Jaffee, Eric C. Huang, Fei Ye, Ethan Lee, and Vivian L. Weiss

Subjects
aggressive thyroid cancer, cancer-associated fibroblasts, tumor immune microenvironment, next-generation sequencing, molecular biomarkers, anaplastic thyroid carcinoma, Genetics, QH426-470, Internal medicine, RC31-1245
Abstract

Summary: Genomic and transcriptomic analysis has furthered our understanding of many tumors. Yet, thyroid cancer management is largely guided by staging and histology, with few molecular prognostic and treatment biomarkers. Here, we utilize a large cohort of 251 patients with 312 samples from two tertiary medical centers and perform DNA/RNA sequencing, spatial transcriptomics, and multiplex immunofluorescence to identify biomarkers of aggressive thyroid malignancy. We identify high-risk mutations and discover a unique molecular signature of aggressive disease, the Molecular Aggression and Prediction (MAP) score, which provides improved prognostication over high-risk mutations alone. The MAP score is enriched for genes involved in epithelial de-differentiation, cellular division, and the tumor microenvironment. The MAP score also identifies aggressive tumors with lymphocyte-rich stroma that may benefit from immunotherapy. Future clinical profiling of the stromal microenvironment of thyroid cancer could improve prognostication, inform immunotherapy, and support development of novel therapeutics for thyroid cancer and other stroma-rich tumors.

Published
2023
Full Text
View/download PDF

2. Patterns of Major Frozen Section Interpretation Error: An In-Depth Analysis From a Complex Academic Surgical Pathology Practice

Author

Lauren M Dehan, James S Lewis, Mitra Mehrad, and Kim A Ely

Subjects
General Medicine
Abstract

Objectives To establish baseline error rates due to misinterpretation and to identify scenarios in which major errors were most common and potentially preventable. Methods Our database was queried over a 3-year period for major discrepancies due to misinterpretation. These were stratified by histomorphologic setting, service, availability/type of prior material, and years of experience and subspecialization of the interpreting pathologist. Results The overall discordance rate between frozen section (FS) and final diagnoses was 2.9% (199/6,910). Seventy-two errors were due to interpretation, of which 34 (47.2%) were major. Major error rates were highest on the gastrointestinal and thoracic services. Of major discrepancies, 82.4% were rendered in subdisciplines outside those of the FS pathologist. Pathologists with fewer than 10 years’ experience made more errors than those with more experience (55.9% vs 23.5%, P = .006). Major error rates were greater for cases without previous material compared to those with a prior glass slide (47.1% vs 17.6%, P = .009). Common histomorphologic scenarios in which disagreements were made involved discriminating mesothelial cells from carcinoma (20.6%) and accurately recognizing squamous carcinoma/severe dysplasia (17.6%). Conclusions To improve performance and decrease future misdiagnoses, monitoring discordances should be a continuous component of surgical pathology quality assurance programs.

Published
2023

3. PTEN expression and morphological patterns in prostatic adenocarcinoma

Author

Giovanna A. Giannico, Lauren M Dehan, James E Denney, Daniel A. Barocas, Alexander S Maris, Shanna A Arnold Egloff, Jennifer B. Gordetsky, Andrew J. Spieker, and Kristen R. Scarpato

Subjects
Biochemical recurrence, Histology, biology, business.industry, breakpoint cluster region, General Medicine, medicine.disease, Pathology and Forensic Medicine, Prostate cancer, biology.protein, Cancer research, Carcinoma, Cribriform, Medicine, PTEN, Tensin, business, Cribriform Carcinoma
Abstract

AIMS Cribriform morphology, which includes intraductal carcinoma (IDCP) and invasive cribriform carcinoma, is an indicator of poor prognosis in prostate cancer. Phosphatase and tensin homologue (PTEN) loss is a predictor of adverse clinical outcomes. The association between PTEN expression and morphological patterns of prostate cancer is unclear. METHODS AND RESULTS We explored the association between PTEN expression by immunohistochemistry, Gleason pattern 4 morphologies, IDCP and biochemical recurrence (BCR) in 163 radical prostatectomy specimens. IDCP was delineated from invasive cribriform carcinoma by p63 positive immunohistochemical staining in basal cells. Combined invasive cribriform carcinoma and IDCP were associated with a higher cumulative incidence of BCR [hazard ratio (HR) = 5.06; 2.21, 11.6, P

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results