PO.BCS01.16 · 生物信息与计算

PRECISE: A prognostic thyroid follicular cell-derived gene signature for papillary thyroid carcinoma

海报缩略图:PRECISE: A prognostic thyroid follicular cell-derived gene signature for papillary thyroid carcinoma
编号 2709 展板 2 时间 4/20 02:00–05:00 区域 Section 2 主讲 Jennifer Wang, MD
分会场 Integration of Clinical and Research Data
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作者与单位

Sophie Li1, Chia C. Wu1, Vicente R. Marczyk1, Matthew A. Loberg2, Aatish Thennavan3, Maxime Tarabichi4, Li Xu1, Ying C. Henderson1, Tuan M. Tran3, Quanhu Sheng5, George J. Xu2, Eric C. Huang6, Marie-Claude Hofmann7, Xiao Zhao1, Stephen Y. Lai1, Michelle D. Williams8, Wenyi Wang9, Sarah Hamidi7, Mark E. Zafereo1, Maria E. Cabanillas7, Nicholas E. Navin3, Vivian L. Weiss2, Jennifer R. Wang1

1Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer, Houston, TX,2Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN,3Department of Systems Biology, The University of Texas MD Anderson Cancer, Houston, TX,4Institute for Interdisciplinary Research (IRIBHM) – Jacques E. Dumont, Université Libre de Bruxelles, Brussels, Belgium,5Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN,6Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA,7Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer, Houston, TX,8Department of Pathology, The University of Texas MD Anderson Cancer, Houston, TX,9Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer, Houston, TX

摘要 Abstract

Purpose: Papillary thyroid carcinoma (PTC) exhibits heterogeneous behavior. There is a need for effective biomarkers and improved risk stratification methods in PTC. Gene signatures derived from bulk RNA sequencing capture composite transcriptional profiles that are confounded by tumor microenvironment cells. We developed a thyroid follicular cell-derived gene signature, P rognostic R NA E xpression C ell-specific I ntegrated S ignaturE (PRECISE), using single-cell and nucleus RNA sequencing techniques and evaluated its prognostic utility across independent cohorts. Experimental Procedures: PRECISE was developed using a discovery cohort of PTC patients (MDACC n=109) with a median follow-up of 14 years. Within the cohort, 11 PTC tumors and 4 normal thyroid samples were successfully sequenced using single-nucleus RNA sequencing. Genes that were significantly downregulated in malignant cells compared to normal thyroid follicular cells were integrated with previously identified differentially expressed genes from single-cell RNA sequencing. Prognostic significance was assessed using bulk RNA sequencing in the discovery cohort and validated in 2 additional cohorts (VUMC n=65; TCGA n=370). A rank-based single-sample method was used for score calculation. Associations between PRECISE score and progression-free (PFS) and disease-specific survival (DSS) were evaluated using multivariate Cox proportional hazards models, and predictive models were compared using Harrell's C-statistic and ANOVA. Results: PRECISE comprised of 41 genes downregulated in PTC tumor cells and upregulated in normal follicular cells, capturing dysregulation of thyroid function and metabolism pathways. Higher PRECISE score was significantly associated with shorter PFS across all 3 cohorts (MDACC HR=1.64, P =0.002; VUMC HR=2.54, P <0.001; TCGA HR=1.63, P =0.012) and remained significant after TNM stage adjustment in two cohorts with ≥5 years follow-up (MDACC aHR=1.42, P =0.038; VUMC aHR=2.12, P =0.024). PRECISE score was also associated with DSS in these cohorts (MDACC HR=4.16, P <0.001; VUMC HR=2.23, P =0.01), independent of TNM stage in the MDACC cohort (aHR=2.83, P =0.015). Incorporating PRECISE significantly improved predictive performance for PFS (MDACC P =0.031; VUMC P =0.024) and DSS (MDACC P =0.008) beyond stage-based models. Conclusions: PRECISE is a thyroid epithelial gene-derived signature with independent prognostic value in PTC.
利益披露 Disclosure
S. Li, None.. C. C. Wu, None.. V. R. Marczyk, None.. M. A. Loberg, None.. A. Thennavan, None.. M. Tarabichi, None.. L. Xu, None.. Y. C. Henderson, None.. T. M. Tran, None.. Q. Sheng, None.. G. J. Xu, None.. E. C. Huang, None.. M. Hofmann, None.. X. Zhao, None.. S. Y. Lai, None.. M. D. Williams, None.. W. Wang, None.. S. Hamidi, None.. M. E. Zafereo, None.. M. E. Cabanillas, None.. N. E. Navin, None.. V. L. Weiss, None.. J. R. Wang, None.

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