Rosenthal DI, Harari PM, Giralt J, Bell D, Raben D, Liu J, et al. Validation of NRG oncology/RTOG-0129 risk groups for HPV-positive and HPV-negative oropharyngeal squamous cell cancer: implications for risk-based therapeutic intensity trials. įakhry C, Zhang Q, Gillison ML, Nguyen-Tan PF, Rosenthal DI, Weber RS, et al. Human papillomavirus and survival of patients with oropharyngeal cancer. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.Īng KK, Harris J, Wheeler R, Weber R, Rosenthal DI, Nguyen-Tan PF, et al. WNT pathway extranodal extension intratumoral heterogeneity lymph node metastasis oropharyngeal cancer. Clonal evolution analysis of primary and metastatic LNs showed that, in some cases, each metastatic LN originated from a different primary tumor sub-clone. Somatic mutations acquired in the WNT pathway during metastasis showed a significant relationship with ENE. Somatic mutations from metastatic LNs showed a different pattern than the primary tumor. Somatic mutations in HPV-positive OPSCC samples showed APOBEC-related signatures. Somatic mutations in CDKN2A and TP53 were frequently detected in HPV-negative OPSCC. Mutation profiles of HPV-positive OPSCC and HPV-negative OPSCC were similar to those reported previously. Among 40 metastatic LNs, 22 showed extranodal extension (ENE). We performed high-depth whole-exome sequencing (200×) of 76 samples from 18 patients with OPSCC (10 HPV-positive and 8 HPV-negative), including 18 primary tumor samples, 40 metastatic LN samples, and 18 normal tissue samples. Here, we compared the somatic mutational profiles and clonal evolution of primary and metastatic LNs using multiregion sequencing of human papilloma virus (HPV)-positive OPSCC and HPV-negative OPSCC. This item may be available elsewhere in EconPapers: Search for items with the same title.Lymph node (LN) metastasis is an important factor in determining the treatment and prognosis of oropharyngeal squamous cell carcinoma (OPSCC). References: View references in EconPapers View complete reference list from CitEcĪccess to the full text of the articles in this series is restricted. Keywords: Sequential sampling Variance reduction Latin hypercube sampling Antithetic variates Stochastic optimization Monte Carlo simulation (search for similar items in EconPapers) These results imply that, given the ease of implementation of these variance reduction techniques, armed with the same theoretical properties and improved empirical performance relative to random sampling, AV and LHS sequential procedures present attractive alternatives in practice for a class of stochastic programs. The numerical results show that while both AV and LHS can be preferable to random sampling in either setting, LHS typically dominates in the non-sequential setting while performing well sequentially and AV gains some advantages in the sequential setting. It computationally compares their use in both the sequential and non-sequential settings through a collection of two-stage stochastic linear programs with different characteristics. It shows conditions under which the sequential sampling with AV and LHS satisfy finite stopping guarantees and are asymptotically valid, discussing LHS in detail. 300, issue 1, No 7, 204 pagesĪbstract This paper investigates the variance reduction techniques Antithetic Variates (AV) and Latin Hypercube Sampling (LHS) when used for sequential sampling in stochastic programming and presents a comparative computational study. Güzin Bayraksan: The Ohio State UniversityĪnnals of Operations Research, 2021, vol. Variance reduction for sequential sampling in stochastic programming
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