Literature DB >> 31605798

Calculating the Tumor Nuclei Content for Comprehensive Cancer Panel Testing.

Masashi Mikubo1, Katsutoshi Seto1, Atsuko Kitamura2, Masato Nakaguro3, Yukinori Hattori4, Nagako Maeda5, Tatsuhiko Miyazaki6, Kazuko Watanabe7, Hideki Murakami8, Tetsuya Tsukamoto9, Tetsuya Yamada10, Shiro Fujita1, Katsuhiro Masago1, Shakti Ramkissoon11, Jeffrey S Ross11, Julia Elvin11, Yasushi Yatabe12.   

Abstract

Comprehensive genetic panel testing generally requires that the analyzed tissues have a percent tumor nuclei (%TN) content of 20% or more to achieve assay performance comparable to the validated specifications. Pathologists play a crucial role in ensuring that the optimal results are achieved by accurately assigning %TN content of the available specimens and selecting the best material to submit for sequencing. This study addresses the issues in evaluating %TN, such as intraobserver variability, and examines whether focused training and feedback can improve pathologist performance. Nine referring institution pathologists (all board-certified and working at the core institute and the alignment hospitals under the National Cancer Genome scheme) evaluated 18 tumors that had been subjected to comprehensive genetic panel testing with the FoundationOne CDx assay. The %TN estimates provided by referring institution pathologists were compared with two standards: %TN assigned by the tumor sequencing institution's pathologist (a board-certified pathologist at Foundation Medicine, Inc.) and the computational %TN estimated from the mutant allele frequencies after sequencing was completed. The pathologists generally overestimated %TN in the first pretraining round of the evaluation, and the differences in the averaged %TN from the tumor sequencing institution and computational standards were statistically significant. However, the posttraining second-round results became significantly concordant with the standards. This study suggests that %TN content is empirically overestimated but the evaluation skill can be improved by providing a training and feedback program.
Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Comprehensive genetic panel testing; FoundationOne CDx; Molecular testing; Pathological evaluation; Tumor nuclei content

Mesh:

Year:  2019        PMID: 31605798     DOI: 10.1016/j.jtho.2019.09.081

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  6 in total

1.  A Multiscale Model to Identify Limiting Factors in Nanoparticle-Based miRNA Delivery for Tumor Inhibition.

Authors:  Prashant Dogra; Javier Ruiz Ramirez; Joseph D Butner; Maria J Pelaez; Vittorio Cristini; Zhihui Wang
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2021-11

2.  Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study.

Authors:  Mustafa Umit Oner; Jianbin Chen; Egor Revkov; Anne James; Seow Ye Heng; Arife Neslihan Kaya; Jacob Josiah Santiago Alvarez; Angela Takano; Xin Min Cheng; Tony Kiat Hon Lim; Daniel Shao Weng Tan; Weiwei Zhai; Anders Jacobsen Skanderup; Wing-Kin Sung; Hwee Kuan Lee
Journal:  Patterns (N Y)       Date:  2021-12-09

3.  Translational Modeling Identifies Synergy between Nanoparticle-Delivered miRNA-22 and Standard-of-Care Drugs in Triple-Negative Breast Cancer.

Authors:  Prashant Dogra; Javier Ruiz Ramírez; Joseph D Butner; Maria J Peláez; Caroline Chung; Anupama Hooda-Nehra; Renata Pasqualini; Wadih Arap; Vittorio Cristini; George A Calin; Bulent Ozpolat; Zhihui Wang
Journal:  Pharm Res       Date:  2022-03-16       Impact factor: 4.200

Review 4.  The Significance of External Quality Assessment Schemes for Molecular Testing in Clinical Laboratories.

Authors:  Nele Laudus; Lynn Nijs; Inne Nauwelaers; Elisabeth M C Dequeker
Journal:  Cancers (Basel)       Date:  2022-07-28       Impact factor: 6.575

5.  Pleural cryobiopsy is useful for comprehensive cancer genetic panel testing.

Authors:  Satoru Ishii; Hiromu Watanabe; Shinyu Izumi; Masayuki Hojo; Haruhito Sugiyama
Journal:  Respirol Case Rep       Date:  2020-05-13

6.  Comparison of sampling methods for next generation sequencing for patients with lung cancer.

Authors:  Kei Kunimasa; Shingo Matsumoto; Kazumi Nishino; Keiichiro Honma; Noboru Maeda; Hanako Kuhara; Motohiro Tamiya; Takako Inoue; Takahisa Kawamura; Toru Kimura; Tomohiro Maniwa; Jiro Okami; Koichi Goto; Toru Kumagai
Journal:  Cancer Med       Date:  2022-03-10       Impact factor: 4.711

  6 in total

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