Literature DB >> 28377205

Molecular Testing Turnaround Time for Non-Small Cell Lung Cancer in Routine Clinical Practice Confirms Feasibility of CAP/IASLC/AMP Guideline Recommendations: A Single-center Analysis.

Marcello DiStasio1, Yigu Chen1, Deepa Rangachari2, Daniel B Costa2, Yael K Heher1, Paul A VanderLaan3.   

Abstract

INTRODUCTION: Molecular testing to identify targetable driver mutations is the standard of care for patients with advanced-stage non-small cell lung cancer. Recent guideline recommendations by the College of American Pathologists (CAP), International Association for the Study of Lung Cancer (IASLC), and Association for Molecular Pathology (AMP) established a benchmark turnaround time (TAT) target of 10 working days for results to be available to the treating oncologist and ≤ 3 days for specimens to arrive at a commercial testing laboratory if testing is not performed in-house. METHODS AND MATERIALS: To provide insights regarding the pre-testing, post-testing, and testing intervals that constitute the overall TAT target, we performed a detailed workflow analysis. A total of 157 lung cancer specimens were sent out for molecular testing at a commercial vendor from a single academic medical center during the calendar year 2015.
RESULTS: Overall, 128 specimens (81.5%) met the recommended 10-working day TAT, with a median total TAT of 9 weekdays (mean ± standard deviation, 9.17 ± 4.15 days). The pre-testing interval was ≤ 3 days for 146 specimens (93.0%), and the post-testing reporting interval was < 1 day for 116 cases (73.9%). The TAT variance was not related to intrinsic specimen characteristics.
CONCLUSION: Overall, the findings indicated that the CAP/IASLC/AMP TAT guideline recommendations are feasible for most lung cancer specimens when a streamlined system is in place.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Pathology; Practice Guidelines; Process Improvement; Quality; Send-out testing

Mesh:

Substances:

Year:  2017        PMID: 28377205     DOI: 10.1016/j.cllc.2017.03.001

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  10 in total

1.  TP53 mutations are predictive and prognostic when co-occurring with ALK rearrangements in lung cancer.

Authors:  D B Costa
Journal:  Ann Oncol       Date:  2018-10-01       Impact factor: 32.976

2.  Setting Up an Ultra-Fast Next-Generation Sequencing Approach as Reflex Testing at Diagnosis of Non-Squamous Non-Small Cell Lung Cancer; Experience of a Single Center (LPCE, Nice, France).

Authors:  Marius Ilié; Véronique Hofman; Christophe Bontoux; Simon Heeke; Virginie Lespinet-Fabre; Olivier Bordone; Sandra Lassalle; Salomé Lalvée; Virginie Tanga; Maryline Allegra; Myriam Salah; Doriane Bohly; Jonathan Benzaquen; Charles-Hugo Marquette; Elodie Long-Mira; Paul Hofman
Journal:  Cancers (Basel)       Date:  2022-04-30       Impact factor: 6.575

Review 3.  The state of the art for artificial intelligence in lung digital pathology.

Authors:  Vidya Sankar Viswanathan; Paula Toro; Germán Corredor; Sanjay Mukhopadhyay; Anant Madabhushi
Journal:  J Pathol       Date:  2022-06-20       Impact factor: 9.883

4.  The rapidly evolving landscape of biomarker testing in non-small cell lung cancer.

Authors:  Paul A VanderLaan; Deepa Rangachari; Daniel B Costa
Journal:  Cancer Cytopathol       Date:  2020-08-05       Impact factor: 5.284

5.  Rapid EGFR Mutation Detection Using the Idylla Platform: Single-Institution Experience of 1200 Cases Analyzed by an In-House Developed Pipeline and Comparison with Concurrent Next-Generation Sequencing Results.

Authors:  Amir Momeni-Boroujeni; Paulo Salazar; Tao Zheng; Nana Mensah; Ivelise Rijo; Snjezana Dogan; JinYuan Yao; Christine Moung; Chad Vanderbilt; Jamal Benhamida; Jason Chang; William Travis; Natasha Rekhtman; Marc Ladanyi; Khedoudja Nafa; Maria E Arcila
Journal:  J Mol Diagn       Date:  2020-12-18       Impact factor: 5.568

6.  Outsourcing predictive biomarker testing in non-small cell carcinoma: a personal view of pathologists.

Authors:  Luka Brcic; Izidor Kern
Journal:  Transl Lung Cancer Res       Date:  2020-10

7.  Implementation of a pathological diagnosis and treatment pathway may improve the molecular detection of lung cancer.

Authors:  Chao Shi; Bing Wei; Xiaohui Liu; Lin Meng; Chengzhi Zhao; Yuxi Chang; Rui Sun; Zhongxian Zhang; Yang Yu; Jie Ma
Journal:  Ann Transl Med       Date:  2022-01

8.  Real-World Evidence of Diagnostic Testing for Driver Oncogene Mutations in Lung Cancer in Japan.

Authors:  Yasushi Yatabe; Yasumasa Yoshiki; Koichi Matsumura; Kanae Togo; Hironori Kikkawa; Laura Iadeluca; Benjamin Li; Kazuto Nishio
Journal:  JTO Clin Res Rep       Date:  2020-12-29

9.  PD-L1 testing using the clone 22C3 pharmDx kit for selection of patients with non-small cell lung cancer to receive immune checkpoint inhibitor therapy: are cytology cell blocks a viable option?

Authors:  Vanda F Torous; Deepa Rangachari; Benjamin P Gallant; Meghan Shea; Daniel B Costa; Paul A VanderLaan
Journal:  J Am Soc Cytopathol       Date:  2018-02-16

10.  Clinical Utility of Rapid EGFR Genotyping in Advanced Lung Cancer.

Authors:  Ibiayi Dagogo-Jack; Christopher G Azzolli; Florian Fintelmann; Mari Mino-Kenudson; Anna F Farago; Justin F Gainor; Ginger Jiang; Zofia Piotrowska; Rebecca S Heist; Inga T Lennes; Jennifer S Temel; Meghan J Mooradian; Jessica J Lin; Subba R Digumarthy; Julie M Batten; Hayley Robinson; Vania Nose; Miguel Rivera; Valentina Nardi; Dora Dias-Santagata; Long P Le; Lecia V Sequist; Martha Pitman; Jo-Anne O Shepard; Alice T Shaw; A John Iafrate; Jochen K Lennerz
Journal:  JCO Precis Oncol       Date:  2018-07-24
  10 in total

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