State of the Art of Pathologic and Molecular Testing
Advances in the treatment of non-small cell lung carcinoma have resulted in improved histologic classification and the implementation of molecular testing for predictive biomarkers into the routine diagnostic workflow. Over the past decade, molecular testing has evolved from single-gene assays to hi...
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Published in | Hematology/oncology clinics of North America Vol. 37; no. 3; p. 463 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
United States
01.06.2023
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Abstract | Advances in the treatment of non-small cell lung carcinoma have resulted in improved histologic classification and the implementation of molecular testing for predictive biomarkers into the routine diagnostic workflow. Over the past decade, molecular testing has evolved from single-gene assays to high-thoroughput comprehensive next-generation sequencing. Economic barriers, suboptimal turnaround time to obtain the results, and limited tissue available for molecular assays resulted in adoption of liquid biopsies (ctDNA) into clinical practice. Multiplex immunohistochemical/immunofluorescence assays evaluating tumor microenvironment together with the AI approaches are anticipated to translate from research into clinical care. |
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AbstractList | Advances in the treatment of non-small cell lung carcinoma have resulted in improved histologic classification and the implementation of molecular testing for predictive biomarkers into the routine diagnostic workflow. Over the past decade, molecular testing has evolved from single-gene assays to high-thoroughput comprehensive next-generation sequencing. Economic barriers, suboptimal turnaround time to obtain the results, and limited tissue available for molecular assays resulted in adoption of liquid biopsies (ctDNA) into clinical practice. Multiplex immunohistochemical/immunofluorescence assays evaluating tumor microenvironment together with the AI approaches are anticipated to translate from research into clinical care. |
Author | Dacic, Sanja |
Author_xml | – sequence: 1 givenname: Sanja surname: Dacic fullname: Dacic, Sanja email: sanja.dacic@yale.edu organization: Department of Pathology, Yale School of Medicine, 200 South Frontage Road, EP2-631, New Haven, CT 06510, USA. Electronic address: sanja.dacic@yale.edu |
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CitedBy_id | crossref_primary_10_1200_OP_24_00230 crossref_primary_10_3390_cancers15153959 |
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Copyright | Copyright © 2023 Elsevier Inc. All rights reserved. |
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Keywords | PD-L1 Molecular testing NGS-AI Lung cancer |
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SubjectTerms | Biomarkers, Tumor - genetics Carcinoma, Non-Small-Cell Lung - diagnosis Carcinoma, Non-Small-Cell Lung - genetics High-Throughput Nucleotide Sequencing - methods Humans Lung Neoplasms - diagnosis Lung Neoplasms - genetics Molecular Diagnostic Techniques Mutation Tumor Microenvironment |
Title | State of the Art of Pathologic and Molecular Testing |
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Volume | 37 |
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