Biomarkers in Non-Small Cell Lung Cancers: Indian Consensus Guidelines for Molecular Testing View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Kumar Prabhash, Suresh H. Advani, Ullas Batra, Bivas Biswas, Anuradha Chougule, Mithua Ghosh, Vamshi Krishna Muddu, T. P. Sahoo, Ashok K. Vaid

ABSTRACT

Novel molecular targets and promising targeted therapies have reshaped diagnostics in patients with advanced non-small cell lung cancer (NSCLC). Despite this progress, the implementation of molecular screening to identify predictive biomarkers in Indian clinical and pathology settings has been challenging due to operational and logistical constraints. This consensus guideline brings together medical oncologists, molecular pathologists and pathologists from India to provide a quick and competent reference for biomarker testing in NSCLC. The guideline summarizes the importance of targetable mutations in NSCLC such as epidermal growth factor receptor (EGFR), rearrangements in anaplastic lymphoma kinase and receptor tyrosine kinase encoded by ROS-1 gene, overexpression of programmed cell death ligand-1 and resistant EGFR mutations. It reaffirms recommendations from international working groups, discusses vulnerable pre-analytical procedures and provides a balanced review on the pros and cons of different diagnostic tests (immunohistochemistry, fluorescence in situ hybridization, polymerase chain reaction-based testing and next-generation sequencing). The document also provides an algorithm to aid diagnostic decision-making and a checklist to assess the quality of testing laboratories that will help the medical oncologists make an informed choice. Overall, these recommendations are based on evidence and clinical experience and will aid policymakers, oncologists, health care practitioners and pathologists who strive to implement molecular strategies and make informed decisions for improved care in NSCLC in India.Funding: AstraZeneca Pharma India Limited. More... »

PAGES

766-785

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12325-019-00903-y

    DOI

    http://dx.doi.org/10.1007/s12325-019-00903-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112703519

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30864106


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    N-Triples is a line-based linked data format ideal for batch operations.

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    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12325-019-00903-y'

    RDF/XML is a standard XML format for linked data.

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