http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110305965-B

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classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-106
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-156
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6886
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6886
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-50
filingDate 2019-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2019-12-31-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2019-12-31-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110305965-B
titleOfInvention A method for predicting the sensitivity of non-small cell lung cancer (NSCLC) patients to immunotherapy
abstract The present invention discloses methods of predicting the sensitivity of a cancer (non-small cell lung cancer) patient to immunotherapy, for example immunotherapy with immune checkpoint inhibitors, using two genes, KMT2C and TP53 as biomarkers; also disclosed is the use of an agent that specifically detects the biomarker for the manufacture of a kit for predicting the sensitivity of a cancer patient (non-small cell lung cancer) to immunotherapy, for example immunotherapy using an immune checkpoint inhibitor. In the invention, TP53 and KMT2C gene mutation states are considered in a combined manner, so that a population sensitive to ICI in NSCLC patients can be accurately predicted, blind medication is avoided, and the economic performance of ICI treatment is improved.
priorityDate 2019-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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