2023
Objective Analysis and Clinical Significance of the Spatial Tumor-Infiltrating Lymphocyte Patterns in Non-Small Cell Lung Cancer.
Lopez De Rodas M, Wang Y, Peng G, Gu J, Mino-Kenudson M, Riess J, Velcheti V, Hellmann M, Gainor J, Zhao H, Schalper K. Objective Analysis and Clinical Significance of the Spatial Tumor-Infiltrating Lymphocyte Patterns in Non-Small Cell Lung Cancer. Clinical Cancer Research 2023, 30: 998-1008. PMID: 38127300, PMCID: PMC10922461, DOI: 10.1158/1078-0432.ccr-23-2457.Peer-Reviewed Original ResearchNon-small cell lung cancerTIL subsetsCell lung cancerImmune evasion mechanismsSubset of casesLymphocyte infiltration patternsPathology-based approachStrong biomarker potentialTIL markersNSCLC patientsImmunotherapy outcomesLymphocyte patternsLung cancerTumor bedWorse outcomesClinical significanceMost tumorsEvasion mechanismsStromal tissueTumor samplesMultiplexed immunofluorescenceBiomarker potentialTumorsInfiltration patternsImmunotherapy
2019
Assessment of tumor mutation burden calculation from gene panel sequencing data
Xu Z, Dai J, Wang D, Lu H, Dai H, Ye H, Gu J, Chen S, Huang B. Assessment of tumor mutation burden calculation from gene panel sequencing data. OncoTargets And Therapy 2019, 12: 3401-3409. PMID: 31123404, PMCID: PMC6510391, DOI: 10.2147/ott.s196638.Peer-Reviewed Original ResearchTumor mutation burdenNon-small cell lung cancerHigh tumor mutation burdenImmune checkpoint blockadeCell lung cancerCancer Genome AtlasCheckpoint blockadeLung cancerClinical trialsSelection biomarkerMutation burdenCancer typesWhole-exome sequencing dataGenome AtlasPanel sequencing dataTargeted sequencingClinical applicationExome sequencing dataBurden calculationsWhole-genome sequencingMutation levelsSomatic mutation data