Abstract:Background: Following to approval of Pembrolizumab for patients with advanced NSCLC, PD-L1 IHC 22C3 pharmDx (Dako) was adopted as a companion diagnostic test. While PD-L1 IHC 28-8 pharmDx (Dako) was established as a complementary diagnostic for Nivolumab. Recently many groups demonstrated the intra-tumor heterogeneity of these PD-L1 expressions, but there have been a few reports about the intra-patient or inter-tumor heterogeneity. We aimed to investigate the inter-tumor heterogeneity of PD-L1 IHC 22C3 and 28-… Show more
“…19 It was shown to worsen the treatment outcome in patients receiving both chemotherapy and ICI, though prognostic significance is less pronounced in the cohort of patients receiving ICI. 6,16,20,21 Consequently, STK11 may play both a prognostic and predictive role, which agrees with our results. Since STK11 mutations are frequently observed in PD-L1-low/TMB-low patients 22,23 this marker may provide an additional molecular-defined cohort of patients with NSCLC, which may benefit more from immunotherapy.…”
Section: Resultssupporting
confidence: 92%
“…5 The high mutational burden correlates with the immunogenic microenvironment of the tumor and the increased expression of tumor-specific neoantigens, which can become a target for activated immune cells. 6 Evidence suggests alterations in frequently mutated genes (KRAS, TP53, STK11, KMT2C, LRP1B, POLE and others) as drivers of response or resistance to ICI treatment. Somatic mutations in serine/threonine kinase 11 (STK11) have been proposed as a prognostic marker that correlates with poor treatment outcome in non-small cell lung cancer (NSCLC).…”
Section: Impact Of the Stk11/kras Co-mutation On The Response To Immu...mentioning
confidence: 99%
“…5 The high mutational burden correlates with the immunogenic microenvironment of the tumor and the increased expression of tumor-specific neoantigens, which can become a target for activated immune cells. 6…”
Introduction: Immune checkpoint inhibitors are highly effective in treating various cancers. We analyzed the significance of the KRAS/STK11 co-mutation in relation to the efficacy of immune checkpoint inhibitors in pan-cancer patient cohort. Methods: We analyzed data from open-access research: MSK-IMPACT (molecular profiling data from patients receiving systemic antitumor therapy) and MSK-TMB (molecular profiling data from patients receiving immune checkpoint inhibitors). In both studies, high throughput sequencing was used for molecular profiling. Results: A total of 10,336 patients receiving antitumor therapy (MSK-IMPACT study) and 1661 patients receiving immune checkpoint inhibitors (MSK-TMB study) were included in the analysis. Co-mutation STK11/KRAS was found in 156 (1.5%) and 46 (2.8%) patients in the two studies, respectively. Most patients with the STK11/KRAS co-mutation had non-small cell lung cancer (83% and 85% in the two studies, respectively). Among non-small cell lung cancer patients, the STK11 mutation was associated with a worse outcome for patients receiving systemic antitumor therapy, but not immune checkpoint inhibition therapy (HR for OS 1.90 [95% CI 1.36-2.65] and 1.44 [95% CI 0.88-2.37]). Co-mutation STK11/KRAS was also not associated with patient outcome in any of the studies (HR for OS 0.93 [95% CI 0.56-1.52] and 1.09 [95% CI 0.54-2.19]). High tumor mutational burden was associated with better outcome in the cohort of patients receiving immune checkpoint inhibitors. An analogous analysis among patients in the pan-cancer cohort (excluding patients with non-small cell lung cancer) showed STK11 mutations and high tumor mutational burden have a predictive role for the efficacy of immune checkpoint inhibitors, but not STK11/KRAS co-mutation. Conclusions: Co-mutation STK11/KRAS is common among patients with non-small cell lung cancer and is not an independent predictive marker for the efficacy of immune checkpoint inhibitors. Further studies are required to clarify the role of STK11 mutations in immune checkpoint inhibitor treatment response.
“…19 It was shown to worsen the treatment outcome in patients receiving both chemotherapy and ICI, though prognostic significance is less pronounced in the cohort of patients receiving ICI. 6,16,20,21 Consequently, STK11 may play both a prognostic and predictive role, which agrees with our results. Since STK11 mutations are frequently observed in PD-L1-low/TMB-low patients 22,23 this marker may provide an additional molecular-defined cohort of patients with NSCLC, which may benefit more from immunotherapy.…”
Section: Resultssupporting
confidence: 92%
“…5 The high mutational burden correlates with the immunogenic microenvironment of the tumor and the increased expression of tumor-specific neoantigens, which can become a target for activated immune cells. 6 Evidence suggests alterations in frequently mutated genes (KRAS, TP53, STK11, KMT2C, LRP1B, POLE and others) as drivers of response or resistance to ICI treatment. Somatic mutations in serine/threonine kinase 11 (STK11) have been proposed as a prognostic marker that correlates with poor treatment outcome in non-small cell lung cancer (NSCLC).…”
Section: Impact Of the Stk11/kras Co-mutation On The Response To Immu...mentioning
confidence: 99%
“…5 The high mutational burden correlates with the immunogenic microenvironment of the tumor and the increased expression of tumor-specific neoantigens, which can become a target for activated immune cells. 6…”
Introduction: Immune checkpoint inhibitors are highly effective in treating various cancers. We analyzed the significance of the KRAS/STK11 co-mutation in relation to the efficacy of immune checkpoint inhibitors in pan-cancer patient cohort. Methods: We analyzed data from open-access research: MSK-IMPACT (molecular profiling data from patients receiving systemic antitumor therapy) and MSK-TMB (molecular profiling data from patients receiving immune checkpoint inhibitors). In both studies, high throughput sequencing was used for molecular profiling. Results: A total of 10,336 patients receiving antitumor therapy (MSK-IMPACT study) and 1661 patients receiving immune checkpoint inhibitors (MSK-TMB study) were included in the analysis. Co-mutation STK11/KRAS was found in 156 (1.5%) and 46 (2.8%) patients in the two studies, respectively. Most patients with the STK11/KRAS co-mutation had non-small cell lung cancer (83% and 85% in the two studies, respectively). Among non-small cell lung cancer patients, the STK11 mutation was associated with a worse outcome for patients receiving systemic antitumor therapy, but not immune checkpoint inhibition therapy (HR for OS 1.90 [95% CI 1.36-2.65] and 1.44 [95% CI 0.88-2.37]). Co-mutation STK11/KRAS was also not associated with patient outcome in any of the studies (HR for OS 0.93 [95% CI 0.56-1.52] and 1.09 [95% CI 0.54-2.19]). High tumor mutational burden was associated with better outcome in the cohort of patients receiving immune checkpoint inhibitors. An analogous analysis among patients in the pan-cancer cohort (excluding patients with non-small cell lung cancer) showed STK11 mutations and high tumor mutational burden have a predictive role for the efficacy of immune checkpoint inhibitors, but not STK11/KRAS co-mutation. Conclusions: Co-mutation STK11/KRAS is common among patients with non-small cell lung cancer and is not an independent predictive marker for the efficacy of immune checkpoint inhibitors. Further studies are required to clarify the role of STK11 mutations in immune checkpoint inhibitor treatment response.
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