Prognostic Potential of the Prognostic Nutritional Index in Non-Small Cell Lung Cancer Patients Receiving Pembrolizumab Combination Therapy with Carboplatin and Paclitaxel/Nab-Paclitaxel.

INTRODUCTION: Pembrolizumab (Pemb) therapy in conjunction with carboplatin and paclitaxel (PTX)/nab-PTX has been efficacious in treating non-small cell lung cancer (NSCLC). However, the response predictors of this combination therapy (Pemb-combination) remain undetermined. We aimed to evaluate whether Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), body mass index (BMI), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) are potential factors in prognosticating the response to Pemb-combination therapy in advanced NSCLC patients. METHODS: We retrospectively recruited 144 NSCLC patients receiving first-line treatment with Pemb-combination therapy from 13 institutions between December 1, 2018, and December 31, 2020. GPS, NLR, BMI, PLR, and PNI were assessed for their efficacy as prognostic indicators. Cox proportional hazard models and the Kaplan-Meier method were used to compare the progression-free survival (PFS) and overall survival (OS) of the patients. RESULTS: The treatment exhibited a response rate of 63.1% (95% confidence interval [CI]: 55.0-70.6%). Following Pemb-combination administration, the median PFS and OS were 7.3 (95% CI: 5.3-9.4) and 16.5 (95% CI: 13.9-22.1) months, respectively. Contrary to PNI, NLR, GPS, BMI, and PLR did not display substantially different PFS in univariate analysis. However, multivariate analysis did not identify PNI as an independent prognostic factor for PFS. Furthermore, univariate analysis revealed that GPS, BMI, and PLR exhibited similar values for OS but not NLR and PNI. Patients with PNI ≥45 were predicted to have better OS than those with PNI <45 (OS: 23.4 and 13.9 months, respectively, p = 0.0028). Multivariate analysis did not establish NLR as an independent prognostic factor for OS. CONCLUSION: The PNI evidently predicted OS in NSCLC patients treated with Pemb-combination as first-line therapy, thereby validating its efficiency as a prognostic indicator of NSCLC.

Using the neutrophil-to-lymphocyte ratio to predict the outcome of individuals with nonsquamous non-small cell lung cancer receiving pembrolizumab plus platinum and pemetrexed.

BACKGROUND: Factors predicting the response to pembrolizumab plus platinum and pemetrexed combination therapy (Pemb-Plt-PEM) in nonsquamous non-small cell lung cancer (non-sq NSCLC) are unclear. We investigated the Glasgow Prognostic (GP) score, neutrophil-to-lymphocyte ratio (NLR), and body mass index (BMI) as predictors of response to initial treatment with combination therapy in individuals with advanced non-sq NSCLC. METHODS: We retrospectively reviewed 236 patients who received initial treatment with combination therapy for non-sq NSCLC at 13 institutions between December 2018 and December 2020. The usefulness of the GP score, NLR, and BMI as prognostic indicators was assessed. Cox proportional hazard models and the Kaplan-Meier method were used to compare progression-free survival (PFS) and overall survival (OS). RESULTS: The response rate was 51.2% (95% CI: 44.9-57.5%). The median PFS and OS after beginning Pemb-Plt-PEM were 8.8 (95% CI: 7.0-11.9) months and 23.6 (95% CI: 18.7-28.6) months, respectively. The NLR independently predicted the efficacy of Pemb-Plt-PEM-the PFS and OS were more prolonged in individuals with NLR <5 than in those with NLR ≥5 (PFS: 12.8 vs. 5.3 months, p = 0.0002; OS: 29.4 vs. 12.0 months, p < 0.0001). BMI predicted the treatment response-individuals with BMI ≥22.0 kg/m2 had longer OS than did those with BMI < 22.0 kg/m2 (OS: 28.4 vs. 18.4 months, p = 0.0086). CONCLUSIONS: The NLR significantly predicted PFS and OS, whereas BMI predicted OS, in individuals who initially received Pemb-Plt-PEM for non-sq NSCLC. These factors might be prognosis predictors in non-sq NSCLC.

Growth hormone secretion and its effect on height in pediatric patients with different genotypes of Prader-Willi syndrome.

There have been multiple reports regarding the growth hormone (GH) secretion in patients with Prader-Willi syndrome (PWS). However, none have compared GH secretion in children with deletion group to those with maternal uniparental disomy (UPD). We evaluated the GH secretion in pediatric patients with PWS. Seventy-six patients with a deletion (n = 55) or UPD (n = 21) were studied. The secretion of GH by insulin stimulation in the patients with UPD (3.6 ± 2.2 ng/ml) was significantly lower than those with deletions (peak GH level: 11.1 ± 8.6 ng/ml; P = 0.0013). We also compared the response to GH replacement therapy. Yearly improvements in height standard deviation score (SDS) were similar in the two groups (first year SDS: 0.47 ± 0.47, deletion; 0.68 ± 0.26, UPD; P = 0.14).

Pretreatment glasgow prognostic score predicts survival among patients administered first-line atezolizumab plus carboplatin and etoposide for small cell lung cancer.

Background: There are no established predictive biomarkers for the effectiveness of first-line atezolizumab plus carboplatin and etoposide therapy in patients with small-cell lung cancer (SCLC). Therefore, the current study aimed to investigate whether the Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), and body mass index (BMI) can predict the effectiveness of first-line atezolizumab plus carboplatin and etoposide therapy in patients with extensive-disease SCLC. Methods: We reviewed data from 84 patients who received first-line atezolizumab plus carboplatin and etoposide therapy for SCLC at nine Japanese institutions between August 2019 and May 2021. Further, we evaluated the prognostic value of the GPS, NLR, and BMI. The Kaplan-Meier and Cox proportional hazard models were used to examine differences in progression-free survival (PFS) and overall survival (OS). Moreover, the GPS, NLR, and BMI consisted of C-reactive protein and albumin concentrations, neutrophil and lymphocyte counts, and body weight and height, respectively. Results: The response rate was 72.6% (95% confidence interval: 63.0-82.1%). The median PFS and OS from the initiation of treatment were 5.4 (95% CI: 4.9-5.9) months and 15.4 (95% CI: 11.4-16.8) months, respectively. The GPS independently predicted the effectiveness of first-line atezolizumab plus carboplatin and etoposide treatment, as a favorable GPS (GPS 0-1) was correlated with significantly better PFS and OS rates compared to a poor GPS (GPS 2) (PFS: 5.8 vs. 3.8 months, p = 0.0005; OS: 16.5 vs. 8.4 months, p<0.0001). Conclusions: This is the first analysis to evaluate the association between the GPS, NLR, and BMI and the treatment effectiveness of survival among patients receiving first-line atezolizumab plus carboplatin and etoposide therapy for SCLC. Among patients receiving this treatment for SCLC, GPS was significantly associated with the PFS and OS rates, suggesting that GPS might be useful for evaluating therapeutic outcomes in these patients.

One Novel and Two Recurrent THRB Mutations Associated with Resistance to Thyroid Hormone: Structure-based Computational Mutation Prediction.

Inactivating mutations of THRB, which encodes the thyroid hormone receptor ß (TRß), cause resistance to thyroid hormone (RTH; OMIM 190160). To date, more than 100 THRB mutations have been reported among RTH patients. Most mutations substitute a single amino-acid residue in the ligand-binding domain. In this report, we describe clinical and molecular findings of three families with RTH. Three families harbored one novel (p.I431M) and two recurrent (p.R320H and p.R383C) THRB mutations. To examine the pathogenicity of identified mutations, we introduced a novel computational mutation prediction method based on three-dimensional structure data of TRß-T3 complex. First, to define the accuracy of our prediction system, we evaluated ten previously reported 'positive control' mutations, as well as 30 seemingly benign sequence variations observed among vertebral species as 'negative controls'. We found that our system had a sensitivity of 80% and a specificity of 93%. We then analyzed three mutations detected in the present study and found that all three mutations are predicted to be deleterious. Our data suggest that our structure-based prediction system would be a prompt, inexpensive and feasible method for evaluating the pathogenicity of missense THRB mutations.