scholarly journals Metformin Prolongs Survival in Type 2 Diabetes Lung Cancer Patients With EGFR-TKIs

2019 ◽  
Vol 18 ◽  
pp. 153473541986949 ◽  
Author(s):  
Ming-Szu Hung ◽  
Min-Chun Chuang ◽  
Yi-Chuan Chen ◽  
Chuan-Pin Lee ◽  
Tsung-Ming Yang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Kinase Inhibitor ◽  
Progression Free Survival ◽  
Research Database ◽  
Lung Cancer Patients ◽  
Risk Of Death ◽  
Type 2 Dm ◽  
Egfr Tki

Background: Metformin use reportedly reduces cancer risk and improves survival in lung cancer patients. This study aimed to investigate the effect of metformin use in patients with diabetes mellitus (DM) and lung cancer receiving epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) therapy. Methods: A nationwide, population-based cohort study was conducted using the Taiwan National Health Insurance Research Database. From January 1, 2004, to December 31, 2012, a total of 373 metformin and 1260 non-metformin lung cancer cohorts with type 2 DM and EGFR-TKI treatment were studied. Results: Metformin use was significantly associated with a reduced risk of death (hazard ratio: 0.73, 95% confidence interval [CI]: 0.62-0.85, P < .001), as well as a significantly longer median progression-free survival (9.2 months, 95% CI: 8.6-11.7, vs 6.4 months, 95% CI: 5.9-7.2 months, P < .001) and median overall survival (33.4 months, 95% CI: 29.4-40.2, vs 25.4 months, 95% CI: 23.7-27.2 months, P < 0.001). Conclusions: In conclusion, metformin may potentially enhance the therapeutic effect and increase survival in type 2 DM patients with lung cancer receiving EGFR-TKI therapy.

scholarly journals Non-Coding RNA Polymorphisms (rs2910164 and rs1333049) Associated With Prognosis of Lung Cancer Under Platinum-Based Chemotherapy

2021 ◽  
Vol 12 ◽  
Author(s):  
Yi-Xin Chen ◽  
Juan Chen ◽  
Ji-Ye Yin ◽  
Hong-Hao Zhou ◽  
Bai-Mei He ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Lower Risk ◽  
Progression Free Survival ◽  
Single Nucleotide ◽  
Free Survival ◽  
Lung Cancer Patients ◽  
Risk Of Death ◽  
Non Coding Rna ◽  
Platinum Based Chemotherapy

Purpose: Lung cancer is the largest cause of cancer deaths in the world. Platinum-based chemotherapy is a foundation of first-line chemotherapy. However, the prognosis of lung cancer treated with platinum-based chemotherapy is still a challenge. Single nucleotide polymorphism of non-coding RNA has the potential to be a biomarker, but its effectiveness has yet to be comprehensively assessed. In this study, we explored the association between polymorphisms of non-coding RNA and prognosis of lung cancer patients receiving platinum-based chemotherapy.Materials and Methods: For 446 lung cancer patients receiving platinum-based chemotherapy, 22 single nucleotide polymorphisms of microRNA and long noncoding RNA were genotyped by MALDI-TOF mass spectrometry. Cox regression analysis, Kaplan-Meier method, and long-rank test have been performed to assess the association of overall and progression-free survival with polymorphisms.Results: In the additive and dominant models, genetic polymorphism of ANRIL rs1333049 (G &gt; C) was significantly associated with progression-free survival. Additive model: CC vs GC vs GG [HR = 0.84, p = 0.021, 95% CI (0.73–0.97)]; Recessive model: CC vs GG + GC [HR = 0.77, p = 0.026, 95% CI (0.61–0.97)]. In the dominant model, compared with the CC genotype patients, lower risk of death [HR = 0.81, p = 0.036, 95% CI (0.66–0.99)] and lower risk of progression [HR = 0.81, p = 0.040, 95% CI (0.67–0.99)] have been observed on the patients with CG or GG genotype in miR-146A rs2910164.Conclusion: Our research demonstrated the potential of using ANRIL rs1333049 (G &gt; C) and miR-146A rs2910164 (C &gt; G) as biomarkers to support the prediction of a better prognosis for lung cancer patients receiving platinum-based chemotherapy.

Pretreatment lung immune prognostic index as biomarker in advanced non-small-cell lung cancer patients receiving first line pembrolizumab

Immunotherapy ◽  
2021 ◽  
Author(s):  
Antonello Veccia ◽  
Vincenzo Sforza ◽  
Emanuela Vattemi ◽  
Alessandro Inno ◽  
Stefania Kinspergher ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Prognostic Index ◽  
Progression Free Survival ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
C Statistic

Background: To investigate the role of pretreatment lung immune prognostic index (LIPI) as biomarker in PD-L1 ≥50% non-small-cell lung cancer patients receiving pembrolizumab. Patients & methods: We retrospectively identified 117 patients, divided into 3 prognostic groups according to LIPI score. For each patient, we evaluated 1-year overall survival (OS) and progression-free survival rate. C-statistic and survival receiver operating characteristic curves were used to study discrimination of LIPI. Results: After a median follow-up of 11.7 months, 1-year OS rate was 60.1%, 35.3% and 28.6%, while 1-year progression-free survival rate was 39.1%, 20.6% and 14.3% in good, intermediate and poor LIPI groups, respectively (p < 0.001). The c-statistic and area under the curve of LIPI were 0.63 and 0.662 for OS and 1-year OS, respectively. Conclusions: Higher LIPI score is related to worse survival in advanced non-small-cell lung cancer patients treated with first-line pembrolizumab. However, based on c-statistic and area under the curve, LIPI does not represent a good prognostic survival model.

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