Prevalence of targetable mutations in black patients with lung cancer: A systematic review and meta-analysis.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e13105-e13105
Author(s):  
Yonette Paul ◽  
Sunil G Iyer ◽  
Leonardo Tamariz ◽  
Zsuzsanna Nemeth ◽  
Gilberto Lopes

e13105 Background: Although poorer outcomes of lung cancer in Blacks compared to other racial groups has been strongly linked to socio-economic factors, it is important to investigate whether lower prevalence of targetable mutations limit treatment options, thereby also contributing to worse outcomes. This study examines the prevalence of EGFR, ALK, ROS-1 and BRAF lung cancer mutations in Blacks compared to other races. Methods: We conducted a meta- analysis compliant with PRISMA guidelines. Searched databases included PubMed/MEDLINE, Cochrane CENTRAL, EMBASE, Google Scholar and clinicaltrials.gov. Publication bias was mitigated by searching clinicaltrials.gov for unpublished studies. Searches were run to 11/19/2018. Two rounds of screening were performed based on title and then abstract by two independent reviewers. For the purposes of this study we defined racial groups as Black, Asian, Hispanic, and White/Caucasian. We selected studies of lung cancer patients (any stage or type) where the prevalence of at least one mutation was reported in Blacks. We calculated the pooled prevalence of mutations by racial group using fixed effects, exact binomial distributions and Freeman-Turkey double arcsine transformation to stabilize the variances. Results: Prevalence % of mutations by race reported with 95% Confidence Interval in parentheses N = number of tests performed We included 20 studies which totaled 11,867 lung cancer patients. Each mutation tested on a tissue sample was considered an event, for a total of 15,306 events. EGFR was the most prevalent mutation in Blacks (6%). Compared to other races Blacks had the lowest prevalence of all four mutations. Conclusions: In the era of targeted therapy, outcomes for metastatic lung have improved significantly. Of concern, our results show that Blacks are disproportionately ineligible for these therapies due to lower prevalence of targetable mutations. More research is needed to evaluate the unique tumor characteristics and therapeutic strategies in this sub group of patients, in the hope of achieving better disease outcomes.[Table: see text]

2019 ◽  
Vol 21 (10) ◽  
pp. 734-748 ◽  
Author(s):  
Baoling Guo ◽  
Qiuxiang Zheng

Aim and Objective: Lung cancer is a highly heterogeneous cancer, due to the significant differences in molecular levels, resulting in different clinical manifestations of lung cancer patients there is a big difference. Including disease characterization, drug response, the risk of recurrence, survival, etc. Method: Clinical patients with lung cancer do not have yet particularly effective treatment options, while patients with lung cancer resistance not only delayed the treatment cycle but also caused strong side effects. Therefore, if we can sum up the abnormalities of functional level from the molecular level, we can scientifically and effectively evaluate the patients' sensitivity to treatment and make the personalized treatment strategies to avoid the side effects caused by over-treatment and improve the prognosis. Result & Conclusion: According to the different sensitivities of lung cancer patients to drug response, this study screened out genes that were significantly associated with drug resistance. The bayes model was used to assess patient resistance.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Huilai Lv ◽  
Baoen Shan ◽  
Ziqiang Tian ◽  
Yong Li ◽  
Yuefeng Zhang ◽  
...  

c-Met has been demonstrated as an attractive target in lung cancer therapy. Current studies showed that detection of c-Met status in tumor is critical in Met-targeted therapy. However not all patients are suitable for tissue sample collection. It is important to discover novel surrogate markers to detect c-Met status. In the study, soluble c-Met (s-Met) in plasma from 146 Chinese lung cancer patients and 40 disease-free volunteers was measured by enzyme-linked immunosorbent. In parallel, expression of c-Met in those tumors was also assessed by immunohistochemistry. Results showed that, in 146 lung cancer patients, 93 were c-Met expression positive and 74 of 93 were overexpressed. In c-Met-overexpressed patients, plasma s-Met was significantly increased. And further studies showed that plasma s-Met linearly correlated with c-Met expression in tumor. After tumor was removed in Met-overexpressed patients via resection, plasma s-Met significantly decreased to basal level. In addition, plasma s-Met showed to be poorly correlated with tumor size in Met-overexpressed patients. These results demonstrated that plasma s-Met is a sensitive and reliable marker to detect c-Met overexpression in lung cancers, and it is independent of tumor volume.


2017 ◽  
Vol 104 (7-8) ◽  
pp. 675-682 ◽  
Author(s):  
Jian-Da Huang ◽  
Chao-Hui Dong ◽  
Sheng-Wen Shao ◽  
Tong-Jie Gu ◽  
Zhi-Lin Hu ◽  
...  

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