Molecular matching and treatment strategies for lung cancer at Dartmouth-Hitchcock Medical Center: A three year review of a molecular tumor board.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e20585-e20585
Author(s):  
Erica Bernhardt ◽  
Mary D. Chamberlin ◽  
Ivan P Gorlov ◽  
Francine B Blumental de Abreu ◽  
Katarzyna J Bloch ◽  
...  

e20585 Background: Matching of actionable tumor mutations with targeted therapy has been shown to increase response rates and prolong survival in lung cancer patients. Drug development and trials targeting genetic alterations are expanding rapidly. We describe the role of a Molecular Tumor Board (MTB) in the design of molecularly informed treatment strategies in our lung cancer patient population. Methods: DNA from tumor specimens was sequenced to identify coding mutations using a 50-gene targeted next-generation sequencing panel (Ampliseq v2). Cases were evaluated by a multidisciplinary MTB that included medical oncologists, hematologists, molecular and anatomic pathologists, genetic counselors, and basic science researchers who suggested a course of treatment based on the patient’s molecular findings. Results: During a three-year period, 88 patients were presented to the MTB. Of these, 21 patients had lung cancer (23.9%). All patients lacked common (indicated for FDA approved drug) activating EGFR and ALK mutations. One patient was stage IIIb, all others were stage IV; 18 had previously received at least one prior line of therapy (range 0-5). Suggestions for treatment with a targeted therapy were made for 19 of 21 (90.5%) and four patients underwent treatment with a MTB-suggested targeted agent (21.1%); two as part of a clinical trial. One patient received targeted therapy for 27 months before his disease eventually progressed. Barriers to treatment with targeted therapy included: ineligibility for study (n = 2), lack of interest in study/distance to travel (n = 2), lack of disease progression (n = 2), death/hospice enrollment (n = 5), decision to treat with immunotherapy (n = 3), and unknown (n = 1). Conclusions: For the majority of lung cancer patients, the MTB was able to provide suggestions based on targetable genetic alterations. The largest barriers to treatment were death and hospice enrollment indicating that molecular testing and presentation to the MTB at earlier stages of disease may increase the number of patients who ultimately are eligible for treatment with a targeted agent.

2018 ◽  
Vol 13 (9) ◽  
pp. S161
Author(s):  
C. Rolfo ◽  
P. Manca ◽  
R. Salgado ◽  
P. Van Dam ◽  
A. Dendooven ◽  
...  

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.


2019 ◽  
Vol 10 (3) ◽  
pp. 1640-1645
Author(s):  
Saleen Salam Abdulhadi ◽  
Abbas Abdullah Mohammed‎

In the present study, sequencing approach has been adopted for exploring the ‎genetic alteration of sequences for the ubiquitin gene (UBC) in patients of breast and ‎lung cancer and comparing the results with a normal sequence that obtained from NCBI. ‎The aim of this study was to detect for genetic alterations of UBC gene in the breast and ‎lung cancer patients then compare with healthy control subjects, to investigate the ‎association between the mutations at the intron region of the UBC gene and cancer disease, ‎‎40 blood samples were examined from patients with breast and lung cancer aged ranged from (17-65) years, were collected at Al-Amal Hospital of cancer in Baghdad ‎province/Iraq, the period of collecting samples were from October/2018 to January/2019. ‎While twenty-two blood samples from healthy control subjects were collected at ages ‎ranged from(19-59). After DNA extraction, the PCR primer was designed to amplify the ‎region in the UBC gene (part of exon 1 and the whole intron). Here we report the polymorphism of the intron sequence of the UBC gene in Iraqi population as the results of sequencing the PCR amplified products showed three different transition mutation G→A, ‎C→T, T→C in patients with breast cancer were also appeared in healthy control subjects. While nine transition mutations appeared in lung cancer patients, at different locations ‎of the sequence were detected by BLAST tool. ‎


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18033-e18033
Author(s):  
Christine Holmberg ◽  
Kathrin Gödde ◽  
Hella Fuegemann ◽  
Jacqueline Mueller-Nordhorn ◽  
Nina Rieckmann ◽  
...  

e18033 Background: Patient navigation is seen to support and enable patient-oriented, optimal care both in palliative and in screening settings. However, the evidence remains inconclusive on what patient groups are best targeted by navigation and what may be improved by such a care model. Lung cancer patients are at particular risk for sub-optimal care because they face complex care trajectories due to severe and rapid disease progression and accompanying comorbidity. Methods: To develop a navigation model for lung cancer, we conducted a mixed-methods study to investigate who may be at risk of receiving sub-optimal care in the German health care setting. To capture the patient perspective a longitudinal qualitative component was included with patients (N = 20) assessed at three dtime points. In addition, a secondary data analysis of cancer registry data of a comprehensive cancer center was conducted and a repository of patient support offers gathered. Results of the study components were integrated to develop a patient-oriented navigation model. Results: Secondary data analysis showed that medical care functioned according to tumor board recommendations. Patient data revealed institutional barriers that conflict with individual needs and preferences. A lack of contact persons, information provision as well as bureaucratic difficulties were identified. Patients without a social network seem particularly in need for support. Identification of regional support offers shows that there are resources available to meet some of these needs. However, knowledge on such offers was not common among patients and caregivers. Navigators should provide practical support, give advice on social care issues and refer to existing support offers. Conclusions: Social networks crucial. Patients lack knowledge to use available resources. Navigation needs to be implemented within existing care structures to reach patients.


2019 ◽  
Vol 7 (5) ◽  
pp. 100-100 ◽  
Author(s):  
Remi Yoneyama ◽  
Hisashi Saji ◽  
Yasufumi Kato ◽  
Yujin Kudo ◽  
Yoshihisa Shimada ◽  
...  

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