Implementation of clinical sequencing for molecular profiling in patients with advanced cancer

2021 ◽  
pp. 1-8
Author(s):  
Tomoya Fukui ◽  
Kazuko Sakai ◽  
Jiichiro Sasaki ◽  
Mikiko Ishihara Kakegawa ◽  
Satoshi Igawa ◽  
...  

BACKGROUND: The advancement of cancer genomics has allowed for multiplex gene assays using next-generation sequencing (NGS) to be practically implemented, however, a clinical practice system remains to be established. OBJECTIVE: We evaluated the feasibility of clinical sequencing using NGS-based multiplex gene assays between cooperating medical institutions in patients with advanced cancers. METHODS: In this observational study, DNA and RNA samples prepared from existing tumor tissues were subjected to comprehensive genomic profiling using targeted sequencing. RESULTS: From January 2017 to March 2019, 36 samples from 33 patients were assessed. Of all patients, 27 (82%) had lung cancer, with the median age of 50 years (range 38–83). Multiplex gene panel tests were successfully carried out on 35/36 (97%) samples. Potentially actionable gene alterations were identified in 10/30 (33%) samples (3 HER2, 2 KRAS, 2 ALK, 1 PIK3CA, 1 RET, and 1 CDKN2A). In the 6 samples examined for resistant mechanisms, ALK I1171N mutation and MET copy number gain were detected in 2 patients with ALK rearrangement-positive lung cancer. CONCLUSIONS: Clinical sequencing using NGS-based multiplex gene assays between collaborating domestic medical institutions was feasible, with a success rate of > 97%. Overall, clinical sequencing benefits therapeutic decision-making in patients with advanced cancer.

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 609
Author(s):  
Caterina Fumagalli ◽  
Elena Guerini-Rocco ◽  
Massimo Barberis

Personalized cancer therapy matches the plan of treatment with specific molecular alterations [...]


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wang ◽  
Zhixuan Ren ◽  
Bentong Yu ◽  
Jian Tang

Abstract Introduction Immune checkpoint inhibitors (ICIs) have become a frontier in the field of clinical technology for advanced non-small cell lung cancer (NSCLC). Currently, the predictive biomarker of ICIs mainly including the expression of PD-L1, TMB, TIICs, MMR and MSI-H. However, there are no official biomarkers to guide the treatment of ICIs and to determine the prognosis. Therefore, it is essential to explore a systematic nomogram to predict the prognosis of ICIs treatment in NSCLC Methods In this work, we obtained gene expression and clinical data of NSCLC patients from the TCGA database. Immune-related genes (IRGs) were downloaded from the ImmPort database. The detailed clinical annotation and response data of 240 advanced NSCLC patients who received ICIs treatment were obtained from the cBioPortal for Cancer Genomics. Kaplan–Meier survival analysis was used to perform survival analyses, and selected clinical variables to develop a novel nomogram. The prognostic significance of FGFR4 was validated by another cohort in cBioPortal for Cancer Genomics. Results 3% of the NSCLC patients harbored FGFR4 mutations. The mutation of FGFR4 were confirmed to be associated with PD-L1, and TMB. Patients harbored FGFR4 mutations were found to have a better prolonged progression-free survival (PFS) to ICIs treatment (FGFR4: P = 0.0209). Here, we built and verified a novel nomogram to predict the prognosis of ICIs treatment for NSCLC patients. Conclusion Our results showed that FGFR4 could serve as novel biomarkers to predict the prognosis of ICIs treatment of advanced NSCLC. Our systematic prognostic nomogram showed a great potential to predict the prognosis of ICIs for advanced NSCLC patients.


2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 59-59
Author(s):  
Woojung Lee ◽  
Scott Spencer ◽  
Josh John Carlson ◽  
Tam Dinh ◽  
Victoria Dayer ◽  
...  

59 Background: The use of comprehensive genomic profiling (CGP) in cancer patients could lead to additional enrollment in clinical trials that study novel genetic biomarkers, potentially reducing treatment costs for payers and improving health outcomes for patients. Our objective was to estimate the number of additional clinical trials in which patients with non-small cell lung cancer (NSCLC) could potentially enroll due to the use of CGP vs. a comparator panel of 50 genes or less. Methods: Clinical trials in NSCLC that started between 2015 - 2020 were identified from the Aggregate Analysis of ClinicalTrials.gov (AACT) database. Trials with unknown status or study sites outside the United States only were excluded. We abstracted information on required genetic alterations based on the study eligibility criteria. We calculated the incremental number of trials available to patients due to results generated by CGP (FoundationOne CDx, 324 genes) vs. a commercially available comparator panel that was 50 genes or less (Oncomine Dx Target Test, 23 genes) by phase and calendar year. The additional trials were characterized by disease severity, type of therapy, and setting. Results: Enrollment eligibility was dependent on genetic variant status in 35% (250/709) of all identified NSCLC trials. There were 29 (248 vs. 219) additional clinical trials available to patients through the use of CGP, 12% of all gene-specific trials for NSCLC. We identified 45 uses of genetic markers in the 29 additional clinical trials. The most frequent genetic marker in the incremental trials was microsatellite instability, accounting for 44% of all identified markers (20/45). The incremental number of trials available to patients due to the use of CGP did not vary significantly over time but varied by phase – most of the additional clinical trials were in phase 1 or 2 (28/29, 97%). Most of the incremental trials were in metastatic disease (22/29, 76%) and were conducted in academic or advanced community settings (18/29, 62%). The most frequently studied type of intervention in these studies was targeted monotherapy (8/29, 28%), followed by immuno-monotherapy (7/29, 24%). Conclusions: Clinical trials in NSCLC initiated over the past 5 years have consistently included CGP-specific genes or markers in eligibility criteria. Patients with NSCLC have the potential to benefit from the use of CGP as compared to smaller gene panels through improved access to clinical trials.[Table: see text]


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 2638-2638
Author(s):  
Yongjie Wang ◽  
Ronghua Yang ◽  
Dong Wang ◽  
Donghua Zhao ◽  
Peng Li ◽  
...  

2638 Background: Immune checkpoint inhibitors (ICIs), such as programmed death(ligand)1 (PD-(L)1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) inhibitors, have dramatic effects on treatment in patients with various malignancies. High tumor mutation burden (TMB) is predictive of clinical response to ICI in multiple cancer types. Although age-related immune dysfunction might induce difference on the efficacy of ICIs between younger and older patients, the potential effect of age on the efficacy of ICIs remains little known and controversial. Herein, we aimed to analysis the association between age and the efficacy of ICIs based on MSKCC cohort. Methods: We screened out 1661 patients having complete information with advanced cancer, whose tumors underwent next-generation sequencing (NGS) detection and who were treated with at least one dose of ICI in MSKCC cohort. All patients were divided into two groups according to age, the younger group (age ≤50-year old) and the older group (age > 50-year old). We further analyzed the differences in overall survival (OS) and TMB between the two groups. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated via Cox regression model for OS and P-values were calculated via the Wilcoxon sign test for TMB. We analyzed the effect of age on ICI in lung cancer using the same way. Results: In 1661 patients with cancer in our study, 312 (19%) younger and 1349 (81%) older patients were found. The pooled HRs for OS was 1.28 (95% CI: 1.09-1.52) in younger group compared with older group. In 1661 patients with cancer, there was 350 (21%) patients with lung cancer, including 30 (9%) younger and 320 (91%) older patients. The pooled HRs for OS was 1.45 (95% CI: 0.95-2.23) in younger group compared with older group in lung cancer. In addition, TMB in older group was higher than in younger group and significant difference of TMB was found via the Wilcoxon sign test (p = 2.6e-10) between the two groups, especially in lung cancer (p = 1e-4). Conclusions: Our study assessed the impact of age on the efficacy of ICIs using the threshold of 50 years old for the first time and we founded that patients in older group had higher TMB and longer OS than younger group.


2019 ◽  
Vol 14 (4) ◽  
pp. 726-731 ◽  
Author(s):  
Chao Zhang ◽  
Shao-lei Li ◽  
Qiang Nie ◽  
Song Dong ◽  
Yang Shao ◽  
...  

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