Real-World Data From a Molecular Tumor Board: Improved Outcomes in Breast and Gynecologic Cancers Patients With Precision Medicine

2022 ◽  
Author(s):  
Lindsey M. Charo ◽  
Ramez N. Eskander ◽  
Jason Sicklick ◽  
Ki Hwan Kim ◽  
Hyo Jeong Lim ◽  
...  
Keyword(s):  
Overall Survival ◽  
Multivariate Analysis ◽  
Next Generation Sequencing ◽  
Tumor Board ◽  
Breast Cancers ◽  
Next Generation ◽  
Overall Response ◽  
Improved Outcomes ◽  
Molecular Tumor Board ◽  
Generation Sequencing

PURPOSE Next-generation sequencing is increasingly used in gynecologic and breast cancers. Multidisciplinary Molecular Tumor Board (MTB) may guide matched therapy; however, outcome data are limited. We evaluate the effect of the degree of matching of tumors to treatment as well as compliance to MTB recommendations on outcomes. METHODS Overall, 164 patients with consecutive gynecologic and breast cancers presented at MTB were assessed for clinicopathologic data, next-generation sequencing results, MTB recommendations, therapy received, and outcomes. Matching score (MS), defined as percentage of alterations targeted by treatment over total pathogenic alterations, and compliance to MTB recommendations were analyzed in context of oncologic outcomes. RESULTS Altogether, 113 women were evaluable for treatment after MTB; 54% received matched therapy. Patients with MS ≥ 40% had higher overall response rate (30.8% v 7.1%; P = .001), progression-free survival (PFS; hazard ratio [HR] 0.51; 95% CI, 0.31 to 0.85; P = .002), and a trend toward improved overall survival (HR 0.64; 95% CI, 0.34 to 1.25; P = .082) in univariate analysis. The PFS advantage remained significant in multivariate analysis (HR 0.5; 95% CI, 0.3 to 0.8; P = .006). Higher MTB recommendation compliance was significantly associated with improved median PFS (9.0 months for complete; 6.0 months for partial; 4.0 months for no compliance; P = .004) and overall survival (17.1 months complete; 17.8 months partial; 10.8 months none; P = .046). Completely MTB-compliant patients had higher MS ( P < .001). In multivariate analysis comparing all versus none MTB compliance, overall response (HR 9.5; 95% CI, 2.6 to 35.0; P = .001) and clinical benefit (HR 8.8; 95% CI, 2.4 to 33.2; P = .001) rates were significantly improved with higher compliance. CONCLUSION Compliance to MTB recommendations resulted in higher degrees of matched therapy and correlates with improved outcomes in patients with gynecologic and breast cancers.

scholarly journals Next-Generation Sequencing in Order to Better Characterize a BRCA Variant of Uncertain Significance

2017 ◽  
Vol 10 (2) ◽  
pp. 634-637 ◽  
Author(s):  
Steven Sorscher ◽  
Shakti Ramkissoon
Keyword(s):  
Next Generation Sequencing ◽  
Germline Mutations ◽  
Allelic Frequency ◽  
Breast Cancers ◽  
Next Generation ◽  
Cancer Syndrome ◽  
Predisposing Factor ◽  
Variant Of Uncertain Significance ◽  
Uncertain Significance ◽  
Generation Sequencing

BRCA germline mutations are the most common predisposing factor in familial breast-ovarian cancer syndrome families. However, many screened patients are identified as harboring BRCA variants of uncertain significance (VUS), rather than carrying deleterious germline mutations [Calo et al.: Cancers 2010; 2:1644–1660]. While such VUSs are typically reclassified as benign polymorphisms, this may occur years after the VUS is first identified [Murray et al.: Genet Med 2011; 13; 998–1005]. Loss of heterozygosity (LOH) of BRCA is nearly always the gatekeeper event in inherited BRCA-related breast cancer and LOH of BRCA is rare in sporadic cancers [Osorio et al.: Int J Cancer 2002; 99:305–309]. Here, we describe a patient identified as carrying a germline BRCA VUS. Tumor next-generation sequencing (NGS) demonstrated a very high mutation allelic frequency for that BRCA VUS, consistent with LOH. This case illustrates that since BRCA LOH is the typical mechanism of transformation in inherited BRCA-related breast cancers, NGS might be used to suggest that the BRCA VUS is actually cancer predisposing in a particular family. As a result, this may help patients make more informed decisions regarding screening and prophylactic therapy, long before official reclassification of the VUS occurs.

Next-generation sequencing to identify predictors of survival after trimodality therapy for esophageal cancer.

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 153-153
Author(s):  
Patrick Oh ◽  
Minsi Zhang ◽  
Paul Brady ◽  
Smita Sihag ◽  
Daniela Molena ◽  
...  
Keyword(s):  
Overall Survival ◽  
Esophageal Cancer ◽  
Next Generation Sequencing ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Pathologic Response ◽  
Next Generation ◽  
Trimodality Therapy ◽  
Generation Sequencing ◽  
Mutation Profiling

153 Background: Tumor mutation profiling has changed the prognostication and treatment of a wide variety of malignances. However, little is known about whether mutation profiles affect outcome in localized esophageal cancer treated with multimodality therapy. SMAD4 is a gene involved in the regulation of the TGF-β signal transduction pathway by negatively controlling the growth of epithelial cells and has been implicated as a prognostic factor in pancreatic cancer. We undertook an exploratory analysis of tumor mutation profiles, including SMAD4 status, in localized esophageal cancer patients treated with trimodality therapy at our institution. Methods: We identified 66 Stage II-III esophageal cancer patients treated with chemoradiation followed by surgery who had some form of tumor mutation profiling available. Only patients with mutation profiling from pre-treatment biopsy or post-chemoradiation surgical specimen (i.e. not from a subsequent metastatic lesion) were included. Twenty-two patients underwent next-generation sequencing assessing 341 candidate genes via targeted sequencing. Log-rank test was used to assess correlation of mutations to overall survival, and to pathologic response. Results: The median follow-up was 17.1 months. SMAD4 loss was identified in 3 of 22 patients (13.6%) who underwent next-generation sequencing, and was significantly associated with inferior overall survival (p=0.023). No other candidate genes were significantly associated with survival, and no genes were significantly associated with pathologic response. Conclusions: To our knowledge, this is the first analysis of next-generation mutation profiling and outcome in non-metastatic esophageal cancer patients treated with trimodality therapy. Due to the limited numbers, this was an exploratory analysis only. We identified SMAD4 loss as a potential adverse prognostic factor for survival. More next-generation sequencing data from non-metastatic esophageal cancer patients treated with multimodality therapy is needed to further elucidate the potential relationship of SMAD4 loss or other mutations with outcome.

Clinical benefit of next generation sequencing in soft tissue and bone sarcoma: Rush University Medical Center’s experience.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e22552-e22552
Author(s):  
Mia C. Weiss ◽  
Alan Blank ◽  
Steven Gitelis ◽  
Mary J. Fidler ◽  
Marta Batus
Keyword(s):  
Overall Survival ◽  
Next Generation Sequencing ◽  
Soft Tissue ◽  
Clinical Decision Making ◽  
Soft Tissue Sarcomas ◽  
Bone Sarcoma ◽  
Next Generation ◽  
Undifferentiated Sarcoma ◽  
The Impact ◽  
Generation Sequencing

e22552 Background: The overall survival for metastatic sarcoma has remained at only 18-20%. In the era of next generation sequencing (NGS), much research is ongoing on identifying optimal treatments. The MULTISARC trial aims to determine if NGS can lead to improved overall survival by randomizing patients with metastatic STS to receive NGS (followed by possible NGS-guided therapy) or not. We present our center’s experience with NGS in sarcomas patients. Methods: Patients with soft tissue and bone sarcomas at Rush that had the Foundation Medicine assay sent on tumor samples between August 2017 and August 2018 were analyzed retrospectively. The impact of NGS on clinical decision making was determined based on patients being prescribed off-label FDA-approved therapy targeting identified mutation. Results: Thirty-four patients with bone/soft tissue sarcomas that had NGS sent on specimens were identified. Median age at diagnosis: 43 (18-78 years); 18 males, 16 females. Histologic subtypes: synovial sarcoma, myxofibrosarcoma, leiomyosarcoma, chondrosarcoma, sclerosing epitheloid fibrosarcoma, PEcoma, pleomorphic undifferentiated sarcoma, MPNST, liposarcoma- well and de-differentiated, angiosarcoma, osteosarcoma. 16/34 patients had targetable mutations with approved therapies in tumor types other than sarcoma. Four of these patients had therapy changed based on NGS results, 1 patient with metastatic chondrosarcoma (PTEN mutation, everolimus added), 1 patient with metastatic liposarcoma (CDK4 mutation, palbociclib added), 1 patient with metastatic osteosarcoma (CCD1/CDK4 and a PDGFRA mutation for which palbociclib followed by imatinib was added), and 1 patient with metastatic pleomorphic undifferentiated sarcoma (CDK4 mutation, palbociclib added). Targetable mutations for which clinical trials are available were identified in 25/34 (73%) of the cases. Conclusions: NGS was readily able to identify actionable mutations in close to 50% of patients with clinical trial opportunities in close to 75%. Four patients had therapy changed as a result of NGS testing. Although our study size is small, our data show potential for the use of genomic profiling to identify actionable targets, tailor therapy, and hopefully improve outcomes. [Table: see text]

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