scholarly journals Use of Precision Medicine Molecular Profiling of Baseline Tumor Specimen May Not Benefit Outcomes in Children With Relapsed or Refractory Pediatric Sarcomas

2017 ◽  
Vol 101 (3) ◽  
pp. 328-330
Author(s):  
J Carter ◽  
L Cheng ◽  
J Zucker ◽  
M Marshall ◽  
K Pollok ◽  
...  
2018 ◽  
Vol 24 (2) ◽  
pp. 93-103 ◽  
Author(s):  
Camila D.M. Campos ◽  
Joshua M. Jackson ◽  
Małgorzata A. Witek ◽  
Steven A. Soper

2017 ◽  
Vol 471 (2) ◽  
pp. 243-255 ◽  
Author(s):  
Tariq Al-Zaid ◽  
Wei-Lien Wang ◽  
Neeta Somaiah ◽  
Alexander J. Lazar

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Apostolia-Maria Tsimberidou ◽  
David S. Hong ◽  
Jennifer J. Wheler ◽  
Gerald S. Falchook ◽  
Filip Janku ◽  
...  

Abstract Background In 2007, we initiated IMPACT, a precision medicine program for patients referred for participation in early-phase clinical trials. We assessed the correlation of factors, including genomically matched therapy, with overall survival (OS). Patients and methods We performed molecular profiling (Clinical Laboratory Improvement Amendments) (genes ≤ 182) for patients with lethal/refractory advanced cancers referred to the Phase 1 Clinical Trials Program. Matched therapy, if available, was selected on the basis of genomics. Clinical trials varied over time and included investigational drugs against various targets (single agents or combinations). Patients were followed up for up to 10 years. Results Of 3487 patients who underwent tumor molecular profiling, 1307 (37.5%) had ≥ 1 alteration and received therapy (matched, 711; unmatched, 596; median age, 57 years; 39% men). Most common tumors were gastrointestinal, gynecologic, breast, melanoma, and lung. Objective response rates were: matched 16.4%, unmatched 5.4% (p < .0001); objective response plus stable disease ≥ 6 months rates were: matched 35.3% and unmatched 20.3%, (p < .001). Respective median progression-free survival: 4.0 and 2.8 months (p < .0001); OS, 9.3 and 7.3 months; 3-year, 15% versus 7%; 10-year, 6% vs. 1% (p < .0001). Independent factors associated with shorter OS (multivariate analysis) were performance status > 1 (p < .001), liver metastases (p < .001), lactate dehydrogenase levels > upper limit of normal (p < .001), PI3K/AKT/mTOR pathway alterations (p < .001), and non-matched therapy (p < .001). The five independent factors predicting shorter OS were used to design a prognostic score. Conclusions Matched targeted therapy was an independent factor predicting longer OS. A score to predict an individual patient’s risk of death is proposed. Trial registration ClinicalTrials.gov, NCT00851032, date of registration February 25, 2009.


Oncotarget ◽  
2015 ◽  
Vol 6 (38) ◽  
pp. 40642-40654 ◽  
Author(s):  
Vivek Subbiah ◽  
Michael J. Wagner ◽  
Mary F. McGuire ◽  
Nawid M. Sarwari ◽  
Eswaran Devarajan ◽  
...  

2021 ◽  
Vol 11 (10) ◽  
pp. 1019
Author(s):  
Vianney Gilard ◽  
Stéphane Derrey ◽  
Stéphane Marret ◽  
Soumeya Bekri ◽  
Abdellah Tebani

Since the inception of their profession, neurosurgeons have defined themselves as physicians with a surgical practice. Throughout time, neurosurgery has always taken advantage of technological advances to provide better and safer care for patients. In the ongoing precision medicine surge that drives patient-centric healthcare, neurosurgery strives to effectively embrace the era of data-driven medicine. Neuro-oncology best illustrates this convergence between surgery and precision medicine with the advent of molecular profiling, imaging and data analytics. This convenient convergence paves the way for new preventive, diagnostic, prognostic and targeted therapeutic perspectives. The prominent advances in healthcare and big data forcefully challenge the medical community to deeply rethink current and future medical practice. This work provides a historical perspective on neurosurgery. It also discusses the impact of the conceptual shift of precision medicine on neurosurgery through the lens of neuro-oncology.


2016 ◽  
Vol 34 (15_suppl) ◽  
pp. 2539-2539 ◽  
Author(s):  
Alice P. Chen ◽  
Mickey Williams ◽  
Shivaani Kummar ◽  
Chih-Jian Lih ◽  
Vivekananda Datta ◽  
...  

2019 ◽  
Vol 25 (5) ◽  
pp. 711-712 ◽  
Author(s):  
Christophe Le Tourneau ◽  
Edith Borcoman ◽  
Maud Kamal

2015 ◽  
Vol 108 (4) ◽  
pp. djv362 ◽  
Author(s):  
Christophe Le Tourneau ◽  
Maud Kamal ◽  
Apostolia-Maria Tsimberidou ◽  
Philippe Bedard ◽  
Gaëlle Pierron ◽  
...  

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 33-33
Author(s):  
Yang Liu ◽  
Shuangtao Zhao ◽  
Changying Changying Jiang ◽  
Yixin Yao ◽  
Joseph McIntosh ◽  
...  

Background: Mantle cell lymphoma (MCL) is an aggressive B-cell malignancy that is initially responsive but ultimately relapses after frontline therapy. Although the first-in-class Bruton's tyrosine kinase (BTK) inhibitor ibrutinib has achieved a 68% overall response rate in relapsed/refractory MCL patients, most experience disease progression after ibrutinib treatment. Furthermore, the diverse heterogeneity of molecular alterations in each patient makes improving patient outcome with a uniform regimen extremely challenging. Therefore, identification of effective drug therapies, especially personalized therapeutic strategies are urgently needed. In this study, clinical patient samples were submitted for molecular profiling analysis to identify the dysregulated pathways for each patient. Isolated tumor cells underwent an in vitro drug screen with a panel of clinic drug candidates. Final in vivo efficacy evaluation on the patient derived xenograft (PDX) mouse models could be utilized to predict and validate the clinical response. Methods: We collected fresh peripheral blood specimens, surgical biopsies, bone marrow aspirates and apheresis samples under established IRB-approved protocols. The extracted tumor RNA was subjected to a CLIA-validated nanoString nCounter analysis to interrogate the dysregulated signaling pathways, and whole-exome sequencing (WES) was conducted to reveal the somatic mutations and DNA copy number alterations. High throughput cell viability assays of 23 clinical drug agents targeting multiple pathways associated with MCL pathogenesis were tested per patient sample using the CellTiter-Glo luminescent assay (Promega). Meanwhile, subcutaneous, intravenous and subrenal injections of the purified patient tumor cells were performed on NSG-mice to create corresponding PDX mouse models and these models were used for in vivo validation of rational therapeutic treatment options for precision medicine. Results: We collected and submitted 21 clinical patient samples for molecular profiling analysis and screened them through the designed drug panel. We identified correlations between the WES and nanoString nCounter analysis to interrogate the dysregulated pathways for each patient. The PI3K/mTOR signaling, cell cycle regulation, and apoptosis pathways were among the three most markedly enriched pathways in the relapsed MCL samples based on the hallmark gene set analysis. For example, aberrant apoptosis pathway was identified as the predominant cancer hallmark in one of the patients, the Bcl-2 inhibitor venetoclax and MCL-1 inhibitor AZD5991 were chosen as rational therapeutic treatment options. Indeed, both venetoclax and AZD5991 dramatically induced cell death in both primary patient cells and isolated PDX tumor cells ex vivo. Furthermore, administration of venetoclax at 50mg/kg eradicated the tumor growth in the PDX mouse model established from this patient (p&lt;0.001). In another patient, dysregulated cell cycle pathway (E2F targets and G2M checkpoint) was the predominant cancer hallmark and treatment with CDK4/6 inhibitor abemaciclib (75mg/kg) significantly decreased the tumor size in the PDX model derived from this patient (p&lt;0.0001). Conclusions: Interrogation of dysregulated pathways could be achieved by molecular profiling analysis, and suggest rational treatment options. Follow-up in vitro & in vivo drug efficacy determination facilitates the identification of potential therapeutic options for precision medicine in MCL patient to ultimately improve patient survival outcome. Disclosures Wang: AstraZeneca: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; Molecular Templates: Research Funding; Celgene: Consultancy, Other: Travel, accommodation, expenses, Research Funding; OncLive: Honoraria; Nobel Insights: Consultancy; InnoCare: Consultancy; Lu Daopei Medical Group: Honoraria; Beijing Medical Award Foundation: Honoraria; Guidepoint Global: Consultancy; Pulse Biosciences: Consultancy; Oncternal: Consultancy, Research Funding; Pharmacyclics: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; Janssen: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; MoreHealth: Consultancy; VelosBio: Research Funding; BioInvent: Research Funding; Juno: Consultancy, Research Funding; Kite Pharma: Consultancy, Other: Travel, accommodation, expenses, Research Funding; Acerta Pharma: Research Funding; Verastem: Research Funding; Loxo Oncology: Consultancy, Research Funding; Targeted Oncology: Honoraria; Dava Oncology: Honoraria; OMI: Honoraria, Other: Travel, accommodation, expenses.


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