Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine

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 molecula...

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Main Authors: Apostolia-Maria Tsimberidou, David S. Hong, Jennifer J. Wheler, Gerald S. Falchook, Filip Janku, Aung Naing, Siqing Fu, Sarina Piha-Paul, Carrie Cartwright, Russell R. Broaddus, Graciela M. Nogueras Gonzalez, Patrick Hwu, Razelle Kurzrock
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Journal of Hematology & Oncology
Subjects:
Online Access:https://doi.org/10.1186/s13045-019-0835-1
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author Apostolia-Maria Tsimberidou
David S. Hong
Jennifer J. Wheler
Gerald S. Falchook
Filip Janku
Aung Naing
Siqing Fu
Sarina Piha-Paul
Carrie Cartwright
Russell R. Broaddus
Graciela M. Nogueras Gonzalez
Patrick Hwu
Razelle Kurzrock
spellingShingle Apostolia-Maria Tsimberidou
David S. Hong
Jennifer J. Wheler
Gerald S. Falchook
Filip Janku
Aung Naing
Siqing Fu
Sarina Piha-Paul
Carrie Cartwright
Russell R. Broaddus
Graciela M. Nogueras Gonzalez
Patrick Hwu
Razelle Kurzrock
Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine
Journal of Hematology & Oncology
Personalized medicine
Phase I
Clinical trials
Targeted therapy
Genomic profiling
Precision oncology
author_facet Apostolia-Maria Tsimberidou
David S. Hong
Jennifer J. Wheler
Gerald S. Falchook
Filip Janku
Aung Naing
Siqing Fu
Sarina Piha-Paul
Carrie Cartwright
Russell R. Broaddus
Graciela M. Nogueras Gonzalez
Patrick Hwu
Razelle Kurzrock
author_sort Apostolia-Maria Tsimberidou
title Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine
title_short Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine
title_full Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine
title_fullStr Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine
title_full_unstemmed Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine
title_sort long-term overall survival and prognostic score predicting survival: the impact study in precision medicine
publisher BMC
series Journal of Hematology & Oncology
issn 1756-8722
publishDate 2019-12-01
description 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.
topic Personalized medicine
Phase I
Clinical trials
Targeted therapy
Genomic profiling
Precision oncology
url https://doi.org/10.1186/s13045-019-0835-1
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spelling doaj-104ff192ed164bfea419fe086138f71a2021-01-03T12:02:23ZengBMCJournal of Hematology & Oncology1756-87222019-12-0112111210.1186/s13045-019-0835-1Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicineApostolia-Maria Tsimberidou0David S. Hong1Jennifer J. Wheler2Gerald S. Falchook3Filip Janku4Aung Naing5Siqing Fu6Sarina Piha-Paul7Carrie Cartwright8Russell R. Broaddus9Graciela M. Nogueras Gonzalez10Patrick Hwu11Razelle Kurzrock12Department of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterDepartment of Pathology, The University of Texas MD Anderson Cancer CenterDepartment of Biostatistics, The University of Texas MD Anderson Cancer CenterDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer CenterDepartment of Investigational Cancer Therapeutics, Phase I Clinical Trials Program, Unit 455, The University of Texas MD Anderson Cancer CenterAbstract 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.https://doi.org/10.1186/s13045-019-0835-1Personalized medicinePhase IClinical trialsTargeted therapyGenomic profilingPrecision oncology