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Publication-only abstracts (abstract number preceded by an "e"), published in conjunction with the 2019 ASCO Annual Meeting but not presented at the Meeting, can be found online only.

A joint model of tumor size dynamics and survival with new lesions in EGFR mutation-positive non-small cell lung cancer patients with treatment of gefitinib or carboplatin and paclitaxel.

Sub-category:
Metastatic Non-Small Cell Lung Cancer

Category:
Lung Cancer—Non-Small Cell Metastatic

Meeting:
2019 ASCO Annual Meeting

Abstract No:
e20697

Citation:
J Clin Oncol 37, 2019 (suppl; abstr e20697)

Author(s): James Dunyak, Hong Yan, Nidal Al-Huniti; AstraZeneca, Waltham, MA

Abstract Disclosures

Abstract:

Background: Tumor dynamics have been serving as significant predictors in diagnosis, staging, prognosis and treatment of patients with non-small cell lung cancer (NSCLC). The purpose of this study is to propose a joint model that links the longitudinal tumor burden to progression free survival (PFS) with the appearance of new lesion in a population of NSCLC patients with gefitinib treatment or Carboplatin/Paclitaxel. Methods: The model was extended to the estimation of new lesion based on a previously developed tumor size and survival joint model. The derivative of the tumor loads and the probability of new lesions served as biomarkers in the survival submodel. Parameters were estimated from the posterior distribution in a Bayesian framework and numerical study was realized with R and STAN. A total of 434 NSCLC patients with EGFR mutation positive treated with gefitinib or chemotherapy (carboplatin+paclitaxel) from IPASS (‘NCT00322452’) were used to construct the model. Predictions were performed on the IFUM study (‘NCT01203917’) with 102 EGFR mutation positive NSCLC patients. Results: The model performed well in PFS prediction in both within-sample and out-of-sample estimations. Further improvement of model specifications is necessary since the tumor load developing rate and appearance of new-lesion negatively impacted survival predictions. About 90% accuracy was realized by the joint model when recapitulating the outcomes from the response evaluation criteria in solid tumors (RECIST). The appearance of new lesion contributed less than tumor size in accommodating drug effect when comparing progression-specific hazards. Conclusions: This Bayesian joint model well recapitulated the outcomes from the RECIST with sequentially updated tumor size that linked to survival predictions. New insights of relative predictive values were provided by the joint model regarding the components of RESICT.

 
Other Abstracts in this Sub-Category:

 

1. Association of STK11/LKB1 genomic alterations with lack of benefit from the addition of pembrolizumab to platinum doublet chemotherapy in non-squamous non-small cell lung cancer.

Meeting: 2019 ASCO Annual Meeting Abstract No: 102 First Author: Ferdinandos Skoulidis
Category: Lung Cancer—Non-Small Cell Metastatic - Metastatic Non-Small Cell Lung Cancer

 

2. Real-world outcomes of patients with advanced non-small cell lung cancer (aNSCLC) and autoimmune disease (AD) receiving immune checkpoint inhibitors (ICIs).

Meeting: 2019 ASCO Annual Meeting Abstract No: 110 First Author: Sean Khozin
Category: Lung Cancer—Non-Small Cell Metastatic - Metastatic Non-Small Cell Lung Cancer

 

3. RELAY: A multinational, double-blind, randomized Phase 3 study of erlotinib (ERL) in combination with ramucirumab (RAM) or placebo (PL) in previously untreated patients with epidermal growth factor receptor mutation-positive (EGFRm) metastatic non-small cell lung cancer (NSCLC).

Meeting: 2019 ASCO Annual Meeting Abstract No: 9000 First Author: Kazuhiko Nakagawa
Category: Lung Cancer—Non-Small Cell Metastatic - Metastatic Non-Small Cell Lung Cancer

 

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