scholarly journals Growth modulation index (GMI) as a comparative measure of clinical activity of larotrectinib versus prior systemic treatments in adult and pediatric TRK fusion cancer patients

2019 ◽  
Vol 30 ◽  
pp. v183-v184
Author(s):  
A. Italiano ◽  
S. Nanda ◽  
K. Keating ◽  
B.H. Childs ◽  
M. Fellous ◽  
...  
2020 ◽  
Vol 31 ◽  
pp. S473-S474
Author(s):  
A. Italiano ◽  
D.S. Hong ◽  
A. Briggs ◽  
J. Garcia-Foncillas ◽  
U.N. Lassen ◽  
...  

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15638-e15638
Author(s):  
Antoine Italiano ◽  
David S. Hong ◽  
Andrew Briggs ◽  
Jesus Garcia-Foncillas ◽  
Ulrik Niels Lassen ◽  
...  

e15638 Background: Larotrectinib is a highly selective TRK inhibitor that demonstrated high response rates and durable disease control in three phase I/II single-arm studies of patients (pts) with TRK fusion cancer. While single-arm studies are often used for rare cancer populations, they do not provide comparative data. GMI utilizes pts as their own control and can be used in this setting. GMI is the ratio of progression-free survival (PFS) on the current therapy to time to progression (TTP) on the most recent prior line of therapy. A GMI ≥1.33 has been used as a threshold of meaningful clinical activity. We report GMI for TRK fusion cancer pts treated with larotrectinib. Methods: Data were pooled from 3 clinical trials of pts with TRK fusion cancer treated with larotrectinib. A retrospective, exploratory analysis of GMI was conducted in pts who had been on larotrectinib and followed up for ≥6 mos or pts who discontinued early, and had ≥1 prior line of systemic treatment for locally advanced or metastatic disease. TTP on the prior line of therapy was investigator assessed. PFS on larotrectinib was determined by independent review committee per RECIST 1.1. Pts who had not progressed were not censored from the analysis. Results: As of July 15, 2019, 122 pts were eligible for analysis. Fifteen different tumor types were represented, the most common being soft tissue sarcoma in 26 pts (21%), infantile fibrosarcoma in 22 (18%), and thyroid in 21 (17%). Median GMI was 3.35 (range 0.00–337.00; Table); In metastatic pts (n = 81), the proportion with a GMI ≥1.33 was higher in pts with a complete or partial response vs non-responders (88% vs 42%). In the whole analysis set (N = 122), median TTP on prior line of treatment was 2.7 mos (95% CI 2.0–3.1) and median PFS on larotrectinib was 33.4 mos (95% CI 13.8–NE; HR 0.20 [95% CI 0.14–0.29]). In metastatic pts (n = 81), median TTP on prior line of treatment was 2.3 mos (95% CI 1.9–3.0) and median PFS on larotrectinib was 23.4 mos (95% CI 10.9–NE; HR 0.24 [95% CI 0.16–0.36]). Conclusions: Greater than two-thirds of pts with TRK fusion cancer treated with larotrectinib had a GMI ≥1.33, demonstrating a clinically meaningful improvement in PFS compared to TTP on their prior treatment. Clinical trial information: NCT02122913, NCT02576431, NCT02637687.


2018 ◽  
Vol 9 (5) ◽  
pp. 909-919 ◽  
Author(s):  
Sophie A. Kurk ◽  
Petra H.M. Peeters ◽  
Bram Dorresteijn ◽  
Pim A. de Jong ◽  
Marion Jourdan ◽  
...  

Author(s):  
F Ayala de la Peña ◽  
A Ivars Rubio ◽  
P de la Morena Barrio ◽  
A Fernández Sánchez ◽  
G Luengo Gil ◽  
...  

2000 ◽  
Vol 46 (8) ◽  
pp. 1106-1113 ◽  
Author(s):  
György Sölétormos ◽  
Vibeke Schiøler

Abstract It is time-consuming to process and compare the clinical and marker information registered during monitoring of breast cancer patients. To facilitate the assessment, we developed a computer program for interpreting consecutive measurements. The intraindividual biological variation, the analytical precision profile, the cutoff limit, and the detection limit for each marker are entered and stored in the program. The assessment procedure for marker signals considers the analytical and biological variation of the applied markers. The software package contains a database that can store the interpretation of the measurements as evaluation codes together with patient demographics, information about treatment type, dates for treatment periods, control periods, and evaluation codes for clinical activity of disease. The consecutive concentrations for a patient are imported temporarily into the program from outside sources and presented graphically. Marker concentrations to be compared are selected with the computer mouse and the significance of the difference is calculated by the program. The program has an option for calculating the lead time of marker signals vs clinical information. The program facilitates the monitoring of individual breast cancer patients with tumor marker measurements. It may also be implemented in trials investigating the utility of potential new markers in breast cancer as well as in other malignancies.


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