Litière, Saskia

10602 Background: Progressive disease (PD) according to RECIST 1.1 (Eisenhauer et al, 2009) is defined as one or more of (1) PD of measurable target lesions, (2) the presence of a new lesion (NL) or (3) the unequivocal PD of non-target disease (NT-PD). We explored the impact of these components, varying over time, on predicting overall survival (OS) in the RECIST database residing at EORTC (Bogaerts et al, 2009). Methods: Data was selected from 12 randomized clinical trials (3530 patients with breast, lung or colorectal cancer). A maximum of 5 target lesions was used to determine the sum of diameters. The following were calculated or assigned at each measurement time t: best response (BR) was best % improvement from baseline up to t (0% if no improvement - 100% if complete response (CR)); tumor growth (TG) was the weekly rate of increase from nadir to t (0 if no increase; irrespective of prior shrinkage), presence of NL (yes/no), and occurrence of NT-PD (yes/no); categories were not mutually exclusive. OS was analyzed by tumor type using a Cox regression model, adjusting for baseline sum, and including BR, TG, presence of NL and NT-PD as time dependent covariates. Results: Thirty-six percent of patients had NL, 26% had NT-PD, 11% achieved CR and 14% did not have shrinkage of target lesions, while 46% experienced TG (median strongest growth per patient of 0.5 mm/week). Regardless of tumor type, the presence of NL (Hazard Ratio (HR) ranging 1.4-2.5), NT-PD (HR 1.2-2.5) and TG (per 1mm/week increase; HR 1.1-1.4) were associated with worse OS, while achieving CR was associated with a longer OS (HR 0.2-0.8). Further analyses exploring the functional shape of the association between BR and TG, and OS are ongoing. This includes putting TG in contrast with the more usual % cutoff defining target PD. Conclusions: All three components of PD according to RECIST are independently strongly associated with OS. Quantification such as this will enable a better understanding of the role of each component (e.g. clinical aspect of NT-PD assessment) in PD evaluation. Work is ongoing to incorporate this information into an updated RECIST with enhanced prediction of subsequent survival.

PURPOSE The mode of action of targeted cancer agents (TCAs) differs from classic chemotherapy, which leads to concerns about the role of RECIST in evaluating tumor response in trials with TCAs. We investigated the performance of RECIST using a pooled database from 50 clinical trials with at least one TCA. METHODS We examined the impact of the number of target lesions (TLs) on within-patient variability of tumor response. The prognostic effect of TL response (at 12 weeks or on study on the basis of a maximum five TLs) on survival was studied through landmark and time-dependent Cox models adjusted for baseline tumor load, occurrence of new lesions, or unequivocal progression of nontarget disease. RESULTS Data were obtained from 23,259 patients with cancer (36% lung, 28% colorectal, 11% breast, and 25% other); 15,620 received TCAs, predominantly transduction or angiogenesis inhibitors, as a single agent (37%), combined with other TCAs (7%), or as chemotherapy (56%); 28% received chemotherapy only; and 5% received best supportive care or placebo. A total of 17,222 patients contributed to the analyses. Within-patient variability decreased with increasing number of TLs, similarly for TCAs (with/without chemotherapy) and chemotherapy only. Mixed responses occurred proportionally in all treatment classes. Landmark analyses showed an ordinal relationship between percentage change from baseline to 12 weeks and overall survival, and demonstrated a clear distinction between tumor shrinkage and progressive disease according to RECIST. Time-dependent analysis showed no marked improvement in the ability to predict survival on the basis of TL tumor growth compared with nontarget progression or new lesion occurrence, regardless of treatment. Similar results were seen for major tumor types and different classes of TCAs. CONCLUSION This work reinforces that RECIST version 1.1 perform well for response assessment of TCAs.

2534 Background: The Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 were derived from an international collaborative effort supported by data from clinical trials (16 studies, 9147 patients) on cytotoxic chemotherapy (CT), providing a standard tool for response assessment. RECIST’s role has been questioned for TCA. Using a pooled individual patient database (IPD) from clinical trials performed by industry and cooperative groups, we assessed whether modifications to RECIST are required to evaluate antitumor activity of TCA. Methods: Data were collected from phase 2 and 3 clinical trials testing TCA in solid tumors. To study the occurrence of mixed responses, the variability of response of lesions within patients was studied. Furthermore, response was correlated with survival through landmark analyses and time dependent Cox models. Results: Clinical data were obtained from 23,259 patients, mainly with lung (36%), colorectal (28%) or breast cancer (11%). 15,620 patients (67%) received a TCA, mainly transduction or angiogenesis inhibitors, either as single agent (37%) or combined with other TCAs (7%) or CT (56%); 28% received CT only and 5% best supportive care or placebo. Within-patient variability reduced as the number of lesions used for response assessment increased, and did so similarly for TCAs (+/- CT) and CT. Mixed responses seemed to occur similarly across these treatment categories as well. Landmark analyses showed improving overall survival by % tumor shrinkage and a clear distinction between the effect of tumor shrinkage and progressive disease (PD) according to RECIST 1.1. This was confirmed by time dependent analysis. In addition target lesion growth showed no marked improvement in overall survival prediction over and above the other components of RECIST 1.1 PD (new lesions, non-target PD), regardless of treatment (TCA, CT or both) received. Similar results were seen focusing on major tumor types and classes of TCA. Conclusions: Using a large IPD dataset we demonstrated that RECIST 1.1 performs equally well for response assessment of TCA as for CT. No modifications are required.