Experience with second-line trabectedin in daily clinical practice: case studies.

As a recommended second-line option for advanced soft tissue sarcoma, trabectedin can provide the necessary balance between long-term tumor control and preserved quality of life. Three case studies illustrate the long-lasting responses that patients can achieve with second-line trabectedin. A female patient with metastatic leiomyosarcoma maintained disease control for 2 years with trabectedin (× 41 cycles) with excellent tolerability and no relevant adverse events. At the time of writing, a male patient with a metastatic solitary fibrous tumor was asymptomatic after 30 cycles of trabectedin and treatment was ongoing. A young male patient with a recurrent, nonresectable, retroperitoneal myxoid/round cell liposarcoma was able to continue his sporting activities (triathlons) over 2 years with trabectedin (× 14 cycles) plus watchful waiting.

Phase II trial design with growth modulation index as the primary endpoint.

Molecularly targeted, genomic-driven, and immunotherapy-based clinical trials continue to be advanced for the treatment of relapse or refractory cancer patients, where the growth modulation index (GMI) is often considered a primary endpoint of treatment efficacy. However, there little literature is available that considers the trial design with GMI as the primary endpoint. In this article, we derived a sample size formula for the score test under a log-linear model of the GMI. Study designs using the derived sample size formula are illustrated under a bivariate exponential model, the Weibull frailty model, and the generalized treatment effect size. The proposed designs provide sound statistical methods for a single-arm phase II trial with GMI as the primary endpoint.

Correlation between overall survival and growth modulation index in pre-treated sarcoma patients: a study from the French Sarcoma Group.

BACKGROUND: Growth modulation index (GMI), the ratio of two times to progression measured in patients receiving two successive treatments (GMI = TTP2/TTP1), has been proposed as a criterion of phase II clinical trials. Nevertheless, its use has been limited until now. PATIENTS AND METHODS: We carried out a retrospective multicentre study in soft tissue sarcoma patients receiving a second-line treatment after doxorubicin-based regimens to evaluate the link between overall survival and GMI. Second-line treatments were classified as 'active' according to the EORTC-STBSG criteria (3-month progression-free rate >40% or 6-month PFR >14%). Comparisons used chi-squared and log-rank tests. RESULTS: The population consisted in 106 men and 121 women, 110 patients (48%) received 'active drugs'. Median OS from the second-line start was 317 days. Sixty-nine patients experienced GMI >1.33 (30.4%). Treatments with 'active drug' were not associated with OS improvement: 490 versus 407 days (P = 0.524). Median OS was highly correlated with GMI: 324, 302 and 710 days with GMI <1, GMI = [1.00-1.33], and GMI >1.33, respectively (P < 0.0001). In logistic regression analysis, the sole predictive factor was the number of doxorubicin-based chemotherapy cycles. CONCLUSION: GMI seems to be an interesting end point that provides additional information compared with classical criteria. GMI >1.33 is associated with significant OS improvement.

Evaluation of the relevance of the growth modulation index (GMI) from the FFCD 0307 randomized phase III trial comparing the sequence of two chemotherapeutic regimens.

BACKGROUND: Precision medicine trials disrupted the paradigm of randomized controlled trials in large populations. Patient selection may be based on molecular alterations rather than on primary tumor location. In small patient populations, the growth modulation index (GMI) has been developed to evaluate treatment efficacy by using each patient as its own control. The FFCD 0307 randomized phase III trial compared two sequences of chemotherapy in advanced gastric cancer, which represents a unique opportunity to evaluate the relevance of the GMI. PATIENTS AND METHODS: In the FFCD 0307 trial, patients with advanced gastric cancer were randomized between two chemotherapy sequences [ECX followed by FOLFIRI at disease progression (arm A) versus FOLFIRI followed by ECX (arm B)]. GMI was defined as the ratio of the progression-free survival on second treatment (PFS2) to the time to progression on first treatment (TTP1). Sequence benefit was defined as a GMI exceeding 1.3 (GMI-high). GMI was correlated with overall survival (OS). OS1 and OS2 were measured from first randomization and second-line failure to death. RESULTS: Four hundred and sixteen patients were randomized (209 in arm A, 207 in arm B). One hundred and seventy-five patients (42%) received the two sequences and were assessable for GMI (97 in arm A, 79 in arm B). The median GMI was higher in arm A than in arm B (0.62 versus 0.47, P = 0.04). Patients with a high GMI had a longer OS1 (median 14.9 versus 11.5 months, NS). Median OS2 was doubled in the GMI-high group (3.4 versus 1.6 months, NS). CONCLUSION: GMI analyses suggest that ECX followed by FOLFIRI might represent a better therapeutic strategy than FOLFIRI followed by ECX. High GMI was associated with prolonged survival.

Efficacy of second and third lines of treatment in advanced soft tissue sarcomas: a real-world study.

BACKGROUND: Soft tissue sarcomas (STSs) are an uncommon and heterogeneous group of tumours. Several drugs and combinations have been used in clinical practice as second-line (2L) and third-line (3L) treatment. The growth modulation index (GMI) has previously been used as an exploratory efficacy endpoint of drug activity and represents an intra-patient comparison. METHODS: We performed a real-world retrospective study including all patients with advanced STS who had received at least 2 different lines of treatment for advanced disease between 2010 and 2020 at a single institution. The objective was to study the efficacy of both 2L and 3L treatments, analysing the time to progression (TTP) and the GMI (defined as the ratio of TTP between 2 consecutive lines of therapy). RESULTS: Eighty-one patients were included. The median TTP after 2L and 3L treatment was 3.16 and 3.06 months, and the median GMI was 0.81 and 0.74, respectively. The regimens most frequently used in both treatments were trabectedin, gemcitabine-dacarbazine, gemcitabine-docetaxel, pazopanib and ifosfamide. The median TTP by each of these regimens was 2.80, 2.23, 2.83, 4.10, and 5.00 months, and the median GMI was 0.78, 0.73, 0.67, 1.08, and 0.94, respectively. In terms of histotype, we highlight the activity (GMI > 1.33) of gemcitabine-dacarbazine in undifferentiated pleomorphic sarcoma (UPS) and in leiomyosarcoma, pazopanib in UPS, and ifosfamide in synovial sarcoma. CONCLUSIONS: In our cohort, regimens commonly used after first-line STS treatment showed only slight differences in efficacy, although we found significant activity of specific regimens by histotype.

The progression-free survival ratio as outcome measure in recurrent ovarian carcinoma patients: Current and future perspectives.

Objective: Clinical efficacy of cytostatic anticancer agents can be determined with the progression-free survival (PFS) ratio. This outcome measure compares PFS achieved by a new treatment (PFS2) to the PFS of the most recent treatment on which the patient has experienced progression (PFS1). Clinical benefit has been defined as a PFS-ratio (PFS2/PFS1) > 1.3. However, in order to demonstrate significant benefit, trial designs require an assumption on the proportion of patients who reach this ratio during palliative options. For ovarian carcinoma, data is lacking to support this assumption. Therefore in this study, we assess the PFS-ratio in recurrent ovarian carcinoma patients treated with current palliative options. Methods: We included 67 patients with recurrent high-grade serous (HGSC, 73.1%) or low-grade (LGOC, 26.9%) ovarian carcinoma. We determined the median PFS-ratio and investigated the association with clinicopathological characteristics. Results: Overall, we observed a median PFS-ratio of 0.69. The proportion of patients with a PFS-ratio > 1.3 was 22.4%. For HGSC patients, the median PFS-ratio was significantly lower than for LGOC patients (respectively, 0.58 and 1.26, p = 0.007). Multivariate logistic regression analysis revealed that the LGOC subtype and CA125 tumor marker concentration were independent factors related to a PFS-ratio > 1.3. Conclusions: Although the PFS-ratio represents a meaningful outcome measure in studies investigating cytostatic anticancer agents, we conclude that it is influenced by tumor histology and biological behavior. In future research, these factors should be taken into account when determining thresholds for clinical benefit in trial designs.

Bevacizumab in recurrent ovarian cancer: could it be particularly effective in patients with clear cell carcinoma?

PURPOSE: Treatment of recurrent ovarian carcinoma is a challenge, particularly for the clear cell (CCC) subtype. However, there is a preclinical rationale that these patients could achieve a benefit from antiangiogenic therapy. To assess this hypothesis, we used the growth modulation index (GMI), which represents an intrapatient comparison of two successive progression-free survival (PFS). METHODS: We conducted a retrospective real-world study performed on 34 patients with recurrent ovarian cancer, treated with bevacizumab-containing regimens from January 2009 to December 2017. The primary endpoint was GMI. An established cut-off > 1.33 was defined as a sign of drug activity. RESULTS: 73.5% of patients had high-grade serous ovarian carcinoma (HGSOC), and 17.7% had CCC; 70.6% of patients received carboplatin/gemcitabine/bevacizumab, and 29.4% received weekly paclitaxel/bevacizumab. According to histological subtype, the overall response rate and median PFS were 52% and 14 months for HGSOC and 83.3% and 20 months for CCC, respectively. The overall population median GMI was 0.99; it was 0.95 and 2.36 for HGSOC and CCC, respectively. CCC subtype was significantly correlated with GMI > 1.33 (odds ratio 41.67; 95% confidence interval 3.6-486.94; p = .03). CONCLUSION: Adding bevacizumab to chemotherapy in recurrent CCC is associated with a remarkable benefit in this cohort. The efficacy of antiangiogenic drugs in CCC warrants further prospective evaluation.

A Growth Modulation Index-Based GEISTRA Score as a New Prognostic Tool for Trabectedin Efficacy in Patients with Advanced Soft Tissue Sarcomas: A Spanish Group for Sarcoma Research (GEIS) Retrospective Study.

The aim of this study was to identify an easily reliable prognostic score that selects the subset of advanced soft tissue sarcoma (ASTS) patients with a higher benefit with trabectedin in terms of time to progression and overall survival. A retrospective series of 357 patients with ASTS treated with trabectedin as second- or further-line in 19 centers across Spain was analyzed. First, it was confirmed that patients with high growth modulation index (GMI > 1.33) were associated with the better clinical outcome. Univariate and multivariate analyses were performed to identify factors associated with a GMI > 1.33. Thus, GEISTRA score was based on metastasis free-interval (MFI ≤ 9.7 months), Karnofsky < 80%, Non L-sarcomas and better response in the previous systemic line. The median GMI was 0.82 (0-69), with 198 patients (55%) with a GMI < 1, 41 (11.5%) with a GMI 1-1.33 and 118 (33.1%) with a GMI > 1.33. The lowest GEISTRA score showed a median of time-to-progression (TTP) and overall survival (OS) of 5.7 and 19.5 months, respectively, whereas it was 1.8 and 3.1 months for TTP and OS, respectively, for the GEISTRA 4 score. This prognostic tool can contribute to better selecting candidates for trabectedin treatment in ASTS.

Larotrectinib versus Prior Therapies in Tropomyosin Receptor Kinase Fusion Cancer: An Intra-Patient Comparative Analysis.

Randomized controlled basket trials investigating drugs targeting a rare molecular alteration are challenging. Using patients as their own control overcomes some of these challenges. Growth modulation index (GMI) is the ratio of progression-free survival (PFS) on the current therapy to time to progression (TTP) on the last prior line of therapy; GMI ≥ 1.33 is considered a threshold of meaningful clinical activity. In a retrospective, exploratory analysis among patients with advanced tropomyosin receptor kinase (TRK) fusion cancer treated with the selective TRK inhibitor larotrectinib who received ≥1 prior line of therapy for locally advanced/metastatic disease, we determined the proportion of patients with GMI ≥ 1.33; patients who had not progressed by data cut-off were censored for PFS. Among 72 eligible patients, median GMI was 2.68 (range 0.01-48.75). Forty-seven patients (65%) had GMI ≥ 1.33; 13/25 patients (52%) with GMI < 1.33 had not yet progressed on larotrectinib. Kaplan-Meier estimates showed a median GMI of 6.46. The probability of attaining GMI ≥ 1.33 was 0.75 (95% confidence interval (CI), 0.65-0.85). Median TTP on previous treatment was 3.0 months (95% CI, 2.6-4.4). Median PFS on larotrectinib was not estimable ((NE); 95% CI, NE; hazard ratio, 0.220 (95% CI, 0.146-0.332)). This analysis suggests larotrectinib improves PFS for patients with TRK fusion cancer compared with prior therapy.

Trabectedin Plus Radiotherapy for Advanced Soft-Tissue Sarcoma: Experience in Forty Patients Treated at a Sarcoma Reference Center.

Symptomatic control and tumoral shrinkage is an unmet need in advanced soft-tissue sarcoma (STS) patients beyond first-line. The combination of trabectedin and radiotherapy showed activity in a recently reported clinical trial in this setting. This retrospective series aims to analyze our experience with the same regimen in the real-life setting. We retrospectively reviewed advanced sarcoma patients treated with trabectedin concomitantly with radiotherapy with palliative intent. Growth-modulation index (GMI) was calculated as a surrogate of efficacy. Forty metastatic patients were analyzed. According to RECIST, there was one (2.5%) complete response, 12 (30%) partial responses, 18 (45%) disease stabilizations, and nine (22.5%) progressions. After a median follow-up of 15 months (range 2-38), median progression-free survival (PFS) and overall survival (OS) were 7.5 months (95% CI 2.8-12.2) and 23.5 months (95% CI 1.1-45.8), respectively. Median GMI was 1.42 (range 0.19-23.76), and in 16 (53%) patients, it was >1.33. In patients with GMI >1.33, median OS was significantly longer than in those with GMI 0-1.33 (median OS 52.1 months (95% CI not reached) vs. 8.9 months (95% CI 6.3-11.6), p = 0.028). The combination of trabectedin plus radiotherapy is an active therapeutic option in patients with advanced STS, especially when tumor shrinkage for symptomatic relief is needed.

Efficacy and safety of regorafenib compared to placebo and to post-cross-over regorafenib in advanced non-adipocytic soft tissue sarcoma.

INTRODUCTION: The placebo-controlled phase-2 REGOSARC trial demonstrated the efficacy of regorafenib in patients with leiomyosarcoma, synovial sarcoma and other non-adipocytic sarcoma but not in liposarcoma. Patients initially allocated to placebo were allowed to receive regorafenib after progression. We report here an updated analysis of the trial including evaluation of regorafenib activity after cross-over. METHODS: From June 2013 to December 2014, 139 patients were enrolled in the non-adipocytic sarcoma cohorts. Median follow-up is now 32.4 months. Benefit of regorafenib versus placebo in terms of progression-free survival (PFS) and overall survival (OS) from randomisation was estimated by hazard ratio (HR) in Cox models. In the placebo arm, intra-patient benefit of regorafenib after cross-over was evaluated by the growth modulation index (GMI) (GMI was here, for each patient, PFS after cross-over regorafenib divided by PFS with placebo). Furthermore, the activity of delayed (after cross-over) versus early (at study entry) regorafenib was evaluated by comparing PFS after cross-over to regorafenib to PFS after randomisation in the regorafenib arm. RESULTS: PFS benefit of regorafenib as compared to placebo was confirmed with longer follow-up (HR = 0.50; 95% CI: 0.35-0.71; p < .0001). OS was not statistically significant different (HR = 0.78; 0.54-1.12; p = .18). This finding may partially be explained by the fact that 55/68 patients who progressed on placebo (81%) received cross-over Regorafenib after progression: 59% of them had a GMI ≥ 1.3 (95% CI, 45-71%). Delayed start of regorafenib was associated with a statistically non-significant shorter PFS as compared to early treatment (HR = 1.21; 0.84-1.73; p = .30) without impact on OS. CONCLUSIONS: Observed PFS confirms that regorafenib warrants further clinical investigation in refractory non-adipocytic sarcomas.