Neoadjuvant cytoreductive treatment with BRAF/MEK inhibition of prior unresectable regionally advanced melanoma to allow complete surgical resection, REDUCTOR: a prospective, single-arm, open-label phase II trial

Objective: To evaluate the potency of short-term neoadjuvant cytoreductive therapy with dabrafenib plus trametinib (BRAF and MEK inhibitor) to allow for radical surgical resection in patients with unresectable locally advanced melanoma. Summary Background Data: Approximately 5% of stage III melanoma patients presents with unresectable locally advanced disease, making standard of care with resection followed by adjuvant systemic therapy impossible. Although neoadjuvant targeted therapy has shown promising results in resectable stage III melanoma, its potency to enable surgical resection in patients with primarily unresectable locally advanced stage III melanoma is still unclear. Methods: In this prospective, single-arm, phase II trial, patients with unresectable BRAF-mutated locally advanced stage IIIC or oligometastatic stage IV melanoma were included. After 8 weeks of treatment with dabrafenib and trametinib, evaluation by positron emission tomography/computed tomography and physical examination were used to assess sufficient downsizing of the tumor to enable resection. The primary objective was the percentage of patients who achieved a radical (R0) resection. Results: Between August 2014 and March 2019, 21 patients (20/21 stage IIIC American Joint Committee on Cancer staging manual 7th edition) were included. Planned inclusion of 25 patients was not reached due to slow accrual and changing treatment landscape. Despite this, the predefined endpoint was successfully met. In 18/21 (86%) patients a resection was performed, of which 17 were R0 resections. At a median follow-up of 50 months (interquartile range 37.7-57.1 months), median recurrence-free survival was 9.9 months (95% confidence interval 7.52-not reached) in patients undergoing surgery. Conclusions: This prospective, single-arm, open-label phase II trial, shows neoadjuvant dabrafenib plus trametinib as a potent cytoreductive treatment, allowing radical resection of metastases in 17/21 (81%) patients with prior unresectable locally advanced melanoma.Analysis and support of clinical decision makin

Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer

Funding Information: This study has received funding from the Dutch Cancer Society (project number 10138). Publisher Copyright: © 2023, The Author(s).Objectives: To develop and validate a multiparametric model to predict neoadjuvant treatment response in rectal cancer at baseline using a heterogeneous multicenter MRI dataset. Methods: Baseline staging MRIs (T2W (T2-weighted)-MRI, diffusion-weighted imaging (DWI) / apparent diffusion coefficient (ADC)) of 509 patients (9 centres) treated with neoadjuvant chemoradiotherapy (CRT) were collected. Response was defined as (1) complete versus incomplete response, or (2) good (Mandard tumor regression grade (TRG) 1–2) versus poor response (TRG3-5). Prediction models were developed using combinations of the following variable groups: (1) Non-imaging: age/sex/tumor-location/tumor-morphology/CRT-surgery interval (2) Basic staging: cT-stage/cN-stage/mesorectal fascia involvement, derived from (2a) original staging reports, or (2b) expert re-evaluation (3) Advanced staging: variables from 2b combined with cTN-substaging/invasion depth/extramural vascular invasion/tumor length (4) Quantitative imaging: tumour volume + first-order histogram features (from T2W-MRI and DWI/ADC) Models were developed with data from 6 centers (n = 412) using logistic regression with the Least Absolute Shrinkage and Selector Operator (LASSO) feature selection, internally validated using repeated (n = 100) random hold-out validation, and externally validated using data from 3 centers (n = 97). Results: After external validation, the best model (including non-imaging and advanced staging variables) achieved an area under the curve of 0.60 (95%CI=0.48–0.72) to predict complete response and 0.65 (95%CI=0.53–0.76) to predict a good response. Quantitative variables did not improve model performance. Basic staging variables consistently achieved lower performance compared to advanced staging variables. Conclusions: Overall model performance was moderate. Best results were obtained using advanced staging variables, highlighting the importance of good-quality staging according to current guidelines. Quantitative imaging features had no added value (in this heterogeneous dataset). Clinical relevance statement: Predicting tumour response at baseline could aid in tailoring neoadjuvant therapies for rectal cancer. This study shows that image-based prediction models are promising, though are negatively affected by variations in staging quality and MRI acquisition, urging the need for harmonization. Key Points: This multicenter study combining clinical information and features derived from MRI rendered disappointing performance to predict response to neoadjuvant treatment in rectal cancer. Best results were obtained with the combination of clinical baseline information and state-of-the-art image-based staging variables, highlighting the importance of good quality staging according to current guidelines and staging templates. No added value was found for quantitative imaging features in this multicenter retrospective study. This is likely related to acquisition variations, which is a major problem for feature reproducibility and thus model generalizability.Peer reviewe

Application of CP-MAS and liquid-like solid-state NMR experiments for the study of the ripening-associated cell wall changes in tomato

International audienc

Error Field Correction in DIII-D Ohmic Plasmas with Either Handedness

The expression for the overlap, Equation (1) in the published article at Nuclear Fusion 51 (2011) 023003, was incorrect and should be replaced by (SEE PAPER