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ObjectiveDiagnostic tests, such as Immunoscore, predict prognosis in patients with colon cancer. However, additional prognostic markers could be detected on pathological slides using artificial intelligence tools.DesignWe have developed a software to detect colon tumour, healthy mucosa, stroma and immune cells on CD3 and CD8 stained slides. The lymphocyte density and surface area were quantified automatically in the tumour core (TC) and invasive margin (IM). Using a LASSO algorithm, DGMate (DiGital tuMor pArameTErs), we detected digital parameters within the tumour cells related to patient outcomes.ResultsWithin the dataset of 1018 patients, we observed that a poorer relapse-free survival (RFS) was associated with high IM stromal area (HR 5.65; 95% CI 2.34 to 13.67; p<0.0001) and high DGMate (HR 2.72; 95% CI 1.92 to 3.85; p<0.001). Higher CD3+ TC, CD3+ IM and CD8+ TC densities were significantly associated with a longer RFS. Analysis of variance showed that CD3+ TC yielded a similar prognostic value to the classical CD3/CD8 Immunoscore (p=0.44). A combination of the IM stromal area, DGMate and CD3, designated ‘DGMuneS’, outperformed Immunoscore when used in estimating patients’ prognosis (C-index=0.601 vs 0.578, p=0.04) and was independently associated with patient outcomes following Cox multivariate analysis. A predictive nomogram based on DGMuneS and clinical variables identified a group of patients with less than 10% relapse risk and another group with a 50% relapse risk.ConclusionThese findings suggest that artificial intelligence can potentially improve patient care by assisting pathologists in better defining stage III colon cancer patients’ prognosis.

Purpose Previous studies have reported the benefit of dual HER2-targeting combined to neoadjuvant chemotherapy in HER2-amplified breast cancer (HER2 + BC). Moreover, besides the cardiac toxicity following their association to Trastuzumab, anthracyclines chemotherapy may not profit all patients. The NeoTOP study was designed to evaluate the complementary action of Trastuzumab and Pertuzumab, and the relevance of an anthracycline-based regimen according to TOP2A amplification status. Methods Open-label, multicentre, phase II study. Eligible patients were aged ≥ 18 with untreated, operable, histologically confirmed HER2 + BC. After centralized review of TOP2A status, TOP2A-amplified (TOP2A+) patients received FEC100 for 3 cycles then 3 cycles of Trastuzumab (8 mg/kg then 6 mg/kg), Pertuzumab (840 mg/kg then 420 mg/kg), and Docetaxel (75mg/m 2 then 100mg/m 2 ). TOP2A-not amplified (TOP2A-) patients received 6 cycles of Docetaxel (75mg/m 2 ) and Carboplatin (target AUC 6 mg/ml/min) plus Trastuzumab and Pertuzumab. Primary endpoint was pathological Complete Response (pCR) using Chevallier’s classification. Secondary endpoints included pCR (Sataloff), Progression-Free Survival (PFS), Overall Survival (OS), and toxicity. Results Out of 74 patients, 41 and 33 were allocated to the TOP2A + and TOP2A- groups respectively. pCR rates (Chevallier) were 74.4% (95%CI: 58.9–85.4) vs. 71.9% (95%CI: 54.6–84.4) in the TOP2A + vs. TOP2A- groups. pCR rates (Sataloff), 5-year PFS and OS were 70.6% (95%CI: 53.8–83.2) vs. 61.5% (95%CI: 42.5–77.6), 82.4% (95%CI: 62.2–93.6) vs. 100% (95%CI: 74.1–100), and 90% (95%CI: 69.8–98.3) vs. 100% (95%CI: 74.1–100). Toxicity profile was consistent with previous reports. Conclusion Our results showed high pCR rates with Trastuzumab and Pertuzumab associated to chemotherapy. They were similar in TOP2A + and TOP2A- groups and the current role of neoadjuvant anthracycline-based chemotherapy remains questioned. Trial registration number NCT02339532 (registered on 14/12/14).

Background: Predictive biomarkers of response to chemotherapy plus antiangiogenic for metastatic colorectal cancer (mCRC) are lacking. The objective of this study was to test the prognostic role of splenomegaly on baseline CT scan. Methods: This study is a sub-study of PRODIGE-9 study, which included 488 mCRC patients treated by 5-fluorouracil, leucovorin and irinotecan (FOLFIRI) and bevacizumab in first line. The association between splenic volume, and PFS and OS was evaluated by univariate and multivariable Cox analyses. The relation between circulating monocytic Myeloid derived suppressor cells (mMDSC) and splenomegaly was also determined. Results: Baseline splenic volume > 180 mL was associated with poor PFS (median PFS = 9.2 versus 11.1 months; log-rank p = 0.0125), but was not statistically associated with OS (median OS = 22.6 versus 28.5 months; log-rank p = 0.1643). The increase in splenic volume at 3 months had no impact on PFS (HR 0.928; log-rank p = 0.56) or on OS (HR 0.843; log-rank p = 0.21). Baseline splenic volume was positively correlated with the level of baseline circulating mMDSC (r = 0.48, p-value = 0.031). Conclusion: Baseline splenomegaly is a prognostic biomarker in patients with mCRC treated with FOLFIRI and bevacizumab, and a surrogate marker of MDSC accumulation.

Recognition of viral RNA structures by the cytosolic sensor retinoic acid-inducible gene-I （RIG-l） results in the activation of signaling cascades that culminate with the generation of the type I interferon （IFN） antiviral response. Onset of antiviral and inflammatory responses to viral pathogens necessitates the regulated spatiotemporal recruitment of signaling adapters, kinases and transcriptional proteins to the mitochondrial antiviral signaling protein （MAVS）. We previously demonstrated that the serine/threonine kinase IKKE is recruited to the C-terminal region of MAVS following Sendai or vesicular stomatitis virus （VSV） infection, mediated by Lys63-1inked polyubiquitination of MAVS at Lys500, resulting in inhibition of downstream IFN signaling （Paz et al, Moi Cell Biol, 2009）. In this study, we demonstrate that C-terminus of MAVS harbors a novel TRAF3-binding site in the aa450- 468 region of MAVS. A consensus TRAF-interacting motif （TIM）, 455-PEENEY-460, within this site is required for TRAF3 binding and activation of IFN antiviral response genes, whereas mutation of the TIM eliminates TRAF3 binding and the downstream IFN response. Reconstitution of MAVS-/- mouse embryo fibroblasts with a construct expressing a TIM-mutated version of MAVS failed to restore the antiviral response or block VSV replication, whereas wild-type MAVS reconstituted antiviral inhibition of VSV replication. Furthermore, recruitment of IKKe to an adjacent C-terminal site （aa 468-540） in MAVS via Lys500 ubiquitination decreased TRAF3 binding and protein stability, thus contributing to IKKe-mediated shutdown of the IFN response. This study demonstrates that MAVS harbors a functional C-terminal TRAF3-binding site that participates in positive and negative regulation of the IFN antiviral response.

This thesis describes a system named DemoMation (DM) that combines capabilities for user interface development and keyframe animation. The specific work of this thesis focuses on the integration of a demonstrational interface builder named Demo [Wol91a, Wol91b] with simple keyframe animation system, named Animation Framework (AF) [Sung93]. The thesis presents a design and partial implementation of the integrated system, which will serve as the basis for continuing research. This thesis provides a “stand-alone” document which contains a complete overview of the systems used in the past to build the current system. Problems and solutions of the system development will also be discussed in detail.