Publications by authors named "Loic Verlingue"

Publicly available trial matching tools can improve the access to therapeutic innovations, but errors may expose to over-solicitation and disappointment. We performed a pragmatic non-interventional prospective evaluation on sequential patients at the Molecular Tumor Board of Centre Leon Berard. During 10 weeks in 2024, we analysed 157 patients with four clinical trial matching tools from the 19 screened: Klineo, ScreenAct, Trialing and DigitalECMT.

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Artificial intelligence (AI) is addressing many expectations for healthcare practitioners and patients in oncology. It has the potential to deeply transform medical practices as we know them today: improving early diagnosis by analysing large quantities of medical data, refining personalised treatment plans and optimising patient follow-up. AI also makes it easier to identify new biomarkers and predict responses to therapies, reducing margins of error and speeding up clinical decisions.

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Purpose: This phase Ib trial evaluated fibroblast activation protein-α-targeted IL2 variant (FAP-IL2v), a novel immunocytokine engineered to minimize CD25-mediated toxicities, in combination with cetuximab, in patients with recurrent, unresectable, or metastatic head and neck squamous cell carcinoma (HNSCC).

Patients And Methods: Patients received FAP-IL2v either on a continuous weekly (QW) schedule or QW for 4 weeks and then every 2 weeks (Q2W). Cetuximab was dosed at QW or Q2W schedules.

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Article Synopsis
  • Simlukafusp alfa (FAP-IL2v) is an engineered immune cytokine aimed at enhancing immune responses specifically in tumor environments, and was evaluated with atezolizumab for treating recurrent/metastatic cervical squamous cell carcinoma (SCC) in a phase 2 study.
  • A total of 48 patients with advanced cervical SCC who had previously received treatment were enrolled; the study primarily measured the objective response rate, yielding a 27% response with a median duration of 13.3 months for those who responded.
  • The combination treatment showed clinical efficacy with manageable side effects, including immune cell activation, indicating a promising approach for this patient group.
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In this Personal View, we address the latest advancements in automatic text analysis with artificial intelligence (AI) in medicine, with a focus on its implications in aiding treatment decisions in medical oncology. Acknowledging that a majority of hospital medical content is embedded in narrative format, natural language processing has become one of the most dynamic research fields for developing clinical decision support tools. In addition, large language models have recently reached unprecedented performance, notably when answering medical questions.

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Background And Purpose: In this manuscript we describe the academic French multicentric molecular analysis platforms including PROFILER, promoted by Centre Léon Berard, and the multicentric personalized medicine trials MOST, MOST Plus and MEGAMOST.

Patients/material And Methods: MOST, MOST Plus and MEGAMOST comprise 14 cohorts with different targeted agents and immunotherapies.

Results And Interpretation: PROFILER has recruited 5,991 patients in 10 years, MOST and MOST Plus 875 patients since 2014 and MEGAMOST 172 patients since 2020, and are still ongoing.

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Background: In the two European Union (EU)-funded projects, PCM4EU (Personalized Cancer Medicine for all EU citizens) and PRIME-ROSE (Precision Cancer Medicine Repurposing System Using Pragmatic Clinical Trials), we aim to facilitate implementation of precision cancer medicine (PCM) in Europe by leveraging the experience from ongoing national initiatives that have already been particularly successful.

Patients And Methods: PCM4EU and PRIME-ROSE gather 17 and 24 partners, respectively, from 19 European countries. The projects are based on a network of Drug Rediscovery Protocol (DRUP)-like clinical trials that are currently ongoing or soon to start in 11 different countries, and with more trials expected to be established soon.

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Purpose: The integration of palliative care (PC) into oncological management is recommended well before the end of life. It improves quality of life and symptom control and reduces the aggressiveness of end-of-life care. However, its appropriate timing is still debated.

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Article Synopsis
  • The study investigates the combination of atezolizumab (a PD-L1 inhibitor) and stereotactic body radiation therapy (SBRT) in patients with advanced colorectal cancer (CRC) as part of the SABR-PDL1 trial.
  • A group of 60 pretreated patients from five centers participated, receiving atezolizumab and follow-up SBRT, with a focus on measuring progression-free survival (PFS) and collecting immune profiling data.
  • Results showed a median overall survival of 8.4 months and a PFS of 1.4 months, with the treatment being relatively well-tolerated; some patients exhibited significant responses, including stable disease and a few partial or
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Introduction: This document is a summary of the French intergroup guidelines of the management of biliary tract cancers (BTC) (intrahepatic, perihilar and distal cholangiocarcinomas, and gallbladder carcinomas) published in September 2023, available on the website of the French Society of Gastroenterology (SNFGE) (www.tncd.org).

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Macrophage Clever-1 contributes to impaired antigen presentation and suppression of anti-tumor immunity. This first-in-human trial investigates the safety and tolerability of Clever-1 blockade with bexmarilimab in patients with treatment-refractory solid tumors and assesses preliminary anti-tumor efficacy, pharmacodynamics, and immunologic correlates. Bexmarilimab shows no dose-limiting toxicities in part I (n = 30) and no additional safety signals in part II (n = 108).

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Unlabelled: Metastatic relapse after treatment is the leading cause of cancer mortality, and known resistance mechanisms are missing for most treatments administered to patients. To bridge this gap, we analyze a pan-cancer cohort (META-PRISM) of 1,031 refractory metastatic tumors profiled via whole-exome and transcriptome sequencing. META-PRISM tumors, particularly prostate, bladder, and pancreatic types, displayed the most transformed genomes compared with primary untreated tumors.

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Background: For patients with metastatic rare cancers, treatments are limited. How systematic tumor sequencing can improve therapeutic possibilities in this population?

Patients And Methods: Patients with rare cancer were identified in the MOSCATO-01 trial. Patients' outcome was measured by progression-free survival (PFS) and overall survival (OS).

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Purpose: To facilitate implementation of precision medicine in clinical management of cancer, the European Society of Medical Oncology proposed in 2018 a new scale to harmonize and standardize the reporting and interpretation of clinically relevant genomics data (ESMO Scale of Actionability of molecular Targets [ESCAT]). This study aims to characterize the clinical impact of matching targetable genomic alterations (GAs) in patients with advanced cancer according to ESCAT.

Material And Methods: Analysis of next-generation sequencing results from 552 patients is included in two prospective precision medicine studies at Gustave Roussy.

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Objective: Phase I clinical trials usually include patients with advanced disease who have failed standard therapies and should benefit from early palliative care. We try to assess whether PALLIA 10, a score developed in France to help identify patients who might benefit from a palliative care referral, could be used in a phase I department trial.

Methods: We assessed PALLIA 10 score and other prognostic factors in patients enrolled in phase I trials at Gustave Roussy Cancer Center prospectively during two periods of time (cohort 1 (C1) and 2 (C2)).

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PD-L1 and tumor-infiltrating lymphocytes play a key role in the immune escape of cancer, although their prognostic value remains unknown in patients with refractory solid cancer compared to other known prognostic estimation methods. In this ancillary study, we assessed the prognostic value of previously-defined prognostic scores (such as the Royal Marsden Hospital (RMH) score) and of PD-L1, CD3, CD8 and FOXP3 expressions based on immunohistochemistry (IHC) and RNA sequencing (RNAseq) of tumor samples from patients included in the personalized-medicine MOSCATO-02 trial. We collected biopsies with successful IHC analysis from 266 patients treated between April 2016 and September 2017, among whom 170 (63.

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Introduction: Although the role of epigenetic alterations in oncogenesis has been well studied, their prevalence in metastatic solid tumours is still poorly described. We therefore aimed at: (i) describing the presence of epigenetic gene alterations (EGA) - defined by an alteration in a gene encoding an epigenetic regulator; and (ii) evaluating their relationship with clinical characteristics and outcome in patients (pts) included in prospective molecular profiling trials.

Materials And Methods: On-purpose tumour biopsies from pts with metastatic solid tumours enrolled in the Gustave Roussy-sponsored MOSCATO (NCT01566019) and MATCHR (NCT02517892) trials were molecularly profiled using whole exome sequencing (WES).

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Background: Immune checkpoint blockers (ICBs) in combination with antiangiogenic drugs showed synergistic efficacy in several tumour types. New patterns of progression have recently been defined upon treatment with ICB alone including atypical responses such as pseudoprogression (PsPD), dissociated response and hyperprogressive disease (HPD). This study aimed to describe the patterns of response observed in patients treated with combination ICB with antiangiogenic drugs.

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Article Synopsis
  • Early discontinuation in early-phase oncology trials impacts over one third of patients and complicates study timelines and costs; the research aims to predict successful completion of screening and dose-limiting toxicity periods using automated report analysis.
  • A machine learning model was developed using a large dataset of consultation reports to predict patient outcomes, achieving solid performance metrics (F1 score 0.80, recall 0.81) and demonstrating potential to significantly reduce screening failure rates from 39.8% to 12.8%.
  • The study highlights the importance of using machine learning with semantic analysis as a promising approach for improving patient selection in clinical trials, focusing on key terms related to disease characteristics and laboratory findings
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The rising interest for precise characterization of the tumour immune contexture has recently brought forward the high potential of RNA sequencing (RNA-seq) in identifying molecular mechanisms engaged in the response to immunotherapy. In this review, we provide an overview of the major principles of single-cell and conventional (bulk) RNA-seq applied to onco-immunology. We describe standard preprocessing and statistical analyses of data obtained from such techniques and highlight some computational challenges relative to the sequencing of individual cells.

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For patients with advanced/unresectable biliary tract cancers, cisplatin-gemcitabine combination is the standard first-line treatment. Beyond the first line, the therapeutic arsenal is limited with minimal benefit. Biliary tract cancers exhibit one of the highest frequencies of targetable molecular alterations across cancer types, and several targeted therapies are emerging as treatment options.

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Purpose: Drug development in oncology currently is facing a conjunction of an increasing number of antineoplastic agents (ANAs) candidate for phase I clinical trials (P1CTs) and an important attrition rate for final approval. We aimed to develop a machine learning algorithm (RESOLVED2) to predict drug development outcome, which could support early go/no-go decisions after P1CTs by better selection of drugs suitable for further development.

Methods: PubMed abstracts of P1CTs reporting on ANAs were used together with pharmacologic data from the DrugBank5.

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PD-1 blockade represents a major therapeutic avenue in anticancer immunotherapy. Delineating mechanisms of secondary resistance to this strategy is increasingly important. Here, we identified the deleterious role of signaling via the type I interferon (IFN) receptor in tumor and antigen presenting cells, that induced the expression of nitric oxide synthase 2 (NOS2), associated with intratumor accumulation of regulatory T cells (Treg) and myeloid cells and acquired resistance to anti-PD-1 monoclonal antibody (mAb).

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Background: Because responses of patients with cancer to immunotherapy can vary in success, innovative predictors of response to treatment are urgently needed to improve treatment outcomes. We aimed to develop and independently validate a radiomics-based biomarker of tumour-infiltrating CD8 cells in patients included in phase 1 trials of anti-programmed cell death protein (PD)-1 or anti-programmed cell death ligand 1 (PD-L1) monotherapy. We also aimed to evaluate the association between the biomarker, and tumour immune phenotype and clinical outcomes of these patients.

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