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    Institute Paoli-Calmettes

    EST. 1991
    4,754论文总数
    13.4万引用总数

    论文量&引用量时间轴

    机构学者

    排序
    Didier Blaise
    Didier Blaise
    Institut Paoli-Calmettes;Université Aix Marseille
    论文:738引用:0H-index:0
    Mohamad Mohty
    Mohamad Mohty
    Clinical Hematology and Cellular Therapy Department, Saint-Antoine Hospital, Sorbonne University;Saint-Antoine Research Centre
    论文:370引用:0H-index:0
    F Bertucci
    F Bertucci
    Regional Centre for Cancer Care Marseilles, Institut Paoli-Calmettes
    论文:294引用:0H-index:0
    Gwenaelle Gravis
    Gwenaelle Gravis
    Institut Paoli-Calmettes;Unicancer
    论文:291引用:0H-index:0
    Norbert Vey
    Norbert Vey
    Hematologie Clinique, Institut Paoli Calmettes
    论文:265引用:0H-index:0
    Sabine Furst
    Sabine Furst
    Department of Hematology, Institut Paoli-Calmettes;Unit Transplantation and Cell Therapy, Department of Onco-Hematology, Institut Paoli-Calmettes
    论文:199引用:0H-index:0
    Anthony Gonçalves
    Anthony Gonçalves
    Institut Paoli-Calmettes
    论文:191引用:0H-index:0
    Marc Giovannini
    Marc Giovannini
    Department of Medico-Surgical Digestive Oncology, Institut Paoli-Calmettes
    论文:173引用:0H-index:0
    Patrice Viens
    Patrice Viens
    Inst Paoli Calmettes, Aix Marseille Univ
    论文:165引用:0H-index:0

    论文(4754)

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    1Temporal Trends and Prognostic Factors in Critically Ill Adult Patients with Acute Leukemia: an Individual Participant Data Meta-Analysis.
    Dara Chean, Thibault Dupont, Joseph L. Nates, Nirmala K. Manjappachar, Marijana Medic,Gulbin Aygencel,Corentin Orvain,Achille Kouatchet,Ajay Sheshadri, Tasmea K. Haque,Lene Russell,Thomas Pabst,

    Critically ill patients with acute leukemia often require an intensive care unit (ICU) admission. As major therapeutic advances have been made during the last decades, the aim of this study was to assess temporal trends in ICU mortality, and identify prognostic factors to inform clinician decision-making. We conducted an individual participant data meta-analysis of studies including adults with acute leukemia admitted to the ICU. Patients with a history of allogeneic hematopoietic stem cell transplantation were excluded. Mixed-effects logistic regression models, accounting for center of ICU admission as a random variable, evaluated factors associated with ICU mortality, with particular focus on year of ICU admission, age (> 65 years) and invasive mechanical ventilation. A total of 2003 patients from 55 ICUs across 19 countries were included (median age 58 years [IQR 44–67]; 72

    2026Intensive Care Medicine(2026)引用:33
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    2Chemotherapy-induced Anemia As a Prognostic Factor for Overall Survival in Patients with Bladder Cancer Treated with Neoadjuvant Cisplatin-Based Chemotherapy and Cystectomy
    Elsa Lafitte,Patrick Sfumato,Jochen Walz,Emilien Billon,Nicolas Branger,Cécile Vicier, Stanislas Rybikowski,Mathilde Guérin, Thomas Maubon, Mathilde Beaufils, Lorène Seguin,Naji Salem,

    Preoperative anemia (PA) and red blood cell transfusion (RBT) are associated with decreased survival in several cancers. In muscle-invasive bladder cancer (MIBC), anemia is frequent and may be worsened by neoadjuvant chemotherapy (NAC). While PA’s impact is known in patients undergoing cystectomy without NAC, its prognostic value in the current multimodal approach remains unclear. We retrospectively analyzed patients with cT2–T4 N0–N2 M0 MIBC treated with cisplatin-based NAC followed by radical cystectomy and lymphadenectomy between 2011 and 2022. We recorded the lowest hemoglobin value from NAC start to surgery (PA), use of RBT during NAC, and iron or vitamin B9/B12 supplementation. This monocentric cohort included 175 patients (77

    2026World Journal of Urology(2026)引用:29
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    3High-risk Genomic Consensus Validation for Patients with Newly Diagnosed Multiple Myeloma Using Next-Generation Sequencing
    Anaïs Schavgoulidze,Aurore Perrot,Xavier Leleu, Titouan Cazaubiel, Marie-Lorraine Chretien,Pierre Feugier,Karim Belhadj,Salomon Manier,Murielle Roussel,Sabine Brechignac,Frédérique Orsini-Piocelle,Mohamad Mohty,

    ABSTRACT:The prognostic heterogeneity of multiple myeloma is mainly driven by the genomic features of myeloma cells. The International Myeloma Society (IMS)/International Myeloma Working Group (IMWG) recently proposed a high-risk (HR) genomic model to have a consensus definition of genomic risk. We performed next-generation sequencing in the form of a panel on samples from 6528 patients with newly diagnosed multiple myeloma (NDMM) and 1583 patients at first relapse between 2019 and 2024. We observed that 22.4% of patients at diagnosis and 36.7% of patients at first relapse were classified as high risk according to the Consensus Genomic Staging. Clinical data were available for 2695 patients at diagnosis. After a median follow-up of 35 months, the median progression-free survival (PFS) was 30 months for patients with HR NDMM and 51 months for standard-risk (SR) patients (P< .0001). The HR cytogenetic criteria from the Revised- International Staging System score were not able to differentiate between HR and SR patients based on the IMS/IMWG genomic subgroups. Looking at each criterion independently, we found that the presence of del(17p), TP53 mutation, biallelic del(1p32), or the combination of intermediate-risk cytogenetics (gain 1q, del(1p32), t(4;14), t(14;16), t(14;20)) significantly reduced the PFS when compared with SR patients. Moreover, patients with several cumulating criteria had an even worse prognosis. Among SR patients, classified according to the genomic definition with normal creatinine, the median PFS for those with high β2-microglobulin was not significantly different from that of patients with normal β2-microglobulin level. This study validated the IMS/IMWG genomic definition of HR myeloma in a large cohort of patients diagnosed from 2019 onwards.

    2026Blood(2026)引用:21
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    4Nivolumab ± Ipilimumab in Patients with Pretreated Advanced Neuroendocrine Carcinoma: the GCO-001 NIPINEC Randomized Phase II Trial.
    Thomas Pierre Walter,Julien Mazieres,Josiane Otto,Hervé Lena,Côme Lepage,Denis Smith, Jeannick Madelaine,Laurence Gérinière, Thomas Egenod, Farid El Hajbi,Aurélie Ferru,Christelle Clément-Duchene,

    PURPOSE:There is no standard second-line therapy for gastroenteropancreatic (GEP) and lung large-cell neuroendocrine carcinoma (NEC) after the failure of platinum-based chemotherapy. This study aimed to investigate the efficacy of nivolumab ± ipilimumab. METHODS:The GCO-001-NIPINEC (ClinicalTrials.gov identifier: NCT03591731) trial was a noncomparative, open-label, phase II trial. The main inclusion criteria were age ≥18 years, performance status (PS) ≤2, advanced large- and small-cell GEP-NEC and large-cell lung NEC, and second- or third-line treatment for NECs refractory to platinum-based chemotherapy. Patients were randomly assigned (1:1) and stratified by age and PS to receive nivolumab (3 mg/kg/once every 2 weeks) ± ipilimumab (1 mg/kg/once every 6 weeks) for 2 years or until progression or unacceptable toxicity. The primary end point was objective response rate (ORR) at 8 weeks, assessed by investigators. RESULTS:A total of 185 patients (91 in the nivolumab arm and 94 in the nivolumab-ipilimumab arm) were enrolled between December 2018 and March 2021; 169 were analyzed (median age of 64.5 years, 71% male, 91% PS 0-1). The main primary tumor locations were lungs (50%), colorectal (15%), gastroesophageal (14%), and pancreatic (13%) regions. The ORR at 8 weeks was 7.2% (95% CI, 2.7 to 15.1]) in the nivolumab arm and 14.0% (95% CI, 7.4 to 23.1) in the nivolumab-ipilimumab arm. The best ORR was 9.6% and 20.9%, respectively, whereas the median progression-free and overall survival were approximately 2 months and 6 months in both arms. One treatment-related death occurred, in the nivolumab arm. The grade 3-4 adverse events (≥5%) were asthenia (13%), gamma-glutamyl transferase increase (10%), alkaline phosphatase increase (9%), dyspnea (7%), and anemia (6%) in the nivolumab-ipilimumab arm. CONCLUSION:Nivolumab-ipilimumab could be a second-/third-line treatment option for patients with NECs. However, given the limited magnitude of benefit, studies are warranted to evaluate its use earlier and/or associated with chemotherapy.

    2026Journal of clinical oncology official journal of the American Society of Clinical Oncology(2026)引用:1
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    5An Integrative Multimodal Machine Learning Signature of Primary Resistance to Immunotherapy in Advanced Non-Small Cell Lung Cancer: Biomarker Analysis from the PIONeeR Study
    Fabrice Barlesi,Florence Monville,Laurent Greillier, Natalie Ngoi,Joseph Ciccolini, Florence Sabatier, Stephane Garcia, Jean-Philippe Dales, Cyril Foa,Laurent Arnaud, Amelie Pouchin,Frederic Vely,

    Background Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape for advanced non-small cell lung cancer (NSCLC), yet primary resistance remains common, with only ~50% of patients responding to first-line chemo-immunotherapy and 20-30% to monotherapy. Existing biomarkers such as PD-L1 expression and Tumor Mutational Burden (TMB) demonstrate limited predictive accuracy, underscoring the need for more comprehensive, integrative approaches. Methods We conducted a prospective, multicenter study involving 439 patients with advanced NSCLC treated with anti-PD-(L)1 ICI across first-line combo with chemotherapy and later-line monotherapy settings. A total of 443 pre-treatment tumor and blood-derived biomarkers-including genomic alterations, immune cell phenotypes, proteic markers, and routine laboratory tests-were profiled. Extensive biostatistics adjusted for PD-L1 expression were conducted. A rigorously benchmarked machine learning (ML) pipeline including 36 feature selection methods embedded into an optimism-correction framework was applied to identify predictors of primary resistance (PrR). Results Single biomarkers showed limited predictive utility, with PD-L1 (AUC 0.62, positive predictive value (PPV) 49.6%), TMB (AUC 0.55, PPV 43.1%), and key gene mutations (e.g., STK11, KEAP1) failing to achieve significance after multiple testing correction. A gradient boosting ML model integrating 18 selected features yielded a corrected AUC of 0.69 and a Positive Predictive Value (PPV) of 60% for PrR, outperforming standard biomarkers. In first-line patients, the model achieved a PPV of 51% and Negative Predictive Value (NPV) of 79% (baseline PrR rate: 29.9%); in subsequent-line patients, PPV reached 64% (PrR rate: 55.1%). Importantly, the signature also stratified Progression-Free Survival (PFS): high-risk patients had a median PFS of 3.9 vs. 14.6 months in low-risk patients (HR 0.307, p < 0.0001). Features from routine blood tests-such as serum chloride, albumin, CRP, and monocyte-to-lymphocyte ratio (MLR)-accounted for half of the final model and demonstrated independent associations with both PrR and PFS (e.g., chloride: OR 0.616, AUC 0.626; HR 0.685, C-index 0.61). SHAP-based individual-level model explainability revealed heterogeneous and nonlinear biomarker contributions, including cases where high CRP, low albumin, or elevated MLR overrode favorable PD-L1 or Treg profiles. A biomarker dashboard including interactive visualizations is available at https://compo.inria.fr/pioneer-website/. Conclusions Multimodal machine learning integration of clinical, genomic, immune, and laboratory data enables improved prediction of ICI resistance in NSCLC beyond current biomarkers. This approach not only captures the multifaceted nature of tumour-host interactions but also highlights the underrecognized predictive value of accessible blood-based markers, offering a path toward individualized immunotherapy decision-making. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This work benefited from a government grant handled by the French National Research Agency (ANR) as part of the France 2030 investment plan, under the reference ANR-17-RHUS-0007. This work was supported by a partnership of Aix-Marseille Universite (AMU), Assistance Publique Hopitaux de Marseille (APHM), Centre National de La Recherche Scientifique (CNRS), Institut National de la Sante et de la Recherche Medicale (INSERM), Centre Leon Berard (CLB), Institut Paoli Calmettes (IPC), Gustave Roussy (GR), AstraZeneca (AZ), Veracyte (VERA), Innate Pharma (IPH) & ImCheck Therapeutics (ICT), and initiated by Marseille Immunopole. The authors gratefully acknowledge the support of the APHM, which sponsored the PIONeeR clinical studies. Its role was to control the appropriateness of ethical and legal considerations for all centers and to perform the monitoring of the consents signed and the clinical data recorded and coded as part of the study. The authors are grateful to all the patients and their families, as well as all the investigators, for their participation in the study. This work benefited from support from ITMO Cancer AVIESAN and French Institut National du Cancer (grant #19CM148-00) and from the French National Research Agency (ANR), under the France 2030 program, reference ANR-22-PESN-0017. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The study was conducted in accordance with the Helsinki declaration, French laws and regulations and the International Conference on Harmonization (ICH) E6 Guideline for Good Clinical Practice. The study was approved by the French ethics committee (Comite de Protection des Personnes Ouest II Angers, no. 2018/08) and the French drug and device regulation agency (Agence Nationale de Securite du Medicament, no. 2018020500208). Informed consent was obtained from each participant before any study procedure. The study is registered at ClinicalTrials.gov ([NCT03493581][1]). I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes All data produced in the present study are available upon reasonable request to the authors [1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT03493581&atom=%2Fmedrxiv%2Fearly%2F2026%2F01%2F11%2F2026.01.09.26343779.atom

    2026引用:1
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    合作机构(100)

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