Publications by authors named "Signoretti S"

Neoadjuvant systemic treatment strategies have improved outcomes in several solid tumour types. This success has not yet been replicated in renal cell carcinoma (RCC). A consensus and international collaboration are urgently needed for the development of adaptive perioperative immunotherapy strategies for patients with RCC at high risk of recurrence.

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Background: Natural killer (NK) cells are important contributors to antitumor immunity in clear-cell renal cell carcinoma (ccRCC). However, their phenotype, function, and association with clinical outcomes in ccRCC remain poorly understood.

Materials And Methods: We analyzed single-cell RNA sequencing data from 13 primary tumors, 1 localized tumor extension, and 1 metastasis from ccRCC patients at different clinical stages.

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Immune checkpoint inhibitors can lead to 'exceptional', durable responses in a subset of persons. However, the molecular basis of exceptional response (ER) to immunotherapy in metastatic clear cell renal cell carcinoma (mccRCC) has not been well characterized. Here we analyzed pretherapy genomic and transcriptomic data in treatment-naive persons with mccRCC treated with standard-of-care immunotherapies: (1) combination of programmed cell death protein and ligand 1 (PD1/PDL1) and cytotoxic T lymphocyte-associated protein 4 inhibitors (IO/IO) or (2) combination of PD1/PDL1 and vascular endothelial growth factor (VEGF) receptor inhibitors (IO/VEGF).

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The advent of spatial transcriptomics and spatial proteomics have enabled profound insights into tissue organization to provide systems-level understanding of diseases. Both technologies currently remain largely independent, and emerging same slide spatial multi-omics approaches are generally limited in plex, spatial resolution, and analytical approaches. We introduce IN-situ DEtailed Phenotyping To High-resolution transcriptomics (IN-DEPTH), a streamlined and resource-effective approach compatible with various spatial platforms.

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CRISPR is revolutionizing the ability to do somatic gene editing in mice for the purpose of creating new cancer models. Inactivation of the tumor suppressor gene is the signature initiating event in the most common form of kidney cancer, clear cell renal cell carcinoma (ccRCC). Such tumors are usually driven by the excessive HIF2 activity that arises when the gene product, pVHL, is defective.

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Article Synopsis
  • - Histopathology image evaluation is crucial for cancer diagnosis, but traditional AI methods struggle with generalizing across different imaging protocols and sample populations due to their specialized nature.
  • - The Clinical Histopathology Imaging Evaluation Foundation (CHIEF) model is introduced as a general-purpose, weakly supervised machine learning framework designed to systematically evaluate cancer by extracting diverse imaging features through two complementary pretraining methods.
  • - CHIEF, trained on over 60,000 whole-slide images from various sites, demonstrated improved performance over existing deep learning approaches by up to 36.1%, showing its effectiveness in adapting to diverse samples and enhancing digital pathology evaluations for cancer patients.
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Cancer cell proliferation requires precise control of E2F1 activity; excess activity promotes apoptosis. Here, we developed cell-permeable and bioavailable macrocycles that selectively kill small cell lung cancer (SCLC) cells with inherent high E2F1 activity by blocking RxL-mediated interactions of cyclin A and cyclin B with select substrates. Genome-wide CRISPR/Cas9 knockout and random mutagenesis screens found that cyclin A/B RxL macrocyclic inhibitors (cyclin A/Bi) induced apoptosis paradoxically by cyclin B- and Cdk2-dependent spindle assembly checkpoint activation (SAC).

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Autologous therapeutic tumor-infiltrating lymphocyte (TIL) therapy is a promising strategy to enhance antitumor immunity. Optimization of ex vivo TIL expansion could expand current immunotherapy options. Previous attempts to generate TIL in renal cell carcinoma (RCC) have been technically challenging.

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Article Synopsis
  • The study investigated the effectiveness of nivolumab, an immunotherapy drug, used before and after surgery in patients with high-risk renal cell carcinoma compared to traditional surgery alone.
  • It was a randomized phase 3 trial involving 819 patients across multiple sites in the US and Canada, who were assigned to either the nivolumab plus surgery group or surgery only group.
  • The primary outcome measured was recurrence-free survival, with safety being assessed for all patients who started treatment, and the trial has been officially closed to new participants.
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Renal cell carcinoma with sarcomatoid differentiation (sRCC) is associated with poor survival and a heightened response to immune checkpoint inhibitors (ICIs). Two major barriers to improving outcomes for sRCC are the limited understanding of its gene regulatory programs and the low diagnostic yield of tumor biopsies due to spatial heterogeneity. Herein, we characterized the epigenomic landscape of sRCC by profiling 107 epigenomic libraries from tissue and plasma samples from 50 patients with RCC and healthy volunteers.

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The aim of this study was to compare filter-aided sample preparation (FASP) and protein aggregation capture (PAC) starting from a three-species protein mix (, and ) and two different starting amounts (1 and 10 µg). Peptide mixtures were analyzed by data-independent acquisition (DIA) and raw files were processed by three commonly used software: Spectronaut, MaxDIA and DIA-NN. Overall, the highest number of proteins (mean value of 5491) were identified by PAC (10 µg), while the lowest number (4855) was identified by FASP (1 µg).

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Saliby et al. show that a machine learning approach can accurately classify clear cell renal cell carcinoma (RCC) into distinct molecular subtypes using transcriptomic data. When applied to tumors biospecimens from the JAVELIN Renal 101 (JR101) trial, a benefit is observed with immune checkpoint inhibitor (ICI)-based therapy across all molecular subtypes.

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One of the major hurdles that has hindered the success of chimeric antigen receptor (CAR) T cell therapies against solid tumors is on-target off-tumor (OTOT) toxicity due to sharing of the same epitopes on normal tissues. To elevate the safety profile of CAR-T cells, an affinity/avidity fine-tuned CAR was designed enabling CAR-T cell activation only in the presence of a highly expressed tumor associated antigen (TAA) but not when recognizing the same antigen at a physiological level on healthy cells. Using direct stochastic optical reconstruction microscopy (dSTORM) which provides single-molecule resolution, and flow cytometry, we identified high carbonic anhydrase IX (CAIX) density on clear cell renal cell carcinoma (ccRCC) patient samples and low-density expression on healthy bile duct tissues.

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Article Synopsis
  • The study addresses a key challenge in treating solid tumors with CAR T cells, specifically the negative effects of the tumor microenvironment (TME).
  • Researchers created a modified CAR T cell (G36-PDL1) that not only targets a protein associated with tumors (carbonic anhydrase IX or CAIX) but also secretes an antibody to counteract immune suppression.
  • In tests using a mouse model of kidney cancer, the G36-PDL1 CAR T cells showed strong anti-tumor effects by enhancing immune responses and reducing suppressive cells in the TME compared to standard CAR T cells.
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Objective: Although the supraorbital (SO) keyhole approach has a wide range of indications, its routine usefulness with the advance of current technology has not been fully evaluated. In an attempt to address this issue, a cadaveric morphometric analysis to the supra- and parasellar regions was performed, comparing the standard Pterional craniotomy (PT) with the SO keyhole.

Methods: ETOH-fixed and silicone-injected human cadaveric heads were used.

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Purpose: Programmed cell death protein 1 (PD-1) expression on CD8+TIM-3-LAG-3- tumor-infiltrating cells predicts positive response to PD-1 blockade in metastatic clear-cell renal cell carcinoma (mccRCC). Because inhibition of PD-1 signaling in regulatory T cells (Treg) augments their immunosuppressive function, we hypothesized that PD-1 expression on tumor-infiltrating Tregs would predict resistance to PD-1 inhibitors.

Experimental Design: PD-1+ Tregs were phenotyped using multiparametric immunofluorescence in ccRCC tissues from the CheckMate-025 trial (nivolumab: n = 91; everolimus: n = 90).

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Article Synopsis
  • HHLA2 is an immune checkpoint associated with kidney cancer and other tumors, and understanding its expression regulation is key for developing targeted therapies.
  • HHLA2 expression is found in primary kidney tumors but decreases in vitro, while it can be induced in vivo under specific tumor microenvironment conditions.
  • Only certain cytokines like IL-10 and BMP4 can modestly enhance HHLA2 expression in immune cells, indicating complex regulation involving tumor and immune cell interactions.
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  • Clear cell renal cell carcinoma (ccRCC) is a type of kidney cancer that reacts well to certain immune treatments, but scientists are trying to figure out how it works better for some patients.
  • Researchers used advanced computer models to analyze tumor and immune cell images from over 1,100 patients, finding patterns in the cancer that doctors might miss.
  • They discovered a specific group of ccRCC tumors that have unique features related to immune activity, which helps predict how well patients will respond to the immune treatments.
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Small cell lung cancer (SCLC) exists broadly in four molecular subtypes: ASCL1, NEUROD1, POU2F3 and Inflammatory. Initially, SCLC subtypes were thought to be mutually exclusive, but recent evidence shows intra-tumoural subtype heterogeneity and plasticity between subtypes. Here, using a CRISPR-based autochthonous SCLC genetically engineered mouse model to study the consequences of KDM6A/UTX inactivation, we show that KDM6A inactivation induced plasticity from ASCL1 to NEUROD1 resulting in SCLC tumours that express both ASCL1 and NEUROD1.

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Background: The tumor microenvironment (TME) contributes to cancer progression and treatment response to therapy, including in renal cell carcinoma (RCC). Prior profiling studies, including single-cell transcriptomics, often involve limited sample sizes and lack spatial orientation. The TME of RCC brain metastases, a major cause of morbidity, also remains largely uncharacterized.

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Background: Even though cytoreductive nephrectomy (CN) was once the standard of care for patients with advanced renal cell carcinoma (RCC), its role in treatment has not been well analyzed or defined in the era of immunotherapy (IO).

Materials And Methods: This study analyzed pathological outcomes in patients with advanced or metastatic RCC who received IO prior to CN. This was a multi-institutional, retrospective study of patients with advanced or metastatic RCC.

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Molecular routes to metastatic dissemination are critical determinants of aggressive cancers. Through in vivo CRISPR-Cas9 genome editing, we generated somatic mosaic genetically engineered models that faithfully recapitulate metastatic renal tumors. Disruption of 9p21 locus is an evolutionary driver to systemic disease through the rapid acquisition of complex karyotypes in cancer cells.

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