Results 121 to 130 of about 2,022,996 (246)

Supplementary Figure 6 from Tumor Burden Dictates the Neoantigen Features Required to Generate an Effective Cancer Vaccine

<p>Phenotype characterization of total CD8+ and nAg #23+ CD8+T cells in presence and absence of the “Help”. A) Schematic representation of the experimental set up. B) Representative FACS gating strategy for intratumoral CD8+ T cells. C-D) Phenotype characterization of CD8+ T cells infiltrating the tumors (C, n=14-17) and the tumor draining lymph ...
Anna Morena D'Alise, Elisa Scarselli, Valeria Poli, Massimo Mallardo, Carmen Caiazza, Laura Conti, Giuseppina Romano, Simona Allocca, Gabriella Cotugno, Laura Antonucci, Laura Seclì, Guido Leoni, Fulvia Troise, Lidia Avalle, Linda Nocchi, Irene Garzia   +15 more
openaire   +1 more source

A guide to transcriptional cyclin‐dependent kinases in cancer

The FEBS Journal, EarlyView.
Transcriptional cyclin‐dependent‐kinases (tCDKs) facilitate gene expression by promoting RNA polymerase II (RNAPII) progression through discrete phases of the transcription cycle. Aberrant tCDK activity is detectable in different human cancers, thereby contributing to de‐regulated gene expression programs that drive oncogenic phenotypes.
Jennifer R. Devlin, Salla Kyheröinen, Ricky W. Johnstone   +2 more
wiley   +1 more source

Immune Stress-induced Tumor Mutation Burden and Neoantigen Expression in 4T1 Mammary Cancer Cells: A Potential Mechanism for Long-term Survival in Patients Treated With Immune Checkpoint Inhibitors

Cancer Genomics - Proteomics
The Kaplan-Meier curves for patients treated with immune checkpoint inhibitors (ICIs) display a small group of potentially-cured patients with long-term survival, creating a 'kangaroo-tail' shape of the survival curve. However, the mechanistic basis of this phenomenon and what occurs in patients whose cancer is resistant to ICIs remain unclear.
ISHIGURO, TOMOYUKI, TAKEDA, KAZUYUKI, TAKAYANAGI, DAISUKE, MURA, EMIKO, SUZUKI, RISAKO, TSURUI, TOSHIAKI, IRIGUCHI, NANA, HIRASAWA, YUYA, OHKUMA, RYOTARO, SHIMOKAWA, MASAHIRO, ARIIZUMI, HIROTSUGU, KUBOTA, YUTARO, HORIIKE, ATSUSHI, IZUMIZAKI, MASAHIKO, WADA, SATOSHI, YOSHIMURA, KIYOSHI, HOFFMAN, ROBERT M., TSUNODA, TAKUYA   +17 more
openaire   +4 more sources

Supplementary Figure 4 from Tumor Burden Dictates the Neoantigen Features Required to Generate an Effective Cancer Vaccine

<p>Characterization of neoAg#23 specific T cell subsets in the presence/ absence of T cell “Help”. A) Schematic representation of the experiment. Mice were s.c. injected with CT26 cells and 5 days later, immunized with GAd vaccines CD4+CD8#23 (Help) and CD8#23 (No Help) in combination with anti-PD1. At day 9 and day 14 post vaccination, tumors (B)
Anna Morena D'Alise, Elisa Scarselli, Valeria Poli, Massimo Mallardo, Carmen Caiazza, Laura Conti, Giuseppina Romano, Simona Allocca, Gabriella Cotugno, Laura Antonucci, Laura Seclì, Guido Leoni, Fulvia Troise, Lidia Avalle, Linda Nocchi, Irene Garzia   +15 more
openaire   +1 more source

A guide to studying tumour‐T‐cell interactions using in vitro coculture assays

The FEBS Journal, EarlyView.
In vitro tumour‐T‐cell coculture systems provide a controlled way to study how T cells recognise and kill tumour cells. Different tumour models can be combined with antigen‐specific TCR or CAR T cells, while antigen presentation, cytokines, drugs and tumour genetics can be manipulated.
Nooshin Khoshdoozmasouleh, Conor J. Kearney   +1 more
wiley   +1 more source

Supplementary Table 1 from Tumor Burden Dictates the Neoantigen Features Required to Generate an Effective Cancer Vaccine

<p>List of the GAd encoded CT26 neoantigens selected according to: binding predictions for MHC-I (IC50 ≤ 500nM) and MHC-II (binding score ≤ 1); tumor allele frequency (MAF≥ 25%) and RNA expression (mutated RNA reads ≥ 1). The mutated amino acid is underlined. MAF = Minor Allele Frequency.</p>
Anna Morena D'Alise, Elisa Scarselli, Valeria Poli, Massimo Mallardo, Carmen Caiazza, Laura Conti, Giuseppina Romano, Simona Allocca, Gabriella Cotugno, Laura Antonucci, Laura Seclì, Guido Leoni, Fulvia Troise, Lidia Avalle, Linda Nocchi, Irene Garzia   +15 more
openaire   +1 more source

The Immunogenic Tumor-Specific Neoantigen Database (ITSNdb): A Tool for Comprehensive Performance Evaluation of Neoantigen Immunogenicity Predictors

The identification of tumor-specific neoantigen (TSN) immunogenicity is crucial to develop peptide/mRNA based antitumoral vaccines and/or adoptive T cell immunotherapies. In silico immunogenicityprediction of candidate peptides is crucial to speed up the
Nibeyro, Guadalupe, Flesia, Rocio, Orschanski, Daniela, Fernandez, Elmer Andres, Nava, Agustín, Baronetto, Verónica Mabel   +5 more
core   +1 more source

Periodontal Medicine Rewired: Mechanisms Linking Periodontitis to Systemic Diseases

Journal of Periodontal Research, EarlyView.
This review reorganizes decades of research in periodontal medicine into a multi‐dimensional framework, illustrating how periodontitis influences systemic health through at least seven interconnected mechanisms. ABSTRACT Periodontitis is now recognized not merely as a localized oral condition but as a systemic disease linked to over 70 communicable and
Mario Romandini, George Hajishengallis, Mike Curtis, Giacomo Baima   +3 more
wiley   +1 more source

Lung cancer vaccines to enhance immune checkpoint inhibitor therapy: evidence and future perspectives

Journal of Hematology & Oncology
Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of lung cancer over the past decade, markedly improving antitumor responses, overall survival, and quality of life.
Zhiting Tang, Linjun Zha, Ruqiang Liang, Tianhong Li   +3 more
doaj   +1 more source

Supplementary Figure 5 from Tumor Burden Dictates the Neoantigen Features Required to Generate an Effective Cancer Vaccine

<p>Representative numbers of total and #23+ CD8+ T cells in tumor and spleen of Help versus non Help vaccine. A) Experimental scheme, FACS gating strategy with representative FACS plots of intratumoral #23+ CD8+ T cells in Help group and untreated group. B and C) Average number of total CD8+ and #23+ T cells relative to figure 6B, 6C, 6E, 6F, per
Anna Morena D'Alise, Elisa Scarselli, Valeria Poli, Massimo Mallardo, Carmen Caiazza, Laura Conti, Giuseppina Romano, Simona Allocca, Gabriella Cotugno, Laura Antonucci, Laura Seclì, Guido Leoni, Fulvia Troise, Lidia Avalle, Linda Nocchi, Irene Garzia   +15 more
openaire   +1 more source