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Publications associées (30)

RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer

Cathrin Brisken, Ayyakkannu Ayyanan, Rachel Marcone

Multigene assays for molecular subtypes and biomarkers can aid management of early invasive breast cancer. Using RNA-sequencing we aimed to develop single-sample predictor (SSP) models for clinical markers, subtypes, and risk of recurrence (ROR). A cohort ...

NATURE PORTFOLIO2022

Expansion of T memory stem cells with superior anti-tumor immunity by Urolithin A-induced mitophagy

Pénélope Andreux

T memory stem cells (T-SCM) display increased self-renewal and prolonged survival capabilities, thus preventing T cell exhaustion and promoting effective anti-tumor T cell responses. T-SCM cells can be expanded by Urolithin A (UA), which is produced by the ...

CELL PRESS2022

Assessment of metal-based dihydrofolate reductase inhibitors on a novel mesofluidic platform

Paul Joseph Dyson, Sarah Alexandra Pais Pereira

A new miniaturized micro sequential injection coupled with the lab-on-valve (mu SIA-LOV) technique was full-blown to perform inhibitory studies on dihydrofolate reductase (DHFR). The system was used to evaluate the DHFR inhibition activity of metal-based a ...

ELSEVIER SCIENCE SA2022

Photoresponsive Nanocarriers Based on Lithium Niobate Nanoparticles for Harmonic Imaging and On-Demand Release of Anticancer Chemotherapeutics

Sandrine Gerber, Jérémy Vuilleumier, Adrian Stefan Gheata, Dario Diviani, Luigi Bonacina, Simon Kaiser

Nanoparticle-based drug delivery systems have the potential for increasing the efficiency of chemotherapeutics by enhancing the drug accumulation at specific target sites, therebyreducing adverse side effects and mitigating patient acquired resistance. In ...

2022

Technological and computational advances driving high-throughput oncology

Christoph Merten, Xiaoli Ma, Leonie Kolmar, Alexis Louis Autour, Blandine Anne Catherine Vergier

Engineering and computational advances have opened many new avenues in cancer research, particularly when being exploited in interdisciplinary approaches. For example, the combination of microfluidics, novel sequencing technologies, and computational analy ...

ELSEVIER SCIENCE LONDON2022

Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets

Christoph Merten, Ngoc Hien Du

Anti-cancer therapies often exhibit only short-term effects. Tumors typically develop drug resistance causing relapses that might be tackled with drug combinations. Identification of the right combination is challenging and would benefit from high-content, ...

Nature Research2022

Mechanical Immunoengineering of T Cells for Enhanced Cancer Immunotherapy

Kewen Lei

Cancer is one of the leading causes of death globally. Immunotherapy represents one of the most promising cancer treatments inducing complete and durable responses in a fraction of cancer patients. Despite the unprecedented clinical success achieved by T c ...

EPFL2022

Dendritic cell cross-dressing and tumor immunity

Michele De Palma, Amaia Martinez Usatorre

In addition to direct and cross-presentation, dendritic cells (DCs) can present tumor antigens (TAs) to T cells via a hitherto poorly understood mechanism called "cross-dressing." DC cross-dressing involves the acquisition of preformed peptide-major histoc ...

WILEY2022

Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies

Jiancheng Yang, Yi Ding, Zhen Gao

ObjectiveTo construct a new pulmonary nodule diagnostic model with high diagnostic efficiency, non-invasive and simple to measure. MethodsThis study included 424 patients with radioactive pulmonary nodules who underwent preoperative 7-autoantibody (7-AAB) ...

SPRINGER2022

Metal-organic framework-based hydrogel with structurally dynamic properties as a stimuli-responsive localized drug delivery system for cancer therapy

Dou Du, Xiaoxiao He, Can Zhang

Metal-organic framework (MOF) is an exciting class of porous biomaterials that have been considered as a carrier to store and deliver therapeutic drugs. However, similar to other nanomaterials, the application of MOF in clinical settings is still limited b ...

ELSEVIER SCI LTD2022

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