Oncologie5 articles

Impact 3

Mutations Targeted by Nous-209 Immunotherapy Occur Early in Lynch Syndrome Carriers' Precancer Lesions with Microsatellite Instability.

Publié: 2026-05-11

Cancer prevention research (Philadelphia, Pa.)

MediLens Indexé: 2026-05-12

This study characterizes precancerous colorectal lesions in Lynch syndrome carriers and evaluates the potential of Nous-209 immunotherapy for cancer prevention. Among 50 adenomas and 12 advanced adenomas from 26 carriers, 83% of advanced adenomas and 58% of adenomas were found to be MMR-deficient...

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Impact 3

Multifunctionally Modified Low Molecular Weight PEI for Efficient Gene Delivery and Ferroptosis-Induced Antitumor Activity.

Publié: 2026-05-11

Biomacromolecules

MediLens Indexé: 2026-05-12

This study presents a multifunctional cationic polymer (PFFc) designed for efficient gene delivery and induction of ferroptosis in cancer therapy. The polymer demonstrated strong gene-specific cytotoxicity in proliferation assays, outperforming nontherapeutic controls. Mechanistically, PFFc enhan...

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Impact 3

iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

Publié: 2026-05-11

Signal transduction and targeted therapy

MediLens Indexé: 2026-05-12

The study presents iS2C2, a novel platform that integrates computational algorithms with large language models to analyze single-cell RNA-seq and spatial transcriptomics data. This platform addresses the limitations of traditional methods by generating biologically interpretable hypotheses. When ...

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Impact 3

Comparative Assessment of Free Energy Computational Methods for Revealing the Interactions Driving PARP1 Selective Inhibition.

Publié: 2026-05-11

Journal of chemical information and modeling

MediLens Indexé: 2026-05-12

This study evaluates three computational methods for predicting inhibitor selectivity in PARP enzymes relevant to ovarian, breast, and prostate cancers. MM/PBSA provides qualitative insights but is sensitive to conformational changes, while ABFE and US methods yield better alignment with experime...

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Impact 2

Performance of multimodal large language models for the detection and characterization of bone lesions on radiographs.

Publié: 2026-05-11

Diagnostic and interventional radiology (Ankara, Turkey)

MediLens Indexé: 2026-05-12

This study evaluated five large language models (LLMs) for detecting and characterizing bone lesions on plain radiographs using 3,746 images. ChatGPT 5.2 showed the best accuracy (0.803) and specificity (0.916) for lesion detection, while Claude Sonnet 4.6 and Gemini 3 Flash excelled in sensitivi...

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Tendances de la Recherche Médicale

Oncologie5 articles

Mutations Targeted by Nous-209 Immunotherapy Occur Early in Lynch Syndrome Carriers' Precancer Lesions with Microsatellite Instability.

Multifunctionally Modified Low Molecular Weight PEI for Efficient Gene Delivery and Ferroptosis-Induced Antitumor Activity.

iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

Comparative Assessment of Free Energy Computational Methods for Revealing the Interactions Driving PARP1 Selective Inhibition.

Performance of multimodal large language models for the detection and characterization of bone lesions on radiographs.

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