Results 61 to 70 of about 16,100 (233)

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

XMAn-A Homo sapiens Mutated Cancer Peptides Database

, 2016
To enable the identification of mutated peptide sequences in complex biological samples, in this work, a cancer protein database with mutation information collected from several public resources such as COSMIC, IARC P53, OMIM and UniProtKB, was developed.
Iulia M. Lazar (2348017), Xu Yang (112496)   +1 more
core   +1 more source

The complex impact of cancer-related missense mutations on the stability and on the biophysical and biochemical properties of MAPK1 and MAPK3 somatic variants

Human Genomics, 2023
Mitogen-activated protein kinases 1 and 3 (MAPK1 and MAPK3), also called extracellular regulated kinases (ERK2 and ERK1), are serine/threonine kinase activated downstream by the Ras/Raf/MEK/ERK signal transduction cascade that regulates a variety of ...
Maria Petrosino, L. Novak, A. Pasquo, Paola Turina, E. Capriotti, V. Minicozzi, V. Consalvi, R. Chiaraluce   +7 more
semanticscholar   +1 more source

Inferring Potential Cancer Driving Synonymous Variants

, 2022
Synonymous single nucleotide variants (sSNVs) are often considered functionally silent, but a few cases of cancer-causing sSNVs have been reported. From available databases, we collected four categories of sSNVs: germline, somatic in normal tissues ...
Bromberg, Yana, Zeng, Zishuo, Yana Bromberg, Zishuo Zeng   +3 more
core   +1 more source

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

Advanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang, Jiajia Liu, Jianguo Wen, Yangyang Luo, Zhiwei Fan, Liren Yang, Xi Hu, Ruihan Luo, Yankai Yu, Sophia Li, Weiling Zhao, Xiaobo Zhou   +11 more
wiley   +1 more source

Computational Identification and Validation of Non-Synonymous SNPs in Progesterone Receptor Membrane Complex 1 Linked to Lung Cancer

International journal of experimental research and review, 2023
Numerous gene polymorphisms have been attributed to Lung cancer, but PGRMC1 (Progesterone receptor membrane component 1) is a lesser-known candidate among them.
Solaipriya Solairaja, H. S. Mohideen, Sivaramakrishnan Venkatabalasubramanian   +2 more
semanticscholar   +1 more source

Mutational profiles of marker genes of cervical carcinoma in Bangladeshi patients

BMC Cancer, 2021
Background Cervical cancer is a gynecologic cancer type that develops in the cervix, accounting for 8% mortality of all female cancer patients. Infection with specific human papillomavirus (HPV) types is considered the most severe risk factor for ...
Shahana Sharmin, Fatima Tuj Zohura, Md. Sajedul Islam, Anika Shimonty, Md. Abdullah-Al-Kamran Khan, Rehana Parveen, Foujia Sharmin, Chowdhury Rafiqul Ahsan, Abul Bashar Mir Md. Khademul Islam, Mahmuda Yasmin   +9 more
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Clinical predictors of survival in malignant peripheral nerve sheath tumors of the head and neck: A cox regression and nomogram study

Brazilian Journal of Otorhinolaryngology
Objectives: Malignant Peripheral Nerve Sheath Tumors (MPNST) are rapidly progressing Schwann cell neoplasms. This study aimed to develop a practical clinical nomogram that predicts prognosis in patients with Head and Neck MPNST (HN-MPNST) using the ...
Sun LiNa, Tu Jianfei, Tian Zhifeng, Wang Xinbin, Wu Hui   +4 more
doaj   +1 more source

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 more
wiley   +1 more source