Results 151 to 160 of about 101,164 (260)

Regional Variations in Guideline Concordance for Women with Triple-Negative and HER2+ Breast Cancer in Nova Scotia. [PDF]

Curr Oncol
Mayo A, Stewart H, Li T, Penny C, Hemsworth R, Drohan A, Neumann K, Gala-Lopez B, Spence RT, Knapp G.   +9 more
europepmc   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Stage at Diagnosis and Molecular Subtype Distribution of Breast Cancer in Sub-Saharan Africa: A Systematic Review. [PDF]

Cancer Rep (Hoboken)
Fall AD, Veses V, Sheth CC.
europepmc   +1 more source

Lighting up Macrophage Reprogramming Assists Immunosuppressive Niche Modulation in Primary Tumors and Tumor‐Draining Lymph Nodes of Breast Cancer

Advanced Science, EarlyView.
This study develops an intelligent NIR‐II‐responsive nanoplatform to combat immunosuppression in breast cancer. It enables real‐time visualization of macrophage activity via “off‐on” fluorescence while simultaneously reprogramming macrophages through the CSF‐1R and CD47‐SIRPα pathways.
Yingbo Li, Di Chang, Jie Yang, Ying Bai, Min Chen, Daoshuang Li, Zuoyu Xu, Jiaxin Yuan, Xiaoxuan Xu, Zhiqi Zhang, Yize Li, Zixin Chen, Jinbing Xie, Zebin Xiao, Shenghong Ju   +14 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Adjuvant chemotherapy combined with pembrolizumab immunotherapy for primary triple-negative neuroendocrine carcinoma of the breast: a case report and literature review. [PDF]

Front Immunol
Shen X, Yang J, Du Y, Fu D.
europepmc   +1 more source

Stage‐Specific H3K14 and H3K23 Succinylation Orchestrates Insect Metamorphosis and Oogenesis

Advanced Science, EarlyView.
Stage‐specific succinylation of histone H3 at lysine 14 and 23 differentially controls insect metamorphosis and oogenesis through distinct GPCR‐PKC signaling cascades, revealing an evolutionarily conserved epigenetic mechanism that coordinates key life‐history traits.
Yu‐Pu Jing, Lunjie Li, Libin Yang, Lin‐Jie Zhang, Qiang Yan, Ci Zhang, Zanrong Wen, Guangze Yu, Qian Li, Shutang Zhou   +9 more
wiley   +1 more source

Targeting B7-H3 in patients with metastatic triple-negative breast cancer and brain metastases: an opportunity to "revive" immunotherapy as a treatment strategy? [PDF]

J Immunother Cancer
Kojundzic I, Zatzman C, Belone Lopes J, Ramay R, Bayani J, Spears M, Jerzak KJ.   +6 more
europepmc   +1 more source

Balancing Stealth and Targetability: cCPP‐ and PEG‐Modified Liposomes for the Targeted Delivery of Anti‐HER2 Nanobodies

Advanced Science, EarlyView.
This study addresses the rapid renal clearance of anti‐HER2 nanobodies by developing specialized liposomal carriers. It details the formulation of dual modified liposomes, demonstrating how PEGylation preserves structural integrity and cell‐penetrating peptides enhance cellular interaction.
Giulia Pander, Maria del Pilar Palacios Cisneros, Clara Certa, Megan Stierli, Katharina Beck, Nicolas Färber, Lisa Blank, Fiona Tanner, Eric Mühlberg, Sabrina Wohlfart, Christian Kleist, Jörg Huwyler, Gert Fricker, Walter Mier, Philipp Uhl   +14 more
wiley   +1 more source

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

Advanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang, Shengxin Lu, Guangyong Zheng, Shensuo Li, Hongyu Chen, Mei Hong, Xiangru Zhou, Ruotian Tang, Ye Wu, Weidong Zhang, Dong Lu, Xin Luan   +11 more
wiley   +1 more source