Results 151 to 160 of about 51,359 (249)

Regularization Approaches for High‐Dimensional Cox Models: A Case Study in Triple‐Negative Breast Cancer

International Statistical Review, EarlyView.
Summary In high‐dimensional survival analysis, effective variable selection is crucial both for model interpretation and predictive performance. This paper investigates Cox regression with lasso and adaptive lasso penalties in genomic datasets where covariates far outnumber observations.
Pilar González‐Barquero, Rosa E. Lillo, Álvaro Méndez‐Civieta   +2 more
wiley   +1 more source

Prognosis and Immunotherapy Effect of Triple-Negative Breast Cancer by Lactylation-Related Genes and Experimental Validation. [PDF]

Oncol Res
Wang Y, Xie Y, Ye Y, Shi Y, Li F, Zhu M, Hua C, Xu Y, Yang R, Liu S.   +9 more
europepmc   +1 more source

Advancing collagen‐related pathology assessment through second‐harmonic generation imaging

Journal of Microscopy, EarlyView.
Abstract Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second‐harmonic generation (SHG) imaging has emerged as a powerful label‐free modality for assessing collagen. This offers submicron resolution, intrinsic optical sectioning, and deeper imaging capabilities without the need for ...
Jackson Rodrigues, Manikanth Karnati, Gagan Raju, Edwin Pious, Ankur Gogoi, Guan‐Yu Zhuo, Nirmal Mazumder, Fu‐Jen Kao   +7 more
wiley   +1 more source

TFF1-mediated suppression of the TCA cycle promotes bone metastasis in triple-negative breast cancer. [PDF]

Transl Oncol
Chen H, Xu Y, Liu Y, Tang Y, Qiu J, Lei L, Lin P, Chen Y, Wu X.   +8 more
europepmc   +1 more source

MAP kinase activation in TNBC.

We conducted an in vitro screen to identify genes associated with resistance in human TNBC cells to two separate chemotherapeutic agents. MAPK10 and MAPK12 were among the kinases most significantly activated. Other kinases were activated during resistance to chemotherapy, including STK17A. 
openaire   +1 more source

An Update on Early‐Onset Breast Cancer: Incidence, Risk Factors, Genetic Testing, and Treatment

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Early‐onset breast cancer presents in patients typically under the age of 40, while very early‐onset breast cancer is usually viewed as breast cancer occurring before the age of 35. Early‐onset breast cancer demonstrates specific molecular properties and has worse outcomes compared to its late‐onset breast cancer counterpart.
Leila Jahangiri
wiley   +1 more source

Domain-Level Distribution of Pathogenic BRCA1/2 Somatic Mutations Shows No Evidence of Large Subtype-Specific Enrichment in Breast Cancer: A Three-Cohort Analysis Supporting Broad BRCA Testing. [PDF]

Genes (Basel)
Sertesen Çamöz E, Yıldız F, Dogan M, Terzi YK, Yılmaz Çelik Z.   +4 more
europepmc   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source

Baseline Neutrophil-to-Lymphocyte Ratio Predicts Overall Survival in PD-L1-positive Advanced Triple-negative Breast Cancer With Immune-checkpoint-inhibitor Treatment. [PDF]

Cancer Diagn Progn
Fujimoto A, Ichinose Y, Matsuura K, Mikami E, Inohana W, Kurosawa T, Nakame A, Sakakibara A, Nukui A, Asano A, Shimada H, Yokogawa H, Ohara M, Ishiguro H, Hasebe T, Osaki A, Saeki T.   +16 more
europepmc   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source