Results 141 to 150 of about 213,913 (289)

Tumor‐educated platelets in cancer diagnostics and prognostics: A critical appraisal and roadmap for clinical translation

International Journal of Cancer, EarlyView.
Abstract Tumor‐educated platelets (TEPs) are emerging as a compelling frontier in liquid biopsy, functioning as dynamic, systemic sensors that sequester and process tumor‐derived biomolecules. This interaction imprints an integrated molecular signature of malignancy—spanning the transcriptome, proteome, lipidome, and crucially, the captured genome ...
Whi‐An Kwon, Min‐Kyung Lee, Eunyong Ahn, Heeyeon Kim, Yong Sang Song, Taejin Ahn   +5 more
wiley   +1 more source

Alternative Price Dynamics and Valuation of Flexible Strategies

International Journal of Finance &Economics, EarlyView.
ABSTRACT In this article, we study the optimal operational strategy of production projects. We investigate different underlying price models and determine the optimal barriers of transition to suspension, recovery, or irreversible abandonment of productive activity.
Cristina Bertolosi, Gianluca Fusai, Ioannis Kyriakou   +2 more
wiley   +1 more source

A Pan‐Cancer Microenvironment Atlas Constructed by DECEPTICONx

iMetaMed, EarlyView.
DECEPTICONx builds the most comprehensive pan‐cancer TME atlas to date from > 11,000 TCGA samples using 535,665 single cells, revealing 102 immune/stromal subtypes with robust novel associations to patient outcomes, immunotherapy response, and intercellular coordination in the TME.
Yida Gu, Fulan Deng, Lianchong Gao, Zhiyu Chen, Jianping Chen, Jiale Wu, Zengqiang Xia, Zhijian Li, Fangkaikai Cheng, Jie Chen, Henry H. Y. Tong, Wantao Chen, Xiaoqing Pan, Xin Zou, Jie Hao   +14 more
wiley   +1 more source

Decoding temporal miRNA signatures of semen under in vitro exposure for forensic time since deposition estimation using machine learning‐driven modeling

Interdisciplinary Medicine, EarlyView.
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai, Qiong Lan, Tong Xie, Qinglin Liu, Ming Zhao, Xiaolian Wu, Xin Shi, Ruonan Shen, Yiman Wu, Chen Mao, Bin Cong, Bofeng Zhu   +11 more
wiley   +1 more source

Discovery and validation of a urinary extracellular vesicle protein signature for the diagnosis of renal allograft fibrosis

Interdisciplinary Medicine, EarlyView.
Discovery and validation of a urinary extracellular vesicle protein signature for the diagnosis of renal allograft fibrosis. Abstract Interstitial fibrosis is the best indicator of irreversible or ongoing renal injury after kidney transplantation and faces considerable diagnostic challenges.
Wenxuan Zhao, Yang Xu, Yuewen Wang, Shihao Jin, Wenhui Wang, Zeming Yu, Yanwen Zhang, Yuxin Zhang, Deling Kong, Bing Wang, Zhenzhou Wu, Jie Zhao, Yuebing Wang   +12 more
wiley   +1 more source

The Semi‐Structured Clinical Interview for the Assessment of Compulsive Sexual Behavior (SSCI‐CSB): Development, Reliability, and Validity

Journal of Clinical Psychology, EarlyView.
ABSTRACT Objectives The assessment of Compulsive Sexual Behavior (CSB) requires fine‐grained assessment approaches, ideally through clinical interviews. However, none of the few available clinical interviews for CSB have demonstrated strong psychometric properties.
J. Castro‐Calvo, C. Giménez‐García, E. Ruiz‐Palomino, B. Gil‐Juliá, M. García‐Barba, R. Ballester‐Arnal   +5 more
wiley   +1 more source

RTA‐408 Enhances Radiosensitivity and Inhibited Tumor Progression via JNK Pathway in Glioblastoma

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Glioblastoma (GBM) is an aggressive brain tumor with poor prognosis owing to its high invasiveness and resistance to therapy. RTA‐408, a synthetic triterpenoid and nuclear factor erythroid 2‐related factor 2 activator, exhibits anti‐inflammatory and anti‐cancer properties; however, its effects on GBM remain unclear. This study investigated the
Hung‐Pei Tsai, Hao Qin, Yoon Bin Chong, I‐Hsiang Chen, Shih‐Hsun Kuo, Tzu‐Ting Tseng, Ann‐Shung Lieu   +6 more
wiley   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

Mass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik, Petr Lapcik, Pavla Bouchalova, Pavel Bouchal   +3 more
wiley   +1 more source

Systematic Deciphering of ATBC Nephrotoxicity Mechanisms via Machine Learning and Single‐Cell Analysis

Medicine Bulletin, EarlyView.
This study elucidates the nephrotoxic mechanism of acetyl tributyl citrate (ATBC) by integrating network toxicology, machine learning, and single‑cell multi‑omics analysis to systematically decipher the molecular mechanisms and cell‑type‑specific regulatory networks underlying ATBC‑induced kidney injury. First, a protein‑protein interaction network was
Yimao Wu, Yalun Liang, Jintao Liang, Wenlong Sun, Qian Zhang, Meng‐Yao Li   +5 more
wiley   +1 more source

Development and Validation of a Consensus Machine Learning–Derived Signature to Predict Survival and Treatment Benefits in Breast Cancer

Medicine Advances, EarlyView.
The consensus machine learning–derived prognostic signature (CMDPS) was developed by integrating 10 independent breast cancer cohorts and 76 algorithm combinations, which identified 19 robust survival‐associated genes. The CMDPS demonstrated superior prognostic performance compared to clinical features and 62 published transcriptome signatures ...
Guangyang Cheng, Zhan Wang, Fu Peng, Shuai Yang, Yudi Xu, Hongzhuo Qin, Run Shi, Zhaokai Zhou   +7 more
wiley   +1 more source