Results 181 to 190 of about 5,857,634 (333)

The effect of malaria on stunting: an instrumental variables approach. [PDF]

Trans R Soc Trop Med Hyg, 2021
Ateba FF, Doumbia S, Ter Kuile FO, Terlouw DJ, Lefebvre G, Kariuki S, Small DS.   +6 more
europepmc   +1 more source

Iterative regularization in nonparametric instrumental regression [PDF]

We consider the nonparametric regression model with an additive error that is correlated with the explanatory variables. We suppose the existence of instrumental variables that are considered in this model for the identification and the estimation of the
JOHANNES, Jan, VAN BELLEGEM, Sébastien, VANHEMS, Anne   +2 more
core  

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Unraveling the causality between carpal tunnel syndrome and trigger finger through genetic instrumental variables. [PDF]

Eur J Med Res
Huang J, Deng K, Huang S, Lv Z, Zhou S, Chen M.   +5 more
europepmc   +1 more source

Opportunities and challenges in using instrumental variables to study causal effects in nonrandomized stress and trauma research. [PDF]

Psychol Trauma, 2023
Matthay EC, Smith ML, Glymour MM, White JS, Gradus JL.   +4 more
europepmc   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

Molecular Oncology, EarlyView.
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon, Dong Young Kim, Yuna Kim, Uk‐Il Kim, Jae‐Sung Kim   +4 more
wiley   +1 more source

Leveraging Genetic Instrumental Variables and Sequencing Analysis to Identify a Prognostic Signature Based on Epithelial Cell Markers in Lung Adenocarcinoma. [PDF]

Thorac Cancer
Lao J, Han Z, Lou X, Ye J, Gao C, Wu L.
europepmc   +1 more source

Comparative Safety of Sleeve Gastrectomy and Gastric Bypass: An Instrumental Variables Approach. [PDF]

Ann Surg, 2022
Chhabra KR, Telem DA, Chao GF, Arterburn DE, Yang J, Thumma JR, Ryan AM, Blumenthal B, Dimick JB.   +8 more
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source