Results 161 to 170 of about 8,655,439 (299)

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Editorial: Statistical Data Science - Theory and Applications in Analyzing Omics Data

Frontiers in Applied Mathematics and Statistics, 2022
Li Xing, Xuekui Zhang, Liangliang Wang
doaj   +1 more source

Statistics of general functions of a Gaussian field-application to non-Gaussianity from preheating [PDF]

, 2013
Teruaki Suyama, Shuichiro Yokoyama, Teruaki Suyama, Shuichiro Yokoyama   +3 more
openalex   +1 more source

1968 Statistics

, 1968
1968 Men\u27s Cross Country Statistics, George Fox ...
George Fox University Archives
core   +1 more source

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

1985 Statistics

, 1985
1985 Men\u27s Baseball Statistics, George Fox ...
George Fox University Archives
core   +4 more sources

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Publisher Correction: Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics [PDF]

, 2020
Jean Morrison, Nicholas Knoblauch, Joseph Marcus, Matthew Stephens, Xin He   +4 more
openalex   +1 more source

Power-law and log-normal avalanche size statistics in random growth processes [PDF]

, 2021
Stefano Polizzi, Francisco J. Pérez‐Reche, A. Arnéodo, Françoise Argoul   +3 more
openalex   +1 more source

Characterizing epithelial‐mesenchymal transition‐linked heterogeneity in breast cancer circulating tumor cells at a single‐cell level

Molecular Oncology, EarlyView.
In over 50% of non‐metastatic breast cancer patients, circulating tumor cells (CTCs) along the whole epithelial‐mesenchymal transition spectrum are detected. Total CTC number and individual phenotypes relate to aggressive disease characteristics, including lymph node involvement and higher tumor proliferation. At the single‐cell level, mesenchymal CTCs
Justyna Topa, Julia Richert, Tomasz Stokowy, Alicja Staśczak, Mariusz Szajewski, Maciej Ciesielski, Petra M. Grešner, Bartłomiej Tomasik, Łukasz Arcimowicz, Agnieszka Stankiewicz, Grażyna Suchodolska, Elżbieta Senkus, Wiesław Kruszewski, Anna J. Żaczek, Aleksandra Markiewicz   +14 more
wiley   +1 more source