Results 101 to 110 of about 2,943,479 (296)

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

Partial Correlation and RegressionChart to Facilitate the Calculation of Partial Coefficients of Correlation and Regression Equations. Truman L. Kelley [PDF]

, 1921
Karl J. Holzinger
openalex   +1 more source

Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma

Molecular Oncology, EarlyView.
Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf, Daniel Ehinger, Hans Brunnström, Mats Jönsson, Frida Rosengren, Marija Kotevska, Anna Karlsson, Mattias Aine, Christian Frezza, Maria Planck, Elsa Arbajian   +10 more
wiley   +1 more source

On the Estimation of Regression Coefficients in the Case of an Autocorrelated Disturbance [PDF]

, 1954
Ulf Grenander
openalex   +1 more source

The ACCEPTance of automation: refining circulating tumor cells enumeration for improved metastatic colorectal cancer prognosis

Molecular Oncology, EarlyView.
This study highlights the potential of automated enumeration using the ACCEPT software to refine circulating tumor cell (CTC) detection in metastatic colorectal cancer (mCRC). The automated method demonstrates improved accuracy and reduced variability compared to the manual approach.
Michela De Meo, Marco Siringo, Alessandro Vici, Ann Zeuner, Orietta Gandini, Paola Gazzaniga, Chiara Nicolazzo   +6 more
wiley   +1 more source

A Note on Regression Analysis [PDF]

, 1947
Abraham Wald
openalex   +1 more source

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

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

Hazard Regression [PDF]

, 2000
Grund, Birgit, Yang, Lijian
openaire   +5 more sources

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