Results 151 to 160 of about 3,069,445 (313)

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

Brillouin microscopy in cancer research: a review. [PDF]

J Biomed Opt
Falkner N, Duman MN, Zabolizadeh Z, Mahmodi H, Shi C, Zhang J, Cox TR, Kabakova I.   +7 more
europepmc   +1 more source

Translational Lung Cancer Research is endorsed by the Bonnie J. Addario Lung Cancer Foundation.

, 2015
Grace S. Li
openalex   +1 more source

Reporting on Cancer Research [PDF]

, 1969
M. B. Shimkin
openalex   +1 more source

Additional file 1 of Diagnostic delay in soft tissue tumors: a single-center study of a university cancer center with a focus on health services research

, 2022
Tobias M. Ballhause, Alonja Reiter, Alexander Korthaus, Karl‐Heinz Frosch, Carsten Schlickewei, Matthias Priemel   +5 more
openalex   +1 more source

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

Mapping the landscape of rural cancer research: a global bibliometric analysis. [PDF]

Cancer Causes Control
Nelson D, Kleinhappel TK, Calanzani N, Cooke S, Pickwell-Smith B, Spencer K, Kane R, Naqvi SA, Selby P, Lawler M, Murchie P.   +10 more
europepmc   +1 more source

Supplementary Vignette 3 from Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

Jacob Rosenthal, Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman, Surya N. Hari, Eliezer M. Van Allen, Luigi Marchionni, Renato Umeton, Massimo Loda   +10 more
openalex   +1 more source

Exploration of disease - specific biomarkers in cancer research by integrating biological knowledge and high throughput data

, 2016
Στυλιανός Σφακιανάκης
openalex   +2 more sources

Prostate Cancer: Basic Research & Pathophysiology III (MP81) [PDF]

, 2019

openalex   +1 more source