Results 201 to 210 of about 7,180,133 (408)

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source

Naturally-Acquired Immune Response against Plasmodium vivax Rhoptry-Associated Membrane Antigen

, 2016
Siriruk Changrob, Bo Wang, Jin Hee Han, Seong-Kyun Lee, Myat Htut Nyunt, Chae Seung Lim, Takafumi Tsuboi, Patchanee Chootong, Eun-Taek Han   +8 more
openalex   +2 more sources

Supplementary Table 2 from Acquired Resistance to EGFR Inhibitors Is Associated with a Manifestation of Stem Cell–like Properties in Cancer Cells [PDF]

, 2023
Kazuhiko Shien, Shinichi Toyooka, Hiromasa Yamamoto, Junichi Soh, Masaru Jida, Kelsie L. Thu, Shinsuke Hashida, Yuho Maki, Eiki Ichihara, Hiroaki Asano, Kazunori Tsukuda, Nagio Takigawa, Katsuyuki Kiura, Adi F. Gazdar, Wan L. Lam, Shinichiro Miyoshi   +15 more
openalex   +1 more source

Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study

Thorax, 2003
W. Lim, M. Eerden, R. Laing, W. Boersma, N. Karalus, G. Town, S. Lewis, J. Macfarlane   +7 more
semanticscholar   +1 more source

Screening for lung cancer: A systematic review of overdiagnosis and its implications

Molecular Oncology, EarlyView.
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz, Laura de la Torre‐Perez, David R Baldwin, Carlijn van der Aalst, Mangesh Thorat, David Ritchie, Andre L Carvalho, Carolina Espina, Ivan Solà, Carlos Canelo‐Aybar, Moira Magdalena Pissinis, Pablo Alonso‐Coello, Ana Carolina Pereira Nunes Pinto   +12 more
wiley   +1 more source

Prevalence, microbiological profiles, and determinants of hospital-acquired pneumonia in Addis Ababa: A focus on Pseudomonas aeruginosa and its antimicrobial resistance patterns in three hospitals. [PDF]

PLoS One
Hailemichael EB, Desta AF, Taye G, Gari SR, Adamu E, Ayenew Z, Amogne W.   +6 more
europepmc   +1 more source

Subtalar Arthroereisis with Endorthesis in Adult-acquired Flatfoot: Classification of the Postoperative Rehabilitation Phases [PDF]

, 2012
Massimiliano Polastri, Alessandro Graziani, S Cantagalli   +2 more
openalex   +1 more source

Production of acquired immunodeficiency syndrome-associated retrovirus in human and nonhuman cells transfected with an infectious molecular clone

Journal of Virology, 1986
Akio Adachi, H. Gendelman, Scott Koenig, T. M. Folks, R. Willey, A. B. Rabson, M. A. Martin   +6 more
semanticscholar   +1 more source

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source

Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans. [PDF]

Invest Radiol
Degand L, Abi-Nader C, Bône A, Vetil R, Placido D, Chmura P, Rohé MM, De Masi F, Brunak S.   +8 more
europepmc   +1 more source