Results 151 to 160 of about 9,409,817 (298)

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Merger Clusters during Economic Booms [PDF]

Merger activity is intense during economic booms and subdued during recessions. This paper provides a non-financial explanation for this observable pattern.
Albert Banal-Estañol, Paul Heidhues, Rainer Nitsche, Jo Seldeslachts   +3 more
core  

Expert-recommended tasks for hospital librarians during a healthcare system merger or acquisition: an e-Delphi consensus statement. [PDF]

J Med Libr Assoc
Posillico S, Morales J, Herman SW.
europepmc   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Remedy for Now but Prohibit for Tomorrow: The Deterrence Effects of Merger Policy Tools [PDF]

Antitrust policy involves not just the regulation of anti-competitive behavior, but also an important deterrence effect. Neither scholars nor policymakers have fully researched the deterrence effects of merger policy tools, as they have been unable to ...
Pedro Pita Barros, Jo Seldeslachts, Joseph A. Clougherty   +2 more
core  

Mergers and migrations: drivers of population genetic structure in a captive rhesus macaque colony. [PDF]

BMC Genomics
Lyke MM, Bagwell A, Newman D, Galindo S, Church T, Christensen C, Gray SB, Cox LA, Ross CN, Kaushal D, Cheeseman IH, Cole SA.   +11 more
europepmc   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Cross-border merger and domestic welfare [PDF]

We consider the welfare effect of cross-border merger in presence of international R&D competition. Cross-border merger increases domestic welfare if the bargaining power of the foreign firm and the slope of the marginal cost of R&D are sufficiently low.
Arijit Mukherjee
core  

The Chinese Medical Journal and the Chinese Medical Association: Centennial legacy and the institutionalization of a scholarly community. [PDF]

Chin Med J (Engl)
Su J, Zhang D.
europepmc   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source