Results 221 to 230 of about 8,792,412 (290)

Incorporating large language models as clinical decision support in oncology: the Woollie model. [PDF]

NPJ Digit Med
Heydari K, Enichen EJ, Li B, Kvedar JC.
europepmc   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

A single gene mutation predicts response to immune checkpoint blockade in ovarian clear cell carcinoma

Molecular Oncology, EarlyView.
Loss‐of‐function mutations in the scaffold subunit of protein phosphatase 2A (PP2A), PPP2R1A, sensitize ovarian clear cell carcinoma to immune checkpoint blockade (ICB) by enhancing the interferon gamma response and promoting antitumor immune cell infiltration.
Matheus Henrique Dias, René Bernards
wiley   +1 more source

SOX9: an important factor in regulating breast cancer. [PDF]

Eur J Med Res
Wang Y, Chu J, Huang L, Qian M.
europepmc   +1 more source

Malignancy in Idiopathic Inflammatory Myopathies: Recent Insights. [PDF]

Clin Rev Allergy Immunol
Wu H, Li X, Xu H, Li Z, Feng F, Zhang J, Xu Z, Ni H, Guo Y, Li Y.   +9 more
europepmc   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Predicting cancer risk using machine learning on lifestyle and genetic data. [PDF]

Sci Rep
Ahmed MA, AbdelMoety A, Soliman AMA.
europepmc   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source