Results 231 to 240 of about 31,723,480 (301)

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

Molecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau, Daniel Pincher, Clifford Young, Nicholas Chappell, Noor A. Lokman, Parul Mittal, Leigh Donnellan, Martin K. Oehler, Doug A. Brooks, Peter Hoffmann   +9 more
wiley   +1 more source

Alzheimer's disease prediction using deep learning and XAI based interpretable feature selection from blood gene expression data. [PDF]

Sci Rep
Hariharan J, Jothi R.
europepmc   +1 more source

Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up

Molecular Oncology, EarlyView.
This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani, Laura Mariën, Caro De Weerdt, Sanne Wouters, Laure‐Anne Teuwen, Hans Prenen, Katleen Janssens, Timon Vandamme   +7 more
wiley   +1 more source

Optimizing bioinformatic workflows to extract clinically usable gene expression data from targeted tumor RNA sequencing panels: comparison with total RNA-seq in cancer samples. [PDF]

Bioinform Adv
Pan X, Patton A, Chang YS, Stevens R, Mohamed N, Hunt M, Chappell D, Hu Y, Miller C, Zhao W, Avenarius M, Jones D.   +11 more
europepmc   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source

CoRTE: a web-service for constructing temporal networks from genotype-tissue expression data. [PDF]

Bioinform Adv
Cinaglia P, Cannataro M.
europepmc   +1 more source

Vascular normalization confers an endothelial immune suppressive gene expression profile

Molecular Oncology, EarlyView.
We compare the immunoregulatory gene expression profiles of healthy endothelial cells or endothelial cells from tumors having a normalized endothelium (low leakage) with that of wild‐type tumors (high leakage) and observe that the wild‐type tumor endothelium exhibits immunostimulatory properties.
Liqun He, Michael Welsh
wiley   +1 more source

Temporal multiomics gene expression data across human embryonic stem cell-derived polyhormonal cell differentiation. [PDF]

Sci Data
Keskin A, Shayya HJ, Patel A, Sirabella D, Corneo B, Jovanovic M.   +5 more
europepmc   +1 more source

Overcoming platinum resistance by the disulfiram metabolite CuET in novel preclinical models of human carcinomas

Molecular Oncology, EarlyView.
Cisplatin‐resistant cancer cells survive DNA‐damaging platinum‐based treatment yet remain sensitive to CuET‐induced proteotoxic stress. The distinct mechanism of action allows CuET to overcome and eliminate cisplatin‐resistant tumour cells, unless highly expressed metallothioneins (MTs) interfere with CuET, thereby highlighting MT levels as candidate ...
Stefanos Arampatzis, Tereza Buchtová, Jirina Bartkova, Marie Lund Bay, Christoffer Lynge Halvorsen, Zuzana Machacova, Zdenek Skrott, Martin Mistrik, Ekaterina Dulina, Miguel Andujar‐Sanchez, Estrid Høgdall, Tine Henrichsen Schnack, Claus Høgdall, Berit Jul Mosgaard, Marie Boennelycke, Jacob Brink Laursen, Allan Jensen, Susanne K. Kjær, Tuula Kallunki, Robert Strauss, Jiri Bartek   +20 more
wiley   +1 more source

Predicting the response to immunotherapy from gene expression data in HER2-negative breast cancer. [PDF]

Commun Med (Lond)
La Porta CAM, Garrone O, Merlano M, Zapperi S.   +3 more
europepmc   +1 more source