Results 131 to 140 of about 1,762,979 (356)

BMP antagonist CHRDL2 enhances the cancer stem‐cell phenotype and increases chemotherapy resistance in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Overexpression of CHRDL2 in colon cancer cells makes them more stem‐like and resistant to chemo‐ and radiotherapy. CHRDL2‐high cells have upregulation of the WNT pathway, genes involved in the DNA damage response (DDR) pathway and epithelial‐to‐mesenchymal transition (EMT). This leads to quicker repair of damaged DNA and more cell migration.
Eloise Clarkson, Annabelle Lewis
wiley   +1 more source

Consumers’ Perceived Value of Pork Meat: A Segmentation on Intrinsic and Extrinsic Cues

open access: yesFoods
This study aimed to determine the intrinsic and extrinsic product cues affecting consumers’ perceived value of pork meat. A segmentation study of seventeen intrinsic (n = 103) and twenty-six extrinsic cues (n = 114) on a South African sample was ...
Diewald Jordaan   +2 more
doaj   +1 more source

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

open access: yesNature Methods, 2020
Fabian Isensee   +4 more
semanticscholar   +1 more source

Chimeric diphtheria toxin–CCL8 cytotoxic peptide for breast cancer management

open access: yesMolecular Oncology, EarlyView.
DTCCL8 is a recombinant fusion toxin that targets cancer cells expressing chemokine receptors. By combining diphtheria toxin with CCL8, DTCCL8 binds to multiple receptors on tumor cells and induces selective cytotoxicity. This strategy enables receptor‐mediated targeting of cancer and may support the development of chemokine‐guided therapeutics ...
Bernardo Chavez   +5 more
wiley   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Single‐cell transcriptomics redefines focal neuroendocrine differentiation as a distinct prostate cancer pathology

open access: yesMolecular Oncology, EarlyView.
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban   +12 more
wiley   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy