Results 121 to 130 of about 402,938 (369)

Incidence and mortality rates of selected infection-related cancers in Puerto Rico and in the United States [PDF]

open access: yes, 2010
Background In 2002, 17.8% of the global cancer burden was attributable to infections. This study assessed the age-standardized incidence and mortality rates of stomach, liver, and cervical cancer in Puerto Rico (PR) for the period 1992-2003 and compared ...
A Nomura   +58 more
core   +3 more sources

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

open access: yesMolecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin   +14 more
wiley   +1 more source

The XRCC 1 DNA repair gene modifies the environmental risk of stomach cancer: a hospital-based matched case-control study

open access: yesBMC Cancer, 2017
Background Previous studies have found that polymorphisms of the DNA repair gene X-ray repair cross-complementing group 1(XRCC1) and environmental factors are both associated with an increased risk of stomach cancer, but no study has reported on the ...
Nuntiput Putthanachote   +8 more
doaj   +1 more source

Detecting small polyps using a Dynamic SSD-GAN [PDF]

open access: yesarXiv, 2020
Endoscopic examinations are used to inspect the throat, stomach and bowel for polyps which could develop into cancer. Machine learning systems can be trained to process colonoscopy images and detect polyps. However, these systems tend to perform poorly on objects which appear visually small in the images. It is shown here that combining the single-shot
arxiv  

Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge [PDF]

open access: yesarXiv, 2023
Automatic segmentation of lesions in FDG-18 Whole Body (WB) PET/CT scans using deep learning models is instrumental for determining treatment response, optimizing dosimetry, and advancing theranostic applications in oncology. However, the presence of organs with elevated radiotracer uptake, such as the liver, spleen, brain, and bladder, often leads to ...
arxiv  

Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance

open access: yesMolecular Oncology, EarlyView.
Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren   +4 more
wiley   +1 more source

Targeting PRAME directly or via EZH2 inhibition overcomes retinoid resistance and represents a novel therapy for keratinocyte carcinoma

open access: yesMolecular Oncology, EarlyView.
The study evaluated the function and therapeutic implications of PRAME in basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). The findings demonstrate that PRAME impairs keratinocyte differentiation pathways. Furthermore, PRAME impairs anticancer response to retinoid compounds in BCC and SCC cells.
Brandon Ramchatesingh   +6 more
wiley   +1 more source

Metastatic tumors to the stomach: clinical and endoscopic features. [PDF]

open access: yes, 2006
AIM: To evaluate the clinical and endoscopic patterns in a large series of patients with metastatic tumors in the stomach. METHODS: A total of 64 patients with gastric metastases from solid malignant tumors were retrospectively examined between 1990 and ...
DE PALMA, GIOVANNI DOMENICO   +8 more
core  

A phylogenetic model for understanding the effect of gene duplication on cancer progression [PDF]

open access: yes, 2013
As biotechnology advances rapidly, a tremendous amount of cancer genetic data has become available, providing an unprecedented opportunity for understanding the genetic mechanisms of cancer.
Chang, Zheng   +8 more
core   +3 more sources

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