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Cancer: Squamous Cell Carcinoma
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Total 204 results found since Jan 2013.
miR-200b-mediated reversion of a spectrum of epithelial to mesenchymal transition states in recessive dystrophic epidermolysis bullosa squamous cell carcinomas
CONCLUSIONS: In summary, RDEB-SCCs exist in different EMT states and the level of miR-200b is indicative of how far an RDEB-SCC has gone down the EMT path. Moreover, reintroduction of miR-200b significantly reduced mesenchymal features.PMID:37681509 | DOI:10.1093/bjd/ljad335
Source: The British Journal of Dermatology - September 8, 2023 Category: Dermatology Authors: Julia Illmer Roland Zauner Josefina Pi ñón Hofbauer Monika Wimmer Stefanie Gruner Michael Ablinger Johannes Bischof Sonja Dorfer Stefan Hainzl Vanessa Tober Shir Bergson Ofer Sarig Liat Samuelov Christina Guttmann-Gruber Ruby Shalom-Feuerstein Eli Sprec Source Type: research
Comprehensive profiling identifies tumour and immune-microenvironmental differences in clinical subsets of cutaneous squamous cell carcinoma
CONCLUSIONS: In summary, we identify tumour and host immune factors that contribute to the disparate clinical behaviour of CSCC with broad translational application including prognostication, treatment prediction to current therapies and identifying novel anti-cancer therapy approaches in CSCC.PMID:37470440 | DOI:10.1093/bjd/ljad250
Source: The British Journal of Dermatology - July 20, 2023 Category: Dermatology Authors: Alesha A Thai Richard J Young Mathias Bressel Christopher Angel Lachlan McDowell Albert Tiong Nicholas W Bucknell Andrew Fellowes Huiling Xu Anna Trigos Danny Rischin Benjamin J Solomon Source Type: research
Prediction of postoperative complications after oesophagectomy using machine-learning methods
CONCLUSION: The neural network scored the highest accuracies compared with all of the other models for the prediction of postoperative complications after oesophagectomy.PMID:37343072 | DOI:10.1093/bjs/znad181
Source: The British Journal of Surgery - June 21, 2023 Category: Surgery Authors: Jin-On Jung Juan I Pisula Kasia Bozek Felix Popp Hans F Fuchs Wolfgang Schr öder Christiane J Bruns Thomas Schmidt Source Type: research
T1 mapping and multimodel diffusion-weighted imaging in the assessment of cervical cancer: a preliminary study
CONCLUSION: Both T1 mapping and multimodel DWI can effectively differentiate cervical cancer from a normal cervix and cervical adenocarcinoma from SCC. Furthermore, multimodel DWI may provide quantitative metrics for non-invasively predicting histological grade and LVSI status in SCC patients.ADVANCES IN KNOWLEDGE: Combined use of T1 mapping and multimodel DWI may provide more comprehensive information for non-invasive pre-operative evaluation of cervical cancer.PMID:37183908 | DOI:10.1259/bjr.20220952
Source: The British Journal of Radiology - May 15, 2023 Category: Radiology Authors: Shujian Li Jie Liu Wenhua Zhang Huifang Lu Weijian Wang Liangjie Lin Yong Zhang Jingliang Cheng Source Type: research
The association between periodontal disease and oral squamous cell carcinoma: a systematic review and meta-analysis
To investigate the relationship between periodontal disease (PD) and oral squamous cell carcinoma (OSCC). The systematic search was performed for the records published up to August 2022. Odds ratios (OR) and relative risk (RR) with 95% confidence intervals (95% CI) were estimated to evaluate this relationship. Then, sensitivity analysis was performed accordingly. Begg ’s test and Egger’s test were used to detect publication bias. Out of 970 papers from several databases, 13 studies concerning the association between PD and OSCC were included.
Source: The British Journal of Oral and Maxillofacial Surgery - May 15, 2023 Category: ENT & OMF Authors: Rui Li, Mengjie Hou, Liying Yu, Wen Luo, Ruihan Liu, Hongyan Wang Tags: Systematic review Source Type: research
Novel radiomic features versus deep learning: differentiating brain metastases from pathological lung cancer types in small datasets
CONCLUSION: The results suggest that the proposed radiomics-based algorithm is a helpful diagnostic assistant to improve decision-making for treating patients with brain metastases in small datasets.ADVANCES IN KNOWLEDGE: Firstly, the proposed method of this study extracts novel features from transformations of the original images, such as wavelet and Laplacian of Gaussian filter for the first time in literature. Secondly, this is the first study that investigates the classification performance of the shallow and deep learning approaches to identify subtypes of lung cancer.PMID:37129296 | DOI:10.1259/bjr.20220841
Source: The British Journal of Radiology - May 2, 2023 Category: Radiology Authors: G ökalp Tulum Source Type: research
