Results 131 to 140 of about 530,510 (285)

Are the demographics for squamous cell cancer in the head and neck changing in the United Kingdom? [PDF]

open access: yes, 2007
Head and neck squamous cell carcinoma is well known to be more common in men than women. Smoking and alcohol are the key risk factors causing such malignancies and there are several publications which have suggested that the prevalence of these diseases ...
Hassan, MA   +3 more
core  

Real‐Time Evolutionary Landscape of the Bronchial Epithelium and Corresponding Dynamic Immune Cell Alterations in Lung Squamous Cell Carcinogenesis

open access: yesAdvanced Science, EarlyView.
Lung squamous cell carcinoma (LUSC) is often preceded by sequential premalignant lesions with an increasing probability of malignant progression. Using single‐cell RNA sequencing, the dynamic cellular evolution from normal lung to LUSC tissues is delineated; clonal structure of premalignant and malignant epithelium is reveled; the conversion of immune ...
Baohong Luo   +16 more
wiley   +1 more source

Squamous cell carcinoma associated with tall cell variant of papillary carcinoma of the thyroid

open access: yesIndian Journal of Pathology and Microbiology, 2010
We report the simultaneous occurrence of the tall cell variant of papillary carcinoma and squamous cell carcinoma in the thyroid gland. Histology and immunohistochemical findings are discussed and it seems that the malignant squamous component was ...
Ashraf M   +3 more
doaj  

Histopathological Diagnostic Discordance between Punch Biopsies and Final Diagnostic Excisions of Cutaneous Squamous Cell Carcinoma: Analysis of 737 Cases

open access: yesActa Dermato-Venereologica
The recommended treatment for cutaneous squamous cell carcinoma is surgical excision. An initial punch biopsy is often performed as an aid to diagnosis.
Katherine Hopkins   +5 more
doaj   +1 more source

CircTP53/USP10/p53 signaling Axis as a Novel Regulator of Progression and Prognosis of Head and Neck Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
The study identifies a novel circular RNA derived from the TP53 gene (circTP53), which is upregulated in HNSCC and correlates with poor patient prognosis. It demonstrates that circTP53 promotes HNSCC progression by interacting with USP10, stabilizing both proteins, enhancing deubiquitination of p53, and thereby influencing tumor growth, with its ...
Yin Wang   +11 more
wiley   +1 more source

Expression of long non-coding RNA SFTA1P and its effect on biological functions in lung squamous cell carcinoma

open access: yes陆军军医大学学报
Objective To investigate the expression of long non-coding RNA (lncRNA), surfactant associated 1 pseudogene (SFTA1P) in lung squamous carcinoma and its effect on the biological functions of SFTA1P in lung squamous carcinoma cell lines.
WAN Weiping, XIE Weijia, XIA Tingting
doaj   +1 more source

Endoscopic screening for precancerous lesions of the esophagus in a high risk area in northern Iran [PDF]

open access: yes, 2014
Background: Esophageal squamous cell carcinoma (ESCC) is a major health problem in many developing countries, including Iran. ESCC has a very poor prognosis, largely due to late diagnosis.
Abnet, C.   +14 more
core  

MTFR2‐Mediated Fission Drives Fatty Acid and Mitochondrial Co‐Transfer from Hepatic Stellate Cells to Tumor Cells Fueling Oncogenesis

open access: yesAdvanced Science, EarlyView.
In the tumor margin of hepatocellular carcinoma (HCC), activated hepatic stellate cells upregulate MTFR2, initiating inhibiting DRP1 degradation and mitochondrial fission. This enhances mitochondrial availability and facilitates FAs synthesis via ACC1. Additionally, fission promotes RAC1‐mediated cytoskeletal remodeling and Miro1‐mediated mitochondrial
La Zhang   +9 more
wiley   +1 more source

DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals

open access: yesAdvanced Science, EarlyView.
DeepCCDS leverages prior knowledge and self‐supervised learning to model cancer driver signals for drug sensitivity prediction. It captures complex regulatory patterns enabling more biologically informed representations. The framework outperforms existing methods across datasets, offering improved accuracy and interpretability.
Jiashuo Wu   +10 more
wiley   +1 more source

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