Oral Squamous Cell Carcinoma
What's New
Last Posted: May 07, 2024
- Survival estimation of oral cancer using fuzzy deep learning.
Rachasak Somyanonthanakul et al. BMC Oral Health 2024 24(1) 519 - Effects of tobacco on the DNA of smokers and non-smokers affected by OSCC: systematic review and meta-analysis.
Schuch Lauren Frenzel et al. Brazilian oral research 2023 37e008 - Intraoperative Assessment of Tumor Margins in Tissue Sections with Hyperspectral Imaging and Machine Learning.
Pertzborn David et al. Cancers 2023 15(1) - Novel Machine Learning Model to Predict Interval of Oral Cancer Recurrence for Surveillance Stratification.
Bourdillon Alexandra T et al. The Laryngoscope 2022 - Automatic classification and detection of oral cancer in photographic images using deep learning algorithms.
Warin Kritsasith et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2021 - Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review.
Alabi Rasheed Omobolaji et al. Artificial intelligence in medicine 2021 115102060 - Development of a machine learning model for the prediction of nodal metastasis in early T classification oral squamous cell carcinoma: A SEER-based population study.
Kwak Min Seob et al. Head & neck 2021 - Revisiting the metallothionein genes polymorphisms and the risk of oral squamous cell carcinoma in a Brazilian population.
Rosa R-R et al. Medicina oral, patologia oral y cirugia bucal 2020 Dec - A Novel RNA-Seq-Based Model for Preoperative Prediction of Lymph Node Metastasis in Oral Squamous Cell Carcinoma.
Qiao Bo et al. BioMed research international 2020 20204252580 - Machine Learning and Treatment Outcome Prediction for Oral Cancer.
Chu Chui Shan et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2020 Aug - Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review.
Mahmood H et al. Oral oncology 2020 Jul 110104885 - Identification and validation of seven prognostic long non-coding RNAs in oral squamous cell carcinoma.
Miao Tingting et al. Oncology letters 2020 Jul 20(1) 939-946 - Identification of an Immune Score-Based Gene Panel with Prognostic Power for Oral Squamous Cell Carcinoma.
Huang Su-Ning et al. Medical science monitor : international medical journal of experimental and clinical research 2020 Jun 26e922854 - Predictive value of genetic variants XRCC1 rs1799782, APEX1 rs1760944, and MUTYH rs3219489 for adjuvant concurrent chemoradiotherapy outcomes in oral squamous cell carcinoma patients.
Senghore Thomas et al. The pharmacogenomics journal 2020 May - Prognostic significance of PD-L2 expression in patients with oral squamous cell carcinoma-A comparison to the PD-L1 expression profile.
Weber Manuel et al. Cancer medicine 2019 8(3) 1124-1134 - A 4-gene signature from histologically normal surgical margins predicts local recurrence in patients with oral carcinoma: clinical validation.
Reis Patricia P et al. Scientific reports 2020 Feb 10(1) 1713 - Oral Cancer: Genetics and the Role of Precision Medicine.
Li Chia-Cheng et al. Surgical oncology clinics of North America 2020 Jan 29(1) 127-144 - Identification of Candidate Biomarkers and Analysis of Prognostic Values in Oral Squamous Cell Carcinoma.
Huang Guang-Zhao et al. Frontiers in oncology 2019 91054 - Translational Genomics and Recent Advances in Oral Squamous Cell Carcinoma.
Yeeng Chai Annie Wai et al. Seminars in cancer biology 2019 Sep - Molecular Diagnostics in Oral Cancer and Oral Potentially Malignant Disorders - A Clinician's Guide.
Yap Tami et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2019 Jul - Recent Trends of Saliva Omics Biomarkers for the Diagnosis and Treatment of Oral Cancer.
Chattopadhyay Indranil et al. Journal of oral biosciences 2019 Mar - Deep learning-based survival prediction of oral cancer patients.
Kim Dong Wook et al. Scientific reports 2019 May 9(1) 6994 - Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma.
Karadaghy Omar A et al. JAMA otolaryngology-- head & neck surgery 2019 May - Biomarkers: paving stones on the road towards the personalized precision medicine for oral squamous cell carcinoma.
Zhong Liang et al. BMC cancer 2018 Sep 18(1) 911 - Genomic and epigenetic signatures associated with survival rate in oral squamous cell carcinoma patients.
Ribeiro Ilda Patrícia et al. Journal of Cancer 2018 9(11) 1885-1895 - Salivary biomarkers and proteomics: future diagnostic and clinical utilities.
Castagnola M et al. Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale 2017 Apr 37(2) 94-101 - Predicting the presence of oral squamous cell carcinoma using commonly dysregulated microRNA in oral swirls.
Yap Tami et al. Cancer prevention research (Philadelphia, Pa.) 2018 May - Oral squamous cell carcinoma
From NCATS Genetic and Rare Diseases Information Center
About Rare Diseases PHGKB
Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
Content Summary
Selected Rare Diseases
- Alpha-1 Antitrypsin Deficiency
- Amyotrophic Lateral Sclerosis
- Brugada Syndrome
- Cerebral Palsy
- Cystic Fibrosis
- Duchenne Muscular Dystrophy
- Eclampsia
- Erythema Multiforme
- Familial Mediterranean Fever
- Fragile X Syndrome
- Gaucher Disease
- Glomerulonephritis
- Graves Disease
- Hemophilia
- Huntington Disease
- Microcephaly
- Myasthenia Gravis
- Phenylketonuria
- Retinitis Pigmentosa
- Severe Combined Immunodeficiency
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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