Terms: = Head and neck cancer AND CCND3, P30281, 896, ENSG00000112576
129 results:
1. Predictive potential of preoperative Naples prognostic score-based nomogram model for the prognosis in surgical resected thoracic esophageal squamous cell carcinoma patients: A retrospective cohort study.
Guo XW; Ji L; Xi XX; Zhao WW; Liu YC; Zhou SB; Ji SJ
Medicine (Baltimore); 2024 May; 103(18):e38038. PubMed ID: 38701277
[TBL] [Abstract] [Full Text] [Related]
2. A combined nomogram based on radiomics and hematology to predict the pathological complete response of neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma.
Yang Y; Yi Y; Wang Z; Li S; Zhang B; Sang Z; Zhang L; Cao Q; Li B
BMC Cancer; 2024 Apr; 24(1):460. PubMed ID: 38609892
[TBL] [Abstract] [Full Text] [Related]
3. SGLT2 inhibition and three urological cancers: Up-to-date results.
Lin L; Ning K; Xiang L; Peng L; Li X
Diabetes Metab Res Rev; 2024 Mar; 40(3):e3797. PubMed ID: 38523292
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4. Surgical Resection Improves Overall Survival in cT4b Major Salivary Gland cancer.
Patel AM; Haleem A; Choudhry HS; Brant JA; Brody RM; Carey RM
Otolaryngol Head Neck Surg; 2024 May; 170(5):1349-1363. PubMed ID: 38426575
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5. Concordance of assessments of four PD-L1 immunohistochemical assays in esophageal squamous cell carcinoma (ESCC).
Wang X; He J; Li J; Wu C; Yue M; Niu S; Jia Y; Jia Z; Cai L; Liu Y
J Cancer Res Clin Oncol; 2024 Jan; 150(2):43. PubMed ID: 38280970
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6. Tumor volume-doubling rate is negatively associated with patient age in papillary thyroid microcarcinomas under active surveillance.
Yamamoto M; Miyauchi A; Ito Y; Fujishima M; Sasaki T; Kudo T
Surgery; 2024 Apr; 175(4):1089-1094. PubMed ID: 38142143
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7. Quantitative evaluation of diffusion-weighted MRI for differentiating benign and malignant thyroid nodules larger than 4 cm.
Zheng T; Xie X; Ni Z; Tang L; Wu PY; Song B
BMC Med Imaging; 2023 Dec; 23(1):212. PubMed ID: 38093189
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8. Effect of dynamic platelet-to-lymphocyte ratio on the prognosis of patients with esophageal squamous cell carcinoma receiving chemoradiotherapy.
He D; Du S; He S; Song H; Pu B; Zhang G; Yang C
Medicine (Baltimore); 2023 Dec; 102(49):e36554. PubMed ID: 38065887
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9. [CD103
Li BW; Ren SQ; Chen SL; Lan TJ; Wu F; Li JS
Zhonghua Kou Qiang Yi Xue Za Zhi; 2023 Dec; 58(12):1257-1264. PubMed ID: 38061868
[No Abstract] [Full Text] [Related]
10. Using machine learning algorithms to predict the prognosis of advanced nasopharyngeal carcinoma after intensity-modulated radiotherapy.
Hu D; Wang Y; Ji G; Liu Y
Curr Probl Cancer; 2024 Feb; 48():101040. PubMed ID: 37979476
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11. Essentially unedited deep-learning-based OARs are suitable for rigorous oropharyngeal and laryngeal cancer treatment planning.
Koo J; Caudell J; Latifi K; Moros EG; Feygelman V
J Appl Clin Med Phys; 2024 Mar; 25(3):e14202. PubMed ID: 37942993
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12. Risk-stratified Distant Metastatic Thyroid cancer with Clinicopathological Factors and BRAF/TERT Promoter Mutations.
Cheng X; Zhou Y; Xu S; Yu H; Wu J; Bao J; Zhang L
Exp Clin Endocrinol Diabetes; 2023 Nov; 131(11):577-582. PubMed ID: 37922948
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13. Endoscopic resection of giant esophageal subepithelial lesions: experience from a large tertiary center.
Xiang AY; Wang KH; Su W; Tan T; Qu YF; Li XQ; Wang Y; Cai MY; Li QL; Zhang YQ; Hu H; Zhou PH
Gastrointest Endosc; 2024 Mar; 99(3):358-370.e11. PubMed ID: 37852331
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14. Random Forest for Predicting Treatment Response to Radioiodine and Thyrotropin Suppression Therapy in Patients With Differentiated Thyroid cancer But Without Structural Disease.
Sa R; Yang T; Zhang Z; Guan F
Oncologist; 2024 Jan; 29(1):e68-e80. PubMed ID: 37669005
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15. [Disease burden and prediction of oral cancer attributable to smoking in China from 1990 to 2019].
Gu JC; Liu Y; Wang XL; Zhang LL; Liu YX
Zhonghua Kou Qiang Yi Xue Za Zhi; 2023 Sep; 58(9):919-925. PubMed ID: 37659850
[No Abstract] [Full Text] [Related]
16. Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma.
Gu B; Meng M; Xu M; Feng DD; Bi L; Kim J; Song S
Eur J Nucl Med Mol Imaging; 2023 Nov; 50(13):3996-4009. PubMed ID: 37596343
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17. The auxiliary diagnosis of thyroid echogenic foci based on a deep learning segmentation model: A two-center study.
Liu Y; Chen C; Wang K; Zhang M; Yan Y; Sui L; Yao J; Zhu X; Wang H; Pan Q; Wang Y; Liang P; Xu D
Eur J Radiol; 2023 Oct; 167():111033. PubMed ID: 37595399
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18. The role of artificial intelligence in the endoscopic diagnosis of esophageal cancer: a systematic review and meta-analysis.
Guidozzi N; Menon N; Chidambaram S; Markar SR
Dis Esophagus; 2023 Nov; 36(12):. PubMed ID: 37480192
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19. Using clinical and radiomic feature-based machine learning models to predict pathological complete response in patients with esophageal squamous cell carcinoma receiving neoadjuvant chemoradiation.
Wang J; Zhu X; Zeng J; Liu C; Shen W; Sun X; Lin Q; Fang J; Chen Q; Ji Y
Eur Radiol; 2023 Dec; 33(12):8554-8563. PubMed ID: 37439939
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20. Oncologic Significance of Therapeutic Delays in Patients With Oral Cavity cancer.
Dayan GS; Bahig H; Johnson-Obaseki S; Eskander A; Hong X; Chandarana S; de Almeida JR; Nichols AC; Hier M; Belzile M; Gaudet M; Dort J; Matthews TW; Hart R; Goldstein DP; Yao CMKL; Hosni A; MacNeil D; Fowler J; Higgins K; Khalil C; Khoury M; Mlynarek AM; Morand G; Sultanem K; Maniakas A; Ayad T; Christopoulos A
JAMA Otolaryngol Head Neck Surg; 2023 Nov; 149(11):961-969. PubMed ID: 37422839
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