191 related articles for article (PubMed ID: 37781377)
1. A nomogram based on collagen signature for predicting the immunoscore in colorectal cancer.
Jiang W; Yu X; Dong X; Long C; Chen D; Cheng J; Yan B; Xu S; Lin Z; Chen G; Zhuo S; Yan J
Front Immunol; 2023; 14():1269700. PubMed ID: 37781377
[TBL] [Abstract][Full Text] [Related]
2. Association of the pathomics-collagen signature with lymph node metastasis in colorectal cancer: a retrospective multicenter study.
Jiang W; Wang H; Dong X; Zhao Y; Long C; Chen D; Yan B; Cheng J; Lin Z; Zhuo S; Wang H; Yan J
J Transl Med; 2024 Jan; 22(1):103. PubMed ID: 38273371
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a collagen signature-based nomogram for preoperatively predicting lymph node metastasis and prognosis in colorectal cancer.
Fu M; Chen D; Luo F; Wang G; Xu S; Wang Y; Sun C; Xu X; Li A; Zhuo S; Liu S; Yan J
Ann Transl Med; 2021 Apr; 9(8):651. PubMed ID: 33987349
[TBL] [Abstract][Full Text] [Related]
4. Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients.
Wang R; Dai W; Gong J; Huang M; Hu T; Li H; Lin K; Tan C; Hu H; Tong T; Cai G
J Hematol Oncol; 2022 Jan; 15(1):11. PubMed ID: 35073937
[TBL] [Abstract][Full Text] [Related]
5. An immunoscore nomogram for predicting survival in patients with oesophageal cancer.
Li G; Song Q; Cai A; Wei Z; Zhang R; Yi D; Chen J; Li F; Zhang Y; Liu L; Wu Y; Yi D
Aging (Albany NY); 2021 Mar; 13(6):8762-8776. PubMed ID: 33714960
[TBL] [Abstract][Full Text] [Related]
6. Clinicopathological Features Combined With Immune Infiltration Could Well Distinguish Outcomes in Stage II and Stage III Colorectal Cancer: A Retrospective Study.
Ren J; Xu L; Zhou S; Ouyang J; You W; Sheng N; Yan L; Peng D; Xie L; Wang Z
Front Oncol; 2021; 11():776997. PubMed ID: 34926285
[TBL] [Abstract][Full Text] [Related]
7. A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.
Li H; Lin D; Yu Z; Li H; Zhao S; Hainisayimu T; Liu L; Wang K
Front Immunol; 2022; 13():947802. PubMed ID: 36405735
[TBL] [Abstract][Full Text] [Related]
8. Association of the collagen signature with pathological complete response in rectal cancer patients.
Jiang W; Wang S; Wan J; Zheng J; Dong X; Liu Z; Wang G; Xu S; Xiao W; Gao Y; Zhuo S; Yan J
Cancer Sci; 2022 Jul; 113(7):2409-2424. PubMed ID: 35485874
[TBL] [Abstract][Full Text] [Related]
9. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
Huang YQ; Liang CH; He L; Tian J; Liang CS; Chen X; Ma ZL; Liu ZY
J Clin Oncol; 2016 Jun; 34(18):2157-64. PubMed ID: 27138577
[TBL] [Abstract][Full Text] [Related]
10. Association of Tumor-Associated Collagen Signature With Prognosis and Adjuvant Chemotherapy Benefits in Patients With Gastric Cancer.
Chen D; Chen H; Chi L; Fu M; Wang G; Wu Z; Xu S; Sun C; Xu X; Lin L; Cheng J; Jiang W; Dong X; Lu J; Zheng J; Chen G; Li G; Zhuo S; Yan J
JAMA Netw Open; 2021 Nov; 4(11):e2136388. PubMed ID: 34846524
[TBL] [Abstract][Full Text] [Related]
11. Nomogram for predicting overall survival in stage II-III colorectal cancer.
Liu J; Huang X; Yang W; Li C; Li Z; Zhang C; Chen S; Wu G; Xie W; Wei C; Tian C; Huang L; Jeen F; Mo X; Tang W
Cancer Med; 2020 Apr; 9(7):2363-2371. PubMed ID: 32027098
[TBL] [Abstract][Full Text] [Related]
12. Significance of tumor-infiltrating immunocytes for predicting prognosis of hepatitis B virus-related hepatocellular carcinoma.
Chen QF; Li W; Wu PH; Shen LJ; Huang ZL
World J Gastroenterol; 2019 Sep; 25(35):5266-5282. PubMed ID: 31558872
[TBL] [Abstract][Full Text] [Related]
13. A novel prognostic immunoscore based on The Cancer Genome Atlas to predict overall survival in colorectal cancer patients.
Tang Z; Wu Y; Sun D; Xue X; Qin L
Biosci Rep; 2021 Oct; 41(10):. PubMed ID: 34608935
[TBL] [Abstract][Full Text] [Related]
14. An immune, stroma, and epithelial-mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II-III colorectal cancer.
Cai D; Wang W; Zhong ME; Fan D; Liu X; Li CH; Huang ZP; Zhu Q; Lv MY; Hu C; Duan X; Wu XJ; Gao F
Cancer Med; 2023 Apr; 12(7):8924-8936. PubMed ID: 36629124
[TBL] [Abstract][Full Text] [Related]
15. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
[TBL] [Abstract][Full Text] [Related]
16. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
[TBL] [Abstract][Full Text] [Related]
17. Nomograms integrating the collagen signature and systemic immune-inflammation index for predicting prognosis in rectal cancer patients.
Yu X; Jiang W; Dong X; Yan B; Xu S; Lin Z; Zhuo S; Yan J
BJS Open; 2024 Mar; 8(2):. PubMed ID: 38513282
[TBL] [Abstract][Full Text] [Related]
18. CT-Based Radiomics Signature: A Potential Biomarker for Predicting Postoperative Recurrence Risk in Stage II Colorectal Cancer.
Fan S; Cui X; Liu C; Li X; Zheng L; Song Q; Qi J; Ma W; Ye Z
Front Oncol; 2021; 11():644933. PubMed ID: 33816297
[No Abstract] [Full Text] [Related]
19. Development and Validation of a Nomogram for Preoperative Prediction of Perineural Invasion in Colorectal Cancer.
Huang X; Liu J; Wu G; Chen S; Pc FJ; Xie W; Tang W
Med Sci Monit; 2019 Mar; 25():1709-1717. PubMed ID: 30837449
[TBL] [Abstract][Full Text] [Related]
20. A clinical-radiomics nomogram for the preoperative prediction of lung metastasis in colorectal cancer patients with indeterminate pulmonary nodules.
Hu T; Wang S; Huang L; Wang J; Shi D; Li Y; Tong T; Peng W
Eur Radiol; 2019 Jan; 29(1):439-449. PubMed ID: 29948074
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
