186 related articles for article (PubMed ID: 33710816)
1. A nomogram-based immune-serum scoring system predicts overall survival in patients with lung adenocarcinoma.
Huang Q; Qu T; Qi L; Liu C; Guo Y; Guo Q; Li G; Wang Y; Zhang W; Zhao W; Ren D; Sun L; Wang S; Meng B; Sun B; Zhang B; Ma W; Cao W
Cancer Biol Med; 2021 Mar; 18(2):517-29. PubMed ID: 33710816
[TBL] [Abstract][Full Text] [Related]
2. A nomogram-based immunoprofile predicts clinical outcomes for stage II and III human colorectal cancer.
Wang L; Chang N; Wu L; Li J; Zhang L; Chen Y; Zhou Z; Hao J; Wang Q; Jiao S
Mol Clin Oncol; 2021 Dec; 15(6):257. PubMed ID: 34712487
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a nomogram for predicting overall survival in patients with stage III-N2 lung adenocarcinoma based on the SEER database.
Zhang S; Xiao X; Qin X; Xia H
Transl Cancer Res; 2023 Oct; 12(10):2742-2753. PubMed ID: 37969392
[TBL] [Abstract][Full Text] [Related]
4. Construction and validation of a novel prognostic nomogram for predicting overall survival in lung adenocarcinoma patients with different patterns of metastasis.
Xiong Y; Gu F; Cui J; Liu Y; Sun M; Gu X; Zhong L; Zhang K; Liu L
J Cancer Res Clin Oncol; 2023 Nov; 149(16):15039-15053. PubMed ID: 37612389
[TBL] [Abstract][Full Text] [Related]
5. Gender-specific nomogram models to predict the prognosis of male and female lung adenocarcinoma patients: a population-based analysis.
Wen H; Lin X; Sun D
Ann Transl Med; 2021 Nov; 9(22):1654. PubMed ID: 34988163
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A new method for predicting survival in stage I non-small cell lung cancer patients: nomogram based on macrophage immunoscore, TNM stage and lymphocyte-to-monocyte ratio.
Gao J; Ren Y; Guo H; Mao R; Xie H; Su H; She Y; Deng J; Yang M; Han B; Zhang Y; Li J; Xie D; Chen C
Ann Transl Med; 2020 Apr; 8(7):470. PubMed ID: 32395514
[TBL] [Abstract][Full Text] [Related]
8. Identification of a methylomics-associated nomogram for predicting overall survival of stage I-II lung adenocarcinoma.
Wang H; Wei C; Pan P; Yuan F; Cheng J
Sci Rep; 2021 May; 11(1):9938. PubMed ID: 33976305
[TBL] [Abstract][Full Text] [Related]
9. Combining Immunoscore with Clinicopathologic Features in Cholangiocarcinoma: An Influential Prognostic Nomogram.
Wu ZY; Shen W; Yue JQ; Yao WY; Liu SL; Jin YP; Dong P; Ma F; Wu XS; Gong W
Onco Targets Ther; 2020; 13():11359-11376. PubMed ID: 33192071
[TBL] [Abstract][Full Text] [Related]
10. A nomogram-based immunoprofile predicts overall survival for previously untreated patients with esophageal squamous cell carcinoma after esophagectomy.
Duan J; Xie Y; Qu L; Wang L; Zhou S; Wang Y; Fan Z; Yang S; Jiao S
J Immunother Cancer; 2018 Oct; 6(1):100. PubMed ID: 30285868
[TBL] [Abstract][Full Text] [Related]
11. Personalizing prognostic prediction in early-onset Colorectal Cancer.
Liu J; Liu Z; Li J; Tian S; Dong W
J Cancer; 2020; 11(22):6727-6736. PubMed ID: 33046995
[TBL] [Abstract][Full Text] [Related]
12. Development and Validation of a Prognostic Model to Predict Overall Survival for Lung Adenocarcinoma: A Population-Based Study From the SEER Database and the Chinese Multicenter Lung Cancer Database.
Wang Z; Hu F; Chang R; Yu X; Xu C; Liu Y; Wang R; Chen H; Liu S; Xia D; Chen Y; Ge X; Zhou T; Zhang S; Pang H; Fang X; Zhang Y; Li J; Hu K; Cai Y
Technol Cancer Res Treat; 2022; 21():15330338221133222. PubMed ID: 36412085
[No Abstract] [Full Text] [Related]
13. Blood parameters score predicts long-term outcomes in stage II-III gastric cancer patients.
Lin JX; Tang YH; Wang JB; Lu J; Chen QY; Cao LL; Lin M; Tu RH; Huang CM; Li P; Zheng CH; Xie JW
World J Gastroenterol; 2019 Nov; 25(41):6258-6272. PubMed ID: 31749596
[TBL] [Abstract][Full Text] [Related]
14. A novel transcriptomic signature associated with lymphovascular invasion predicts clinical outcomes, tumor microenvironment, and therapeutic response in lung adenocarcinoma.
Huang X; Feng Y; Li Y; Ding H; Huang X; Chen C; Yu Z; Zhang J; Xu X; Ma D; Yu S; Chen C
Int Immunopharmacol; 2024 Jan; 127():111286. PubMed ID: 38064818
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of a prognostic nomogram for breast cancer patients who underwent chemoradiotherapy and surgery: a retrospective cohort study based on the SEER database and two Chinese cohorts.
Wang H; Xia GF; Zhang ZR; Luo X; Zhu JY; Wang HK
Am J Cancer Res; 2023; 13(11):5065-5081. PubMed ID: 38058820
[TBL] [Abstract][Full Text] [Related]
16. Radiomics nomogram for prediction disease-free survival and adjuvant chemotherapy benefits in patients with resected stage I lung adenocarcinoma.
Xie D; Wang TT; Huang SJ; Deng JJ; Ren YJ; Yang Y; Wu JQ; Zhang L; Fei K; Sun XW; She YL; Chen C
Transl Lung Cancer Res; 2020 Aug; 9(4):1112-1123. PubMed ID: 32953490
[TBL] [Abstract][Full Text] [Related]
17. Development and external validation of a radiomics combined with clinical nomogram for preoperative prediction prognosis of resectable pancreatic ductal adenocarcinoma patients.
Wang F; Zhao Y; Xu J; Shao S; Yu D
Front Oncol; 2022; 12():1037672. PubMed ID: 36518321
[TBL] [Abstract][Full Text] [Related]
18. A Genomic-Clinicopathologic Nomogram Predicts Survival for Patients with Laryngeal Squamous Cell Carcinoma.
Cui J; Wen Q; Tan X; Chen Z; Liu G
Dis Markers; 2019; 2019():5980567. PubMed ID: 31827637
[TBL] [Abstract][Full Text] [Related]
19. Combination of tumor mutation burden and immune infiltrates for the prognosis of lung adenocarcinoma.
Zhao Z; He B; Cai Q; Zhang P; Peng X; Zhang Y; Xie H; Wang X
Int Immunopharmacol; 2021 Sep; 98():107807. PubMed ID: 34175739
[TBL] [Abstract][Full Text] [Related]
20. Construction and validation of a nomogram model for predicting the overall survival of colorectal cancer patients.
Peiyuan G; Xuhua H; Ganlin G; Xu Y; Zining L; Jiachao H; Bin Y; Guiying W
BMC Surg; 2023 Jun; 23(1):182. PubMed ID: 37386397
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]