These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

169 related articles for article (PubMed ID: 33414079)

  • 1. Nomogram Predicting the Risk of Locoregional Recurrence After Mastectomy for Invasive Micropapillary Carcinoma of the Breast.
    Meng X; Ma H; Yin H; Yin H; Yu L; Liu L; Li T; Wang S; Xu Q
    Clin Breast Cancer; 2021 Aug; 21(4):e368-e376. PubMed ID: 33414079
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A nomogram for predicting locoregional recurrence in primary breast cancer patients who received breast-conserving surgery after neoadjuvant chemotherapy.
    Matsuda N; Hayashi N; Ohde S; Yagata H; Kajiura Y; Yoshida A; Suzuki K; Nakamura S; Tsunoda H; Yamauchi H
    J Surg Oncol; 2014 Jun; 109(8):764-9. PubMed ID: 24647874
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Nomogram for predicting preoperative lymph node involvement in patients with invasive micropapillary carcinoma of breast: a SEER population-based study.
    Ye FG; Xia C; Ma D; Lin PY; Hu X; Shao ZM
    BMC Cancer; 2018 Nov; 18(1):1085. PubMed ID: 30409127
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel nomogram for predicting locoregional recurrence risk in breast cancer patients treated with neoadjuvant chemotherapy and mastectomy.
    Huang Z; Shi M; Wang WH; Shen LF; Tang Y; Rong QL; Zhu L; Huang XB; Tie J; Chen JY; Zhang J; Wu HF; Cheng J; Liu M; Ma CY; Wang SL; Li YX
    Radiother Oncol; 2021 Aug; 161():191-197. PubMed ID: 34119586
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Nomograms for predicting overall survival and cancer-specific survival in patients with invasive micropapillary carcinoma: Based on the SEER database.
    Zhang T; Lai M; Wei Y; Zhu H; Zhu C; Guo Y; Zeng X
    Asian J Surg; 2023 Sep; 46(9):3734-3740. PubMed ID: 36933963
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Construction and Validation of a Nomogram Predicting the Overall Survival Benefit of Unilateral Breast Cancer Patients Undergoing Contralateral Prophylactic Mastectomy.
    Dai L; Yan W; Ren X; Liu D; Chang L; Lin S; Wu H; Kang H; Ma X
    Clin Breast Cancer; 2024 Jun; 24(4):351-362. PubMed ID: 38521702
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nomogram for predicting preoperative regional lymph nodes metastasis in patients with metaplastic breast cancer: a SEER population-based study.
    Zhang M; Wang B; Liu N; Wang H; Zhang J; Wu L; Zhao A; Wang L; Zhao X; Yang J
    BMC Cancer; 2021 May; 21(1):565. PubMed ID: 34001061
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differences in Prognostic Factors and Failure Patterns Between Invasive Micropapillary Carcinoma and Carcinoma With Micropapillary Component Versus Invasive Ductal Carcinoma of the Breast: Retrospective Multicenter Case-Control Study (KROG 13-06).
    Yu JI; Choi DH; Huh SJ; Cho EY; Kim K; Chie EK; Ha SW; Park IA; Ahn SJ; Lee JS; Shin KH; Kwon Y; Kim YB; Suh CO; Koo JS; Kim JH; Jeong BG; Kim IA; Lee JH; Park W
    Clin Breast Cancer; 2015 Oct; 15(5):353-61.e1-2. PubMed ID: 25776197
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A prognostic nomogram based on risk assessment for invasive micropapillary carcinoma of the breast after surgery.
    Chen Y; Yu C; Chen D; Tang Y; Zhu K; Guo R; Huang S; Li Z; Cen L
    Cancer Med; 2023 Apr; 12(7):8050-8062. PubMed ID: 36602294
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nomogram Predicting Locoregional Recurrence to Assist Decision-Making of Postmastectomy Radiation Therapy in Patients With T1-2N1 Breast Cancer.
    Luo C; Zhong X; Deng L; Xie Y; Hu K; Zheng H
    Int J Radiat Oncol Biol Phys; 2019 Mar; 103(4):905-912. PubMed ID: 30419307
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Competing risk nomogram predicting initial loco-regional recurrence in gastric cancer patients after D2 gastrectomy.
    Wang SB; Qi WX; Chen JY; Xu C; Kirova YM; Cao WG; Cai R; Cao L; Yan M; Cai G
    Radiat Oncol; 2019 Jul; 14(1):128. PubMed ID: 31315683
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predictors of locoregional recurrence after neoadjuvant chemotherapy: results from combined analysis of National Surgical Adjuvant Breast and Bowel Project B-18 and B-27.
    Mamounas EP; Anderson SJ; Dignam JJ; Bear HD; Julian TB; Geyer CE; Taghian A; Wickerham DL; Wolmark N
    J Clin Oncol; 2012 Nov; 30(32):3960-6. PubMed ID: 23032615
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nomogram predicting survival as a selection criterion for postmastectomy radiotherapy in patients with T1 to T2 breast cancer with 1 to 3 positive lymph nodes.
    Tang Y; Zhang YJ; Zhang N; Shi M; Wen G; Cheng J; Wang HM; Liu M; Wang XH; Guo QS; Wu HF; Ma CY; Jin J; Liu YP; Song YW; Fang H; Ren H; Wang SL; Li YX
    Cancer; 2020 Aug; 126 Suppl 16():3857-3866. PubMed ID: 32710662
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Are there patients with T1 to T2, lymph node-negative breast cancer who are "high-risk" for locoregional disease recurrence?
    Mamtani A; Patil S; Stempel MM; Morrow M
    Cancer; 2017 Jul; 123(14):2626-2633. PubMed ID: 28334423
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Establishment of a risk scoring system for predicting locoregional recurrence in T1 to T2 node-negative breast cancer patients treated with mastectomy: Implications for postoperative radiotherapy.
    Li JL; Lin XY; Zhuang LJ; He JY; Peng QQ; Dong YP; Wu JX
    Medicine (Baltimore); 2017 Jun; 96(26):e7343. PubMed ID: 28658151
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Validation of a Novel Nomogram for Prediction of Local Relapse after Surgery for Invasive Breast Carcinoma.
    Corso G; Maisonneuve P; Massari G; Invento A; Pravettoni G; De Scalzi A; Intra M; Galimberti V; Morigi C; Lauretta M; Sacchini V; Veronesi P
    Ann Surg Oncol; 2020 Jun; 27(6):1864-1874. PubMed ID: 31965372
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting breast cancer recurrence following breast-conserving therapy: a single-institution analysis consisting of 764 Chinese breast cancer cases.
    Li S; Yu KD; Fan L; Hou YF; Shao ZM
    Ann Surg Oncol; 2011 Sep; 18(9):2492-9. PubMed ID: 21360247
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and validation of nomograms to predict survival in patients with invasive micropapillary carcinoma of the breast.
    Cheng Y; Zhang P; Huang Y; Zhang Z; Tang R; Chi F; Sun JY; He Z
    BMJ Open; 2023 Feb; 13(2):e065312. PubMed ID: 36810178
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Impact of Micropapillary Component Ratio on the Prognosis of Patients With Invasive Micropapillary Breast Carcinoma.
    Kaya C; Uçak R; Bozkurt E; Ömeroğlu S; Kartal K; Yazıcı P; İdiz UO; Mihmanlı M
    J Invest Surg; 2020 Jan; 33(1):31-39. PubMed ID: 29843540
    [No Abstract]   [Full Text] [Related]  

  • 20. Nomogram for Predicting the Overall Survival of Patients With Breast Cancer With Pathologic Nodal Status N3.
    Wang J; Chen L; Nie Y; Wu W; Yao Y
    Clin Breast Cancer; 2020 Dec; 20(6):e778-e785. PubMed ID: 32636150
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.