Caixian Yu

ORCID: 0000-0002-4224-7795
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About
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Research Areas
  • Breast Cancer Treatment Studies
  • Breast Lesions and Carcinomas
  • Preterm Birth and Chorioamnionitis
  • Pregnancy and preeclampsia studies
  • Neuroendocrine Tumor Research Advances
  • Neuroblastoma Research and Treatments
  • Cancer Risks and Factors
  • Reproductive System and Pregnancy
  • Breast Implant and Reconstruction
  • Cancer and Skin Lesions
  • Lung Cancer Research Studies

Kunming Medical University
2021-2024

Kunming University of Science and Technology
2023

First People's Hospital of Yunnan Province
2023

Abstract Purpose Invasive micropapillary carcinoma (IMPC) is one of the rare subtypes breast cancer. This study aimed to explore a predictive nomogram model for IMPC prognosis. Methods A total 1855 patients diagnosed after surgery between 2004 and 2014 were identified from Surveillance, Epidemiology End Results (SEER) database build validate nomogram. was created based on univariate multivariate Cox proportional hazards regression analysis. Receiver operating characteristic (ROC) curves used...

10.1002/cam4.5595 article EN cc-by Cancer Medicine 2023-01-05

Objective Neuroendocrine carcinoma of the cervix (NECC) is extremely rare in clinical practice. This study aimed to methodologically analyze clinicopathological factors associated with NECC patients and develop a validated survival prediction model. Methods A total 535 diagnosed between 2004 2016 were identified from Surveillance, Epidemiology End Results (SEER) database, while 122 at Yunnan Cancer Hospital (YCH) 2006 2019 also recruited. Patients SEER database divided into training cohort...

10.1371/journal.pone.0296446 article EN cc-by PLoS ONE 2024-01-05

Abstract Background: Invasive micropapillary carcinoma (IMPC) is one of the rare subtypes breast cancer. This study aimed to explore a novel predictive nomogram model for IMPC prognosis. Methods: A total 1855 patients diagnosed after surgery between 2004 and 2014 were identified from Surveillance, Epidemiology End Results (SEER) database build validate nomograms. All included divided into training group (n=1300) validation (n=555). was created based on univariate multivariate Cox...

10.21203/rs.3.rs-960394/v1 preprint EN cc-by Research Square (Research Square) 2021-10-19

Abstract Background Preterm birth remains a significant contributor to infant morbidity and mortality rates worldwide. It is the primary cause of neonatal deaths second only pneumonia in causing children under age five. The main objective this study was identify potential genes associated with preterm birth, aim gaining insight into its underlying mechanisms. Methods We retrieved mRNA dataset GSE960863 from Gene Expression Omnibus (GEO) database, subsequently identified differentially...

10.21203/rs.3.rs-3371151/v1 preprint EN cc-by Research Square (Research Square) 2023-10-12

Abstract Invasive micropapillary carcinoma (IMPC) is one of the rare subtypes breast cancer. A total 1855 IMPC patients diagnosed after surgery between 2004 and 2014 were identified from Surveillance, Epidemiology End Results (SEER) database to build a nomogram. Cox regression analysis indicated that age ≥ 62 at diagnosis, negative ER status, tumor stage considered adverse independent factors for overall survival (OS), while who married, white or other races, received chemotherapy...

10.21203/rs.3.rs-960394/v2 preprint EN cc-by Research Square (Research Square) 2022-03-08
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