Abstract
BackgroundThe prognositc factors in patient with invasive cribriform carcinoma (ICC) of breast is still remain controversal. The study aims to establish a nomogram to predict the survival outcomes in patients with ICC based on the Surveillance, Epidemiology and End Results (SEER) database.MethodsWe retrieved SEER database for clinical data about patients including ICC and infiltrating ductal carcinoma (IDC) from 2004 to 2015. Kaplan-Meier survival was used to compare the difference survival outcomes between ICC and IDC. ICC patients were randomly allocated to training cohort and validation cohort. A nomogram was built to predict individual patient’s 3-year and 5-year survival status for ICC. The established TMN model and the newly established nomogram was further evaluated by the concordance index (C-index) and the decision curve analysis (DCA).ResultsComparing the baseline clinical data between IDC and ICC, a significant of smaller tumor mass, less infiltrated lymph nodes, lower metastases rate, better tumor differentiation degree, higher proportion of estrogen receptor (ER) and progesterone receptor (PR) positive and lower rate of chemotherapy and radiotherapy was found in ICC. Age at diagnosis, marriage status, tumor location, T stage, M stage, ER status, surgery were independent significant prognostic factors for the overall survival (OS). A significantly higher C-index was found in nomogram compared with established TNM model in validation cohort.ConclusionsThe prognosis of ICC patients is better than that of IDC patients. The nomogram is recommended for future patient with ICC to survival analysis.
Highlights
The prognositc factors in patient with invasive cribriform carcinoma (ICC) of breast is still remain controversal
ICC patients had a greater proportion of breast cancer on the left (p < 0.05)
There was no statistical difference between the proportion of ICC and infiltrating ductal carcinoma (IDC) receiving surgery (97.20% vs. 95.90%, p = 0.07) (Table 1)
Summary
The prognositc factors in patient with invasive cribriform carcinoma (ICC) of breast is still remain controversal. The study aims to establish a nomogram to predict the survival outcomes in patients with ICC based on the Surveillance, Epidemiology and End Results (SEER) database. Breast cancer includes many pathological subtypes, among them ICC is a rare but unique one, characterized by mild to moderate cytological atypia nest surround by a dense fibrous stroma, with an incidence rate of less than 4% [1]. Distinct from breast cancer, ICC is considered to have higher survival rate, so in clinical practice, its uniqueness should be considered [2]. We aim to build a reliable and high accuracy nomogram to predict individual ICC patient’s survival outcome based on clinical and pathological data from SEER database
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