A prognostic nomogram based on risk assessment for invasive micropapillary carcinoma of the breast after surgery

Abstract

Invasive micropapillary carcinoma (IMPC) is one of the rare subtypes of breast cancer. A total of 1855 IMPC patients diagnosed after surgery between 2004 and 2014 were identi ed from the Surveillance, Epidemiology and End Results (SEER) database to build a nomogram. Cox regression analysis indicated that age ≥ 62 at diagnosis, negative ER status, and tumor stage were considered adverse independent factors for overall survival (OS), while patients who were married, white or of other races, received chemotherapy or radiotherapy, had a better postoperative prognosis. The nomogram accurately predicted OS with high internal and external validation consistency index (C index) (0.756 and 0.742, respectively). The areas under the receiver operating characteristic (ROC) curves (AUCs) of the training group were 0.787, 0.774 and 0.764 for 3 years, 5 years and 10 years, respectively, while those of the validation group were 0.756, 0.766 and 0.762, respectively. The results of both decision curve analyses (DCA) and calibration curves demonstrated the good performance of the model. This study constructed a novel nomogram for IMPC of the breast patients after surgery, which has good accuracy and consistency in predicting prognosis and has clinical application value.

Construction and validation of a nomogram for predicting the prognosis of patients with lymph node-positive invasive micropapillary carcinoma of the breast: based on SEER database and external validation cohort

“…As far as we know, this is the first study to construct a nomogram integrated clinicopathological characteristics for predicting the prognosis of IMPC patients with LNM. Our model has higher C-index in the training cohort and external validation cohort than the nomogram previously published by Chen et al (11) (training cohort C-index: 0.789 vs 0.756, external validation cohort C-index: 0.788 vs 0.742), and a higher AUC value in the external validation cohort (3-year OS: 0.804 vs 0.766, 5-year OS: 0.767 vs 0.725), indicating that the nomogram has higher accuracy in predicting patient prognosis. In the training cohort and two validation cohorts, the calibration curves also showed a high degree of agreement between predicted and actual observed results, reflecting the reliability of prediction models.…”

“…Given the crucial role of powerful prognostic prediction tools in determining appropriate treatment methods to improve survival, it is necessary to discuss and construct predictive models for IMPC patients with positive lymph nodes to improve the accuracy of FIGURE 1 survival prediction. Compared with previous studies (11,12), in order to avoid redundancy or overfitting, our study used LASSO regression to screen for significant factors related to OS and construct a nomogram. In addition, we not only built a network calculator based on the nomogram, but also conducted risk stratification, creating more convenience for clinical practice.…”

A novel nomogram integrated with preablation stimulated thyroglobulin and thyroglobulin/thyroid-stimulating hormone ratio to predict the therapeutic response of intermediate‑ and high‑risk differentiated thyroid cancer patients: a bi-center retrospective study

“…In a variety of tumors, nomograms have been shown to be superior to traditional staging systems, and they can help physicians in the management of clinical care when no rm guidelines are available [12][13][14][15].…”

Nomogram predicting overall prognosis for invasive micropapillary carcinoma of the breast: a SEER-based population study

“…Considering the rarity of this disease, the conduct of clinical trials to evaluate prognostic factors and optimal treatments is difficult. A few studies have discussed the potential pathological predictors of survival for IMPC 5 9–16. However, the discrepancies caused by the limited IMPC cases in the reported prevalence of overall survival (OS) and significant clinicopathological factors were difficult to exclude.…”