A real-world, population-based study of the trends for incidence and prognosis in high-grade neuroendocrine tumor of cervix

Competing risk nomogram and risk classification system for evaluating overall and cancer-specific survival in neuroendocrine carcinoma of the cervix: a population-based retrospective study

OBJECTIVE

Neuroendocrine carcinoma of the cervix (NECC) is a rare malignancy with poor clinical prognosis due to limited therapeutic options. This study aimed to establish a risk-stratification score and nomogram models to predict prognosis in NECC patients.

METHODS

Data on individuals diagnosed with NECC between 2000 and 2019 were retrieved from the Surveillance Epidemiology and End Results (SEER) database and then randomly classified into training and validation cohorts (7:3). Univariate and multivariate Cox regression analyses evaluated independent indicators of prognosis. Least absolute shrinkage and selection operator (LASSO) regression analysis further assisted in confirming candidate variables. Based on these factors, cancer-specific survival (CSS) and overall survival (OS) nomograms that predict survival over 1, 3, and 5 years were constructed. The receiver operating characteristic (ROC) curve, the concordance index (C-index), and the calibration curve estimated the precision and discriminability of the competing risk nomogram for both cohorts. Finally, we assessed the clinical value of the nomograms using decision curve analysis (DCA).

RESULTS

Data from 2348 patients were obtained from the SEER database. Age, tumor stage, T stage, N stage, chemotherapy, radiotherapy, and surgery predicted OS. Additionally, histological type was another standalone indicator of CSS prognosis. For predicting CSS, the C-index was 0.751 (95% CI 0.731 ~ 0.770) and 0.740 (95% CI 0.710 ~ 0.770) for the training and validation cohorts, respectively. Furthermore, the C-index in OS prediction was 0.757 (95% CI 0.738 ~ 0.776) and 0.747 (95% CI 0.718 ~ 0.776) for both cohorts. The proposed model had an excellent discriminative ability. Good accuracy and discriminability were also demonstrated using the AUC and calibration curves. Additionally, DCA demonstrated the high clinical potential of the nomograms for CSS and OS prediction. We constructed a corresponding risk classification system using nomogram scores. For the whole cohort, the median CSS times for the low-, moderate-, and high-risk groups were 59.3, 19.5, and 7.4 months, respectively.

CONCLUSION

New competing risk nomograms and a risk classification system were successfully developed to predict the 1-, 3-, and 5-year CSS and OS of NECC patients. The models are internally accurate and reliable and may guide clinicians toward better clinical decisions and the development of personalized treatment plans.

Clinicopathologic characteristics, oncologic outcomes, and prognostic factors in neuroendocrine cervical carcinoma: a Neuroendocrine Cervical Tumor Registry study

OBJECTIVE

To evaluate clinicopathologic features and oncologic outcomes of patients with neuroendocrine cervical carcinoma in an institutional neuroendocrine cervical tumor registry.

METHODS

Retrospective study including patients with neuroendocrine cervical carcinomas diagnosed between 1986 and 2022. Patients were categorized into International Federation of Gynecology and Obstetrics 2018 stage groups: early-stage (IA1-IB2, IIA1); locally advanced (IB3, IIA2-IVA); and advanced (IVB). Clinicopathologic characteristics and oncologic outcomes were evaluated by stage. Survival was compared between patients diagnosed in 1986-2003 and those diagnosed in 2004-2016. Progression-free and overall survival were estimated using the Kaplan-Meier product-limit estimator.

RESULTS

A total of 453 patients was included, 133 (29%) with early-stage, 226 (50%) with locally advanced, and 94 (21%) with advanced disease. Median age was 38 years (range 21-93). Sixty-nine percent (306/453) had pure and 32% (146/453) had mixed histology. The node positivity rate (surgical or radiological detection) was 19% (21/108) for tumors ≤2 cm, 37% (39/105) for tumors >2 to ≤4 cm, and 61% (138/226) for tumors >4 cm (p<0.0001). After primary treatment, rates of complete response were 86% (115/133) for early-stage, 65% (147/226) for locally advanced, and 19% (18/94) for advanced disease (p<0.0001). The recurrence/progression rate was 43% for early-stage, 69% for locally advanced, and 80% for advanced disease (p<0.0001). Five-year progression-free and overall survival rates were 59% (95% CI 50% to 68%) and 71% (95% CI 62% to 80%), respectively, for early-stage, 28% (95% CI 22% to 35%) and 36% (95% CI 29% to 43%), respectively, for locally advanced, and 6% (95% CI 0% to 11%) and 12% (95% CI 5% to 19%), respectively, for advanced disease. For early-stage disease, the 5-year progression-free survival rate was 68% for tumors ≤2 cm and 43% for tumors >2 to ≤4 cm (p=0.0013). Receiving cisplatin/carboplatin plus etoposide (HR=0.33, 95% CI 0.17 to 0.63, p=0.0008) and receiving curative radiotherapy (HR=0.32, 95% CI 0.17 to 0.6, p=0.0004) were positive predictors of survival for patients with advanced disease.

CONCLUSION

Among patients with neuroendocrine cervical carcinomas, overall survival is favorable for patients with early-stage disease. However, most patients present with locally advanced disease, and overall survival remains poor in this subgroup. For patients with advanced disease, receiving cisplatin/carboplatin plus etoposide and curative radiation therapy is associated with improved overall survival.