Prognostic Factors and Impact of Minimally Invasive Surgery in Early-stage Neuroendocrine Carcinoma of the Cervix

Clinicopathologic characteristics and prognostic factors of patients with surgically treated high-grade neuroendocrine carcinoma of the cervix: A multicenter retrospective study

OBJECTIVE

To evaluate the prognostic factors and survival outcomes of patients with surgically treated high-grade neuroendocrine carcinoma of the cervix (NECC).

METHODS

This multicenter, retrospective study involved 98 cervical cancer patients with stage IA2-IIA2 and IIIC1/2p high-grade NECC. We divided the patients into two groups based on histology: the pure and mixed groups. All clinicopathologic variables were retrospectively evaluated. Cox regression and Kaplan-Meier methods were used for analysis.

RESULTS

In our study, 60 patients were in the pure group and 38 patients were in the mixed group. Cox multivariate analysis showed that mixed histology was a protective factor impacting overall survival (OS) (P = 0.026) and progression free survival (PFS) (P = 0.018) in surgically treated high-grade NECC. Conversely, survival outcomes were negatively impacted by ovarian preservation (OS: HR, 20.84; 95% CI: 5.02-86.57, P < 0.001), age >45 years (OS: HR, 4.50; 95% CI: 1.0-18.83, P = 0.039), tumor size >4 cm (OS: HR, 6.23; 95% CI: 2.34-16.61, P < 0.001), parity >3 (OS: HR, 4.50; 95% CI: 1.02-19.91, P = 0.048), and perineural invasion (OS: HR, 5.21; 95% CI: 1.20-22.53, P = 0.027). Kaplan-Meier survival curves revealed notable differences in histologic type (OS: P = 0.045; PFS: P = 0.024), chemotherapy (OS: P = 0.0056; PFS: P = 0.0041), ovarian preservation (OS: P = 0.00031; PFS: P = 0.0023), uterine invasion (OS: P < 0.0001; PFS: P < 0.0001), and depth of stromal invasion (OS: P = 0.043; PFS: P = 0.022).

CONCLUSION

Patients with mixed histologic types who undergo surgery for high-grade NECC have a better prognosis. Meanwhile, ovarian preservation, tumor size >4 cm, parity >3, age >45 years and perineural invasion were poor prognostic predictors. Therefore, patients with high-risk factors should be considered in clinical practice.

Prognostic model for survival in patients with neuroendocrine carcinomas of the cervix: SEER database analysis and a single-center retrospective study

OBJECTIVE

Neuroendocrine carcinoma of the cervix (NECC) is extremely rare in clinical practice. This study aimed to methodologically analyze the clinicopathological factors associated with NECC patients and to develop a validated survival prediction model.

METHODS

A total of 535 patients diagnosed with NECC between 2004 and 2016 were identified from the Surveillance, Epidemiology and End Results (SEER) database, while 122 patients diagnosed with NECC at Yunnan Cancer Hospital (YCH) from 2006 to 2019 were also recruited. Patients from the SEER database were divided into a training cohort (n = 376) and a validation cohort (n = 159) in a 7:3 ratio for the construction and internal validation of the nomogram. External validation was performed in a cohort at YCH. The Kaplan-Meier method was used for survival analysis, the Log-rank method test was used for univariate analysis of prognostic influences, and the Cox regression model was used for multivariate analysis.

RESULTS

The 3-year and 5-year overall survival (OS) rates for patients with NECC in SEER were 43.6% and 39.7%, respectively. In the training cohort, multivariate analysis showed independent prognostic factors for NECC patients including race, tumor size, distant metastasis, stage, and chemotherapy (p<0.05). For extended application in other cohorts, a nomogram including four factors without race was subsequently created. The consistency index (C-index) of the nomogram predicting survival was 0.736, which was well-validated in the validation cohorts (0.746 for the internal validation cohort and 0.765 for the external validation cohort). In both the training and validation cohorts, the 3-year survival rates predicted by the nomogram were comparable to the actual ones. We then succeeded in dividing patients with NECC into high- and low-risk groups concerning OS using the nomogram we developed. Besides, univariate analysis showed that chemotherapy ≥4 cycles may improve the OS of patients at YCH with NECC.

CONCLUSION

We successfully constructed a nomogram that precisely predicts the OS for patients with NECC based on the SEER database and a large single-center retrospective cohort. The visualized and practical model can distinguish high-risk patients for recurrence and death who may benefit from clinical trials of boost therapy effectively. We also found that patients who received more than 4 cycles of chemotherapy acquired survival benefits than those who received less than 4 cycles.

Prognostic value of lymphovascular space invasion in stage IA to IIB cervical cancer: A meta-analysis

BACKGROUND

Lymphovascular space invasion (LVSI) is a prognostic factor in the existing TNM classification system. The present meta-analysis assessed the role of LVSI in predicting the prognosis of stage IA to IIB cervical cancer (CC).

MATERIALS AND METHODS

PubMed, EMBASE, and Cochrane Library electronic databases were searched to determine relevant articles published in the English language. Our search deadline was May 2022. Critical Appraisal of Prognostic Studies was used to assess the quality for each article. Pooled hazard ratios (HRs) were used to evaluate the performance of LVSI in prognosis prediction.

RESULTS

We enrolled 8 studies involving 25,352 patients published after 2010. Thus, high LVSI was an unfavorable factor in predicting overall survival (HR, 2.08; 95% confidence interval, 1.63-2.66; P = .006) and disease-free survival (HR, 2.20; 95% confidence interval, 1.79-2.70; P = .000) for patients with CC. However, the disease-free survival and overall survival were significantly different on univariate analysis based on the subgroup analysis stratified by analysis method, but no obvious heterogeneity was found across diverse articles.

CONCLUSIONS

The present study showed that LVSI predicts the poor prognostic outcome of stage IA to IIB CC. However, well-designed clinical articles should further assess the independent prognosis prediction performance of LVSI in CC.

Prognostic analysis of pT1-T2aN0M0 cervical adenocarcinoma based on random survival forest analysis and the generation of a predictive nomogram

Background

The efficacy of adjuvant radiotherapy for postoperative patients with early-stage cervical adenocarcinoma who are lymph node-negative is still inconclusive. Establishing a nomogram to predict the prognosis of such patients could facilitate clinical decision-making.

Methods

We recruited 4636 eligible patients with pT1-T2aN0M0 cervical adenocarcinoma between 2004 and 2016 from the Surveillance, Epidemiology and End Results (SEER) database. Random survival forest (RSF) and conditional survival forest (CSF) model was used to assess the prognostic importance of each clinical characteristic variable. We identified independent prognostic factors associated with overall survival (OS) by univariate and multivariate Cox regression risk methods and then constructed a nomogram. We stratified patients based on nomogram risk scores and evaluated the survival benefit of different adjuvant therapies. To reduce confounding bias, we also used propensity score matching (PSM) to match the cohorts before performing survival analyses.

Results

The RSF and CSF model identified several important variables that are associated with prognosis, including grade, age, radiotherapy and tumor size. Patients were randomly divided into training and validation groups at a ratio of 7:3. Multivariate cox analysis revealed that age, grade, tumor size, race, radiotherapy and histology were independent prognostic factors for overall survival. Using these variables, we then constructed a predictive nomogram. The C-index value for evaluating the prognostic nomogram fluctuated between 0.75 and 0.91. Patients were divided into three subgroups based on risk scores, and Kaplan-Meier (K-M) survival analysis revealed that in the low-risk group, postoperative chemotherapy alone was associated with a significantly worse OS than surgery alone. Following PSM, survival analysis showed that compared with surgery alone, radiotherapy was associated with a worse OS in the training group although there was no significant difference in the validation group.

Conclusions

For patients with pT1-T2aN0M0 cervical adenocarcinoma, adjuvant treatments such as postoperative radiotherapy or chemotherapy, compared with surgery alone, are of no benefit with regards to patient survival. Our prognostic nomogram exhibits high accuracy for predicting the survival of patients with early-stage postoperative cervical adenocarcinoma.

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

To explore the incidence and prognosis trends for high-grade cervical neuroendocrine tumor (HGCNET) and construct a nomogram to predict prognosis for HGCNET. Annual age-adjusted incidence of HGCNET from 1975 to 2015 was retrieved from the Surveillance, Epidemiology, and End Results program, the linear regression, poisson regression and annual percentage changes were used to assess the incidence trend. Also, trends for relative survival (RS) and overall survival (OS) in HGCNET patients from 1975 to 2015 were evaluated. From 1988 to 1975, 514 HGCNET patients were selected and divided into two cohorts with a ratio of 7:3. Nomogram to predict OS for these patients was constructed and validated. The incidence trend for HGCNET was unchanged in the past four decades (P = 0.734), but the proportion of HGCNET in diagnosed cervical cancer slightly increased from 0.9% in 1975 to 1.9% in 2015 (P < 0.001). The 5-year RS and OS for HGCNET in the study periods decreased steadily (RS: P = 0.009; OS: P = 0.008). Nomogram incorporating age, T stage, lymph-node positive, distant metastasis and surgery was constructed. The C-index of the nomogram was 0.716 (0.680-0.752), which was higher than the FIGO staging system. The incidence of HGCNET remained unchanged in the past four decades but the proportion of HGCNET has slightly increased. Besides, a steadily decreasing survival for HGCNET was observed in the study periods. A nomogram was constructed to better predict prognosis for HGCNET.

Minimally Invasive Radical Hysterectomy for Cervical Cancer: A Systematic Review and Meta-analysis

OBJECTIVE

To compare recurrence rate, progression-free survival (PFS), and overall survival for early-stage cervical cancer after minimally invasive (MIS) vs abdominal radical hysterectomy.

DATA SOURCES

MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Cochrane Library databases.

METHODS OF STUDY SELECTION

We identified studies from 1990 to 2020 that included women with stage I or higher cervical cancer treated with primary radical hysterectomy and compared recurrence and/or PFS and overall survival with MIS vs abdominal radical hysterectomy. (The review protocol was registered with the International Prospective Register of Systematic Reviews: CRD4202173600).

TABULATION, INTEGRATION, AND RESULTS

We performed random-effects meta-analyses overall and by length of follow-up. Fifty articles on 40 cohort studies and 1 randomized controlled trial that included 22 593 women with cervical cancer met the inclusion criteria. Twenty percent of the studies had <36 months of follow-up, and 24% had more than 60 months of follow-up. The odds of PFS were worse for women undergoing MIS radical hysterectomy (odds ratio 1.54; 95% CI [confidence interval], 1.24-1.94; 14 studies). When limited to studies with longer follow-up, the odds of PFS were progressively worse with MIS radical hysterectomy (HR [hazard ratio] 1.48 for >36 months; 95% CI, 1.21-1.82; 10 studies; HR 1.69 for >48 months; 95% CI, 1.26-2.27; 5 studies; and HR 2.020 for >60 months; 95% CI, 1.36-3.001; 3 studies). For overall survival, the odds were not significantly different for MIS vs abdominal hysterectomy (odds ratio 0.94; 95% CI, 0.66-1.35; 14 studies) (HR 0.99 for >36 months; 95% CI, 0.66-1.48; 9 studies; HR 1.05 for >48 months; 95% CI, 0.57-1.94; 4 studies; and HR 1.35 for >60 months; 95% CI, 0.73-2.51; 3 studies).

CONCLUSION

In our meta-analysis of 50 studies, MIS radical hysterectomy was associated with worse PFS than open radical hysterectomy for early-stage cervical cancer. The emergence of this finding with longer follow-up highlights the importance of long-term, high-quality studies to guide cancer and surgical treatments.