Can pelvic lymphadenectomy be omitted in patients with stage IA2, IB1, and IIA1 squamous cell cervical cancer?

Pelvic lymph node involvement and risk of recurrence in HPV-associated endocervical adenocarcinoma stage IA2-IB1 according to Silva's system in two Colombian cancer centers

OBJECTIVE

To compare the pelvic lymph node involvement and risk of recurrence in patients with human papillomavirus (HPV)-associated endocervical adenocarcinoma stage IA2-IB1 undergoing hysterectomy and/or trachelectomy plus lymphadenectomy, according to Silva's classification system.

METHODS

A retrospective cohort study was performed in two Colombian cancer centers. The cases were classified according to the Silva classification system. Clinical, surgical, and histopathological variables were evaluated. Recurrence risk was analyzed by patterns A, B, or C. A logistic regression model was performed for tumor recurrence. The Kaplan-Meier method was used to estimate overall survival and disease-free survival (DFS). A weighted kappa was performed to determine the degree of concordance between pathologists.

RESULTS

A total of 100 patients were identified, 33% pattern A, 29% pattern B, and 38% pattern C. The median follow-up time was 42.5 months. No evidence of lymph node involvement was found in patients classified as A and B, while in the C pattern was observed in 15.8% (n = 6) of cases (P < 0.01). There were 7% of cases with recurrent disease, of which 71.5% corresponded to type C pattern. Patients with Silva pattern B and C had 1.22- and 4.46-fold increased risk of relapse, respectively, compared with pattern A. The 5-year DFS values by group were 100%, 96.1%, and 80.3% for patterns A, B, and C, respectively.

CONCLUSION

For patients with early-stage HPV-associated endocervical adenocarcinoma, the type C pattern presented more lymph node involvement and risk of recurrence compared to the A and B patterns. The concordance in diagnosis of different Silva's patterns by independents pathologists were good.

Feasibility and Diagnostic Accuracy of Ultrastaging in the Detection of Micrometastases in Sentinel and Non-sentinel Lymph Nodes in Cervical Cancer: A Single-Center Retrospective Study With a Five-Year Follow-Up Period

BACKGROUND

Cervical cancer is the fourth most common cause of malignant tumor-related deaths among women in developing nations. Cervical cancer has been estimated to cause 527.600 new cases and 265.700 deaths globally per year.

OBJECTIVES

This study aimed to evaluate patients with cervical cancer by ultrastaging all the lymph nodes (LN), sentinel LN (SLN) and non-SLN, to increase the sensitivity of the detection of LN metastases and the diagnostic accuracy in cervical cancer with a five-year follow-up.

MATERIALS AND METHODS

This is a retrospective study of 14 cervical cancer cases from 2017 to 2019 at the Municipal Emergency Clinical Hospital of Timisoara, Romania. The cases were selected based on their high risk of LN involvement but negative intraoperative pathologic LN. After re-evaluating all paraffin block biopsy samples from 29 cases, 14 cases were included in the study, which met all criteria for ultrastaging on surgical biopsy samples.

RESULTS

Patients' ages included in the study ranged from 43 to 70 years (median: 57.14 years). According to the International Federation of Gynecology and Obstetrics (FIGO) staging, the majority of the patients were in stage IB: seven cases (50%). The study revealed a positive correlation between patient age and FIGO staging, with Pearson's correlation coefficient of 0.707 and a p-value of less than 0.05, indicating that older patients were more likely to be diagnosed with a higher FIGO stage. The mean follow-up was 34.5 months, and the median follow-up was 36 months (range: 6-60 months). We obtained 167 nodes, with a mean of 11.92 nodes/case. Twenty-one LN were found to be positive with the ultrastaging method. We detected 11 LN with macrometastases (MAC) (52.38%), seven with micrometastasis (MIC) (33.3%), and three with tumor cell islets (14.4%). That would be 13% of newly diagnosed ultrastaging cases as positive nodes. This ultrastaging method detected nodal MIC in eight (57.1%) out of the 14 patients, who initially tested negative for LN involvement using the routine Hematoxylin and Eosin (HE) method. The detection of micrometastases in these patients underscored the superior sensitivity of ultrastaging, which was further highlighted by the subsequent relapse of four (28.57%) out of these eight patients. The study also found no correlation between the FIGO standardization and the number of MIC found in these patients.

CONCLUSIONS

Predicting cervical LN metastasis (LNM) is crucial for improving survival rates and reducing recurrence. Very few small cohort studies used an ultrastaging method to assess non-SLNs; most of them only assessed SLNs. We showed in our study that the ultrastaging method, both in the case of SLN and non-SLN, is superior compared with H&E analysis, with a 13% rate of new positive nodule diagnosis. Metastatic involvement of non-SLN was found in over 50% of all cases (8/14) according to the ultrastaging method. Additionally, our study confirms that the sensitivity of SLN ultrastaging is high for the presence of both MIC and MAC in SLN pelvic LN. As a result, we feel that ultrastaging is the most effective method for SLN analysis in patients with early-stage cervical cancer, and bilateral detection is preferable, significantly reducing false-negative results. The routine use of SLN along with ultrastaging would lead to more accurate surgical staging and better oncological follow-up of cases.

Development and validation of a nomogram for predicting pelvic lymph node metastasis and prognosis in patients with cervical cancer

Objective

Cervical cancer (CC) is one of the main causes of death among gynecological malignancies. Patients with CC with lymph node metastasis (LNM) have poor prognoses. We investigated the risk factors and prognosis of LNM in patients with CC patients using data from the SEER database.

Methods

We collected the information of cervical cancer patients registered in SEER database from 2010 to 2015. The dataset was divided into a training set and a validation set at a 7:3 ratio. LASSO regression analysis was used to evaluate risk factors for LNM in patients with CC. Using the results, we established a nomogram prediction model. C-index, ROC curves, calibration curves, decision curve analysis, and clinical impact curves were used to evaluate the prediction performance of the model.

Results

We included 14,356 patients with CC in the analysis. Among these, 3997 patients were diagnosed with LNM. A training set (10,050 cases) and a validation set (4306 cases) were used for the following analysis. We established nomogram LNM prediction models for the patients with T_1-2-stage CC. The C-indices for the internal and external validations of the prediction models were 0.758 and 0.744, respectively. In addition, we established a prognostic nomogram for all CC patients with LNM, and the internal and external validation C-indices were 0.763 and 0.737.

Conclusion

We constructed a quantitative and visual predictive nomogram that predicted prognosis of patients with LNM in CC to provide clinicians with a reference for diagnosis and treatment.

Does the New FIGO 2018 Staging System Allow Better Prognostic Differentiation in Early Stage Cervical Cancer? A Dutch Nationwide Cohort Study

Simple Summary

The introduction of a revised staging system (FIGO 2018 staging system) for cervical cancer has led to a significant change in stage allocation for patients with early stage disease. It remains unclear how this change should be translated into treatment options, including less extensive surgery. With this Dutch national study we evaluated whether the revised staging system resulted in a more accurate prediction of overall and recurrence free survival compared to the previous FIGO 2009 staging system. In addition, we assessed other factors which may help the paradigm of treatment. We concluded that the revised FIGO 2018 staging system gives a more precise indication of survival outcomes of women with early stage cervical cancer. In addition, we believe that aside from stage, tumor characteristics, such as LVSI, and depth of invasion should be considered when offering patients less radical or less extensive treatment.

Abstract

The FIGO 2018 staging system was introduced to allow better prognostic differentiation in cervical cancer, causing considerable stage migration and affecting treatment options. We evaluated the accuracy of the FIGO 2018 staging in predicting recurrence free (RFS) and overall survival (OS) compared to FIGO 2009 staging in clinically early stage cervical cancer. We conducted a nationwide retrospective cohort study, including 2264 patients with preoperative FIGO (2009) IA1, IA2 and IB1 cervical cancer between 2007–2017. Kaplan–Meier analyses were used to assess survival outcomes. Logistic regression was used to assess risk factors for lymph node metastasis and parametrial invasion. Stage migration occurred in 48% (22% down-staged, 26% up-staged). Survival data of patients down-staged from IB to IA1/2 disease were comparable with FIGO 2009 IA1/2 and better than patients remaining stage IB1. LVSI, invasion depth and parametrial invasion were risk factors for lymph node metastases. LVSI, grade and age were associated with parametrial invasion. In conclusion, the FIGO 2018 staging system accurately reflects prognosis in early stage cervical cancer and is therefore more suitable than the FIGO 2009 staging. However subdivision in IA1 or IA2 based on presence or absence of LVSI instead of depth of invasion would have improved accuracy. For patients down-staged to IA1/2, less radical surgery seems appropriate, although LVSI and histology should be considered when determining the treatment plan.

Risk Factor Assessment of Lymph Node Metastasis in Patients With FIGO Stage IB1 Cervical Cancer

Objectives

To assess the risk factors of lymph node metastasis (LNM) in patients with FIGO stage (2009) IB1 cervical cancer (CC).

Methods

Patients with FIGO stage IB1 CC who underwent radical resection between 2012 and 2018 were recruited. The risk factors for LNM were analysed. A recursive partitioning analysis (RPA) was used to divide the patients into risk groups and assess their risk of LNM.

Results

The 5-year overall survival rate was 91.72%, while 80.0% and 93.5% for patients with or without LNM (P<0.05). Multivariable logistic regression analysis showed that lymphovascular invasion (LVI), depth of invasion (DI), tumour size (TS), squamous cell carcinoma (SCC) antigen level were independent risk factors (all P<0.05). Patients were divided into low-risk (no LVI, DI <1/2, TS <2 cm), intermediate-risk (no LVI, DI <1/2, TS ≥2 cm; no LVI, DI ≥1/2, normal SCC level; LVI, DI <1/2, TS <2 cm), and high-risk (no LVI, DI ≥1/2, SCC level ≥1.5 ng/ml; LVI, TS <2 cm, DI ≥1/2; LVI, TS ≥2 cm) groups by RPA according to these four factors. The incidence of LNM among the three groups was 0.00%, 4.40%, and 24.10%, respectively (all P<0.001). The 5-year overall survival rates differed among the groups (98.2%, 92.7%, 83.0%, respectively, P=0.001).

Conclusions

LNM affects the prognosis of patients with FIGO stage IB1 CC. Lymphadenectomy may be avoided for patients in the low-risk group and recommended for those in the high-risk group. Whether dissection is performed in the intermediate-risk group depends on the lymph node biopsy results.

Less extensive surgery for patients with FIGO stage IA2 cervical cancer: A population-based study

OBJECTIVES

The objectives of this study were to study the feasibility of less extensive surgeries for stage IA2 cervical cancer and to examine the incidence of positive nodes in stage IA2 cervical cancer.

METHODS

Patients with stage IA2 cervical cancer treated surgically between 1998 and 2015 were identified from the Surveillance, Epidemiology, and End Results database. Overall survival (OS) and cervical cancer-specific survival (CCSS) were compared among patients who underwent different types of surgery (simple hysterectomy VS radical hysterectomy, lymphadenectomy VS without lymphadenectomy). The Cox proportional hazards regression model was applied to evaluate multiple prognostic factors.

RESULTS

1343 patients were included in this study. The overall incidence of positive nodes in stage IA2 was 2.53%. For well-differentiated IA2 cervical cancer, the incidence of regional lymph node involvement was as low as 1.42%. Compared with patients who underwent lymphadenectomy, the patients who did not undergo lymphadenectomy had the same OS (HR, 1.336; 95% CI, 0.923 to 1.933; P = 0.149) and CCSS (HR, 1.038; 95% CI, 0.504 to 2.140; P = 0.920). The log-rank test also indicated that simple hysterectomy was not associated with decreased OS (HR, 1.048; 95% CI, 0.750 to 1.466; P = 0.781) and CCSS (HR, 1.259; 95% CI, 0.655 to 2.420; P = 0.490). Multivariable analyses showed that lymphadenectomy and type of hysterectomy were not independent predictors of survival for patients with stage IA2 cervical cancer.

CONCLUSIONS

The incidence of nodal involvement in well-differentiated stage IA2 cervical cancer was fairly low, lymphadenectomy may be omitted in these patients. The excision range of parametrial tissue was not associated with the oncological survival of women with stage IA2 cervical cancer, simple hysterectomy may be an appropriate alternative for this group of patients.

The role of lymph nodes in cervical cancer: incidence and identification of lymph node metastases-a literature review

Correct identification of patients with lymph node metastasis from cervical cancer prior to treatment is of great importance, because it allows more tailored therapy. Patients may be spared unnecessary surgery or extended field radiotherapy if the nodal status can be predicted correctly. This review captures the existing knowledge on the identification of lymph node metastases in cervical cancer. The risk of nodal metastases increases per 2009 FIGO stage, with incidences in the pelvic region ranging from 2% (stage IA2) to 14-36% (IB), 38-51% (IIA) and 47% (IIB); and in the para-aortic region ranging from 2 to 5% (stage IB), 10-20% (IIA), 9% (IIB), 13-30% (III) and 50% (IV). In addition, age, tumor size, lymph vascular space invasion, parametrial invasion, depth of stromal invasion, histological type, and histological grade are reported to be independent prognostic factors for the risk of nodal metastases. Furthermore, biomarkers can contribute to predict a patient's nodal status, of which the squamous cell carcinoma antigen (SCC-Ag) is currently the most widely used in squamous cell cervical cancer. Still, pre-treatment lymph node assessment is primarily performed by imaging, of which diffusion-weighted magnetic resonance imaging has the highest sensitivity and 2-deoxy-2-[¹⁸F]fluoro-D-glucose positron emission computed tomography the highest specificity. Imaging results can be combined with clinical parameters in nomograms to increase the accuracy of predicting positives nodes. Despite all the progress regarding pre-treatment prediction of lymph node metastases in cervical cancer in recent years, prediction rates are not robust enough to safely abandon surgical staging of the pelvic or para-aortic region yet.

Cervical cancer with ≤5 mm depth of invasion and >7 mm horizontal spread - Is lymph node assessment only required in patients with LVSI?

OBJECTIVE

Cervical cancer with ≤5 mm depth of invasion and >7 mm horizontal spread is classified FIGO IA instead of FIGO IB in the revised staging system, as horizontal spread is no longer considered. We aimed to determine the incidence of lymph node metastasis (LNM) and, consequently, the necessity of pelvic lymph node assessment.

METHODS

Patients diagnosed between January 2015 and May 2019 with cervical cancer FIGO (2009) stage IB with ≤5 mm depth of invasion and >7 mm horizontal spread, were identified from the Netherlands Cancer Registry. Associations between disease-characteristics and lymph node metastasis (LNM), and overall survival, were assessed.

RESULTS

Of 170 patients, six (3.5%) had LNM: 4/53 (7.6%) with adenocarcinoma and 2/117 (1.7%) with squamous cell carcinoma (p = .077). Four-year overall survival was 98.2%. LNM was observed more often in tumours with LVSI (4/43 patients, 9.3%) than without LVSI (2/117 patients, 1.7%) (p = .045). In adenocarcinoma with 3-5 mm depth of invasion LNM rate was 10% (4/40). None of the following tumours were observed with LNM: squamous cell carcinoma without LVSI (0/74); adenocarcinoma with <3 mm depth of invasion (0/13); <3 mm depth of invasion without LVSI (0/36).

CONCLUSIONS

Lymph node assessment is essential in any tumour with LVSI or in adenocarcinoma with 3-5 mm depth of invasion. It can be omitted in squamous cell carcinoma without LVSI, in adenocarcinoma with <3 mm depth of invasion and in any tumours without LVSI and with <3 mm depth of invasion.

Progress in the Study of Lymph Node Metastasis in Early-stage Cervical Cancer

Spread into regional lymph node is the major route of metastasis in cervical cancer. Although lymph node status is not involved in the International Federation of Gynecology and Obstetrics staging system of uterine cervical cancer, the presence or absence of lymph node metastasis provides important information for prognosis and treatment. In this review, we have attempted to focus on the incidence and patterns of lymph node metastasis, and the issues surrounding surgical assessment of lymph nodes. In addition, the preoperative prediction of lymph node status, as well as the intraoperative assessment by sentinel nodes will be reviewed. Finally, lymph node micrometastasis also will be discussed.

Predictive Factors of Pelvic Lymph Node Metastasis in Early-Stage Cervical Cancer

BACKGROUND

Pelvic lymphadenectomy, which is the routine surgical treatment for early-stage cervical cancer, causes serious morbidity. The goal of the current retrospective study was to identify predictive factors of lymph node metastasis (LNM) in patients with early-stage cervical cancer.

PATIENTS AND METHODS

The study included 496 patients diagnosed with stages IA2-IB1cervical cancer who underwent a radical hysterectomy with pelvic lymphadenectomy. The predictive factors of LNM were evaluated.

RESULTS

The incidence of LNM in this study was 4.6%. LNM was more common in patients with deep stromal invasion (DSI), tumor size > 2 cm, lymph vascular invasion and parametrial involvement (PI). Multivariate analysis showed DSI (p = 0.010) and PI (p = 0.005) were independently associated with LNM. The median follow-up time was 56.9 months. The patients with LNM had poorer 5-year overall survival (77.8%; 95% confidence interval (CI) 44.2-92.6) than the patients without LNM (98.2%; 95% CI 95.6-99.2; p = 0.002) and also poorer 5-year recurrence-free survival (65.5%; 95% CI 38.6-82.8) than the patients without LNM (90.2%; 95% CI 86.5-92.9; p < 0.001).

CONCLUSION

The predictive factors of pelvic lymph node metastasis in stage IA2-IB1 cervical cancer patients were DSI and PI. LNM was associated with poorer oncological outcomes.