New pattern-based personalized risk stratification system for endocervical adenocarcinoma with important clinical implications and surgical outcome

Postoperative adjuvant therapy for stage IA-IIA cervical adenocarcinoma (FIGO 2018) with one intermediate-risk factor: a multicentre retrospective cohort study of 63,926 cases

OBJECTIVE

To compare the 5-year oncological outcomes of different adjuvant treatment modalities in patients with FIGO 2018 stage IA-IIA cervical adenocarcinoma who underwent open radical hysterectomy and one intermediate-risk pathological factor.

METHODS

Based on the Four C database (between 2004 and 2018,n=63,926), patients with FIGO 2018 stage IA-IIA cervical adenocarcinoma and only one intermediate-risk pathological factor underwent open extensive hysterectomy. All patients were divided into three groups, namely, the simple surgery group (radical hysterectomy, RH), postoperative adjuvant chemotherapy group (radical hysterectomy and chemotherapy, RH + CT), and postoperative adjuvant chemoradiotherapy group (radical hysterectomy and radiotherapy/concurrent chemoradiotherapy, RH + RT/CCRT). The 5-year OS and DFS rates were compared among the three groups.

RESULTS

Of the 219 cervical adenocarcinoma patients with only one intermediate-risk pathological factor, 50 patients had RH; 54 patients had RH + CT; and 115 patients had RH + RT/CCRT. There were no significant differences in 5-year OS and 5-year DFS rates among the three groups (RH vs. RH + CT: 92.7% vs. 90.3%, P = 0.749; 88.5% vs. 85.1%, P = 0.680, RH vs. RH + RT/CCRT: 90.7% vs. 82.3%, P = 0.484; 84.4% vs. 90.1%, P = 0.494, RH + CT vs. RH + RT/CCRT: 89.9% vs. 90.6%, P = 0.815; 90.5% vs. 90.8%, P = 0.905).

CONCLUSION

Postoperative adjuvant chemotherapy or chemoradiotherapy did not significantly improve the outcomes of FIGO 2018 IA-IIA cervical adenocarcinoma patients with only one intermediate risk factor.

The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinoma

Objectives

The accurate assessment of lymph node metastasis (LNM) can facilitate clinical decision-making on radiotherapy or radical hysterectomy (RH) in cervical adenocarcinoma (AC)/adenosquamous carcinoma (ASC). This study aims to develop a deep learning radiomics nomogram (DLRN) to preoperatively evaluate LNM in cervical AC/ASC.

Materials and methods

A total of 652 patients from a multicenter were enrolled and randomly allocated into primary, internal, and external validation cohorts. The radiomics features were extracted from axial T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and contrast-enhanced T1-weighted imaging (CE-T1WI). The DL features from T2WI, DWI, and CE-T1WI were exported from Resnet 34, which was pretrained by 14 million natural images of the ImageNet dataset. The radscore (RS) and DL score (DLS) were independently obtained after repeatability test, Pearson correlation coefficient (PCC), minimum redundancy maximum relevance (MRMR), and least absolute shrinkage and selection operator (LASSO) algorithm performed on the radiomics and DL feature sets. The DLRN was then developed by integrating the RS, DLS, and independent clinicopathological factors for evaluating the LNM in cervical AC/ASC.

Results

The nomogram of DLRN-integrated FIGO stage, menopause, RS, and DLS achieved AUCs of 0.79 (95% CI, 0.74-0.83), 0.87 (95% CI, 0.81-0.92), and 0.86 (95% CI, 0.79-0.91) in the primary, internal, and external validation cohorts. Compared with the RS, DLS, and clinical models, DLRN had a significant higher AUC for evaluating LNM (all P < 0.005).

Conclusions

The nomogram of DLRN can accurately evaluate LNM in cervical AC/ASC.

Endocervical adenocarcinoma with a micropapillary component: a clinicopathologic analysis in the setting of current WHO classification

Our study aimed to investigate the clinicopathologic and molecular features of endocervical adenocarcinoma with a micropapillary component (EAC-MP) in the setting of current classification schema. We investigated 26 EAC-MP from consecutive 511 adenocarcinomas. HER2 status was analyzed by immunohistochemistry and fluorescence in situ hybridization. Four cases were performed with targeted next-generation sequencing (NGS). We found that HPV-associated adenocarcinomas (HPVA) with a micropapillary component (HPVA-MP) (n = 12) had a higher frequency of large tumor size (> 2 cm), Silva pattern C (12/12, 100%), invasion of the deep cervical wall (> 2/3) (8/12, 66.7%), lymphovascular space invasion (LVSI) (11/12, 91.7%), lymph node metastasis (4/11, 36.4%), FIGO stage III/IV (4/12, 33.3%), and HER2 amplification (3/12, 25%, P = 0.015), compared to those without (HPVA-NMP (all P < 0.05). HPV-independent adenocarcinomas (HPVI) with a micropapillary component (HPVI-MP) (n = 14) had LVSI more commonly than those without (HPVI-NMP) (P = 0.033). Survival analysis indicated that HPVA-MP was associated with worse overall survival and recurrence-free survival than HPVA-NMP (P < 0.01). Particularly, in patients with Silva pattern C, HPVA-MP appeared to have more adverse clinical outcomes (P < 0.01). No survival differences were found in HPVI-MP versus HPVI-NMP (P > 0.05). NGS identified significant mutations in STK11, TERT, ERBB2, TP53, PIK3CA, ARID1A, and NTRK2. We conclude that the micropapillary structure is an indicator for unfavorable clinical outcomes in HPVA, and can aid in the prognostic stratification of Silva pattern C EAC. The presence of HER2 amplification and specific gene mutations raise the possibility for targeted therapy in the future.

Association between Silva pattern-based classification and endocervical adenocarcinoma: a systematic review and meta-analysis

OBJECTIVE

To determine the relationship between the Silva pattern-based classification system and endocervical adenocarcinoma.

METHODS

The PubMed, Embase, Central Cochrane Library, and Web of Science databases were systematically searched for studies that investigated the correlation between the Silva classification system and the oncology prognosis or pathological features of endocervical adenocarcinoma, published in the period from January 2013 to March 2024.

RESULTS

A total of 19 eligible studies including 3122 cases were included in this systematic review and meta-analysis. The combined death rate in the Silva A, Silva B, and Silva C patterns was 0% (95% CI 0.0% to 0.4%), 2.6% (95% CI 0.4% to 5.9%), and 14.0% (95% CI 9.4% to 19.2%), respectively; the combined recurrence rate in the Silva A, Silva B, and Silva C patterns was 0.1% (95% CI 0.0% to 1.2%), 5.1% (95% CI 1.6% to 10.0%), and 19.4% (95% CI 14.7% to 24.4%), respectively; the combined lymphovascular invasion rate in the Silva A, Silva B, and Silva C patterns was 0% (95% CI 0.0% to 0.5%), 21.0% (95% CI 16.9% to 25.4%), and 58.8% (95% CI 50.1% to 67.3%), respectively; and the combined International Federation of Gynecology and Obstetrics (FIGO) I rate in the Silva A, Silva B, and Silva C patterns was 99.3% (95% CI 97.6% to 100%), 93.7% (95% CI 86.4% to 98.7%), and 82.4% (95% CI 74.9% to 88.9%), respectively.

CONCLUSION

Our study found that Silva A was negatively correlated with death rate, while Silva C was positively correlated. There was no correlation regarding the death rate for Silva B. Based on these findings, it is suggested that the Silva pattern-based classification system can predict the prognosis of human papillomavirus (HPV)-related endocervical adenocarcinoma and assist in guiding patient treatment.

Comparison of MRI features among squamous cell carcinoma, adenocarcinoma and adenosquamous carcinoma, usual-type endocervical adenocarcinoma and gastric adenocarcinoma of cervix

OBJECTIVE

To compare and explore the characteristics of squamous cell carcinoma (SCC), adenocarcinoma (AC) and adenosquamous carcinoma (ASC), usual-type endocervical adenocarcinoma (UEA) and gastric adenocarcinoma (GAC) of cervix.

MATERIALS AND METHODS

A total of 728 cervical cancers (254 cases of AC, 252 cases of ASC, and 222 cases of SCC) confirmed by histopathology were retrospectively reviewed. Among AC, 119 UEA and 47 GAC were included. Clinical baseline data and tumor morphological features on MRI (including tumor location, shape, diameter and volume, margin, growth pattern, presence of fluid component or cyst, heterogenous and peritumoral enhancement) of all cases were collected and analyzed. The signal intensity (SI) of tumor and gluteus maximus muscle were measured and their ratios (SIR) were calculated based on T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) and contrast-enhanced T1WI at arterial and delay phases (A/DCE-T1WI). These clinical and MRI features were compared between SCC, AC and ASC, UEA and GAC, and the specific ones of each subtype were identified.

RESULTS

There was a significant difference in SCC-Ag, CA-199, CEA, ADC value, SIR-DWI, presence of intratumor cyst and peritumoral enhancement between AC and ASC; in patient age, menopausal status, International Federation of Gynecology and Obstetrics (FIGO) stage, SCC-Ag, CA-125, CA-199, CEA, tumor shape, growth pattern, margin, presence of intratumor fluid component and cyst, tumor diameter and volume, ADC value, SIR-T1WI, SIR-T2WI, and SIR-DWI between SCC and AC, as well as SCC and ASC. Also, there was a significant difference in deep stromal invasion (DSI), peritumoral and heterogenous enhancement between SCC and AC, and in SIR-ACE-T1WI between SCC and ASC. There was a significant difference in reproductive history, menopausal status, FIGO stage, CA-199, DSI, lymph node metastasis (LNM), parametrial invasion (PMI), tumor location, shape, margin, growth pattern, presence of fluid component and cyst, tumor diameter and volume, SIR-T1WI, SIR-DWI, and heterogenous enhancement between GAC and UEA.

CONCLUSION

The clinical and MRI features with significant differences among SCC, AC and ASC, and between UEA and GAC, can help to identify each subtype of cervical cancer.

Polymorphisms in miRNA Genes Targeting the AMPK Signaling Pathway are Associated with Cervical Cancer Susceptibility in a Han Chinese Population

Purpose

Cervical cancer (CC) poses a significant threat to women's health worldwide, and multiple signaling pathways have been confirmed to be involved in its development. The AMPK signaling pathway plays a central role in maintaining energy homeostasis, and its dysregulation is closely associated with the occurrence of CC. Changes in microRNA (miRNA) expression levels might be related to the AMPK signaling pathway. Single nucleotide polymorphisms (SNPs) can affect the function of miRNA and result in the development of CC. To investigate the association between the SNPs of AMPK pathway-associated miRNAs and CC in a Han Chinese population, we selected eight miRNA genes located in the AMPK pathway and analyzed nine SNP loci within these genes to explore whether they are associated with genetic susceptibility to cervical intraepithelial neoplasia (CIN) and CC.

Methods

A total of 2,220 subjects were included in this study, including 928 healthy controls, 421 CIN patients, and 871 CC patients. Nine candidate SNPs (rs895819 in miR-27a, rs10061133 in miR-449b, rs41291179 in miR-216a, rs76481776 in miR-182, rs10406069 in miR-5196, rs12803915 and rs550894 in miR-612, rs66683138 in miR-3622b, and rs2620381 in miR-627) were genotyped using the TaqMan method.

Results

The results showed significant differences in the allele distribution of rs41291179 and rs12803915 between the control group and the CIN group, as well as between the control group and the CC group (all P values < 0.005). The A allele of rs41291179 and the G allele of rs12803915 were associated with decreased risk of CIN (OR = 0.05, 95% CI: 0.01-0.39; OR = 0.61, 95% CI: 0.49-0.76) and CC (OR = 0.08, 95% CI: 0.01-0.66; OR = 0.71, 95% CI: 0.59-0.86), respectively.

Conclusion

Our results suggest that polymorphisms in miRNA genes of the AMPK signaling pathway are associated with the development of CC.

First birth after uterine transposition in low-volume lymph node metastasis of cervical cancer: A long journey for success

Locally advanced cervical cancer poses a significant challenge to fertility-sparing treatments. Pelvic radiotherapy impairs reproductive potential owing to ovarian, uterine, and endometrial side effects. This study presents a literature review of the main fertility-sparing therapeutic alternatives for locally advanced cervical cancer and a case report of the first childbirth following uterine transposition for gynecological malignancies.

The evolving landscape of immunohistochemistry in cervical and uterine carcinoma in gynecologic oncology: current status and future directions

Immunohistochemistry (IHC) has become an indispensable tool in routine gynecological pathology, particularly with the advancements in molecular understanding and histological classification of gynecological cancers. This evolution has led to new immunostainings for diagnostic and classification purposes. This review describes the diagnostic utility of IHC in gynecological neoplasms, drawing insights from literature reviews, personal experiences, and research findings. It delves into the application of IHC in resolving morphologically equivocal cases, emphasizing its role in achieving an accurate diagnosis. The selection of appropriate immunomarkers for common scenarios encountered in gynecological pathology aids pathologists in navigating complex cases. Specifically, we focus on cervical and endometrial malignancies, elucidating the molecular rationale behind the use of specific immunohistochemical markers. An updated overview of essential immunohistochemical markers provides knowledge for precise diagnosis and classification of gynecological cancers. This review serves as a valuable resource for clinicians and researchers involved in the management and study of gynecological malignancies, facilitating improved patient care and outcomes.

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.

Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early-Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter Study

BACKGROUND

Deep stromal invasion (DSI) is one of the predominant risk factors that determined the types of radical hysterectomy (RH). Thus, the accurate assessment of DSI in cervical adenocarcinoma (AC)/adenosquamous carcinoma (ASC) can facilitate optimal therapy decision.

PURPOSE

To develop a nomogram to identify DSI in cervical AC/ASC.

STUDY TYPE

Retrospective.

POPULATION

Six hundred and fifty patients (mean age of 48.2 years) were collected from center 1 (primary cohort, 536), centers 2 and 3 (external validation cohorts 1 and 2, 62 and 52).

FIELD STRENGTH/SEQUENCE

5-T, T2-weighted imaging (T2WI, SE/FSE), diffusion-weighted imaging (DWI, EPI), and contrast-enhanced T1-weighted imaging (CE-T1WI, VIBE/LAVA).

ASSESSMENT

The DSI was defined as the outer 1/3 stromal invasion on pathology. The region of interest (ROI) contained the tumor and 3 mm peritumoral area. The ROIs of T2WI, DWI, and CE-T1WI were separately imported into Resnet18 to calculate the DL scores (TDS, DDS, and CDS). The clinical characteristics were retrieved from medical records or MRI data assessment. The clinical model and nomogram were constructed by integrating clinical independent risk factors only and further combining DL scores based on primary cohort and were validated in two external validation cohorts.

STATISTICAL TESTS

Student's t-test, Mann-Whitney U test, or Chi-squared test were used to compare differences in continuous or categorical variables between DSI-positive and DSI-negative groups. DeLong test was used to compare AU-ROC values of DL scores, clinical model, and nomogram.

RESULTS

The nomogram integrating menopause, disruption of cervical stromal ring (DCSRMR), DDS, and TDS achieved AU-ROCs of 0.933, 0.807, and 0.817 in evaluating DSI in primary and external validation cohorts. The nomogram had superior diagnostic ability to clinical model and DL scores in primary cohort (all P < 0.0125 [0.05/4]) and CDS (P = 0.009) in external validation cohort 2.

DATA CONCLUSION

The nomogram achieved good performance for evaluating DSI in cervical AC/ASC.

LEVEL OF EVIDENCE

3 TECHNICAL EFFICACY: Stage 2.

Intratumoral and peritumoral MRI radiomics nomogram for predicting parametrial invasion in patients with early-stage cervical adenocarcinoma and adenosquamous carcinoma

OBJECTIVE

To develop a comprehensive nomogram based on MRI intra- and peritumoral radiomics signatures and independent risk factors for predicting parametrial invasion (PMI) in patients with early-stage cervical adenocarcinoma (AC) and adenosquamous carcinoma (ASC).

METHODS

A total of 460 patients with IB to IIB cervical AC and ASC who underwent preoperative MRI examination and radical trachelectomy/hysterectomy were retrospectively enrolled and divided into primary, internal validation, and external validation cohorts. The original (Ori) and wavelet (Wav)-transform features were extracted from the volumetric region of interest of the tumour (ROI-T) and 3mm- and 5mm-peritumoral rings (ROI-3 and ROI-5), respectively. Then the Ori and Ori-Wav feature-based radiomics signatures from the tumour (RST) and 3 mm- and 5 mm-peritumoral regions (RS3 and RS5) were independently built and their diagnostic performances were compared to select the optimal ones. Finally, the nomogram was developed by integrating optimal intra- and peritumoral signatures and clinical independent risk factors based on multivariable logistic regression analysis.

RESULTS

FIGO stage, disruption of the cervical stromal ring on MRI (DCSRMR), parametrial invasion on MRI (PMIMR), and serum CA-125 were identified as independent risk factors. The nomogram constructed by integrating independent risk factors, Ori-Wav feature-based RST, and RS5 yielded AUCs of 0.874 (0.810-0.922), 0.885 (0.834-0.924), and 0.966 (0.887-0.995) for predicting PMI in the primary, internal and external validation cohorts, respectively. Furthermore, the nomogram was superior to radiomics signatures and clinical model for predicting PMI in three cohorts.

CONCLUSION

The nomogram can preoperatively, accurately, and noninvasively predict PMI in patients with early-stage cervical AC and ASC.

CLINICAL RELEVANCE STATEMENT

The nomogram can preoperatively, accurately, and noninvasively predict PMI and facilitate precise treatment decisions regarding chemoradiotherapy or radical hysterectomy in patients with early-stage cervical AC and ASC.

KEY POINTS

The accurate preoperative prediction of PMI in early-stage cervical AC and ASC can facilitate precise treatment decisions regarding chemoradiotherapy or radical hysterectomy. The nomogram integrating independent risk factors, Ori-Wav feature-based RST, and RS5 can preoperatively, accurately, and noninvasively predict PMI in early-stage cervical AC and ASC. The nomogram was superior to radiomics signatures and clinical model for predicting PMI in early-stage cervical AC and ASC.

Enhancing prognostic accuracy: a SEER-based analysis for overall and cancer-specific survival prediction in cervical adenocarcinoma patients

BACKGROUND

Cervical adenocarcinoma (CA) is the second most prevalent histological subtype of cervical cancer, following cervical squamous cell carcinoma (CSCC). As stated in the guidelines provided by the National Comprehensive Cancer Network, they are staged and treated similarly. However, compared with CSCC patients, CA patients are more prone to lymph node metastasis and recurrence with a poorer prognosis. The objective of this research was to discover prognostic indicators and develop nomograms that can be utilized to anticipate the overall survival (OS) and cancer-specific survival (CSS) of patients diagnosed with CA.

METHODS

Using the Surveillance, Epidemiology, and End Result (SEER) database, individuals with CA who received their diagnosis between 2004 and 2015 were identified. A total cohort (n = 4485) was randomly classified into two separate groups in a 3:2 ratio, to form a training cohort (n = 2679) and a testing cohort (n = 1806). Overall survival (OS) was the primary outcome measure and cancer-specific survival (CSS) was the secondary outcome measure. Univariate and multivariate Cox analyses were employed to select significant independent factors and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analysis was utilized to develop predictive nomogram models. The predictive accuracy and discriminatory ability of the nomogram were assessed by employing metrics such as the calibration curve, receiver operating characteristic (ROC) curve, and the concordance index (C-index).

RESULTS

Age, Tumor Node Metastasis stages (T, N, and M), SEER stage, grade, and tumor size were assessed as common independent predictors of both OS and CSS. The C-index value of the nomograms for predicting OS was 0.832 (95% CI 0.817-0.847) in the training cohort and 0.823 (95% CI 0.805-0.841) in the testing cohort.

CONCLUSION

We developed and verified nomogram models for predicting 1-, 3- and 5-year OS and CSS among patients with cervical adenocarcinoma. These models exhibited excellent performance in prognostic prediction, providing support and assisting clinicians in assessing survival prognosis and devising personalized treatments for CA patients.

Identifying tumor markers-stratified subtypes (CA-125/CA19-9/carcinoembryonic antigen) in cervical adenocarcinoma

OBJECTIVE

There is a lack of research evaluating the effect of tumor markers for prognosis in cervical adenocarcinoma. We aimed to develop and validate a preoperative tumor-marker-based model including clinicopathological factors to clarify the prognostic value of endocervical adenocarcinoma.

METHODS

A total of 572 patients with cervical adenocarcinoma who were staged at the International Federation of Gynecology and Obstetrics (FIGO) IA-IIA were reviewed retrospectively. Preoperative serum carcinoembryonic antigen (CEA), carbohydrate antigen (CA)-125 and CA19-9 levels were measured. The survival and recurrence patterns were analyzed according to the tumor-marker-related stratification. The predictive values of biomarkers and clinical variables were assessed with Cox regression and competing risk models.

RESULTS

Patients with elevated preoperative tumor markers had evidently poor overall survival and recurrence-free survival. The triple-elevated tumor marker (TETM) subgroup had the worst overall survival and progression-free survival than the triple-negative tumor marker (TNTM) subgroup and the single-elevated tumor marker (SETM) subgroup. The most important predictors for overall survival were elevated tumor markers, FIGO-stage, tumor differentiation, lymphovascular space invasion (LVSI) and lymph nodes metastasis. The most important predictors for recurrence-free survival were elevated tumor markers, FIGO-stage, tumor differentiation, LVSI and deep stromal invasion. Stratified analysis showed that elevated CA-125 and CA19-9 were significantly associated with postoperative distant metastasis. A decision curve analysis confirmed that a combination of tumor markers as predictors significantly outperformed the other common predictors used (FIGO-stage, intermediate and high-risk factors, tumor differentiation, lymph nodes).

CONCLUSIONS

Elevated preoperative serum CEA, CA-125, and CA19-9 levels exhibited poor overall survival and recurrence-free survival in cervical adenocarcinoma patients. Combined preoperative serum CA-125 and CA19-9 independently predicted distant metastasis in patients with endocervical adenocarcinoma.

Establishment and validation of prognostic nomograms integrating histopathological features in patients with endocervical adenocarcinoma

AIMS

To develop and verify pathological models using pathological features basing on HE images to predict survival invasive endocervical adenocarcinoma (ECA) postoperatively.

METHODS

There are 289 ECA patients were classified into training and validation cohort. A histological signature was produced in 191 patients and verified in the validation groups. Histological models combining the histological features were built, proving the incremental value of our model to the traditional staging system for individualised prognosis estimation.

RESULTS

Our model included five chosen histological characteristics and was significantly related to overall survival (OS). Our model had AUC of 0.862 and 0.955, 0.891 and 0.801 in prognosticating 3-year and 5 year OS in the training and validation cohort, respectively. In training cohorts, our model had better performance for evaluation of OS (C-index: 0.832; 95% CI 0.751 to 0.913) than International Federation of Gynecology and Obstetrics (FIGO) staging system (C-index: 0.648; 95% CI 0.542 to 0.753) and treatment (C-index: 0.687; 95% CI 0.605 to 0.769), with advanced efficiency of the classification of survival outcomes. Furthermore, in both cohorts, a risk stratification system was built that was able to precisely stratify stage I and II ECA patients into high-risk and low-risk subpopulation with significantly different prognosis.

CONCLUSIONS

A nomogram with five histological signatures had better performance in OS prediction compared with traditional staging systems in ECAs, which might enable a step forward to precision medicine.

Molecular correlates of invasion pattern in HPV-associated endocervical adenocarcinoma: emergence of two distinct risk-stratified tiers

BACKGROUND

The pattern-based (Silva) classification of invasive human papilloma virus (HPV)-associated endocervical adenocarcinomas (HPVA) is an established and reproducible method to predict outcomes for this otherwise stage-dependent group of tumours. Previous studies utilising targeted sequencing have shown a correlation between mutational profiles and an invasive pattern. However, such correlation has not been explored using comprehensive molecular testing.

DESIGN

Clinicopathologic data including invasive pattern (Silva groups A, B, and C) was collected for a cohort of invasive HPVA, which previously underwent massive parallel sequencing using a panel covering 447 genes. Pathogenic alterations, molecular signatures, tumour mutational burden (TMB), and copy number alterations (CNA) were correlated with pattern of invasion.

RESULTS

Forty five HPVA (11 pattern A, 17 pattern B, and 17 pattern C tumours) were included. Patients with pattern A presented at stage I with no involved lymph nodes or evidence of recurrence (in those with >2 months of follow-up). Patterns B and C patients also mostly presented at stage I with negative lymph nodes, but had a greater frequency of recurrence; 3/17 pattern B and 1/17 pattern C HPVAs harboured lymphovascular space invasion (LVI). An APOBEC mutational signature was detected only in Silva pattern C tumours (5/17), and pathogenic PIK3CA changes were detected only in destructively invasive HPVA (patterns B and C). When cases were grouped as low-risk (pattern A and pattern B without LVI) and high-risk (pattern B with LVI and pattern C), high-risk tumours were enriched in mutations in PIK3CA, ATRX, and ERBB2. There was a statistically significant difference in TMB between low-risk and high-risk pattern tumours (P = 0.006), as well as between Pattern C tumours with and without an APOBEC signature (P = 0.002). CNA burden increased from pattern A to C.

CONCLUSION

Our findings further indicate that key molecular events in HPVA correlate with the morphologic invasive properties of the tumour and their aggressiveness. Pattern B tumours with LVI clustered with pattern C tumours, whereas pattern B tumours without LVI approached pattern A genotypically. Our study provides a biologic foundation for consolidating the Silva system into low-risk (pattern A + B without LVI) and high-risk (pattern B with LVI and pattern C) categories.

Combined Infiltrative Macroscopic Growth Pattern and Infiltrative Microscopic Tumor Border Status Is a Novel Surrogate Marker of Poor Prognosis in Patients With Pancreatic Neuroendocrine Tumor

CONTEXT.—

Pancreatic neuroendocrine tumors (PanNETs) are heterogeneous tumors with a wide range of malignant potential. Therefore, identification of prognostic factors is essential.

OBJECTIVE.—

To systematically assess the significance of tumor border, a well-known prognostic indicator in other cancers, in PanNETs.

DESIGN.—

We evaluated the macroscopic growth pattern (expansile [Exp] versus infiltrative [Inf]) and the microscopic tumor border (pushing [Pus] versus Inf) of 203 surgically resected PanNETs and compared them with other clinicopathologic factors.

RESULTS.—

Based on macroscopic growth pattern, 83 cases had Exp patterns whereas 84 had Inf patterns. According to microscopic tumor border, 122 PanNETs had Pus borders whereas 81 had Inf borders. Combining macroscopic growth pattern and microscopic tumor border, 65 PanNETs had Exp/Pus, 34 had Inf/Pus, 18 had Exp/Inf, and 50 had Inf/Inf status. PanNETs with Inf/Inf status were associated with higher tumor grade, pT classification, and American Joint Committee on Cancer stage grouping; lymph node metastasis; and lymphovascular and perineural invasions (all P < .001). Patients with PanNET having Inf/Inf status had significantly shorter overall survival (OS) and recurrence-free survival (RFS; all P < .001). Further, using multivariate analysis, Inf/Inf status was identified as an independent poor prognostic factor of OS (P = .02) and RFS (P = .03).

CONCLUSIONS.—

In summary, combined Inf/Inf status was observed in approximately 25% of PanNETs and was associated with aggressive biological behavior and short OS and RFS. Therefore, assessing combined macroscopic growth pattern and microscopic tumor border can provide additional information regarding survival and recurrence in PanNET patients.

Development of a novel predictive model for lymph node metastasis in patients with endometrial endometrioid carcinoma

BACKGROUND

Globally, the burden of endometrial endometrioid carcinoma (EEC) increases annually. However, the histological grade of EEC remains unelucidated. We developed a novel model for predicting lymph node metastasis (LNM) in patients with endometrioid carcinoma (EC), which has not been well established.

METHODS

A total of 344 patients with EEC were classified into training (n = 226) and validation (n = 118) cohorts. To develop a nomogram to predict LNM, independent predictors were defined using univariate and multivariate regression analyses. The calibration curve, area under the decision curve analysis (DCA), and receiver operating characteristic curve were used to evaluate the performance of the nomogram.

RESULTS

Independent predictors of LNM in EC were identified in the univariate analysis, including mitosis; microcystic, elongated, and fragmented patterns; lymphovascular invasion (LVI); necrosis; and high-grade pattern. Mitosis, LVI, and high-grade pattern remained independent predictors of LNM in multivariate analysis. An LNM nomogram that was constructed by incorporating the five predictors showed reliable discrimination and calibration. DCA showed that the LNM nomogram scoring system had significant clinical application value. In addition, a high nomogram score (score > 150) was a significant prognosticator for survival in both LNM-positive and LNM-negative ECs.

CONCLUSIONS

Our novel predictive model for LNM in patients with EC has the potential to assist surgeons in making optimal treatment decisions.

Using Silva pattern system to predict prognosis and plan treatment of invasive endocervical adenocarcinoma: a single-center retrospective analysis

BACKGROUND

This study evaluated the prognostic value of the Silva pattern system for invasive endocervical adenocarcinoma (EAC) by analysing its association with clinical and pathological features to provide more appropriate clinical management.

METHODS

A retrospective analysis including 63 patients with pathological diagnosis of invasive EAC was performed from March 2011 to December 2016 at our hospital. All pathological slides were reviewed by three senior pathologists, and cases were stratified into patterns A, B, or C by consensus according to the Silva pattern system criteria. Clinicopathological characteristics and follow-up of the three Silva subgroups were analysed.

RESULTS

Silva A, B, and C EAC patients were compared based on tumour size, clinical stage, lymphovascular invasion (LVI), and depth of invasion (DOI). The differences were found to be statistically significant (p < 0.01). There was no statistically significant difference in the proportion of lymph node metastasis among the three groups (p > 0.05) or in the recurrence and mortality rates of patients with Silva A, B, and C EAC (p > 0.05). Single factor analysis showed that tumour size, clinical stage, lymph node metastasis, LVI, and DOI were related to postoperative recurrence, whereas age, Silva classification, and postoperative recurrence were not correlated.

CONCLUSION

The Silva classification system can predict lymph node status and prognosis of invasive EAC, but it cannot be used as an independent indicator. Individualized treatment plans should be adopted for patients with EAC.

Silva cumulative score and its relationship with prognosis in Endocervical adenocarcinoma

Background

The Silva system has been demonstrated to have a good predictive value of lymph node metastasis (LNM) in endocervical adenocarcinoma (EAC). Tumours were classified based on the highest identified pattern of invasion in this system, this may not exactly reflect the true situation when it presents with a “mixed pattern” in some cases. Recent study has shown that patients with lymphovascular invasion (LVI) have worse prognosis in EAC. Here we design a Silva cumulative score (SCS) system which also combined the LVI status to explore its prognostic role in EAC patients.

Methods

A total of 120 patients with EAC were included in this study. Clinicopathological characteristics were retrospectively retrieved from the medical records and follow-up data were obtained. The clinicopathological information included age at diagnosis, depth of invasion (DOI), LNM, LVI, Silva classification, and SCS. SCS is a classification system based on the sum score of different Silva pattern which is founded on morphological phenomena. The relationships between the pathological characteristics and prognoses were analyzed.

Results

According to the Silva system, 11 (9.2%), 22 (18.3%) and 87 (72.5%) patients had patterns A, B, and C, respectively. Patients with pattern C had the highest incidence of LVI and LNM (p < 0.05). Although the Kaplan-Meier curves demonstrated that survival decreased with increasing Silva classification for A-C cancers, there was no statistically significant difference [disease-free survival (DFS): p = 0.181; overall survival (OS): p = 0.205]. There were 45 cases presented as mixed-type of Silva patterns. According to the SCS, 23 cases (19.2%) were rated as grade I, 31 cases (25.8%) as grade II and 66 (55.0%) cases as grade III. Patients with SCS grade III had the highest incidence of LVI and LNM (p < 0.05). Kaplan–Meier analysis revealed that patients with higher SCS had significantly shorter DFS and OS than those with lower SCS (p < 0.05). High SCS was an independent predictor of poorer OS and DFS (p < 0.05) in patients with EAC.

Conclusions

The application of the Silva system could effectively predict the LNM of patients and may be helpful in selecting an appropriate surgical procedure. The SCS system we designed showed a good predictive value for DFS and OS in EAC.

Dataset for the Reporting of Carcinoma of the Cervix: Recommendations From the International Collaboration on Cancer Reporting (ICCR)

Cervical carcinoma remains one of the most common cancers affecting women worldwide, despite effective screening programs being implemented in many countries for several decades. The International Collaboration on Cancer Reporting (ICCR) dataset for cervical carcinoma was first developed in 2017 with the aim of developing evidence-based standardized, consistent and comprehensive surgical pathology reports for resection specimens. This 4th edition update to the ICCR dataset on cervical cancer was undertaken to incorporate major changes based upon the updated International Federation of Obstetricians and Gynecologists (FIGO) staging for carcinoma of the cervix published in 2018 and the 5th Edition World Health Organization (WHO) Classification of Female Genital Tumors published in 2020 and other significant developments in pathologic aspects of cervical cancer. This updated dataset was developed by a panel of expert gynecological pathologists and an expert gynecological oncologist, with a period of open consultation. The revised dataset includes "core" and "noncore" elements to be reported; these are accompanied by detailed explanatory notes and references providing the rationale for the updates. Standardized reporting using datasets such as this helps facilitate consistency and accuracy, data collection across different sites and comparison of epidemiological and pathologic parameters for quality and research purposes.

A novel Silva pattern-based model for precisely predicting recurrence in intermediate-risk cervical adenocarcinoma patients

Background

Considering the unique biological behavior of cervical adenocarcinoma (AC) compared to squamous cell carcinoma, we now lack a distinct method to assess prognosis for AC patients, especially for intermediate-risk patients. Thus, we sought to establish a Silva-based model to predict recurrence specific for the intermediate-risk AC patients and guide adjuvant therapy.

Methods

345 AC patients were classified according to Silva pattern, their clinicopathological data and survival outcomes were assessed. Among them, 254 patients with only intermediate-risk factors were identified. The significant cutoff values of four factors (tumor size, lymphovascular space invasion (LVSI), depth of stromal invasion (DSI) and Silva pattern) were determined by univariate and multivariate Cox analyses. Subsequently, a series of four-, three- and two-factor Silva-based models were developed via various combinations of the above factors.

Results

(1) We confirmed the prognostic value of Silva pattern using a cohort of 345 AC patients. (2) We established Silva-based models with potential recurrence prediction value in 254 intermediate-risk AC patients, including 12 four-factor models, 30 three-factor models and 16 two-factor models. (3) Notably, the four-factor model, which includes any three of four intermediate-risk factors (Silva C, ≥ 3 cm, DSI > 2/3, and > mild LVSI), exhibited the best recurrence prediction performance and surpassed the Sedlis criteria.

Conclusions

Our study established a Silva-based four-factor model specific for intermediate-risk AC patients, which has superior recurrence prediction performance than Sedlis criteria and may better guide postoperative adjuvant therapy.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12905-022-01971-z.

Use of Nomogram to Predict the Risk of Lymph Node Metastasis among Patients with Cervical Adenocarcinoma

Background

The objective of this study was to develop a nomogram that can predict lymph node metastasis (LNM) in patients with cervical adenocarcinoma (cervical AC).

Methods

A total of 219 patients with cervical AC who had undergone radical hysterectomy and lymphadenopathy between 2005 and 2021 were selected for this study. Both univariate and multivariate logistic regression analyses were performed to analyze the selected key clinicopathologic features and develop a nomogram and underwent internal validation to predict the probability of LNM.

Results

Lymphovascular invasion (LVI), tumor size ≥ 4 cm, and depth of cervical stromal infiltration were independent predictors of LNM in cervical AC. However, the Silva pattern was not found to be a significant predictor in the multivariate model. The Silva pattern was still included in the model based on the improved predictive performance of the model observed in the previous studies. The concordance index (C-index) of the model increased from 0.786 to 0.794 after the inclusion of the Silva pattern. The Silva pattern was found to be the strongest predictor of LNM among all the pathological factors investigated, with an OR of 4.37 in the nomogram model. The nomogram developed by incorporation of these four predictors performed well in terms of discrimination and calibration capabilities (C - index = 0.794; 95% confidence interval (CI), 0.727-0.862; Brier score = 0.127). Decision curve analysis demonstrated that the nomogram was clinically effective in the prediction of LNM.

Conclusion

In this study, a nomogram was developed based on the pathologic features, which helped to screen individuals with a higher risk of occult LNM. As a result, this tool may be specifically useful in the management of individuals with cervical AC and help gynecologists to guide clinical individualized treatment plan.

[Revised German guidelines on the diagnosis and treatment of carcinoma of the uterine cervix-what's new for pathologists in 2021?]

In 2021, the 2015 German consensus guideline for the diagnosis and treatment of uterine cervical carcinoma was updated. The present article summarises the new recommendations for pathologists: the incorporation of the International Endocervical Adenocarcinoma Classification (IECC), which morphologically separates HPV-associated and non-HPV-associated adenocarcinomas, as well as the reporting of the prognostic relevant growth pattern of the adenocarcinoma of the endocervical subtype (Silva pattern). Histologically, multifocality has been defined as the presence of clearly invasive foci with a minimum distance between each focus of 0.2 cm. Because of its intratumoural heterogeneity, all carcinomas ≤ 2 cm in their largest dimension should be processed completely, and tumours > 2 cm should be processed with one block per centimetre of their greatest dimension. In cases of (radical) trachelectomy/hysterectomy, the distal vaginal resection margin and all parametrial tissue should be processed completely. Sentinel lymph nodes have to be processed completely by lamellation along its long axis in 0.2 cm intervals. Immunohistochemical ultrastaging is mandatory. Staging should be performed using the 2009 FIGO classification and 2017 TNM classification. Reporting the revised 2018 FIGO classification is optional. To date, molecular markers have not been relevant for prognostication and treatment decision making.

Tumoral Morphologic Features From Cervical Biopsies That Are Predictive of a Negligible Risk for Nodal Metastasis and Tumor Recurrence in Usual-type Cervical Adenocarcinomas: A Multi-institutional Study

The metastatic or recurrent potential of localized human papillomavirus-associated endocervical adenocarcinoma (HPVA EAC) is difficult to predict, especially based upon biopsy alone. Recent analyses of small cohorts indicate that high tumor nuclear grade (TNG) and the presence of necrotic tumor debris (NTD) from HPVA EACs in cervical biopsy specimens are highly predictive of nodal metastasis (NM). In the present study, we aimed to investigate how reliably tumoral morphologic features from cervical biopsy specimens predict NM or tumor recurrence (TR) and patient outcomes in a large cohort of endocervical adenocarcinoma patients. A cohort comprised of 397 patients with HPVA EAC treated at 18 institutions was identified, and cervical biopsies were paired with their associated complete tumor resections for a total of 794 specimens. A variety of tumoral histologic features were examined for each paired specimen, including TNG (assessed on a 3-tiered scale of increasing abnormalities-TNG1, TNG2, TNG3) and NTD (defined by the presence of necrotic and apoptotic tumor cells within tumor glandular lumens admixed with granular and eosinophilic amorphous material and inflammatory cells), which were correlated with outcomes. The distribution of TNG in biopsies was as follows: 86 (21.7%) TNG1, 223 (56.2%) TNG2, and 88 (22.2%) TNG3. NTD was identified in 176 (44%) of the biopsy specimens. The sensitivity, specificity, positive predictive value, and negative predictive value of a TNG1 assignment in the biopsy being predictive of the same assignment in the full resection were 0.82 (95% confidence interval [CI]: 0.7-0.9), 0.895 (0.86-0.93), 0.593 (0.48-0.696), and 0.96 (0.94-0.98), respectively. Respective values for an NTD-negative status were 0.89 (95% CI: 0.83-0.92), 0.715 (0.64-0.77), 0.72 (0.65-0.77), and 0.89 (0.83-0.93), respectively. Compared with the other cases in each category, both TNG1 and an NTD-negative status were each significantly associated with lower rates of NM (odds ratio for TNG1=0.245, 95% CI: 0.070-0.857, P=0.0277; for NTD=0.199, 95% CI: 0.094-0.421, P<0.0001) and TR (odds ratio for TNG1=0.225, 95% CI: 0.051-0.987, P=0.0479; for NTD=0.367, 95% CI: 0.171-0.786, P=0.0099) independent of depth of stromal invasion, lymphovascular invasion, tumor size, FIGO stage, and Silva pattern. Overall, 73/379 (19%) cases were both TNG1 and NTD-negative on the biopsy, and none of these 73 cases showed NM (0%), but a single case (1.4%) showed TR. In contrast, among the 324 biopsies with TNG2/3 and/or presence of NTD, 62 (19.1%) had NM, and 41 (12.9%) had TR. In summary, 2 variables in combination (ie, TNG1 and NTD-negative) identified a subset of HPVA EAC patients-∼19%-with a 0% frequency of nodal metastases and only 1.4% frequency of recurrence. Biopsies highly but imperfectly predicted these features. Nonetheless, these findings may potentially be of clinical utility in the risk stratification of patients with HPVA EACs. This may allow some patients with a minimal risk of nodal metastases and TR to be identified at the biopsy phase, thereby facilitating more personalized, possibly less aggressive treatment.

Clinical, Morphologic, and Molecular Features Associated With Ovarian Metastases From Pattern A Endocervical Adenocarcinomas

Ovarian metastases from endocervical adenocarcinomas (EAs) are rare but well-described. Silva Pattern A tumors have been reported to pose essentially no risk of lymph node metastases or recurrence. We describe a cohort of patients with Silva Pattern A EAs with ovarian metastases, as well as involvement of other sites. Eight pattern A EAs with ovarian metastases (4 synchronous, 4 metachronous) were identified from our institution's pathologic archives (2008-2021). Clinicopathologic and molecular features for each case were recorded. All patients were treated by hysterectomy; in each case, the entire tumor was submitted for histologic evaluation. The synchronous metastases were all clinically suspected to be ovarian primary tumors; EAs with metachronous ovarian involvement were confined to the uterus at initial diagnosis, with ovarian metastasis occurring 5 to 171 months after hysterectomy. Morphologically, all tumors were predominantly gland-forming, 5/8 (63%) displayed prominent mucinous differentiation, and 5/8 (63%) involved the corpus. All EAs were either noninvasive (exophytic/papillary/more complex than adenocarcinoma in situ) or showed nondestructive cervical stromal invasion to a depth of 5 mm or less. In the 5 tumors tested by next-generation sequencing, ARID1A, GNAS, and KRAS mutations were detected in 2 (40%), 3 (60%), and 4 (80%) cases, respectively. All 6 patients with follow-up (range, 32 to 181 mo; median, 99.5 mo) had at least 1 recurrence. All but one are without evident disease at last clinical assessment. In an otherwise typical Silva Pattern A EA, corpus involvement, mucinous differentiation, and certain gene mutations may be associated with risk for synchronous or metachronous ovarian metastases.

Grading of endocervical adenocarcinoma: a novel prognostic system based on tumor budding and cell cluster size

A novel 3-tiered grading system based on tumor budding activity and cell nest size has been validated to be highly prognostic in organ-wide squamous cell carcinomas. In this study, we applied a similar grading system with slight modification to assess the prognostic value in an institutional cohort of well annotated endocervical adenocarcinomas (EAC) consisting of 398 consecutive cases with surgical resection, no neoadjuvant chemotherapy, and higher than stage pT1a. Each case was reviewed by the International Endocervical Adenocarcinoma Criteria and Classification (IECC) and Silva pattern classification, and scored on tumor budding activity and cell cluster size to form the basis of a novel grading system. High budding activity, small tumor cell cluster size, and novel grade 3 were more frequently associated with a decreased overall survival time and tumor recurrence time (p < 0.001), and several other clinicopathologic factors including HPV-independent adenocarcinoma, lymphovascular invasion, lymph node metastasis, advanced FIGO stage, and Silva pattern C (p < 0.05). Moreover, the novel grading system was helpful in stratifying overall survival in HPV-associated adenocarcinoma (p = 0.036) and gastric-type adenocarcinoma (p = 0.033). On multivariate analysis, novel grade 3 was an adverse indicator for overall survival and tumor recurrence independently of age and FIGO stage (p < 0.05). By comparison, Silva pattern C was only associated with tumor relapse (p = 0.020) in HPV-associated adenocarcinomas whereas the conventional FIGO system was not associated with overall survival and tumor recurrence in EAC (p > 0.05). In conclusion, our study demonstrates that the grading system based on tumor budding activity and cell cluster size is robust in prognostic assessment that outperforms the conventional FIGO grading and Silva pattern classification in EAC. The novel grading system, if further validated, could be applicable in routine pathologic descriptions of EAC by providing useful information in clinical decision-making.

Independent validation of distinct clinicopathological features and prognosis among usual-type, mucinous-type and gastric-type endocervical adenocarcinoma categorised by new WHO classification (2020)

The new World Health Organization (WHO) classification of tumours of the female genital tract (2020) divides endocervical adenocarcinoma (EAC) into human papilloma virus (HPV)-related adenocarcinoma (HPVA) and HPV-independent adenocarcinoma (HPVI) to underscore the morphological and pathogenetic correlation. It may be potentially prognostic. In this study, we appraised the new WHO classification in an independent, single institution-based EAC cohort from China to assess the clinicopathological features and prognostic value among tumour types. Our study cohort contained 402 consecutive, surgically excised EACs consisting of 298 (74.1%) HPVA, 88 (21.9%) HPVI and 16 (4%) adenocarcinomas not otherwise specified (NOS). Usual-type (55.7%) and gastric-type adenocarcinoma (GAC) (18.2%) was the most common type in HPVA and HPVI, respectively. Block p16 staining (94.7% vs 24.4%) and HPV mRNA signal (89.4% vs 0) were more common in HPVA than in HPVI (p<0.001). HPVI or GAC were more frequently associated with prognostically adverse variables including old age, large tumour size, deep invasion of the cervical wall, high tumour stage, spread of the upper genital tract, lymphovascular invasion, and mutant-type p53 expression, compared to HPVA or mucinous/usual-type HPVA, respectively (all p<0.001). In univariate survival analysis, HPVI had a worse overall survival and higher tumour recurrence compared to HPVA (p<0.05). Mucinous-type HPVA showed a worse prognosis than usual-type HPVA, but better than GAC (p<0.001). Multivariate survival analysis demonstrated that HPVI was independently associated with a worse overall survival and tumour recurrence (p<0.05) while GAC was an adverse prognostic factor independently of FIGO stage (p<0.05). Our findings validate the value of the new WHO classification in prognostic stratification and pathogenetic correlation in EAC and its subtypes.

Prognostic significance of intra-tumoral budding in high-grade serous ovarian carcinomas

Intra-tumoral budding (ITB) has been well demonstrated to be an independent risk factor for adverse outcomes in colorectal carcinoma. This study investigated the prognostic significance of ITB in high-grade serous ovarian carcinomas (HGSOCs). The medical records and slides of 84 SOCs, including 13 with neoadjuvant chemotherapy (NAC), were retrospectively reviewed. The histopathologic examination with scoring of p53 expression showed them to be 80 HGSOCs and 4 low-grade serous ovarian carcinomas (LGSOCs). ITB was found in 64 (80.0%) of the 80 HGSOCs and 1 (25.0%) of 4 LGSOCs. The presence of ITB in HGSOC was significantly correlated with a higher level of CA125, an advanced 2014 FIGO stage, the presence of Lymph node metastasis, and the presence of lymphovascular space invasion (LVSI). The median progression-free survival (PFS) was 18 months in patients with HGSOC with ITB and 36 months in patients with HGSOC without ITB (P = 0.006), and their median overall survival (OS) was 50 months and 60 months (P = 0.060). The multivariate analysis revealed that ITB was not an independent prognostic factor. ITB is a cost-effective prognostic indicator for patients with HGSOC and ITB in ovarian tumor tissue is considered a useful histological biomarker of the progression of HGSOCs.

A meta-analysis of XRCC1 single nucleotide polymorphism and susceptibility to gynecological malignancies

BACKGROUND

Gynecological malignant tumor is a serious threat to women's health, cervical cancer, endometrial cancer and ovarian cancer are the most common. The eponymous protein encoded by the XRCC1 (X-ray repair cross complementation 1) gene is an important functional protein in the process of single-stranded DNA damage. Non-synonymous mutations of XRCC1 gene cause amino acid sequence changes that affect protein function and DNA repair ability, and may affect the interaction with other DNA repair proteins, leading to increased risk of tumor development. Many studies have assessed the association between XRCC1 gene polymorphism and the risk of cancer in the female reproductive system, but the results have been inconclusive. In this study, the relationship between XRCC1 Arg399Gln, Arg194Trp, Arg280His single nucleotide polymorphisms and susceptibility to gynecological malignancies was further explored by meta-analysis.

METHODS

English database: Pubmed, Medline, Excerpta Medica Database, Cochrance, etc; Chinese database: China national knowledge infrastructure, Wanfang Database, etc. STATA14 was used for statistical analysis, such as odd ratio (OR) value, subgroup analysis, heterogeneity test, sensitivity analysis, and publication bias.

RESULTS

In gynecologic cancers, the allele frequency difference of Arg399Gln case control group was statistically significant (GvsA: P = .007). There was no significant difference in allele frequency in the Arg194Trp and Arg280His case control groups (P = .065, 0.198). In different gene models, Arg399Gln was significantly correlated with gynecologic cancers susceptibility (GGvs AA: OR 0.91; 95% confidence interval [CI], 0.85 0.98); Arg194Trp was significantly correlated with gynecologic cancers susceptibility (CCvs TT: OR 0.94; 95% CI 0.88,1.00; CCvs CT: OR 0.97; 95% CI 0.90, 1.05); Arg280His was significantly correlated with gynecologic cancers susceptibility (GGvs AA: OR 0.98; 95% CI 0.94, 1.02; GGvs GA: OR 1.00;95% CI 0.97, 1.04). In the subgroup analysis, Arg399Gln and Arg194Trp were significantly correlated with gynecologic cancers susceptibility in the Asian race (P = .000, 0.049). In the analysis of different cancer subgroups, Arg399Gln and cervical cancer susceptibility were statistically significant (P = .039). Arg194Trp and endometrial cancer susceptibility were statistically significant (P = .033, 0.001).

CONCLUSIONS

XRCC1 Arg399Gln, Arg194Trp, Arg280His single nucleotide polymorphisms were associated with gynecologic cancer susceptibility. Arg399Gln genotype was statistically significant in relation to cervical cancer susceptibility. Arg194Trp genotype was statistically significant in relation to endometrial cancer susceptibility.

International Endocervical Adenocarcinoma Criteria and Classification (IECC): An Independent Cohort With Clinical and Molecular Findings

Recently, the International Endocervical Adenocarcinoma Criteria and Classification (IECC) has reorganized the classification of endocervical adenocarcinomas (ECAs), separating them into human papilloma virus (HPV)-associated (HPVA) and HPVA independent (HPVI) categories. In this study, we sought to revalidate the IECC clinical findings in an independent cohort and assess the mutational differences between HPVA and HPVI ECAs using next generation sequencing. Consecutive cases of ECAs were reclassified under the IECC. Clinicopathologic information was collected and tissue was sent for targeted next-generation sequencing in 33 genes. Associations between HPV status, clinicopathologic parameters and mutation status, with survival were evaluated. The series comprised of 85/100 HPVA (63 HPVA-usual type, 4 villoglandular, 3 mucinous intestinal, 15 mucinous not otherwise specified) and 15/100 HPVI (9 gastric, 4 mesonephric, 1 clear cell, 1 not otherwise specified). HPVA ECAs presented at a lower age (P=0.001), smaller tumor sizes (P=0.011), less margin positivity (P=0.027), less Silva pattern C (P=0.002), and lower FIGO stages (P=0.020). HPVA had superior survival compared with HPVI ECA [overall survival (P=0.0026), disease-specific survival (P=0.0092), and progression-free survival (P=0.0041)]. Factors that correlated with worse prognosis irrespective of HPV status were FIGO stage, positive margins and lymphovascular invasion (P<0.05). TP53 mutations were detected in a significantly higher proportion of HPVIs than HPVAs (P<<0.001). The study revalidates the IECC system by reaffirming the clinical and prognostic differences between HPVA and HPVI ECAs in an independent dataset.

2020 WHO Classification of Female Genital Tumors

The 2020 WHO classification is focused on the distinction between HPV-associated and HPV-independent squamous cell carcinoma of the lower female genital organs. Differentiating according to HPV association does not replace the process of grading; however, the WHO classification does not recommend any specific grading system. VIN are also differentiated according to whether they are HPV(p16)-associated. HPV-independent adenocarcinoma (AC) of the cervix uteri has an unfavorable prognosis. Immunohistochemical p16 expression is considered to be a surrogate marker for HPV association. HPV-associated AC of the cervix uteri is determined using the prognostically relevant Silva pattern.

Identification of clinical trait-related small RNA biomarkers with weighted gene co-expression network analysis for personalized medicine in endocervical adenocarcinoma

Endocervical adenocarcinoma (EAC) is an aggressive type of endocervical cancer. At present, molecular research on EAC mainly focuses on the genome and mRNA transcriptome, the investigation of small RNAs in EAC has not been fully described. Here, we systematically explored small RNAs in 14 EAC patients with different subtypes using small RNA sequencing. MiRNAs and tRNA-derived RNAs (tDRs) accounted for the majority of mapped reads and the total number of miRNAs and tDRs maintained a relative balance. To explore the correlations between small RNAs expression and EAC with different clinical characteristics, we performed the weighted gene co-expression network analysis (WGCNA) and screened for hub small RNAs. From the key modules, we identified 9 small RNAs that were significantly related to clinical characteristics in EAC patients. Gene ontology and pathway analyses revealed that these molecules were involved in the pathogenesis of EAC. Our work provided new insights into EAC pathogenesis and successfully identified several small RNAs as candidate biomarkers for diagnosis and prognosis of EAC.

Diagnostic Accuracy of Magnetic Resonance Imaging for International Federation of Gynecology and Obstetrics 2018 IB to IIB Cervical Cancer Staging: Comparison Among Magnetic Resonance Sequences and Pathologies

OBJECTIVE

This study aimed to investigate the most accurate magnetic resonance (MR) sequence for tumor detection, maximal tumor diameter, and parametrial invasion compared with histopathologic diagnoses.

METHODS

Fifty-one patients with International Federation of Gynecology and Obstetrics 2018 IB1 to IIB cervical cancer underwent preoperative MR imaging and surgical resection. Two radiologists independently evaluated the tumor detection, parametrial invasion, and tumor size in each of T2-weighted image, diffusion-weighted image, and contrast-enhanced T1-weighted image. Results obtained for squamous cell carcinoma (SCC) and adenocarcinoma were also compared.

RESULTS

Neither the tumor detection rate nor parametrial invasion was found to be significantly different among sequences. Tumor size assessment using MR imaging with pathology showed good correlation: r = 0.63-0.72. The adenocarcinoma size tended to be more underestimated than SCC in comparison with the pathologic specimen.

CONCLUSIONS

Cervical cancer staging by MR images showed no significant difference among T2-weighted image, diffusion-weighted image, and contrast-enhanced T1-weighted image. Adenocarcinoma was prone to be measured as smaller than the pathologic specimen compared with SCC.

NCCN Guidelines Insights: Cervical Cancer, Version 1.2020

The NCCN Guidelines for Cervical Cancer provide recommendations for diagnostic workup, staging, and treatment of patients with the disease. These NCCN Guidelines Insights focus on recent updates to the guidelines, including changes to first- and second-line systemic therapy recommendations for patients with recurrent or metastatic disease, and emerging evidence on a new histopathologic classification system for HPV-related endocervical adenocarcinoma.

Intratumoral budding: A novel prognostic biomarker for tumor recurrence and a potential predictor of nodal metastasis in uterine cervical cancer

OBJECTIVE

To evaluate the prognostic and predictive significance of lymphovascular invasion (LVI) and lymph node metastasis of intratumoral budding (ITB) and its correlation with clinicopathological parameters in patients with cervical cancer.

METHODS

Total 151 patients with cervical cancer who underwent radical hysterectomy with pelvic and/or paraaortic lymphadenectomy were included. We assessed the status of ITB and peritumoral budding (PTB) in all available hematoxylin and eosin-stained specimens. Univariate and multivariate analyses were performed for ITB, PTB, and other clincopathological parameters as predictors of recurrence.

RESULTS

ITB^high (≥3TB/HPF) was significantly associated with large tumor size, deep stromal invasion, LVI, parametrial invasion, and lymph node metastasis. The numbers of ITBs and PTBs were positively correlated (r² = 0.754, p < 0.0001). ITB^high was more frequently observed in squamous cell carcinoma compared with adenocarcinoma and adenosquamous cell carcinoma (p = 0.010). ITB^high was found to be an independent prognostic factor for tumor recurrence by multivariate analysis (hazard ratio, 1.92; 95% confidence interval [CI], 1.37-9.90; p = 0.026). Multiple logistic regression showed association of LVI (odds ratio [OR], 1.85; 95% CI, 1.11-3.06; p = 0.017) and lymph node metastasis (OR, 1.96; 95% CI, 1.26-4.66; p = 0.019).

CONCLUSION

ITB^high is an independent prognostic factor for tumor recurrence. ITB is a surrogate marker for predicting LVI in cervical cancers. The evaluation of ITB may be readily applied in the clinical setting for improved prognosis and to guide the clinical management of patients with cervical cancer.

Radical vaginal trachelectomy

Radical vaginal trachelectomy (RVT) is the oldest fertility-sparing procedure for stage 1b cervical cancer. For that reason, there are more published data for RVT than for all the other radical trachelectomy approaches. However, there are no randomised controlled studies between RVT and radical hysterectomy proving the comparability of survival and no randomised controlled studies comparing a vaginal approach with open, standard laparoscopy and robotic approaches. This article intends to describe the case selection, the procedure and outcomes for RVT.

Incidence, clinical risk and prognostic factors for liver metastasis in patients with cervical cancer: a population-based retrospective study

BACKGROUND

Cervical cancer is one of the most frequent malignancies in women, particularly metastasis resulting in a poor prognosis. However, the clinical characteristics of cervical cancer patients with advanced liver metastasis have not been well investigated. We aimed to evaluate the incidence, clinical risk and prognostic factors for hepatic metastasis in cervical cancer patients.

MATERIALS AND METHODS

The clinical features of patients diagnosed with cervical cancer were collected from the Surveillance, Epidemiology and End Result (SEER) public cancer database between 2010 and 2015. Multivariate logistic and Cox regression models were performed to identify potential risk and prognostic factors for liver metastasis in patients with cervical cancer.

RESULTS

A total of 431 patients (2.32%) developed liver metastasis in our analysis. The following characteristics were significantly associated with the development of liver metastasis: black ethnicity, uninsured status, higher tumor stage, poorer differentiated grade, non-squamous histology, non-surgery of primary site, patients with any additional lung, bone, and brain metastasis. Multivariate Cox regression showed that patients with additional lung metastasis, without radiotherapy, and without chemotherapy were negatively correlated with overall survival. Concurrent chemotherapy and radiotherapy was a favorable prognostic factor to improve overall survival, and chemotherapy showed to increase cause-specific survival. Additional lung metastasis was an independent characteristic for both risk and prognostic factors for hepatic metastasis in patients with cervical cancer.

CONCLUSION

Our results found several potential clinical features that may be used to assess the risk and prognosis of liver metastasis in patients with cervical cancer. These associated factors may provide clinical indications for the early identification and treatment of cervical cancer patients with hepatic metastasis.

[Current WHO classification of the female genitals : Many new things, but also some old]

The new WHO classification of tumors of the female genitalia entails some changes, especially those of prognostic and therapeutic relevance: there is a return to the term borderline tumor. Implants are again subdivided into noninvasive implants of the epithelial or desmoplastic type as before. Invasive extraovarian implants are classified as low-grade serous carcinoma (LGSC). Former seromucinous carcinomas are now classified as endometrioid carcinomas (seromucinous subtype). New entities of ovarian carcinomas are mesonephric-like adenocarcinoma, undifferentiated and dedifferentiated carcinoma, and mixed carcinoma. The classification of neuroendocrine neoplasms is analogous to that of pulmonary and gastrointestinal neuroendocrine neoplasms, regardless of their location. Endometrioid endometrial carcinoma can be classified into four molecular subtypes, which have significant prognostic significance. New subtypes include mucinous carcinoma of the intestinal type and mesonephric-like adenocarcinoma. Stromasarcomas of the endometrium are further subclassified based on specific molecular alterations. Adenocarcinomas (ACs) and squamous cell carcinomas (PECs) of the lower female genital tract are distinguished from HPV-associated and HPV-independent carcinomas. Block-like staining for p16 is the accepted surrogate immunohistochemical marker. Grading has not been reported for PEC. For HPV-associated AC of the cervix uteri, prognostic assessment is based on the pattern of invasion (so-called Silva pattern). Serous carcinomas in the cervix uteri are endometrial carcinomas with cervical infiltration.

Online Training and Self-assessment in the Histopathologic Classification of Endocervical Adenocarcinoma and Diagnosis of Pattern of Invasion: Evaluation of Participant Performance

Histopathologic classification of endocervical adenocarcinomas (EAC) has recently changed, with the new system based on human papillomavirus (HPV)-related morphologic features being incorporated into the 5th edition of the WHO Blue Book (Classification of Tumours of the Female Genital Tract). There has also been the introduction of a pattern-based classification system to assess invasion in HPV-associated (HPVA) endocervical adenocarcinomas that stratifies tumors into 3 groups with different prognoses. To facilitate the introduction of these changes into routine clinical practice, websites with training sets and test sets of scanned whole slide images were designed to improve diagnostic performance in histotype classification of endocervical adenocarcinoma based on the International Endocervical Adenocarcinoma Criteria and Classification (IECC) and assessment of Silva pattern of invasion in HPVA endocervical adenocarcinomas. We report on the diagnostic results of those who have participated thus far in these educational websites. Our goal was to identify areas where diagnostic performance was suboptimal and future educational efforts could be directed. There was very good ability to distinguish HPVA from HPV-independent adenocarcinomas within the WHO/IECC classification, with some challenges in the diagnosis of HPV-independent subtypes, especially mesonephric carcinoma. Diagnosis of HPVA subtypes was not consistent. For the Silva classification, the main challenge was related to distinction between pattern A and pattern B, with a tendency for participants to overdiagnose pattern B invasion. These observations can serve as the basis for more targeted efforts to improve diagnostic performance.

The Silva Pattern-based Classification for HPV-associated Invasive Endocervical Adenocarcinoma and the Distinction Between In Situ and Invasive Adenocarcinoma: Relevant Issues and Recommendations From the International Society of Gynecological Pathologists

The Silva pattern-based classification for human papilloma virus-associated invasive adenocarcinoma has emerged as a reliable system to predict risk of lymph node metastasis and recurrences. Although not a part of any staging system yet, it has been incorporated in synoptic reports as established by the College of American Pathologists (CAP) and the International Collaboration on Cancer Reporting (ICCR). Moreover, the current National Comprehensive Cancer Network (NCCN) guidelines include this classification as an "emergent concept." In order to facilitate the understating and application of this new classification by all pathologists, the ISGyP Endocervical Adenocarcinoma Project Working Group presents herein all the current evidence on the Silva classification and aims to provide recommendations for its implementation in practice, including interpretation, reporting, and application to biopsy and resection specimens. In addition, this article addresses the distinction of human papilloma virus-associated adenocarcinoma in situ and gastric type adenocarcinoma in situ from their invasive counterparts.

Cervical adenocarcinoma: integration of HPV status, pattern of invasion, morphology and molecular markers into classification

Cervical adenocarcinoma is a heterogenous group of tumours with various aetiologies, molecular drivers, morphologies, response to treatment and prognosis. It has become evident that human papillomavirus (HPV) infection does not drive all adenocarcinomas, and appropriate classification is critical for patient management, especially in the era of the HPV vaccine and HPV-only screening. Identified as one of the most important developments in gynaecological pathology during the past 50 years, the separation of cervical adenocarcinomas into HPV-associated (HPVA) and HPV-independent has resulted in a transformation of the classification system for cervical adenocarcinomas. HPVA has been traditionally subclassified by morphology, such as usual type (UEA), mucinous and villoglandular, etc. However, it has become evident that cell type-based histomorphological classification is not clinically meaningful, and the newly proposed International Endocervical Adenocarcinoma Criteria and Classification (IECC) is a necessary and relevant break from this prior system. Non-HPV-associated adenocarcinomas can be divided by their distinct morphology and molecular genomics with very different responses to standard therapies and potential for future targeted therapies. These include gastric-type, clear-cell, mesonephric and endometrioid adenocarcinomas. So-called 'serous' carcinomas of the cervix probably represent morphological variants of UEA or drop metastases from uterine or adnexal serous carcinomas, and the existence of true cervical serous carcinomas is in question. This review will discuss the advances since WHO 2014, and how HPV status, pattern of invasion as described by Silva and colleagues, histological features and molecular markers can be used to refine diagnosis and prognostication for patients with cervical adenocarcinoma.

Metastases to the ovary arising from endometrial, cervical and fallopian tube cancer: recent advances

The introduction of genomic studies has enabled assessment of the clonality of synchronous tumours involving the ovary and other sites in the female genital tract in a definitive way. This has led to the abandonment of conventional approaches to primary site assignment, and the recognition that most such synchronous neoplasms are clonally related single tumours with metastatic spread, rather than independent primary tumours. These discoveries have implications for diagnostic practice, analogous to the gradual change over the last few decades in our approach to mucinous neoplasms of the ovary metastatic from the gastrointestinal tract. In this review, we first examine the routes of metastasis to the ovary, and then discuss the diagnostic and clinical implications of concurrent ovarian carcinomas arising in combination with endometrial, endocervical and tubal carcinomas. It is proposed that cases of primary low-grade endometrioid endometrial carcinoma with a secondary unilateral ovarian tumour, both with indolent characteristics, may be classified as 'FIGO stage IIIA-simulating independent primary tumours', with a comment that conservative management would be appropriate. It should be recognised that human papillomavirus-associated endocervical adenocarcinomas may result in synchronous or metachronous ovarian metastases that appear to be unrelated to the primary tumour, and that these may be managed conservatively in the absence of other sites of disease. In cases of tubo-ovarian high-grade serous carcinoma, tubal intraepithelial or contralateral adnexal involvement should count as a pelvic disease site for staging purposes.

Expanded study on the risk of lymphovascular space invasion and lymph node metastasis of endocervical adenocarcinoma using Pattern Classification: a single-centre analysis of 213 cases

A new three-tiered Pattern Classification system for usual-type endocervical adenocarcinomas (U-EACs) recommends using tumour invasive patterns rather than depth of invasion (DOI) and horizontal spread to categorise tumours. Tumours categorised by Pattern Classification are associated with lymph node (LN) metastasis and adverse outcomes. The aim of this study is to further explore the potential of Pattern Classification in surgical pathology practice. A total of 213 consecutive cases [201 U-EACs and 12 gastric-type adenocarcinomas (GACs)] diagnosed between 2006 and 2017 was retrospectively analysed. Clinicopathological data included age at diagnosis, DOI measurement, the status of lymphovascular space invasion (LVSI) and LN metastasis, and the number of LVSI foci, dissected and metastatic LNs. Immunostaining for CD34 and D2-40 was performed to identify LVSI in 14 challenging cases. Overall, mean age at diagnosis was 51 years (range 23-75). LVSI and LN metastasis occurred in 128 (60.1%, 128/213) and 42 (20.5%, 42/205) cases, respectively. Also, 28 (13.1%), 21 (9.9%), and 164 (77.0%) patients had pattern A, B, and C tumours, respectively. Patients with pattern C tumours had the oldest age at diagnosis (p=0.007), the highest incidence of LVSI and LN metastasis, and the highest DOI (p<0.001). Due to a highly heterogeneous growth pattern, pattern C U-EACs were stratified into four subgroups: C1, C2 and C3 corresponded to solid, extensive linear destructive, and band-like lymphocytic infiltrate growth patterns, respectively, and C4 included diffuse destructive, confluent, micropapillary and mixed growth pattern. C2 and C3 subgroup tumours had lower incidence of LVSI (20% and 40%, respectively) than the other two subgroups (p<0.001). None of the patients with C2 and C3 subgroup had LN metastasis and ≥3 LVSI foci. All GACs belonged to pattern C and had deeper stromal invasion (p=0.008), higher incidence of LN metastasis (p=0.001), and larger quantity of LVSI foci (p=0.008) and metastatic LNs (p=0.004) than those of pattern C U-ECAs. Number of LVSI foci were moderately positively correlated with LN metastasis status (p<0.001, γ=0.489) or number of metastatic LNs (p<0.001, γ=0.409). Our study further supports that Pattern Classification is a system easy to follow, which has a strong correlation to LVSI and an effective predictability for LN metastasis. Extensive linear destructive and band-like lymphocytic infiltrate growth patterns in pattern C U-EACs need to be recognised, as they behave less aggressively than that for the other growth pattern subgroups. Our study supports that Pattern Classification can be routinely applied to guide therapies for patients with U-EACs.

Clinical significance of the pattern-based classification in endocervical adenocarcinoma, usual and variants

BACKGROUND

The Silva system is a pattern-based classification system that stratifies endocervical adenocarcinomas (AC) into 3 categories to assess the risk of lymph node (LN) metastasis. This study aimed to evaluate whether this novel risk stratification system is applicable to all endocervical AC, including usual and variant, and to suggest a suitable management plan for cervical AC.

METHODS

We retrospectively retrieved consecutive pathology cases with a final diagnosis of endocervical AC treated via radical hysterectomy and pelvic lymphadenectomy. Specimens were classified by consensus according to the Silva system based on "pattern of invasion" as A, B, or C, further clinical/pathologic features were assessed according to pattern-based classification.

RESULTS

A total of 76 cases of invasive cervical AC were evaluated. Of these, 63 (82.9%) were categorized as usual-type endocervical AC and 13 (17.1%) as special types. Among those with usual and variants, all patients with pattern A tumor had no LN metastasis and did not develop recurrence. Likewise, multivariate analysis revealed that LN metastasis and pattern C or B tumors are significant independent predictors of disease-free survival (DFS). Although pattern A tumors had no LN metastasis, they also developed complications after surgery, similar to pattern B or C tumors.

CONCLUSION

Regardless of histologic subtypes, pattern A tumors had no LN metastasis and no recurrence. Thus, the Silva classification system can influence the clinical management of all types of endocervical AC. Conservative management is reasonable in all patients with endocervical AC with pattern A tumors.

Cervical Glandular Neoplasia: Classification and Staging

Endocervical adenocarcinomas (EAs) account for 25% of all primary cervical carcinomas. Approximately 85% of EAs are driven by high-risk human papillomavirus (HPV) infection, the most common of which is the so-called usual type endocervical adenocarcinomas. Non-HPV-driven subtypes harbor distinct clinicopathologic features and prognosis and have been increasingly recognized in recent years, which has led to efforts to improve classification of EA based on clinically relevant and reproducible criteria. This review discusses a recently proposed classification system, the International Endocervical Adenocarcinoma Criteria and Classification, which uniquely integrates morphology, cause/pathogenesis, and biological behavior of HPV and non-HPV-driven subtypes of EA.

Study of the revisited, revised, and expanded Silva pattern system for Chinese endocervical adenocarcinoma patients

As a new pattern-based classification, the Silva pattern system has been recently developed to evaluate invasive lymph node metastasis and the prognosis of endocervical adenocarcinoma (EAC). Therefore, our study was conducted to explore the reproducibility and prognostic significance of this system in a multi-institutional Chinese cohort, with the goal of revising and expanding its application. The clinicopathological data of 191 EAC patients from 3 medical centers were examined in a retrospective manner. The Silva pattern system demonstrated great prognostic value, significance in guiding treatment selection, and acceptable reproducibility in 191 patients that included additional histologic variants and 124 usual-type EAC patients. Collectively, compared with usual-type EAC, the whole cohort demonstrated similar statistical significance for relevant clinicopathological parameters, such as International Federation of Gynecology and Obstetrics stage (R = 0.612 versus R = 0.600), tumor thickness (P < .0001 versus P < .0001), lymphovascular invasion (P < .0001 versus P < .0001), lymph node metastasis (P = .033 versus P = .018), perineural invasion (P = .003 versus P = .001), and recurrence-free survival (P = .047 versus P = .020). Moreover, perineural invasion was significantly correlated (P = .001) with the Silva pattern system and appeared in most Silva C tumors. In conclusion, the Silva pattern system is consistent with the biological behavior of EAC and has acceptable reproducibility. Compared with International Federation of Gynecology and Obstetrics stage, it can predict patient prognosis before surgery. We suggest revising the Silva C criteria by adding perineural invasion as a factor and propose expanding the Silva pattern system to include more histologic variants. It seems that the Silva pattern system can be applied in routine clinical practice to guide EAC therapeutic strategies in the near future.