A postoperative scoring system for distant recurrence in node-positive cervical cancer patients after radical hysterectomy and pelvic lymph node dissection with para-aortic lymph node sampling or dissection

Should all cervical cancer patients with positive lymph node receive definitive radiotherapy: a population-based comparative study

OBJECTIVE

The optimal initial management strategy for cervical cancer with lymph node metastases (LNM) remains a topic of ongoing debate. This study aimed to explore the correlation between surgery followed by postoperative radiotherapy (PORT) and definitive radiotherapy (RT), as well as their impact on the prognosis of patients with LNM.

METHODS

Patients with positive lymph nodes (PLNs) in 2009 FIGO stage I-III cervical cancer were selected from SEER database. Kaplan-Meier and log-rank analysis were utilized to assess survival outcomes. Cox and Interaction analyses were employed to compare the survival benefits.

RESULTS

2936 patients were included in this study. Multivariate analysis revealed the choice of primary treatment significantly impacted both cancer-specific survival (CSS) and overall survival (OS), serving as an independent prognostic factor for patients with LNM. After adjusting for imbalanced variables, surgery plus PORT exhibited significant improvements in CSS and OS in the stage I-II and PLNs ≤ 5 subgroups. However, no statistically significant difference was observed between the two treatment modalities in stage III and PLNs > 5 subgroups. Through interaction analysis, it was observed that stage I-II and PLNs ≤ 5 subgroups exhibited a significant survival benefit from surgery plus PORT.

CONCLUSION

Surgery plus PORT could lead to improved outcomes for cervical cancer in patients with stage I-II or PLNs ≤ 5. However, this approach did not apply to patients with stage III or PLNs > 5. Therefore, a comprehensive assessment of LNM and local tumor spread should guide rationalized treatment modalities when managing patients presenting LNM.

Predictive value of number of metastatic lymph nodes and lymph node ratio for prognosis of patients with FIGO 2018 stage IIICp cervical cancer: a multi-center retrospective study

BACKGROUND

To identify the cut-off values for the number of metastatic lymph nodes (nMLN) and lymph node ratio (LNR) that can predict outcomes in patients with FIGO 2018 IIICp cervical cancer (CC).

METHODS

Patients with CC who underwent radical hysterectomy with pelvic lymphadenectomy were identified for a propensity score-matched (PSM) cohort study. A receiver operating characteristic (ROC) curve analysis was performed to determine the critical nMLN and LNR values. Five-year overall survival (OS) and disease-free survival (DFS) rates were compared using Kaplan-Meier and Cox proportional hazard regression analyses.

RESULTS

This study included 3,135 CC patients with stage FIGO 2018 IIICp from 47 Chinese hospitals between 2004 and 2018. Based on ROC curve analysis, the cut-off values for nMLN and LNR were 3.5 and 0.11, respectively. The final cohort consisted of nMLN ≤ 3 (n = 2,378) and nMLN > 3 (n = 757) groups and LNR ≤ 0.11 (n = 1,748) and LNR > 0.11 (n = 1,387) groups. Significant differences were found in survival between the nMLN ≤ 3 vs the nMLN > 3 (post-PSM, OS: 76.8% vs 67.9%, P = 0.003; hazard ratio [HR]: 1.411, 95% confidence interval [CI]: 1.108-1.798, P = 0.005; DFS: 65.5% vs 55.3%, P < 0.001; HR: 1.428, 95% CI: 1.175-1.735, P < 0.001), and the LNR ≤ 0.11 and LNR > 0.11 (post-PSM, OS: 82.5% vs 76.9%, P = 0.010; HR: 1.407, 95% CI: 1.103-1.794, P = 0.006; DFS: 72.8% vs 65.1%, P = 0.002; HR: 1.347, 95% CI: 1.110-1.633, P = 0.002) groups.

CONCLUSIONS

This study found that nMLN > 3 and LNR > 0.11 were associated with poor prognosis in CC patients.

Development and validation of nomograms to recurrence and survival in patients with early-stage cervical adenocarcinoma

PURPOSE

Cervical adenocarcinoma is one of the most common types of cervical cancer and its incidence is increasing. The biological behavior and treatment outcomes of cervical adenocarcinoma (CA) differ from those of squamous cell carcinoma (SCC). We sought to develop a model to predict recurrence and cancer-specific survival (CSS) deaths in CA patients.

METHODS

131 patients were included in model development and internal validation, and patients from the SEER database (N = 1679) were used for external validation. Multivariable Cox proportional hazards regression analysis was used to select predictors of relapse-free survival (RFS) and CSS and to construct the model, which was presented as two nomograms. Internal validation of the nomograms was performed using the bootstrap resampling method.

RESULTS

Age, FIGO (International Federation of Gynecology and Obstetrics) stage, size of the tumor, lymph metastasis and depth of invasion were identified as independent prognostic factors for RFS, while age, FIGO stage, size of the tumor and number of positive LNs were identified as independent prognostic factors for CSS. The nomogram of the recurrence model predicted 2- and 5-year RFS, with optimism adjusted c-statistic of 75.41% and 74.49%. Another nomogram predicted the 2- and 5-year CSS with an optimism-adjusted c-statistic of 83.22% and 83.31% after internal validation; and 68.6% and 71.33% after external validation.

CONCLUSIONS

We developed and validated two effective nomograms based on static nomograms or online calculators that can help clinicians quantify the risk of relapse and death for patients with early-stage CA.

Role of brachytherapy in post-operative cervical cancer patients with risk factors other than positive stump

OBJECTIVE

This study aimed to determine the effectiveness of brachytherapy in post-operative cervical cancer patients with risk factors other than positive stump, and to identify the candidates most likely to benefit.

METHODS

Newly diagnosed, non-metastatic cervical cancer patients treated in our hospital between January 2012 and November 2015 were retrospectively reviewed. Early stage patients receiving radical surgery and needing adjuvant external radiotherapy were included, but those with positive stump were excluded. All patients received external radiotherapy. They were divided into two groups: one group received vaginal brachytherapy and the other did not. The 5-year local-regional recurrence free survival (LRRFS) and overall survival (OS) rates in the two groups were compared.

RESULTS

Two hundred and twenty-five patients were included in this study; while 99 received brachytherapy, 126 did not. The brachytherapy group had significantly superior 5-year LRRFS (87.7% vs. 72.5%, p = 0.004), but did not show a significant overall survival benefit (78.4% vs. 75.3%, p = 0.055). In multivariate analysis, brachytherapy, pathological type, high-risk factors, duration of radiotherapy, and transfusion were independent prognostic factors for 5-year LRRFS. In stratified analysis, the brachytherapy group showed superior LRRFS in those meeting Sedlis criteria (p = 0.017).

CONCLUSION

The combination of external beam radiation therapy and brachytherapy can improve LRRFS in post-operative cervical cancer patients with risk factors other than positive stump. Therefore, brachytherapy should be considered for these patients.

The prognostic value of the number of positive lymph nodes and the lymph node ratio in early-stage cervical cancer

INTRODUCTION

To establish the impact of the number of lymph node metastases (nLNM) and the lymph node ratio (LNR) on survival in patients with early-stage cervical cancer after surgery.

MATERIAL AND METHODS

In this nationwide historical cohort study, all women diagnosed between 1995 and 2020 with International Federation of Gynecology and Obstetrics (FIGO) 2009 stage IA2-IIA1 cervical cancer and nodal metastases after radical hysterectomy and pelvic lymphadenectomy from the Netherlands Cancer Registry were selected. Optimal cut-offs for prognostic stratification by nLNM and LNR were calculated to categorize patients into low-risk or high-risk groups. Kaplan-Meier overall survival analysis and flexible parametric relative survival analysis were used to determine the impact of nLNM and LNR on survival. Missing data were imputed.

RESULTS

The optimal cut-off point was ≥4 for nLNM and ≥0.177 for LNR. Of the 593 women included, 500 and 501 (both 84%) were categorized into the low-risk and 93 and 92 (both 16%) into the high-risk groups for nLNM and LNR, respectively. Both high-risk groups had a worse 5-year overall survival (p < 0.001) compared with the low-risk groups. Being classified into the high-risk groups is an independent risk factor for relative survival, with excess hazard ratios of 2.4 (95% confidence interval 1.6-3.5) for nLNM and 2.5 (95% confidence interval 1.7-3.8) for LNR.

CONCLUSIONS

Presenting a patient's nodal status postoperatively by the number of positive nodes, or by the nodal ratio, can support further risk stratification regarding survival in the case of node-positive early-stage cervical cancer.

Diagnosis, Therapy and Follow-up of Cervical Cancer. Guideline of the DGGG, DKG and DKH (S3-Level, AWMF Registry No. 032/033OL, May 2021) - Part 1 with Recommendations on Epidemiology, Screening, Diagnostics and Therapy

Aim This update of the interdisciplinary S3 guideline on the Diagnosis, Therapy and Follow-up of Cervical Cancer (AWMF Registry No. 032/033OL) was published in March 2021. This updated guideline was funded by German Cancer Aid (Deutsche Krebshilfe) as part of the German Guideline Program in Oncology. The guideline was coordinated by the German Society of Gynecology and Obstetrics ( Deutsche Gesellschaft für Gynäkologie und Geburtshilfe , DGGG) and the Working Group on Gynecological Oncology ( Arbeitsgemeinschaft Gynäkologische Onkologie , AGO) of the German Cancer Society ( Deutsche Krebsgesellschaft , DKG). Method The process of updating the S3 guideline dating from 2014 was based on an appraisal of the available evidence using the criteria of evidence-based medicine, adaptations of existing evidence-based national and international guidelines or - if evidence was lacking - on a consensus of the specialists involved in compiling the update. After an initial review of the current literature was carried out according to a prescribed algorithm, several areas were identified which, in contrast to the predecessor version from September 2014, required new recommendations or statements which took account of more recently published literature and the appraisal of the new evidence. Recommendations The short version of this guideline consists of recommendations and statements on the epidemiology, screening, diagnostic workup and therapy of patients with cervical cancer. The most important new aspects included in this updated guideline include the newly published FIGO classification of 2018, the radical open surgery approach for cervical cancers up to FIGO stage IB1, and use of the sentinel lymph node technique for tumors ≤ 2 cm. Other changes include the use of PET-CT, new options in radiotherapy (e.g., intensity-modulated radiotherapy, image-guided adaptive brachytherapy), and drug therapies to treat recurrence or metastasis.

Treatment Strategies and Prognostic Factors of 2018 FIGO Stage IIIC Cervical Cancer: A Review

Cervical cancer is the fourth most common malignant tumor globally in terms of morbidity and mortality. The presence of lymph node metastasis (LNM) is an independent prognostic factor for progression-free survival (PFS) and overall survival (OS) in cervical cancer patients. The International Federation of Gynecology and Obstetrics (FIGO) staging system was revised in 2018. An important revision designates patients with regional LNM as stage IIIC, pelvic LNM only as stage IIIC1, and para-aortic LNM as stage IIIC2. However, the current staging system is only based on the anatomical location of metastatic lymph nodes (LNs). It does not consider other LN status parameters, which may limit its prognostic significance to a certain extent and needs further exploration and confirmation in the future. The purpose of this review is to summarize the choice of treatment for stage IIIC cervical cancer and the effect of different LN status parameters on prognosis.

Recurrence pattern and prognostic factors for survival in cervical cancer with lymph node metastasis

AIM

The aim of this study is to evaluate the recurrence pattern and oncological outcomes in cervical cancer (CC) patients with lymph node metastasis.

METHODS

This study included 224 International Federation of Gynecology and Obstetrics (FIGO) 2009 stage IB1-IIIB CC patients with pathologically proven lymph node metastasis. Surgical intervention was grouped as hysterectomy performed/not performed. Adjuvant therapy decision was made by the tumor board. Radiotherapy was applied to all patients with lymph node metastasis.

RESULTS

Only paraaortic lymph node metastasis was determined as an independent prognostic factor for recurrence. Presence of paraaortic lymph node metastasis increased the risk of recurrence more than two times (odds ratio: 2.129; 95% confidence interval: 1.011-4.485; p = 0.047). An independent prognostic factor for death because of disease was age only. Risk of death was nearly doubled with younger age (odds ratio: 2.693; 95% confidence interval: 1.064-6.184; p = 0.037).

CONCLUSION

The most of recurrences were located at distant sites and multiple regions. Paraaortic lymph node metastasis was the only independent prognostic factor for recurrence, in spite of that age was an independent predictor for risk of death in patients with early stage or locally advanced CC and also with surgically proven metastatic lymph nodes. Furthermore, the presence of the paraaortic lymph node metastasis was significantly associated with distant recurrence. Therefore, more appropriate and individualized therapy strategy focusing on intenser systemic chemotherapy options in addition to radiotherapy should be taken into consideration according to paraaortic lymph node metastasis and age.

Tumour-free distance: a novel prognostic marker in patients with early-stage cervical cancer treated by primary surgery

BACKGROUND

Models predicting recurrence risk (RR) of cervical cancer are used to tailor adjuvant treatment after radical surgery. The goal of our study was to compare available prognostic factors and to develop a prognostic model that would be easy to standardise and use in routine clinical practice.

METHODS

All consecutive patients with early-stage cervical cancer treated by primary surgery in a single referral centre (01/2007-12/2016) were eligible if assessed by standardised protocols for pre-operative imaging and pathology. Fifteen prognostic markers were evaluated in 379 patients, out of which 320 lymph node (LN)-negative.

RESULTS

The best predictive model for the whole cohort entailed a combination of tumour-free distance (TFD) ≤ 3.5 mm and LN positivity, which separated two subgroups with a substantially distinct RR 36% and 6.5%, respectively. In LN-negative patients, a combination of TFD ≤ 3.5 mm and adenosquamous tumour type separated a group of nine patients with RR 33% from the rest of the group with 6% RR.

CONCLUSIONS

A newly identified prognostic marker, TFD, surpassed all traditional tumour-related markers in the RR assessment. Predictive models combining TFD, which can be easily accessed on pre-operative imaging, with LN status or tumour type can be used in daily practice and can help to identify patients with the highest RR.

Comparison of different lymph node staging systems in patients with node-positive cervical squamous cell carcinoma following radical surgery

Objective: We compared the prognostic accuracy of four lymph node (LN) staging systems - the 2018 International Federation of Gynecology and Obstetrics (FIGO) stage, number of positive lymph node (PLN), metastatic lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) systems - in patients with node-positive cervical squamous cell carcinoma (CSCC) following radical surgery and explored the optimal choice for clinical applications. Materials and methods: Data were retrospectively collected from 928 node-positive CSCC patients who underwent radical surgery between 2006 and 2014 in our center. Tree-based recursive partitioning was applied to split variables (PLN, LNR, and LODDS) into low-risk and high-risk groups. The log-rank test was used to compare survival curves, and Cox regression analysis was performed to identify prognostic factors. The relative discriminative abilities of the different staging systems were assessed using Harrell's concordance index (C index) and the Akaike information criterion (AIC). Results: The mean number of PLNs was 3.8 (range: 1-44 nodes). According to the 2018 FIGO staging system, 831 patients had stage IIIC1, and 97 had stage IIIC2. For the PLN system, 761 patients were included in the low-risk group, and 167 were included in the high-risk group. For the LNR system, 658 patients were included in the low-risk group, and 270 were included in the high-risk group. The low-risk LODDS group included 694 patients, while the high-risk LODDS group included 234 patients. All four staging systems had a significant influence on patients' progression-free survival (PFS, P < 0.001) and overall survival (OS, P < 0.001). Univariate analysis and multivariate Cox analysis adjusted for significant factors indicated that the four staging systems were significant prognostic factors for PFS and OS. Among them, the PLN system was noted to have the best prognostic performance for both PFS (C index: 0.582; AIC: 8213.33) and OS (C index: 0.624; AIC: 8433.80). Conclusion: The PLN system seemed to be the most accurate LN staging method for predicting node-positive CSCC following radical surgery.

Exosomal microRNAs: novel players in cervical cancer

Cervical cancer ranks fourth for both mortality and morbidity in women globally. Exosomes are considered as extracellular vesicles, secreted continuously by many cells with a size range from 30 to 150 nm. Exosomes can encapsulate microRNAs (miRNAs) and release them for cellular communications. This exosome-induced miRNA transfer is a novel strategy for genetic exchange among cells. This trafficking modality affects many pathological as well as physiological conditions. Moreover, exosomes can protect the miRNAs against harsh environments and keep them very stable. Given that a variety of exosomal miRNAs derived from cervical cancer cells can be targeted to recipient cells and contribute to tumorgenesis, it has been documented that exosomal miRNAs could be applied as diagnostic and therapeutic biomarkers in the treatment of cervical cancer. Herein, we summarize the pathologic and diagnostic roles of exosomal miRNAs in the cervical cancer. Moreover, we highlight the roles of exosomal miRNAs in other cancers.

Populational trends and outcomes of postoperative radiotherapy for high-risk early-stage cervical cancer with lymph node metastasis: concurrent chemo-radiotherapy versus radiotherapy alone

BACKGROUND

Pelvic lymph node metastasis carries the highest impact on decreased survival among surgical-pathological risk factors for early-stage cervical cancer. Although concurrent administration of chemotherapy during postoperative radiotherapy is the current standard treatment for surgically treated high-risk early-stage cervical cancer, its effectiveness specific to node-positive disease has not been completely studied.

OBJECTIVE

To examine the association between the use of concurrent chemotherapy and survival in women with early-stage cervical cancer and nodal metastasis receiving adjuvant radiotherapy.

MATERIALS AND METHODS

This is a population-based cohort study using the Surveillance, Epidemiology, and End Results Program from 1988 to 2016. Women with stage T1-2 cervical cancer with pelvic lymph node metastasis who underwent hysterectomy and received postoperative radiotherapy were examined. Trends, characteristics, and overall survival were compared between women who received postoperative radiotherapy alone (n = 729) or in combination with concurrent chemo-radiotherapy (n = 1809). Propensity score-based inverse probability of treatment weighting was used to account for the effect of measured covariates on treatment selection.

RESULTS

Among 2538 women, there was a marked increase in the use of concurrent chemotherapy from 1997 to 2000 (20.7% to 78.5%, P = .052), followed by a more gradual rise through 2016 (88.3%, P < .001). In a multivariable model, women with non-squamous cell carcinomas and those diagnosed more recently were more likely to receive concurrent chemo-radiotherapy, whereas older women were less likely to receive concurrent chemo-radiotherapy (all, P < .05). At the population level, the 5-year overall survival rates remained unchanged (annual percent change for 1997-2012: -0.1; 95% confidence interval, -1.2 to 1.0; P = .776). In a propensity score weighted cohort, women who received concurrent chemo-radiotherapy had a 5-year overall survival rate similar to women treated with radiotherapy alone (73.1% vs 73.6%; hazard ratio, 1.004; 95% confidence interval, 0.887-1.136; P = .955). Significant differences were also not seen in older women, nonsquamous types, stage T2 disease, and multiple node metastases (all, P > .05).

CONCLUSION

Despite the marked increase in the use of concurrent chemo-radiotherapy for women with early-stage cervical cancer and nodal metastases, there was no association between use of concurrent chemotherapy during postoperative radiotherapy and improved survival.

Central Pathology Review in SENTIX, A Prospective Observational International Study on Sentinel Lymph Node Biopsy in Patients with Early-Stage Cervical Cancer (ENGOT-CX2)

The quality of pathological assessment is crucial for the safety of patients with cervical cancer if pelvic lymph node dissection is to be replaced by sentinel lymph node (SLN) biopsy. Central pathology review of SLN pathological ultrastaging was conducted in the prospective SENTIX/European Network of Gynaecological Oncological Trial (ENGOT)-CX2 study. All specimens from at least two patients per site were submitted for the central review. For cases with major or critical deviations, the sites were requested to submit all samples from all additional patients for second-round assessment. From the group of 300 patients, samples from 83 cases from 37 sites were reviewed in the first round. Minor, major, critical, and no deviations were identified in 28%, 19%, 14%, and 39% of cases, respectively. Samples from 26 patients were submitted for the second-round review, with only two major deviations found. In conclusion, a high rate of major or critical deviations was identified in the first round of the central pathology review (28% of samples). This reflects a substantial heterogeneity in current practice, despite trial protocol requirements. The importance of the central review conducted prospectively at the early phase of the trial is demonstrated by a substantial improvement of SLN ultrastaging quality in the second-round review.

CNN3 acts as a potential oncogene in cervical cancer by affecting RPLP1 mRNA expression

The prognosis of advanced stage cervical cancer is poorer due to cancer invasion and metastasis. Exploring new factors and signalling pathways associated with invasiveness and metastasis would help to identify new therapeutic targets for advanced cervical cancer. We searched the cancer microarray database, Oncomine, and found elevated calponin 3 (CNN3) mRNA expression in cervical cancer tissues. QRT-PCR verified the increased CNN3 expression in cervical cancer compared to para-cancer tissues. Proliferation, migration and invasion assays showed that overexpressed CNN3 promoted the viability and motility of cervical cancer cells, the opposite was observed in CNN3-knockdown cells. In addition, xenografted tumours, established from SiHa cells with CNN3 knockdown, displayed decreased growth and metastasis in vivo. Furthermore, RNA-sequencing showed that ribosomal protein lateral stalk subunit P1 (RPLP1) was a potential downstream gene. Gene function experiments revealed that RPLP1 had the same biological effects as CNN3 did. Rescue experiments demonstrated that the phenotypes inhibited by CNN3 silencing were partly or completely reversed by RPLP1 overexpression. In conclusion, we verified that CNN3 acts as an oncogene to promote the viability and motility of cervical cancer cells in vitro and accelerate the growth and metastasis of xenografted tumours in vivo, by affecting RPLP1 expression.

The tumor-stroma ratio is an independent predictor of survival in patients with 2018 FIGO stage IIIC squamous cell carcinoma of the cervix following primary radical surgery

OBJECTIVE

To determine the value of the tumor-stroma ratio (TSR) while identifying prognostic factors in patients with 2018 International Federation of Gynecology and Obstetrics (FIGO) stage IIIC squamous cell carcinoma of the cervix following primary radical surgery.

METHODS

Three hundred eighty-four patients with node-positive squamous cell carcinoma of the cervix (2018 FIGO stage IIIC) who underwent radical surgery between January 2005 and December 2016 were included in this retrospective study. The TSRs were assessed on hematoxylin and eosin-stained tumor slides and classified as stroma-low (<50% stroma) or stroma-high (≥50% stroma).

RESULTS

Sixty-seven patients were categorized as stroma-high; they had shorter disease-free survival (DFS) and overall survival (OS) periods than did their stroma-low counterparts. On multivariate analysis, a tumor size ≥4 cm, ≥3 metastatic lymph nodes, and stroma-high status were independent predictors of shorter DFS and OS. These factors were incorporated into a prognostic scoring system in which patients were categorized into low- (score 0), intermediate- (score 1), and high-risk (scores 2-3) groups. The scoring system differentiated DFS and OS well (C-index = 0.65, 95% confidence interval, 0.59-0.72; and C-index = 0.65, 95% confidence interval, 0.59-0.72, respectively).

CONCLUSIONS

The TSR is an independent prognostic factor, and our prognostic scoring system that incorporates this parameter exhibits good discriminative ability for both recurrence and survival in patients with 2018 FIGO stage IIIC cervical cancer after radical surgery. The TSR is a potentially novel clinicopathological variable for predicting the prognoses of these patients contingent on the validation of our findings.

Prediction of 10-year Overall Survival in Patients with Operable Cervical Cancer using a Probabilistic Neural Network

Background: Toward the goal of predicting individual long-term cancer survival to guide treatment decisions, this study evaluated the ability of a probabilistic neural network (PNN), an established model used for decision-making in research and clinical settings, to predict the 10-year overall survival in patients with cervical cancer who underwent primary surgical treatment. Patients and Method: The input dataset was derived from 102 patients with cervical cancer FIGO stage IA2-IIB treated by radical hysterectomy. We identified 4 demographic parameters, 13 tumor-related parameters, and 6 selected perioperative variables for each patient and performed computer simulations with DTREG software. The predictive ability of the model was determined on the basis of its error, sensitivity, and specificity, as well as area under the receiver operating characteristic curve. The results of the PNN predictive model were compared with those of logistic regression analysis and a single decision tree as reference models. Results: The PNN model had very high predictive ability, with a sensitivity of 0.949, a specificity of 0.679, and an error rate of 12.5%. The PNN's area under the receiver operating characteristic curve was high, 0.809, a value greater than those for both logistic regression analysis and the single decision tree. Conclusion: The PNN model effectively and reliably predicted 10-year overall survival in women with operable cervical cancer, and may therefore serve as a tool for decision-making process in cancer treatment.

A comprehensive analysis of the factors of positive pelvic lymph nodes on survival of cervical cancer patients with 2018 FIGO stage IIIC1p

Objective: To evaluate the factors associated with positive pelvic lymph nodes (LNs) on the survival of patients with 2018 FIGO stage IIIC1p cervical cancer. Methods: We retrospectively analyzed 155 patients with pelvic lymph node metastasis (LNM) confirmed by pathology after radical resection of cervical cancer treated at Zhejiang Cancer Hospital, China, between March 2008 and October 2011. We analyzed the influence of the factors associated with positive pelvic LNs on the survival of patients. Results: The 5-year progress-free survival (PFS) and overall survival (OS) of patients were 78.1% and 81.9%, respectively. The 5-year PFS and OS of patients with more than 2 LNM were worse compared with patients with 1 or 2 LNM (68.4% vs 83.7%, p=0.013; 72.4% vs 87.6%, p=0.017, respectively). The 5-year PFS and OS of patients with more than 2 LNM sites were worse than that of patients with 1 or 2 LNM sites (60.0% vs 82.4%, p=0.008; 70.0% vs 84.8%, p=0.045, respectively). The 5-year PFS and OS of patients with common iliac LNM was poorer than that of patients without common iliac LNM (60.7% vs 81.9%, p=0.008; 67.9% vs 85.0%, p=0.020, respectively). Compared with other patients, the survival of patients with these three factors (more than 2 LNM, more than 2 LNM sites, and common iliac LNM) was the worst (p<0.05). Conclusion: More than 2 LNM, more than 2 LNM sites, and common iliac LNM were predictive factors of poor survival in stage IIIC1p cervical cancer patients. Survival of patients with stage IIIC1p cervical cancer declined with increasing presence of such factors. The combined evaluation of the factors associated with positive pelvic LNs is a more comprehensive and pragmatic approach in evaluating the prognosis of cervical cancer.

Nomograms based on HPV load for predicting survival in cervical squamous cell carcinoma: An observational study with a long-term follow-up

Objective

To investigate the prognostic value of pretreatment human papillomavirus (HPV) viral load for cervical cancer, and to develop nomograms based on HPV load and other clinicopathological factors for long-term survival.

Methods

We conducted a prospective study on cervical squamous cell carcinoma (SCC) patients diagnosed between January 2003 and December 2008. Cervical samples were tested for HPV viral load by the Hybrid Capture II (HCII) assay before treatment and 6 months after treatment. Clinical characteristics and follow-up information were also collected. A multivariable Cox proportional hazards model was used to adjust covariates in both the radical hysterectomy (RH) treatment group and concurrent chemoradiotherapy (CCRT) treatment group to identify relevant covariates, and then nomograms were constructed and used for internal validation.

Results

A total of 520 SCC patients enrolled in this study with a median follow-up of 127 months, 360 patients received RH, whereas 160 patients received CCRT. The median HPV viral load in RH and CCRT groups was 356.10 and 294.29, respectively. Tumor size was positively correlated with high pretreatment HPV load in both groups. In CCRT group, the advanced International Federation of Gynecology and Obstetrics (FIGO) stage and enlarged retroperitoneal lymph node status determined by computed tomography (LNSCT) were correlated with low HPV load group. Initial HPV viral load, FIGO stage and lymph node metastasis were prognostic factors for RH group, whereas HPV viral load, squamous cell carcinoma antigen (SCC-Ag) level and LNSCT were identified as prognostic factors for CCRT group. Nomograms incorporating these predictors for 10-year progression-free survival (PFS) were constructed [concordance index (C-index): 0.756, 0.749].

Conclusions

A low pretreatment HPV viral load is an independent prognostic factor for poor prognosis of cervical SCC and is related to other clinicopathological factors. The survival nomogram based on HPV viral load could predict the long-term prognosis.

Factors predicting parametrial invasion in patients with early-stage cervical carcinomas

We aimed to identify factors predicting parametrial invasion in early-stage cervical cancer patients undergoing radical hysterectomy. We recruited women with invasive cervical cancer who underwent radical hysterectomy at a single medical institute from 2000–2011. The clinical and pathological characteristics and outcomes were retrospectively recorded, and the risk factors for parametrial invasion were analyzed. We enrolled 339 patients, including 7 with stage IA1 carcinomas, 10 with stage IA2, 266 with stage IB1, 39 with stage IB2, 14 with stage IIA1, and 3 with stage IIA2. The majority (237/339, 69.9%) had squamous cell carcinoma, while 32 (12.4%) had parametrial invasion. The 16 patients with stage IB1 tumors and parametrial invasion were older (55.9±9.5vs. 49.0±9.9 years, p = 0.005, Mann-Whitney U test), and had deeper cervical stromal invasion (9.59±4.87 vs. 7.47±5.48 mm, p = 0.048, Mann-Whitney U test), larger tumor size (2.32±1.15 vs. 1.74±1.14cm, p = 0.043, Mann-Whitney U test), higher incidences of lymphovascular space invasion (87.5% vs. 28.8%, p<0.001, chi-square test), and greater lymph node metastasis (68.8% vs. 10.8%, p<0.001, chi-square test) than the 260 patients without parametrial invasion. Among the patients with stage IB1 tumor size >2 cm,10% had parametrial invasion and 24.2% had lymph node metastasis compared with only 4% and 9.4% of stage IB1 patients with a tumor size <2 cm, respectively. Only one (0.9%) of the 109 patients aged less than 50 years had parametrial invasion compared with 6 (9.7%) of the 62 patients aged over 50 years. Patients with stage IA2 and IB1 tumors <2 cm may not need radical hysterectomy owing to the low incidence of parametrial invasion.

Cervical squamous cell carcinoma-secreted exosomal miR-221-3p promotes lymphangiogenesis and lymphatic metastasis by targeting VASH1

Cancer-secreted exosomal miRNAs are emerging mediators of cancer-stromal cross-talk in the tumor environment. Our previous miRNAs array of cervical squamous cell carcinoma (CSCC) clinical specimens identified upregulation of miR-221-3p. Here, we show that miR-221-3p is closely correlated with peritumoral lymphangiogenesis and lymph node (LN) metastasis in CSCC. More importantly, miR-221-3p is characteristically enriched in and transferred by CSCC-secreted exosomes into human lymphatic endothelial cells (HLECs) to promote HLECs migration and tube formation in vitro, and facilitate lymphangiogenesis and LN metastasis in vivo according to both gain-of-function and loss-of-function experiments. Furthermore, we identify vasohibin-1 (VASH1) as a novel direct target of miR-221-3p through bioinformatic target prediction and luciferase reporter assay. Re-expression and knockdown of VASH1 could respectively rescue and simulate the effects induced by exosomal miR-221-3p. Importantly, the miR-221-3p-VASH1 axis activates the ERK/AKT pathway in HLECs independent of VEGF-C. Finally, circulating exosomal miR-221-3p levels also have biological function in promoting HLECs sprouting in vitro and are closely associated with tumor miR-221-3p expression, lymphatic VASH1 expression, lymphangiogenesis, and LN metastasis in CSCC patients. In conclusion, CSCC-secreted exosomal miR-221-3p transfers into HLECs to promote lymphangiogenesis and lymphatic metastasis via downregulation of VASH1 and may represent a novel diagnostic biomarker and therapeutic target for metastatic CSCC patients in early stages.

Preoperative SCC-Ag and thrombocytosis as predictive markers for pelvic lymphatic metastasis of squamous cervical cancer in early FIGO stage

Objectives:To explore the clinical significance of squamous cell carcinoma antigen (SCC-Ag) and thrombocytosis to predict pelvic lymphatic metastasis (PLM) of squamous cervical cancer (SCC) in International Federation of Gynecology and Obstetrics (FIGO) stages IA-IIA.

Methods:A retrospective clinicopathologic review of 782 patients of a primary cohort in three Chinese hospitals from 2010 to 2015, and 407 patients of a validation cohort in another institution from 2015 to 2017. A receiver operating characteristic curve was used to determine the optimal SCC-Ag threshold to predict PLM in the groups. Univariate and multivariate logistic analyses for PLM were performed to assess differences in outcome.

Results:In the primary and validation cohort, 15.6% (122/782) and 25.3% (103/407) patients were classified into the thrombocytosis group (platelet count >300 × 10⁹/L), respectively. Optimal cutoff values of SCC-Ag for predicting PLM of the thrombocytosis group and the normal group were 3.26 ng/mL (AUC 0.754; sensitivity 73.08%; specificity 72.92%; P = 0.000) and 4.58 ng/mL (AUC 0.706; sensitivity 53.26%; specificity 83.98%; P = 0.000), respectively, in the primary cohort, and 1.55 ng/mL (AUC 0.705; sensitivity 79.31%; specificity 55.41%; P = 0.000) and 1.75 ng/mL (AUC 0.655; sensitivity 69.57%; specificity 64.26%; P = 0.000), respectively, in the validation cohort. In multivariate logistic analysis, preoperative SCC-Ag over 3.26 ng/mL and lymphovascular space involvement were the significant predictors of PLM for SCC in FIGO stages IA-IIA.

Conclusions: Preoperative SCC-Ag alone or combined with thrombocytosis might be used as predictive markers for PLM before initial treatment in early stage SCC.

Prediction of 5-year overall survival in cervical cancer patients treated with radical hysterectomy using computational intelligence methods

BACKGROUND

Computational intelligence methods, including non-linear classification algorithms, can be used in medical research and practice as a decision making tool. This study aimed to evaluate the usefulness of artificial intelligence models for 5-year overall survival prediction in patients with cervical cancer treated by radical hysterectomy.

METHODS

The data set was collected from 102 patients with cervical cancer FIGO stage IA2-IIB, that underwent primary surgical treatment. Twenty-three demographic, tumor-related parameters and selected perioperative data of each patient were collected. The simulations involved six computational intelligence methods: the probabilistic neural network (PNN), multilayer perceptron network, gene expression programming classifier, support vector machines algorithm, radial basis function neural network and k-Means algorithm. The prediction ability of the models was determined based on the accuracy, sensitivity, specificity, as well as the area under the receiver operating characteristic curve. The results of the computational intelligence methods were compared with the results of linear regression analysis as a reference model.

RESULTS

The best results were obtained by the PNN model. This neural network provided very high prediction ability with an accuracy of 0.892 and sensitivity of 0.975. The area under the receiver operating characteristics curve of PNN was also high, 0.818. The outcomes obtained by other classifiers were markedly worse.

CONCLUSIONS

The PNN model is an effective tool for predicting 5-year overall survival in cervical cancer patients treated with radical hysterectomy.