Significance of tumor size and number of positive nodes in patients with FIGO 2018 stage IIIC1 cervical cancer

OBJECTIVE

This study aimed to investigate the prognostic significance of tumor size and number of positive pelvic lymph nodes (PLN) in International Federation of Gynecology and Obstetrics (FIGO) 2018 stage IIIC1 cervical cancer patients.

METHODS

Clinical data from 626 women with cervical cancer treated at Osaka International Cancer Center in 2010-2020 were retrospectively reviewed. Using the cutoff value obtained on the receiver operating characteristic analysis, the prognostic significance of tumor size and number of positive PLN in stage IIIC1 patients was first evaluated via uni- and multivariate analyses. Then, the impact of incorporating tumor size and number of positive PLN into the FIGO staging system was investigated using the Kaplan-Meier method.

RESULTS

Among 196 women with Stage IIIC1 disease, larger tumors (>4 cm) and multiple PLN metastases (≥4) were independent predictors of progression-free survival (PFS) in patients with stage IIIC1 cervical cancer. The PFS of patients with stage IIIC1 disease was inversely associated with the number of risk factors. Although patients with stage IIIC1 disease had significantly increased survival rates compared to those with stage IIIA or IIIB disease in the original FIGO 2018 staging system, this reversal phenomenon was resolved by incorporating larger tumors (>4 cm) and multiple PLN metastases (≥4) into the revised staging system.

CONCLUSIONS

Incorporating tumor size and number of metastatic lymph nodes into the FIGO staging system allows additional risk stratification for women with stage IIIC1 cervical cancer and improves survival prediction performance.

Clinical value of conventional magnetic resonance imaging combined with diffusion-weighted imaging in predicting pelvic lymph node metastasis of cervical cancer

Background

In cervical cancer (CC), the involvement of pelvis lymph nodes is a crucial factor for patients' outcome. We aimed to investigate the value of conventional magnetic resonance imaging (MRI) combined with diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) in predicting CC pelvic lymph node metastasis (PLNM).

Methods

This retrospective study included CC patients who received surgical treatments. Surgical pathology results served as the gold standard for investigating the diagnostic performance of conventional MRI combined with DWI. We analyzed the association between tumor ADC and PLNM, as well as other pathological factors. The areas under the receiver operating characteristic curves (AUCs) for ADC in assessing PLNM and pathological factors were evaluated, and optimal cut-off points were obtained.

Results

A total of 261 CC patients were analyzed. PLNM patients had significantly lower tumor ADC (0.829 ± 0.144×10-3mm2/s vs. 1.064 ± 0.345×10-3mm2/s, p<0.0001), than non-PLNM CC. The agreement between conventional MRI combined with DWI and pathological results on PLNM diagnosis was substantial (Kappa=0.7031, p<0.0001), with 76% sensitivity, 94.31% specificity, and 90.8% accuracy. The AUC of tumor ADC was 0.703, and the optimal cut-off was 0.95×10-3 mm2/s. In multivariate analysis model 1, tumor ADC<0.95×10-3mm2/s was significantly associated with PLNM (OR, 2.83; 95%CI, 1.08-7.43; p= 0.0346) after adjusting for age and pathological risk factors. In multivariate analysis model 2, tumor ADC<0.95×10-3mm2/s (OR, 4.00; 95%CI, 1.61-9.89; p=0.0027), age<35 years old (OR, 2.93; 95%CI, 1.04-8.30; p=0.0428), increased tumor diameter on MRI (OR, 2.17; 95%CI, 1.18-3.99; p=0.0128), vaginal vault involvement on MRI (OR, 2; 95%CI, 1.002-3.99; p=0.0494) were independent predictors for PLNM. Tumor ADC<0.95×10-3mm2/s was significantly associated with higher risk of tumor diameter ≥4cm (OR, 2.60; 95%CI, 1.43-4.73; p=0.0017), muscular layer infiltration >1/2 (OR, 5.46; 95%CI, 3.19-9.34; p<0.0001), vaginal vault involvement (OR, 2.25; 95%CI, 1.28-3.96; p=0.0051), and lymphovascular space involvement (OR, 3.81; 95%CI, 2.19-6.63; p<0.0001).

Conclusion

Conventional MRI combined with DWI had a good diagnostic performance in detecting PLNM. The tumor ADC value in PLNM patients was significantly lower than that in non-PLNM patients. Tumor ADC <0.95×10-3mm2/s, age <35 years old, increased tumor diameter on MRI, vaginal vault involvement on MRI were independent predictors for PLNM.

Investigating the influence of primary uterine tumor site on pelvic and para-aortic lymph node metastatic pattern and evaluating the risk factors for lymph node metastases in endometrial carcinoma: A retrospective study

To assess the metastatic pattern in pelvic and para-aortic lymph nodes in relation with the primary uterine tumor site and to evaluate risk factors for lymph node metastases. 212 patients with endometrial cancer who underwent surgical treatment from December 2014 to December 2019 were selected. The clinical and pathological data were retrospectively analyzed. The factors and uterine primary tumor site related to lymph node metastasis were analyzed by univariate and multivariate analysis. Among the 212 patients with endometrial cancer, 17 cases had lymph node metastasis, and thus the metastasis rate was 8.02%. Univariate analysis revealed that lymph node metastasis was significantly correlated with Federation of Gynecology and Obstetrics stage, depth of myometrial invasion, tumor size, pathological grade, and lymphovascular space invasion (P < .05) and was not correlated with age, pathological type, and cervical involvement (P > .05). Primary uterine tumor site (fundus, horns, body or lower uterine segment) with or without cervical involvement was associated with different lymph nodes' metastatic sites. The lymph node metastatic pathways of endometrial cancer mainly include obturator lymph nodes and para-aortic lymph nodes, and skip metastasis may occur; endometrial carcinoma may jump and metastasize to para-aortic lymph nodes, specially when the lesion is located in the uterine fundus and uterine horns (cornua of uterus); there is a significant correlation between the location of lymph node metastasis and the location of primary uterine malignant tumor.

Application of Dynamic Enhanced Magnetic Resonance Imaging Texture Analysis Combined with ADCs in Predicting Pelvic Lymph Metastasis of Prostate Cancer

OBJECTIVE

The application value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) texture analysis combined with apparent diffusion coefficient (ADC) in predicting pelvic lymph node metastasis of prostate cancer was explored.

METHODS

The clinical and imaging data of 151 patients with prostate cancer admitted to The Affiliated Tumor Hospital of Guizhou Medical University from November 2019 to November 2021 were retrospectively analysed. According to the final pathological diagnosis results, they were divided into two groups: Metastasis group (n = 63, pelvic lymph node metastasis) and non-metastasis group (n = 88, no pelvic lymph node metastasis). The DCE-MRI texture parameters and ADCs of the two groups were compared using Omni-Kinetics software and MADC software packages. The receiver operating characteristic (ROC) curve was used in evaluating the predictive value of each method and their combination, and Spearman rank correlation analysis was used in evaluating their correlation.

RESULTS

The volume transfer (Ktrans) and interstitium-to-plasmarate rate constant (Kep) in the metastatic group were significantly higher than those in the non-metastatic group (p < 0.001). However, no significant difference in extravascular extracellular space volume fraction (Ve) was found between the groups (p > 0.05). The ADC of the metastatic group was lower (p < 0.001). The Ktrans and Kep values were positively correlated with pelvic lymph node metastasis of prostate cancer (r = 0.580, 0.684; p < 0.001), and the ADC was negatively correlated with pelvic lymph node metastasis of prostate cancer (r = -0.478; p < 0.001). The ROC curve showed that the area under the curve (AUC) of DCE-MRI texture analysis parameters Ktrans and Kep combined with ADC was large, and the prediction efficiency increased. The AUC, sensitivity and specificity were 0.974, 95.20% and 93.20% (p < 0.001), respectively.

CONCLUSIONS

DCE-MRI texture analysis combined with ADC value can accurately predict pelvic lymphatic metastasis of prostate cancer, which is helpful for the selection and formulation of clinical treatment plans and has certain guiding value for the implementation of pelvic lymph node clearing in patients.

Radiomics Based on Nomogram Predict Pelvic Lymphnode Metastasis in Early-Stage Cervical Cancer

The accurate prediction of the status of PLNM preoperatively plays a key role in treatment strategy decisions in early-stage cervical cancer. The aim of this study was to develop and validate a radiomics-based nomogram for the preoperative prediction of pelvic lymph node metastatic status in early-stage cervical cancer. One hundred fifty patients were enrolled in this study. Radiomics features were extracted from T2-weighted MRI imaging (T2WI). Based on the selected features, a support vector machine (SVM) algorithm was used to build the radiomics signature. The radiomics-based nomogram was developed incorporating radiomics signature and clinical risk factors. In the training cohort (AUC = 0.925, accuracy = 81.6%, sensitivity = 70.3%, and specificity = 92.0%) and the testing cohort (AUC = 0.839, accuracy = 74.2%, sensitivity = 65.7%, and specificity = 82.8%), clinical models that combine stromal invasion depth, FIGO stage, and MTD perform poorly. The combined model had the highest AUC in the training cohort (AUC = 0.988, accuracy = 95.9%, sensitivity = 92.0%, and specificity = 100.0%) and the testing cohort (AUC = 0.922, accuracy = 87.1%, sensitivity = 85.7%, and specificity = 88.6%) when compared to the radiomics and clinical models. The study may provide valuable guidance for clinical physicians regarding the treatment strategies for early-stage cervical cancer patients.

Association between single nucleotide polymorphisms of VEGF gene and pelvic lymph node metastasis in patients with early-stage cervical cancer

Cervical cancer patients in early-stage cervical cancer (ECC) were divided into pelvic lymph node (PLN) metastasis and non-PLN metastasis group. Single nucleotide polymorphism (SNP) genotyping for the VEGF gene was conducted and plasma VEGF levels were measured. Multivariate analysis was performed to assess the correlation between SNPs of the VEGF gene and PLN metastasis. We found that SNP of the VEGF rs2010963 was independently associated with PLN metastasis. GG and CG genotype had increased susceptibility to PLN metastasis compared with CC genotype, and moreover, OR was higher in GG genotype than in CG genotype. Plasma VEGF levels were lowest in CC genotype, intermediate in GC genotype and highest in GG genotype. In summary, the SNP of the VEGF rs2010963 affected susceptibility to PLN metastasis in patients with ECC, and GG and CG genotype had increased susceptibility compared with CC genotype. The potential mechanism was associated with elevated plasma VEGF levels.Impact StatementWhat is already known on this subject? The positive expression of vascular endothelial growth factor (VEGF) is correlated with higher risk of lymph node metastasis among cervical cancer patients, and VEGF levels of patients with pelvic lymph node (PLN) metastasis are significantly higher than those without PLN metastasis. Additionally, single nucleotide polymorphisms (SNPs) of the VEGF gene have been indicated to be correlated with individual susceptibility to tumours and expression and protein production of VEGF.What do the results of this study add? The SNP of the VEGF rs2010963 was independently associated with PLN metastasis in patients with early-stage cervical cancer (ECC). The GG and CG genotype of the VEGF rs2010963 had increased susceptibility to PLN metastasis compared with CC genotype. Plasma VEGF levels were lowest in the CC genotype, intermediate in the GC genotype and highest in the GG genotype.What are the implications of these findings for clinical practice and/or further research? The SNP of the VEGF rs2010963 affected susceptibility to PLN metastasis in patients with ECC, and the potential mechanism was associated with elevated plasma VEGF levels.

Impact of pentraxin 3 genetic variants on uterine cervical cancer clinicopathologic characteristics

The aims of this study were to investigate the relationships among pentraxin 3 (PTX3) genetic variants and development and clinicopathological characteristics of uterine cervical cancer, and patient survival in Taiwanese women. The study enrolled 125 patients with invasive cancer and 98 patients with precancerous lesions of uterine cervix, and 325 control women. PTX3 genetic variants rs2120243, rs3816527, rs2305619 and rs1840680 were selected and their genotypic distributions were determined by real-time polymerase chain reaction. Our results indicated that patients with genotype CC in PTX3 rs2120243 and genotype GG in rs1840680 had more chance to have adenocarcinoma but not squamous cell carcinoma, as compared to those with CA/AA and those with GA/AA, respectively. No other clinicopatholgical characteristics were associated with PTX3 genetic variants. In addition, PTX3 genetic variants were not associated with 5 years survival of cervical cancer patients. In conclusions, PTX3 genetic variants are not associated with carcinogenesis and clinicopathological variables of uterine cervix and patient survival in Taiwanese women. The only independent predictor for the 5 years survival is pelvic lymph node metastasis.

The impact of Aurora kinase A genetic polymorphisms on cervical cancer progression and clinicopathologic characteristics

The aims of this study were to explore the involvement of Aurora kinase A (AURKA) gene single nucleotide polymorphisms (SNPs) in uterine cervical cancer that has not yet been investigated. One hundred and six patients with cervical invasive cancer and 94 patients with precancerous lesions, and 302 Taiwanese female individuals were included. AURKA SNPs rs2273535, rs6024836, rs2064863 and rs1047972 were analyzed for genotypic distributions using real-time polymerase chain reaction. There were no statistically significant differences in the genetic frequencies of AURKA SNPs among patients with invasive cancer and those with precancerous lesions of uterine cervix and control women. There were no associations among AURKA SNPs and clinicopathologcal variables and recurrence and survival events. However, in a multivariate analysis, cervical cancer patients with adenocarcinoma (HR: 3.18, 95% CI: 1.23-8.23; p=0.017) and larger tumor (HR: 5.61, 95% CI: 2.10-14.95; p=0.001) had poorer recurrence-free survival. In conclusion, tumor size and pelvic lymph node status rather than AURKA SNPs were the most obvious independent parameter that could significantly predict 5 years survival rate in Taiwanese women with cervical cancer.

Expression of BDNF, TrkB, VEGF and CD105 is associated with pelvic lymph node metastasis and prognosis in IB2-stage squamous cell carcinoma

Brain-derived neurotrophic factor (BDNF), tropomyosin receptor kinase B (TrkB), vascular endothelial growth factor (VEGF) and CD105 are highly expressed in several types of cancer. The present study aimed to determine whether BDNF, TrkB, VEGF and CD105 are associated with the prognosis and metastasis of patients with cervical squamous cell carcinoma (SCC) at the IB2 stage. A total of 79 patients with IB2-stage SCC were enrolled in the present study. The expression levels of BDNF, TrkB, VEGF and CD105 in IB2-stage cervical cancer tissue were detected by immunohistochemistry and their association with clinicopathological indexes or prognostic factors was statistically analyzed. Reverse transcription quantitative PCR was used to detect whether the expression of VEGF was affected in SiHa cells co-cultured with BDNF. In addition, BDNF-induced SiHa cell migration and invasion were examined. BDNF expression in the cervical cancer samples was significantly associated with positive lymphovascular space invasion (P<0.001) and pelvic lymph node metastasis (P<0.05). In addition, microvessel density was verified as an independent prognostic factor for overall survival (P<0.05). In vitro analysis indicated that BDNF significantly induced cellular migration and invasion of SiHa cells in a dose-dependent manner (P<0.001). BDNF induced the expression of VEGF in SiHa cells, which was inhibited by BDNF antibodies or an inhibitor of TrkB receptor (P<0.05). BDNF may be considered a useful indicator of pelvic metastasis, which is involved in the aggressive spread of IB2-stage SCC. BDNF-induced upregulation of VEGF was revealed to act as a pro-angiogenic factor in SCC (Trial registration no. http://apps.who.int/trialsearch/; ChiCTR1800017778).

Involvement of endothelial nitric oxide synthase gene variants in the aggressiveness of uterine cervical cancer

To date, few studies explore the involvement of endothelial nitric oxide synthase (eNOS) gene variants in uterine cervical cancer. Therefore, we conducted this study to assess the clinical implication of eNOS in cervical carcinogenesis, clinicopathological characteristics and patient survival. One hundred and seventeen patients with cervical invasive cancer and 95 with preinvasive lesions and 330 control women were consecutively enrolled. Real time polymerase chain reaction was used to examine the genotypic distributions of eNOS single nucleotide polymorphisms (SNPs) rs1799983 (894G>T) at the exon 7 region and rs2070744 (-786T>C) at the promoter region. Our results indicated no significant associations among genotypic distributions of eNOS SNPs and patients with cervical invasive cancer and those with preinvasive lesions as well as normal controls. However, cervical cancer patients with genotypes TC/CC in eNOS SNP rs2070744 carried less risk of advanced stage [odds ratios (OR) = 0.30, 95% confidence interval (CI)=0.09-0.97, p=0.036], parametrium invasion (OR=0.16, 95% CI=0.02-0.75, p=0.009) and pelvic lymph node metastasis (OR=0.12, 95% CI=0.01-0.89, p=0.016). In conclusion, although eNOS SNPs rs2070744 and rs1799983 do not display significant associations with cervical carcinogenesis and patient survival, cervical cancer patients with genotypes TC/CC in rs2070744 carry less risk of advanced stage, parametrium invasion and pelvic lymph node metastasis in Taiwan.

Contrast-enhanced MRI in preoperative assessment of myometrial and cervical invasion, and lymph node metastasis: diagnostic value and error analysis in endometrial carcinoma

OBJECTIVE

To determine the ability of contrast-enhanced magnetic resonance imaging to predict myometrial invasion, cervical invasion, and pelvic lymph node metastasis in endometrial carcinoma and to analyze factors that lead to errors in this identification.

DESIGN

A retrospective study.

SETTING

University general hospital.

POPULATION

A total of 167 women diagnosed with endometrial carcinoma.

METHODS

All patients received a preoperative contrast-enhanced magnetic resonance imaging scan. Histopathological findings were used as the definitive diagnosis.

MAIN OUTCOME MEASURES

The results were compared with histopathological findings, factors that make accurate assessment of myometrial invasion, cervical invasion, and pelvic lymph node metastasis difficult by contrast-enhanced magnetic resonance imaging were analyzed.

RESULTS

The sensitivity, specificity, diagnostic accuracy, positive predictive values, and negative predictive values of contrast-enhanced magnetic resonance imaging were 90.9, 91.8, 91.6, 73.2 and 97.6%, respectively, for identifying deep myometrial invasion; 84.2, 96.0, 94.6, 72.7 and 97.9%, respectively, for identifying cervical invasion; and 45.0, 91.2, 85.6, 40.9 and 92.4%, respectively, for identifying pelvic lymph node metastasis. The main causes of error in contrast-enhanced magnetic resonance imaging were myomas, cornual lesions, deep myometrial invasion, large tumor size, non-endometrioid tumor type, and lower tumor grade.

CONCLUSION

Contrast-enhanced magnetic resonance imaging has a high accuracy and a low tendency to produce false-negative predictive values. Gynecological oncologists should combine the imaging data and clinical information to make therapeutic decisions and avoid diagnostic errors.