Dysplastic endocervical curettings: a predictor of cervical squamous cell carcinoma

The role of PAX1 methylation in predicting the pathological upgrade of cervical intraepithelial neoplasia before cold knife conization

Objective

To explore the ability of PAX1 methylation (PAX1^m) to predict the pathological upgrade of cervical intraepithelial neoplasia (CIN) before cold knife conization (CKC).

Methods

A total of 218 women that underwent colposcopy-directed biopsy (CDB) pathology for the confirmation of CIN2 and CIN3 between December 2020 to September 2021 were enrolled in this study. The methylation levels of PAX1 (ΔCp_PAX1) were determined by quantitative methylation-specific polymerase chain reaction (qMSP). Receiver operating characteristic curve was used to identify the optimal cut-off value of ΔCp_PAX1 for predicting the pathological upgrade of disease.

Results

In the CDB-confirmed CIN2 group, 36% of CIN2 was found to have pathologically upgraded to CIN3 and 30% regressed to low-grade squamous intraepithelial lesion (LSIL) and below, and none of CIN2 upgraded to early-stage cervical cancer (ESCC) after CKC. In the CDB-confirmed CIN3 group, 19.5% (23/118) of CDB-confirmed CIN3 were pathologically upgraded to ESCC after CKC. Regardless of CIN2 or CIN3, the ΔCp_PAX1 level of women with upgraded pathology after CKC was significantly lower than that of women with degraded pathology. The optimal △Cp_PAX1 cut-off value in predicting CIN3 to be upgraded to ESCC after CKC was 6.360 and the area under the curve (AUC) was 0.814, with similar sensitivity (78.3%) and higher specificity (84.2%) than cytology≥LSIL (Se:78.3%;Sp:58.9%) and HPV16/18 positive (Se:73.9%;Sp:46.3%) patients.

Conclusions

PAX1^m could be a promising auxiliary marker in predicting the pathological upgrade of CIN before CKC. We found that if the △Cp _PAX1 cut-off value is lower than 6.360, it is highly suggestive of invasive cervical cancer.

Identification of Tumor Tissue of Origin with RNA-Seq Data and Using Gradient Boosting Strategy

BACKGROUND

Cancer of unknown primary (CUP) is a type of malignant tumor, which is histologically diagnosed as a metastatic carcinoma while the tissue-of-origin cannot be identified. CUP accounts for roughly 5% of all cancers. Traditional treatment for CUP is primarily broad-spectrum chemotherapy; however, the prognosis is relatively poor. Thus, it is of clinical importance to accurately infer the tissue-of-origin of CUP.

METHODS

We developed a gradient boosting framework to trace tissue-of-origin of 20 types of solid tumors. Specifically, we downloaded the expression profiles of 20,501 genes for 7713 samples from The Cancer Genome Atlas (TCGA), which were used as the training data set. The RNA-seq data of 79 tumor samples from 6 cancer types with known origins were also downloaded from the Gene Expression Omnibus (GEO) for an independent data set.

RESULTS

400 genes were selected to train a gradient boosting model for identification of the primary site of the tumor. The overall 10-fold cross-validation accuracy of our method was 96.1% across 20 types of cancer, while the accuracy for the independent data set reached 83.5%.

CONCLUSION

Our gradient boosting framework was proven to be accurate in identifying tumor tissue-of-origin on both training data and independent testing data, which might be of practical usage.

Evaluation of endocervical curettage with conization in diagnosis of endocervical lesions

AIM

Endocervical curettage (ECC) at the time of conization has been reported to be effective for diagnosing cervical intraepithelial neoplasia and/or early stage cervical cancer. We aimed to verify the accuracy of ECC with conization.

METHODS

We retrospectively analyzed the records of 540 patients with suspected neoplastic cervical lesions who underwent conization at the Yokohama City University Hospital from January 2008 to December 2015. To validate the effectiveness of ECC for evaluating endocervical lesions, histopathologic findings from ECC samples were compared with those from endocervical specimens obtained by conization. In patients who subsequently underwent hysterectomy, specimens of residual endocervical stump lesions were compared with the specimens obtained by ECC.

RESULTS

ECC was performed in 58.9% of patients who underwent conization. Positive findings were only observed in 7.9%, while negative findings were found in 67.3% of ECC samples; however, 24.8% of the samples were inadequate for diagnosis. None of the patients had an upgraded diagnosis according to ECC results. The sensitivity of ECC in predicting endocervical stump lesions that were identified by conization specimens was 25.0%, the specificity was 94.2% and the positive predictive value was 55.0% (κ = 0.238; P < 0.001). ECC samples yielded a sensitivity of 42.9%, a specificity of 83.9%, and positive predictive value of 54.5% (κ = 0.284; P = 0.053) in predicting residual endocervical lesions in the uterus.

CONCLUSIONS

As it offers low sensitivity and positive predictive value, ECC at the time of conization is of limited benefit for evaluating endocervical lesions.