Difference in characteristics and outcomes of basaloid squamous cell carcinoma and squamous cell carcinoma, usual type in cervix: A population-based study from SEER 18 database

Basaloid Squamous Cell Carcinoma of the Uterine Cervix: Report of a Case With Molecular Analysis

There is a lack of knowledge about molecular alterations in basaloid squamous cell carcinoma (BSCC) of the uterine cervix. A 72-year-old woman with a history of previous subtotal hysterectomy and current vaginal bleeding was referred to our hospital. Initially, adenoid cystic carcinoma (ACC) was diagnosed upon cervical cytology and biopsy. Chest imaging showed multiple metastatic lesions in both lungs. The surgical specimen showed BSCC with diffuse p16 immunoreactivity and negativity for S-100, c-kit, and neuroendocrine markers. There was a focal minor ACC component, which could have explained the previous cytology and biopsy diagnosis. Next-generation sequencing with two different panels showed coexisting PIK3CA mutation and NTRK2 fusion with 10 additional variants of unknown significance (ATR, DAXX, FAM123B, JAK1, KEL, MLL2, NOTCH2, PALB2, POLD1, POLE). The MYB gene fusions were not identified. The patient received chemotherapy with TRK inhibitor larotrectinib and carboplatin, which caused shrinkage of metastatic lung nodules. This is the first report of cervical BSCC with extensive molecular workup, which detected multiple genetic events, including targetable ones, which are potentially implicated in the development of a tumor. The accumulation of data and further studies on this tumor are necessary to define its diagnostic criteria and its clinical and biological behavior.

Prognostic Model for Predicting Overall and Cancer-Specific Survival Among Patients With Cervical Squamous Cell Carcinoma: A SEER Based Study

BACKGROUND

Cervical squamous cell carcinoma (CSCC) is the most common histological subtype of cervical cancer. The purpose of this study was to assess prognostic factors and establish personalized risk assessment nomograms to predict overall survival (OS) and cancer-specific survival (CSS) in CSCC patients.

METHODS

CSCC patients diagnosed between 1988 and 2015 were identified in the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox proportional hazard regression models were applied to select meaningful independent predictors and construct predictive nomogram models for OS and CSS. The concordance index (C-index), calibration curve, and receiver operating characteristic (ROC) curve were used to determine the predictive accuracy and discriminability of the nomogram.

RESULTS

A total cohort (n=17962) was randomly divided into a training cohort (n=11974) and a validation cohort (n=5988). Age, race, histologic grade, clinical stage, tumor size, chemotherapy and historic stage were assessed as common independent predictors of OS and CSS. The C-index value of the nomograms for predicting OS and CSS was 0.771 (95% confidence interval 0.762-0.780) and 0.786 (95% confidence interval 0.777-0.795), respectively. Calibration curves of the nomograms indicated satisfactory consistency between nomogram prediction and actual survival for both 3-year and 5-year OS and CSS.

CONCLUSION

We constructed nomograms that could predict 3- and 5-year OS and CSS of CSCC patients. These nomograms showed good performance in prognostic prediction and can be used as an effective tool to evaluate the prognosis of CSCC patients, thus contributing to clinical decision making and individualized treatment planning.