Epithelial ovarian cancer: a review of preoperative imaging features indicating suboptimal surgery

Molecular and phenotypic characteristics influencing the degree of cytoreduction in high-grade serous ovarian carcinomas

BACKGROUND

High-grade serous ovarian carcinoma (HGSOC) is the deadliest ovarian cancer subtype, and survival relates to initial cytoreductive surgical treatment. The existing tools for surgical outcome prediction remain inadequate for anticipating the outcomes of the complex relationship between tumour biology, clinical phenotypes, co-morbidity and surgical skills. In this genotype-phenotype association study, we combine phenotypic markers with targeted DNA sequencing to discover novel biomarkers to guide the surgical management of primary HGSOC.

METHODS

Primary tumour tissue samples (n = 97) and matched blood from a phenotypically well-characterised treatment-naïve HGSOC patient cohort were analysed by targeted massive parallel DNA sequencing (next generation sequencing [NGS]) of a panel of 360 cancer-related genes. Association analyses were performed on phenotypic traits related to complete cytoreductive surgery, while logistic regression analysis was applied for the predictive model.

RESULTS

The positive influence of complete cytoreductive surgery (R0) on overall survival was confirmed (p = 0.003). Before surgery, low volumes of ascitic fluid, lower CA125 levels, higher platelet counts and relatively lower clinical stage at diagnosis were all indicators, alone and combined, for complete cytoreduction (R0). Mutations in either the chromatin remodelling SWI_SNF (p = 0.036) pathway or the histone H3K4 methylation pathway (p = 0.034) correlated with R0. The R0 group also demonstrated higher tumour mutational burden levels (p = 0.028). A predictive model was developed by combining two phenotypes and the mutational status of five genes and one genetic pathway, enabling the prediction of surgical outcomes in 87.6% of the cases in this cohort.

CONCLUSION

Inclusion of molecular biomarkers adds value to the pre-operative stratification of HGSOC patients. A potential preoperative risk stratification model combining phenotypic traits and single-gene mutational status is suggested, but the set-up needs to be validated in larger cohorts.

Computed tomographic enterography (CTE) in evaluating bowel involvement in patients with ovarian cancer

PURPOSE

To explore the utility of CTE in the evaluation of bowel invasion in patients with primary ovarian, fallopian tube, and peritoneal cancer.

METHODS

This observational study included 73 patients who received CTE before operation between September 2019 and December 2021. Two radiologists reviewed CTE images, focusing on the sites and depth of bowel involvement. Based on the findings during surgical exploration, we evaluated the diagnostic power, like sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (+ LR), and negative likelihood ratio (- LR) of CTE. Additionally, the characteristic images of bowel involvement on CTE corresponding to surgical findings were shown in the study.

RESULTS

The rate of macroscopic bowel invasion in this cohort was 49.31% (36/73), of which eight patients had small bowel involvement, 17 patients had colon involvement and 27 patients had sigmoid-rectum involvement. CTE detected bowel invasion in the small intestine with a sensitivity, specificity, PPV, NPV, and accuracy of 87.50%, 92.31%, 58.33%, 98.36%, 91.78%; for colon, the statistics were 58.82%, 96.43%, 83.33%, 88.52%, 87.67% and for sigmoid-rectum 62.96%, 82.61%, 68.00%, 79.17%, 75.34%, respectively.

CONCLUSION

CTE appeared a preferable diagnostic power on the small bowel and colon invasion in patients with primary ovarian, fallopian tube, and peritoneal cancer.