Use of clinical variables for preoperative prediction of lymph node metastasis in endometrial cancer.

OBJECTIVE: Endometrial cancer is the most common gynaecological cancer, and most patients are identified during early disease stages. Noninvasive evaluation of lymph node metastasis likely will improve the quality of clinical treatment, for example, by omitting unnecessary lymphadenectomy. METHODS: The study population comprised 611 patients with endometrial cancer who underwent lymphadenectomy at four types of institutions, comprising seven hospitals in total. We systematically assessed the association of 18 preoperative clinical variables with postoperative lymph node metastasis. We then constructed statistical models for preoperative lymph node metastasis prediction and assessed their performance with a previously proposed system, in which the score was determined by counting the number of high-risk variables among the four predefined ones. RESULTS: Of the preoperative 18 variables evaluated, 10 were significantly associated with postoperative lymph node metastasis. A logistic regression model achieved an area under the curve of 0.85 in predicting lymph node metastasis; this value is significantly higher than that from the previous system (area under the curve, 0.74). When we set the false-negative rate to ~1%, the new predictive model increased the rate of true negatives to 21%, compared with 6.8% from the previous one. We also provide a spreadsheet-based tool for further evaluation of its ability to predict lymph node metastasis in endometrial cancer. CONCLUSIONS: Our new lymph node metastasis prediction method, which was based solely on preoperative clinical variables, performed significantly better than the previous method. Although additional evaluation is necessary for its clinical use, our noninvasive system may help improve the clinical treatment of endometrial cancer, complementing minimally invasive sentinel lymph node biopsy.

Impact of lower co-payments on risk-reducing salpingo-oophorectomy and BRCA testing in Japan.

BACKGROUND: In April 2020, insurance coverage for risk-reducing salpingo-oophorectomy (RRSO) for breast cancer patients with hereditary breast and ovarian cancer (HBOC) syndrome and BRCA testing were started in Japan. We investigated the impact of insurance coverage on the number of RRSO and BRCA tests performed. METHODS: The subjects were 370 breast cancer patients and 23 of their relatives who received genetic counseling at our institution between April 2014 and December 2021. Finally, 349 patients and 15 relatives were analyzed. We retrospectively compared the number of BRCA tests, RRSO, insurance status, and co-payment of medical expenses before and after insurance coverage based on medical records. RESULTS: In the 6-year pre-coverage period, 226 patients (mean: 37/year) received genetic counseling and 106 (17/year) received BRCA testing. In the 21-month post-coverage period, 161 patients (92/year) received genetic counseling and 127 (72/year) received BRCA testing. The rate of testing/counseling significantly increased in the post-coverage period (46.9% vs. 78.8%; p < .001). The number of patients who were diagnosed with HBOC were 24 (4/year) and 18 (10/year) and RRSO was performed for 7 (1/year) and 11 (6/year) patients in the pre- and post-coverage periods, respectively. The rate of RRSO/HBOC was significantly increased in the post-coverage period (29.1% vs. 61.1%; p = 0.039). RRSO patients' co-payment rates decreased from 64% to 25% pre- and post-coverage. CONCLUSIONS: Our findings suggest that decreased co-payments were the primary reason for these increases. Insurance coverage is an important factor when promoting preventive medical services such as RRSO.

Differential diagnosis of uterine adenosarcoma: identification of JAZF1-BCORL1 rearrangement by comprehensive cancer genomic profiling.

BACKGROUND: Uterine adenosarcoma is a rare malignant tumor that accounts for 8% of all uterine sarcomas, and less than 0.2% of all uterine malignancies. However, it is frequently misdiagnosed in clinical examinations, including pathological diagnosis, and imaging studies owing to its rare and non-specific nature, which is further compounded by the lack of specific diagnostic markers. CASE PRESENTATION: We report a case of uterine adenosarcoma for which a comprehensive genomic profiling (CGP) test provided a chance to reach the proper diagnosis. The patient, a woman in her 60s with a history of uterine leiomyoma was diagnosed with an intra-abdominal mass post presentation with abdominal distention and loss of appetite. She was suspected to have gastrointestinal stromal tumor (GIST); the laparotomically excised mass was found to comprise uniform spindle-shaped cells that grew in bundles with a herringbone architecture, and occasional myxomatous stroma. Immunostaining revealed no specific findings, and the tumor was diagnosed as a spindle cell tumor/suspicious adult fibrosarcoma. The tumor relapsed during postoperative follow-up, and showed size reduction with chemotherapy, prior to regrowth. CGP was performed to identify a possible treatment, which resulted in detection of a JAZF1-BCORL1 rearrangement. Since the rearrangement has been reported in uterine sarcomas, we reevaluated specimens of the preceding uterine leiomyoma, which revealed the presence of adenosarcoma components in the corpus uteri. Furthermore, both the uterine adenosarcoma and intra-abdominal mass were partially positive for CD10 and BCOR staining. CONCLUSION: These results led to the conclusive identification of the abdominal tumor as a metastasis of the uterine adenosarcoma. The JAZF1-BCORL1 rearrangement is predominantly associated with uterine stromal sarcomas; thus far, ours is the second report of the same in an adenosarcoma. Adenosarcomas are rare and difficult to diagnose, especially in atypical cases with scarce glandular epithelial components. Identification of rearrangements involving BCOR or BCORL1, will encourage BCOR staining analysis, thereby potentially resulting in better diagnostic outcomes. Given that platinum-based chemotherapy was proposed as the treatment choice for this patient post diagnosis with adenosarcoma, CGP also indirectly contributed to the designing of the best-suited treatment protocol.