A comprehensive population-based study of malignant ovarian tumors, including histologic and immunohistochemical review, in children and adolescents 0-19 years old in Sweden between 1970 and 2014.

OBJECTIVES: Ovarian tumors in the pediatric population are rare. The incidence and frequency of subtypes differ between children and adults. Although not all tumors are aggressive, they may still lead to morbidity. The goal of this study was a comprehensive review of malignant ovarian tumors in children and adolescents diagnosed and registered in Sweden. METHODS: Individuals were identified through a search in the National Cancer Register, limited for ages 0-19, years 1970-2014. Stored tumor diagnostic material from regional biobanks was retrieved and reviewed. RESULTS: The study includes 345 individuals with ovarian tumors and 70.7% of them were between 15 and 19 years at time of diagnosis. No differences in incidence over time or geographic location were identified. The average follow-up time was 21.2 years and 5-year survival was 88.4%. Survival was similar in the different time periods, except for 1970-1979. Review was possible for 260 cases, resulting in 85 epithelial tumors, 121 GCTs, 47 SCSTs and 7 others. For age 0-4 years SCSTs dominated (85.7%), for 5-9- and 10-14-years GCTs dominated (70,8% and 75.0% respectively), and for age 15-19 years epithelial tumors dominated (43.8%). There was a strong agreement between review diagnosis and original diagnosis (Cohen's κ 0.944). Differentiating between entities within the sex cord-stromal group posed the biggest diagnostic challenge. CONCLUSIONS: Ovarian tumors in children and adolescents are rare and distinct from their adult counterparts regarding incidence and frequency. There was a strong concurrence between original and review diagnoses. The greatest diagnostic difficulty was subtyping of epithelial tumors and differentiating between tumors within the SCST group.

Prognostic performance of the 2023 FIGO staging schema for endometrial cancer.

OBJECTIVE: To assess the prognostic performance of the 2023 International Federation of Gynecology and Obstetrics (FIGO) endometrial cancer staging schema. METHODS: This retrospective cohort study queried the Commission-on-Cancer's National Cancer Database. Study population was 129,146 patients with stage I-IV endometrial cancer per the 2009 FIGO staging schema. Stage-shifting and overall survival (OS) were assessed according to the 2023 FIGO staging schema. RESULTS: Upstage (IA → II, 21.4 %; IB → II, 53.0 %) and downstage (IIIA→IA3, 22.2 %) occurred in both early and advanced diseases. Inter-stage prognostic performance improved in the 2023 schema with widened 5-year OS rate difference between the earliest and highest stages (68.2 % to 76.9 %). Stage IA1-IIB and IIC had distinct 5-year OS rate differences (85.8-96.1 % vs 75.4 %). The 5-year OS rate of the 2009 stage IIIA disease was 63.9 %; this was greater segregated in the 2023 schema: 88.0 %, 62.4 %, and 55.7 % for IIIA→IA3, IIIA1, and IIIA2, respectively (inter-substage rate-difference, 32.3 %). This 5-year OS rate of stage IA3 disease was comparable to the 2023 stage IB-IIB diseases (88.0 % vs 85.8-89.5 %). In the 2023 stage IIIC schema (micrometastasis rates: 29.6 % in IIIC1 and 15.6 % in IIIC2), micrometastasis and macrometastasis had the distinct 3-year OS rates in both pelvic (IIIC1-i vs IIIC1-ii, 84.9 % vs 71.1 %; rate-difference 13.8 %) and para-aortic (IIIC2-i vs IIIC2-ii, 82.9 % vs 65.2 %; rate-difference 17.7 %) nodal metastasis cases. The 5-year OS rate of the 2009 stage IVB disease was 23.4 %; this was segregated to 25.4 % for stage IVB and 19.2 % for stage IVC in the 2023 staging schema (rate-difference, 6.2 %). CONCLUSION: The 2023 FIGO endometrial cancer staging schema is a major revision from the 2009 FIGO schema. Almost doubled enriched sub-stages based on detailed anatomical metastatic site and incorporation of histological information enable more robust prognostication.

p53 Abnormal (Copy Number High) Endometrioid Endometrial Carcinoma Has a Prognosis Indistinguishable From Serous Carcinoma.

Among the 4 molecular subgroups of endometrial carcinoma, the p53 abnormal (copy number high) subgroup has the worst prognosis; however, the histologic characteristics of this subgroup are not well established. Also, it is not well established whether low-grade tumors can belong to the p53 abnormal molecular subgroup and if so, what is the prognostic significance of the p53-mutated molecular subgroup in low-grade tumors. In the current study, we included 146 p53-mutated endometrial carcinomas and performed molecular subgrouping either based on a combination of immunohistochemical studies for p53 and MMR protein expression and POLE mutation testing (81 cases) or based on array-based and sequencing-based technologies (65 cases). We excluded cases that belonged to the POLE mutant or MSI molecular subgroups and only studied p53 abnormal (molecular subgroup) endometrial carcinomas (125 cases). In 71 cases, the molecular subgroup was determined by a combination of immunohistochemical studies and POLE mutation testing, and in 54 cases by array-based and sequencing-based methods. We reviewed 1 to 2 representative digital slides from each case and recorded the morphologic characteristics as well as clinical, treatment, and survival follow-up data. Overall, 47 cases were classified as endometrioid carcinoma, 55 serous carcinoma, and 23 other histotypes. Eight cases were FIGO 1, 21 were FIGO 2, and 91 were FIGO 3. A significant proportion of the cases (24.2%) were histologically classified as low-grade (FIGO 1 or 2) endometrioid carcinoma. There was no morphologic characteristic that showed prognostic implication. There was no significant difference in survival among different histotypes (P=0.60). There was no significant difference in survival among low-grade endometrioid (FIGO 1 or 2) versus high-grade (FIGO 3) tumors (P=0.98). Early-stage (stage I), low-grade tumors showed no significant survival advantage over early-stage, high-grade tumors (P=0.16) and this was more evident in FIGO 2 tumors. Although not statistically significant, the FIGO 2 tumors showed a trend toward worse survival than FIGO 3 tumors. Among the cases with available treatment data, more patients with early-stage high-grade tumors received adjuvant treatment, compared to patients with early-stage low-grade tumors, possibly explaining this trend (P=0.03). In conclusion, the findings of our study suggest that low-grade p53 abnormal endometrioid endometrial carcinomas (especially FIGO 2 tumors) have an aggressive course, with a prognosis similar to high-grade tumors. Furthermore, our study suggests that patients who had early-stage low-grade p53 abnormal disease might have been undertreated because of the "low-grade" histotype.

FOXL2 Mutation Status in Sex Cord-stromal Tumors Cannot be Predicted by Morphology.

Granulosa-cell tumors (GCTs) are the most common type of malignant ovarian sex cord-stromal tumor (SCST). The histopathologic diagnosis of these tumors can be challenging. A recurrent somatic mutation of the forkhead box L2 (FOXL2) gene has been identified in adult GCT. In this retrospective single-center study of 44 SCST, a morphologic review together with analysis of FOXL2 C134W was evaluated in relation to tumor morphology. In addition, TERT promoter mutation testing was performed. Twelve of 36 cases got an altered diagnosis based on morphology alone. The overarching architectural growth pattern in 32/44 (72.7%) tumors was diffuse/solid with several tumors showing markedly heterogeneous architecture. In correlation to FOXL2 C134W mutation status, cytoplasmic color, and nuclear shape, differed between the FOXL2 C134W positive and FOXL2 C134 W negative groups, but these differences were not significant when comparing them separately. Nineteen of 44 cases underwent TERT promoter sequencing with a positive result in 3 cases; 2 adult GCTs and 1 cellular fibroma. Three patients developed a recurrence of which 2 were FOXL2 C134W positive adult GCTs and the third was an unclassified SCST. In conclusion, the morphologic and immunohistochemical diagnosis of different SCSTs is challenging and one cannot reliably identify FOXL2 mutation-positive tumors solely by morphologic features. Therefore, broad use of molecular analysis of the FOXL2 C134W mutation is suggested for SCSTs, and further studies are needed to evaluate the clinical outcome of these tumors as well as the diagnostic and prognostic implications of TERT promoter mutations.

Dietary Quality Evidenced by the Healthy Eating Index and Cardiovascular Disease Risk Factors in Kuwaiti Schoolchildren.

BACKGROUND: Poor dietary quality is associated with adiposity and other risks of cardiovascular disease (CVD) in children. In Kuwait, although children's food choices are a concern, no studies have evaluated dietary quality relative to the risk of CVD in Kuwaiti schoolchildren. This study hypothesized that dietary quality using the Healthy Eating Index (HEI) is associated with CVD risk factors in children and that there are associated sex differences. OBJECTIVE: Our main objective was to evaluate the dietary quality of schoolchildren and investigate whether poor HEI scores are associated with CVD risk and if there are sex differences. METHODS: This was a cross-sectional study of Kuwaiti fifth graders (n = 313; 53% girls; mean age = 10.4 ± 0.4 years) who completed an adapted Block Kids 2004 food frequency questionnaire. Anthropometric, blood pressure, and biochemical data were also measured. HEI-2010 and HEI-2015 scores were calculated. STATISTICS: A general linear model and logistic regression were applied, controlling for moderate-vigorous physical activity (MVPA) and screen time (ST). RESULTS: The total HEI-2010 and HEI-2015 scores were 58 and 52 points, respectively; a trend analysis indicated that more girls than boys had poor (≤50 points) HEI-2015 scores (p < 0.063). The maximum scores for total vegetables (p < 0.001), dairy (p < 0.034), and fatty acids (p < 0.01) were significantly higher in girls, while the maximum scores for whole grains (p < 0.046) and protein (p < 0.006), but not sodium (p < 0.009), were higher in boys. Obesity was inversely associated with poor total HEI 2010 and HEI 2015 scores (OR: 0.347, 95% CI: 0.234 - 0.516, p < 0.001 and OR: 0.561, 95% CI: 0.391-0.805, p < 0.002, respectively). However, the correlation was lost after adjustment for possible confounding factors. CONCLUSIONS: Dietary quality for children overall in this study was low, and there was only a weak association between poor scores and elevated blood pressure and none between scores and obesity. These findings have public health implications and warrant further investigation and attention.

Diagnosis Shift in Site of Origin of Tubo-Ovarian Carcinoma.

OBJECTIVE: To assess population-level trends, characteristics, and outcomes of high-grade serous tubo-ovarian carcinoma in the United States. METHODS: This retrospective cohort study queried the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The study population was 27,811 patients diagnosed with high-grade serous tubo-ovarian carcinoma from 2004 to 2020. The exposure was the primary cancer site (ovary or fallopian tube). Main outcome measures were temporal trends, clinical characteristics, and overall survival associated with primary cancer site assessed in multivariable analysis. RESULTS: The study population comprised 23,967 diagnoses of high-grade serous ovarian carcinoma and 3,844 diagnoses of high-grade serous fallopian tubal carcinoma. The proportion of diagnoses of high-grade serous fallopian tubal carcinoma increased from 365 of 7,305 (5.0%) in 2004-2008 to 1,742 of 6,663 (26.1%) in 2017-2020. This increase was independent in a multivariable analysis (adjusted odds ratio [aOR] vs 2004-2008, 2.28 [95% CI, 1.98-2.62], 3.27 [95% CI, 2.86-3.74], and 6.65 [95% CI, 5.84-7.57] for 2009-2012, 2013-2016, and 2017-2020, respectively). This increase in high-grade serous fallopian tubal carcinoma was seen across age groups (4.3-5.8% to 22.7-28.3%) and across racial and ethnic groups (4.1-6.0% to 21.9-27.5%) (all P for trend <.001). Among the cases of tumors smaller than 1.5 cm, the increase was particularly high (16.9-67.6%, P for trend <.001). Primary-site tumors in the high-grade serous fallopian tubal carcinoma group were more likely to be smaller than 1.5 cm (aOR 8.26, 95% CI, 7.35-9.28) and unilateral (aOR 7.22, 95% CI, 6.54-7.96) compared with those in high-grade serous ovarian carcinoma. At the cohort level, the diagnosis shift to high-grade serous fallopian tubal carcinoma was associated with narrowing differences in survival over time between the two malignancy groups: adjusted hazard ratio 0.84 (95% CI, 0.74-0.96), 0.91 (95% CI, 0.82-1.01), 1.01 (95% CI, 0.92-1.12), and 1.12 (95% CI, 0.98-1.29) for 2004-2008, 2009-2012, 2013-2016, and 2017-2020, respectively. CONCLUSION: This population-based assessment suggests that diagnoses of high-grade serous tubo-ovarian carcinoma in the United States have been rapidly shifting from high-grade serous ovarian to fallopian tubal carcinoma in recent years, particularly in cases of smaller, unilateral tumors.

Lymph Node Isolated Tumor Cells in Patients With Endometrial Cancer.

Importance: Isolated tumor cells (ITCs) are the histopathological finding of small clusters of cancer cells no greater than 0.2 mm in diameter in the regional lymph nodes. For endometrial cancer, the prognostic significance of ITCs is uncertain. Objective: To assess clinico-pathological characteristics and oncologic outcomes associated with ITCs in endometrial cancer. Design, Setting, and Participants: This retrospective cohort study using the National Cancer Database included patients with endometrial cancer who had primary hysterectomy and nodal evaluation from 2018 to 2020. Patients with microscopic and macroscopic nodal metastases and distant metastases were excluded. Data were analyzed from June to September 2023. Exposure: Regional nodal status with ITCs (N0[i+] classification) or no nodal metastasis (N0 classification). Main Outcomes and Measures: (1) Clinical and tumor characteristics associated with ITCs, assessed with multivariable binary logistic regression model, and (2) overall survival (OS) associated with ITCs, evaluated by nonproportional hazard analysis with restricted mean survival time at 36 months. Results: A total of 56 527 patients were included, with a median (IQR) age of 64 (57-70) years. The majority had T1a lesion (37 836 [66.9%]) and grade 1 or 2 endometrioid tumors (40 589 [71.8%]). ITCs were seen in 1462 cases (2.6%). In a multivariable analysis, ITCs were associated with higher T classification, larger tumor size, lymphovascular space invasion (LVSI), and malignant peritoneal cytology. Of those tumor factors, LVSI had the largest association with ITCs (7.9% vs 1.4%; adjusted odds ratio [aOR], 4.37; 95% CI, 3.87-4.93), followed by T1b classification (5.3% vs 1.3%; aOR, 2.62; 95% CI, 2.30-2.99). At the cohort level, 24-month OS rates were 94.3% (95% CI, 92.4%-95.7%) for the ITC group and 96.1% (95% CI, 95.9%-96.3%) for the node-negative group, and the between-group difference in expected mean OS time at 36 months was 0.35 (SE, 0.19) months, but it was not statistically significant (P = .06). There was a statistically significant difference in OS when the low-risk group (stage IA, grade 1-2 endometrioid tumors with no LVSI) was assessed per nodal status and adjuvant therapy use (P < .001): (1) among the cases treated with surgical therapy alone, 24-month OS rates were 95.9% (95% CI, 89.5%-98.5%) for the ITC group and 98.8% (95% CI, 98.6%-99.0%) for the node-negative group, and the between-group mean OS time difference at 36 months was 0.61 (SE, 0.43) months (P = .16); and (2) among the cases with ITCs, adjuvant therapy (radiotherapy alone, systemic chemotherapy alone, or both) was associated with improved survival compared with no adjuvant therapy (24-month OS rates, 100% vs 95.9%; between-group mean OS time difference at 36 months, 0.95 [SE, 0.43] months; P = .03). Conclusions and Relevance: In this cohort study of patients with surgically staged endometrial cancer, the results of exploratory analysis suggested that presence of ITCs in the regional lymph node may be associated with OS in the low-risk group. While adjuvant therapy was associated with improved OS in the low-risk group with ITCs, careful interpretation is necessary given the favorable outcomes regardless of adjuvant therapy use. This hypothesis-generating observation in patients with low-risk endometrial cancer warrants further investigation, especially with prospective setting.

Genome resources for three modern cotton lines guide future breeding efforts.

Cotton (Gossypium hirsutum L.) is the key renewable fibre crop worldwide, yet its yield and fibre quality show high variability due to genotype-specific traits and complex interactions among cultivars, management practices and environmental factors. Modern breeding practices may limit future yield gains due to a narrow founding gene pool. Precision breeding and biotechnological approaches offer potential solutions, contingent on accurate cultivar-specific data. Here we address this need by generating high-quality reference genomes for three modern cotton cultivars ('UGA230', 'UA48' and 'CSX8308') and updating the 'TM-1' cotton genetic standard reference. Despite hypothesized genetic uniformity, considerable sequence and structural variation was observed among the four genomes, which overlap with ancient and ongoing genomic introgressions from 'Pima' cotton, gene regulatory mechanisms and phenotypic trait divergence. Differentially expressed genes across fibre development correlate with fibre production, potentially contributing to the distinctive fibre quality traits observed in modern cotton cultivars. These genomes and comparative analyses provide a valuable foundation for future genetic endeavours to enhance global cotton yield and sustainability.

Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning.

Ovarian cancer, a potentially life-threatening disease, is often difficult to treat. There is a critical need for innovations that can assist in improved therapy selection. Although deep learning models are showing promising results, they are employed as a "black-box" and require enormous amounts of data. Therefore, we explore the transferable and interpretable prediction of treatment effectiveness for ovarian cancer patients. Unlike existing works focusing on histopathology images, we propose a multimodal deep learning framework which takes into account not only large histopathology images, but also clinical variables to increase the scope of the data. The results demonstrate that the proposed models achieve high prediction accuracy and interpretability, and can also be transferred to other cancer datasets without significant loss of performance.