A quality improvement project: Rapid Access Hysteroscopy Clinics with nurse pre-procedural telephone support in the outpatient setting.

AIM: Endometrial cancer (EC) is increasing in incidence in women across Aotearoa New Zealand as risk factors such as obesity and diabetes become more prevalent. In 2022, a Rapid Access Clinic (RAC) for hysteroscopy was implemented at Te Whatu Ora Counties Manukau District to increase early detection of EC. METHOD: Plan-Do-Study-Act (PDSA) cycles were used to test and implement RAC supported by a nurse pre-procedural phone consultation. Quantitative data was collected alongside patient experiences of the pre-procedural telephone call. RESULTS: A total of 207 women successfully completed RAC, which enabled one less visit to clinic per patient, subsequent travel cost savings (NZ$35,959) and a decrease in CO2 emissions (1,782kg). Lead time from first specialist appointment (FSA) to outpatient (OP) hysteroscopy, previously 25 days (SD: 21 days), was eliminated. Wait time from referral to provisional diagnosis increased from 26 days to 31 days; however, standard variation reduced from 30 days to 15 days. Clinician productivity increased by 25% per hysteroscopy session. Twenty-six out of 30 patients reported positive experiences of their pre-procedural RAC phone consultation. Twenty-seven out of 207 women were diagnosed with endometrial cancer from RAC. CONCLUSION: RAC are patient-centric and have demonstrated valuable benefits for both clinicians and women with a high suspicion of EC.

Primary yolk sac tumor of the endometrium combined with situs inversus totalis: a case report and literature review.

BACKGROUND: Yolk sac tumor (YST) is a highly malignant germ cell tumor, a majority of which originate from the gonads and are extremely rare from endometrium. CASE PRESENTATION: Here we present a case of a 42-year-old woman suffered from primary pure yolk sac tumor of the endometrium complicated with situs inversus totalis. The patient presented at our hospital with irregular vaginal bleeding. Imageological examination showed a space-occupying lesion in the cervix and the serum Alpha-fetoprotein (AFP) level was significantly high (more than 1210ng/ml). Then she underwent total hysterectomy, bilateral salpingo-oophorectomy and pelvic lymph node dissection. The subsequent postoperative pathological diagnosis was yolk sac tumor arising from the endometrium. Next, the patient was treated with 6 cycles of chemotherapy with Pingyangmycin, etoposide and cisplatin regimen and was alive without evidence of recurrence or distant metastases for 13 months. CONCLUSIONS: This rare disease needs to be differentiated from endometrial epithelial neoplasia and the significant increase in AFP is helpful for diagnosis. Combined with previous literature reports, comprehensive staging laparotomy or maximum cytoreductive surgery complemented by standard chemotherapy can usually achieve a good efficacy.

IL-4, IL-7, IL-9, NT, NRP1 May Be Useful Markers in the Diagnosis of Endometrial Cancer.

The search for novel endometrial cancer diagnostic biomarkers is pertinent. The purpose of this study was to determine if IL-4, IL-7, IL-9, IL-10, NT, TSP-2, and NRP1 could be used as novel, helpful markers for the detection of endometrial cancer. Ninety-three women diagnosed with endometrial cancer (EC) and sixty-six patients with noncancerous endometrial lesions (NCEL) were included in this study. ELISA was used to measure the concentrations of the proteins tested. Median serum levels of IL-4, IL-7, IL-9, NT, and NRP1 were significantly higher in the EC group compared with NCEL. The cut-off level of IL-4 was set at 802.26 pg/mL with a sensitivity of 83.87% and a specificity of 50% (AUC = 0.7, p = 0.000023). The cut-off level of IL-7 was set at 133.63 ng/L with a sensitivity of 96.77% and a specificity of 75.76% (AUC = 0.91, p < 0.000001). The cut-off level of IL-9 was set at 228.79 pg/mL with a sensitivity of 69.89% and a specificity of 81.82% (AUC = 0.8, p < 0.000001). The cut-off level of NT was set at 275.43 pmol/L with a sensitivity of 94.62% and a specificity of 59.09% (AUC = 0.83, p < 0.000001). The cut-off level of NRP1 was set at 30.37 ng/mL with a sensitivity of 81.72% and a specificity of 57.58% (AUC = 0.71, p = 0.000004). This study suggests the clinical utility of IL-4, IL-7, IL-9, NT, and NRP1 in the diagnosis of endometrial cancer. Nevertheless, these biomarkers may also have prognostic or predictive value, which should be tested in future studies.

Combining demographic data and transvaginal ultrasonography: a predictive model for endometrial carcinoma in postmenopausal patients.

BACKGROUND: Although clinical guidelines exist for diagnosing abnormal uterine bleeding, there is a significant lack of agreement on the best management strategies for women presenting with symptom, particularly in diagnosing endometrial cancer. This study aimed to develop a preoperative risk model that utilizes demographic factors and transvaginal ultrasonography of the endometrium to assess and predict the risk of malignancy in females with endometrial cancer. METHODS: In this retrospective study, a logistic regression model was developed to predict endometrial carcinoma using data from 356 postmenopausal women with endometrial lesions and an endometrial thickness (ET) of 5 mm or more. These patients had undergone transvaginal ultrasonography prior to surgery, with findings including 247 benign and 109 malignant cases. The model's predictive performance was evaluated using receiver operating characteristic (ROC) curve analysis and compared with post-surgical pathological diagnoses. RESULTS: Our model incorporates several predictors for endometrial carcinoma, including age, history of hypertension, history of diabetes, body mass index (BMI), duration of vaginal bleeding, endometrial thickness, completeness of the endometrial line, and endometrial vascularization. It demonstrated a strong prediction with an area under the curve (AUC) of 0.905 (95% CI, 0.865-0.945). At the optimal risk threshold of 0.33, the model achieved a sensitivity of 82.18% and a specificity of 92.80%. CONCLUSIONS: The established model, which integrates ultrasound evaluations with demographic data, provides a specific and sensitive method for assessing and predicting endometrial carcinoma.

SOX17 expression in mesonephric-like adenocarcinomas and mesonephric remnants/hyperplasia of the female genital tract: Expanding its utility as a Müllerian biomarker.

AIMS: Recently, SOX17 has emerged as a promising biomarker for non-mucinous Müllerian (ovarian and endometrial) carcinomas, demonstrating increased specificity in comparison to PAX8 while maintaining similar sensitivity. However, expression of SOX17 in mesonephric-like adenocarcinoma (MLA), a carcinoma of the female genital tract with uncertain, but probably Müllerian histogenesis, remains unexplored. This study aims to address this gap. METHODS AND RESULTS: SOX17 immunohistochemistry was performed on whole tissue sections from 68 MLAs originating from the endometrium or ovary and seven cervical mesonephric carcinomas, as well as six mesonephric remnants/hyperplasias. Using a four-tiered scoring system based on distribution and intensity of staining, 68% of MLA displayed a negative/low (< 10%) SOX17 expression pattern, which contrasts with the high expression observed in most Müllerian carcinomas. However, 22% of MLA demonstrated high SOX17 expression, similar to other endometrial and ovarian carcinomas. Similarly, five of seven (72%) mesonephric carcinomas of the cervix were SOX17-negative, but two cases (28%) were positive. All mesonephric remnants/hyperplasias were SOX17 negative. CONCLUSIONS: The majority of MLA are negative or exhibit low SOX17 expression, in contrast to the diffuse and strong expression commonly seen in other types of Müllerian carcinoma. However, a subset of MLAs demonstrate high SOX17 expression. Therefore, absence of SOX17 staining is supportive for MLA when the differential includes another non-mucinous Müllerian carcinoma. SOX17 may also be useful for differentiating mesonephric remnants/hyperplasias from Müllerian malignancies and benign Müllerian glandular lesions.

Tissue factor pathway inhibitor 2 as a serum biomarker for endometrial cancer: a single-center retrospective study.

BACKGROUND: Endometrial cancer is the most common gynecological malignancy; however, there is no useful blood diagnostic biomarker. This study aimed to determine the utility of tissue factor pathway inhibitor 2 (TFPI2), a biomarker of ovarian cancer, as a diagnostic marker for endometrial cancer. METHODS: We examined serum TFPI2 levels in patients with endometrial cancer (n = 328) compared to those in healthy controls (n = 65) and evaluated the performance of serum TFPI2 levels as a diagnostic marker. We investigated the clinicopathological characteristics of patients with TFPI2-negative and TFPI2-positive endometrial cancer. Using immunohistochemistry (IHC), we examined TFPI2 expression in tumor tissues of 105 patients with type II endometrial carcinoma and evaluated the correlation between serum and tissue TFPI2 positivity. RESULTS: Patients with endometrial cancer had significantly higher serum TFPI2 levels than controls (196.7 pg/mL vs. 83.3 pg/mL; p < 0.001). The sensitivity and specificity were 54.3% and 95.4%, respectively (cutoff value, 191 pg/mL). Serum TFPI2 levels were significantly elevated along with the stage progression (stage I, 189.6 pg/mL; stage III, 230.9 pg/mL; stage IV, 312.5 pg/mL; p < 0.001). Patients with high-risk histology showed significantly elevated serum TFPI2 levels than those with low-risk histology (220.8 pg/mL vs. 187.7 pg/mL; p < 0.001). The positivity rate for TFPI2 was the highest among tumor markers, including CA125, CA19-9, and CEA. Serum TFPI2 and CA125 levels were almost independent (r = 0.203, p < 0.001), and the combined sensitivity increased to 58.8%. The 5-year survival rate was significantly worse in TFPI2-positive patients (≥ 191 pg/mL, n = 178) than in TFPI2-negative patients (< 191 pg/mL, n = 150) (hazard ratio, 8.22; 95% confidence interval, 2.49-27.1; p < 0.001). TFPI2 immunostaining revealed that 37.1% (39/105) of the samples were positive for TFPI2, with an IHC score of > 0. There was no significant difference in the immunostaining score according to histological type. Serum TFPI2 levels and immunostaining score showed poor agreement (kappa coefficient, -0.039). CONCLUSIONS: The serum TFPI2 level is a promising marker for diagnosing and predicting the prognosis of endometrial cancer. No correlation exists between serum and tissue TFPI2 levels. Further multicenter clinical trials are needed to test the utility of TFPI2 as a diagnostic marker.

Prognostic effect of the pretreatment prognostic nutritional index in cervical, ovarian, and endometrial cancer: a meta-analysis.

BACKGROUND: The prognostic value of the pretreatment prognostic nutritional index (PNI) for gynaecological malignancies remain unclear. This meta-analysis aimed to explore the predictive significance of the PNI for gynaecological tumours. METHODS: The PubMed, Embase, Web of Science, and Cochrane Library databases were searched up to January 30, 2024, to identify relevant studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the associations of the PNI with overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) in patients with gynaecological tumours. We examined the correlation of the PNI with clinicopathological parameters of patients with gynaecological carcinoma by utilizing pooled odds ratios (ORs) and 95% CIs. RESULTS: A total of 28 articles involving 9,428 patients were included in the meta-analysis. The results revealed that a low PNI significantly predicted worse OS (HR = 1.60, 95% CI: 1.39-1.84, P < 0.001), PFS (HR = 1.63, 95% CI: 1.20-2.23, P = 0.002), and DFS (HR = 1.73, 95% CI: 1.19-2.52, P = 0.004). In addition, the subgroup analysis confirmed that the PNI had a prognostic effect on OS for all cancer types, but a significant association with PFS was not observed in patients with cervical cancer. A low PNI was significantly associated with FIGO stages III‒IV (OR = 2.30, 95% CI: 1.89‒2.80, P < 0.001) and LN metastasis (OR = 2.76, 95% CI: 2. 05‒3.73, P < 0.001). CONCLUSION: The PNI may be noninvasive and promising biomarker for predicting the prognosis of patients with gynaecological tumours.

[Endometrial carcinoma: molecular classification in routine pathology]. / Endometriumkarzinom: molekulare Klassifikation in der Routinepathologie.

The molecular classification of endometrial carcinoma defines four main groups: polymerase­É›(PolE) gene mutated, microsatellite unstable (MSI), p53 abnormal tumors and tumors with no specific molecular profile (NSMP). This classification provides significant insights into the prognosis and therapeutic decisions. Each group exhibits unique genetic profiles identified through immunohistochemistry and molecular diagnostics, enabling personalized treatment. The identification of these molecular signatures necessitates precise analytical methods, selected based on the local circumstances at each site. The approach to molecular classification highlights the critical role of pathology in the diagnosis and emphasizes the necessity of collaboration between the clinic and pathology.

A rare case of concomitant endometrioid adenocarcinoma arising from uterine adenomyosis and clear cell carcinoma arising from parametrial deep endometriosis.

BACKGROUND: Carcinomatous changes from the ectopic endometrial glands in endometriosis have been reported in many studies, but malignant transformation from uterine adenomyosis/adenomyoma is rare. And clear cell-like adenocarcinoma represents a seldom-encountered malignant pathological variant of ectopic endometrium. CASE PRESENTATION: This case report presents a case of a 44-year-old nulliparous woman begun with abdominal pain and intestinal obstruction. Past medical history showed laparoscopic ovarian endometriotic cyst excision. Ultrasound indicated adenomyoma and a parametrial hypoechoic nodule with abundant blood flow signals and unclear boundaries. Deep invasive endometriosis was considered preoperatively. The patient underwent laparoscopic subtotal hysterectomy and bilateral adnexa resection. Chocolate cyst-like lesion was observed in the parametral lesion. Postoperative pathological examinations suggested endometrioid adenocarcinoma arising from eutopic endometrium and adenomyoma. Ectopic endometrium in the myometrium combined with atypical hyperplasia and formation of endometrioid adenocarcinoma. Left parametrial lesions suggested poorly differentiated endometrioid adenocarcinoma combined with clear cell carcinoma. CD10 + endometrial stromal cells were observed surrounding tumor cell masses. Combined with surgical founding and pathological characters of the left parametrial adenocarcinoma, the parametrial lesions were more likely to be carcinomatous changes of the original deep endometriosis.The patient underwent subsequent transabdominal tumor cell reduction surgery and chemotherapy. CONCLUSION: We herein present a rare case of combined endometrioid adenocarcinoma arising from uterine adenomyosis and clear cell carcinoma arising from parametrial deep endometriosis that may help inspire additional studies in the future. The patient underwent robot-assisted laparoscopic subtotal hysterectomy, bilateral adnexa resection, deep endometriosis lesion resection and bilateral ureteral stent placement. Following surgery, a chemotherapy regimen of Taxol and Carboplatin was administered.

Prognostic performance of FIGO 2023 endometrial carcinoma staging: a comparison to FIGO 2009 staging in the setting of known and unknown molecular classification.

AIMS: The 2023 FIGO staging criteria for endometrial cancer (EC) introduced marked changes from the 2009 version. The full implication of these changes for patient diagnosis and treatment is unknown. We evaluate the differences in staging and prognostication between the two systems, with and without inclusion of molecular classification. METHODS AND RESULTS: We assigned (1) FIGO 2009, (2) 2023 molecular-agnostic and (3) 2023 molecular-informed stages to 404 fully staged and molecularly classified patients with EC. Disease-specific and progression/relapse-free survival were analysed via the Kaplan-Meier method and compared with log-rank testing; 118 of 252 (47%) FIGO 2009 stage I patients were upstaged based on histopathological findings alone. Stage I/II subgroup survival distribution analysis showed a worse prognosis in FIGO 2023 IIB and IIC patients. In the molecular-informed FIGO 2023 system, three of 15 (20%) POLE-mutated stage I/II cases were downstaged from FIGO 2009 and eight (53%) were downstaged from molecular-agnostic FIGO 2023. Fifty-one of 60 (85%) p53-abnormal tumours were upstaged from the FIGO 2009, whereas 13 of 60 (22%) were upstaged from the 2023 molecular-agnostic stage. Molecular classification improved prognostic stratification for both 2009 and 2023 FIGO systems. CONCLUSIONS: Downstaging based on POLE mutation more accurately represents patient outcomes. However, in the absence of known POLE status, applying molecular-agnostic FIGO 2023 criteria for stage I/II disease should be conducted with caution. For aggressive histotypes, additionally reporting FIGO 2009 stage should be considered. Upstaging based on substantial lymphovascular space invasion, aggressive histotype with any myometrial invasion and abnormal p53 improves prognostic discernment. Further subdivisions within stage I/II provide minimal additional prognostic information.

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.

New clinicopathological concept of endometrial carcinoma with integration of histological features and molecular profiles.

The dual-stratified pathway of endometrial carcinomas (ECs) has long been dominant. However, in 2013, The Cancer Genome Atlas (TCGA) defined four EC subgroups with distinctive prognoses. Inspired by TCGA, in 2018, the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) provided four pragmatic molecular classifiers to apply surrogate immunohistochemical markers to TCGA subgroup categorization. These trends prompted the revision of 2020 WHO Classification of Female Genital Tumors, 5th edition (2020 WHO classification), in which four molecular subtypes are recognized: POLE-ultramutated; mismatch repair-deficient; p53-mutant; and no specific molecular profile. In the 2020 WHO classification, the diagnostic algorithm is characterized by prioritizing POLEmut over other molecular abnormalities. Following the 2020 WHO classification, Federation of International Gynecology and Obstetrics (FIGO) proposed a new staging system in 2023. The updated system focuses on diagnostic parameters, such as histological type and grade, lymphovascular space invasion, and molecular alterations. These new histomolecular diagnostic concepts of ECs are being accordingly introduced into the routine pathology practice. For the first time, the 2020 WHO classification includes mesonephric-like adenocarcinoma (MLA) as a novel histological entity, mimicking the conventional mesonephric adenocarcinoma, but is considered of Müllerian ductal origin.

Colombian consensus for the molecular diagnosis of endometrial cancer / Consenso colombiano para el diagnóstico molecular del cáncer de endometrio.

Objective: The Cancer Genome Atlas research program (TCGA) developed the molecular classification for endometrial cancer with prognostic and therapeutic utility, which was replaced by the ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer) classification by consensus and international guidelines due to its high cost. This article aims to present national recommendations from an expert consensus that allows unification and implementation of the molecular classification for women with endometrial cancer nationwide, with a rational use of resources and technology. Methods: Consensus of 36 experts in clinical oncology, oncological gynecology, pathology, and genetics, with clinical practice in the national territory. The leader group performed a literature review and structuring of questions rated 1 to 9 points. A modified nominal group technique was used. There was a face-to-face meeting with master presentations, deliberative dialogue, and Google Forms (Google LLC, Mountain View, CA, USA) questionnaire voting with analysis and discussion of responses. The non-consensual responses led to a second round of voting. The final manuscript was finally prepared and revised. Results: Seven recommendations were formulated integrating the panelist responses based on evidence, but adjusted to the Colombian context and reality. Recommendation 1. The molecular classification is recommended in all the endometrial cancers using the immunohistochemistry markers as subrogated results from the molecular profile initially proposed in the TCGA classification. Recommendation 2. The sequential test strategy is recommended, starting with the immunohistochemistry markers (p53, MLH1, MSH 2, MSH6, PMS2) simultaneously in all the patients, defining to request POLE (DNA polymerase epsilon) (if available) according to the risk classification based on the surgical piece. Recommendation 3. It is recommended, that the gynecologist oncologist should be the one to request the POLE (if available) according to the final pathology report. This test must be requested for all endometrial cancers stage I-II, except in low risk (stage IA low grade endometrioid histology without linfovascular invasion normal p53) and, stages III-IV without residual disease, without affecting the request of subrogated immunohistochemistry molecular markers upon histology. The consensus proposes that the POLE is requested after the immunohistochemistry and according to the categories in the risk classification established by the 2020 ESGO/ESTRO/ESP guidelines. Recommendation 4. It is recommended to perform immunohistochemistry for hormonal receptors for all women with endometrial cancer and the HER2 in patients with p53abn, simultaneously with the others immunohistochemistry markers. Recommendation 5. It is recommended to perform the immunohistochemistry markers (p53, MLH1, MSH2, MSH6 y PMS2) in an initial endometrial biopsy or curettage when the specimen is adequate and available. In case the initial immunohistochemistry is inconclusive, or there are histological discrepancies between the initial and definitive pathology, it is recommended to repeat the molecular profile in the surgical pathology. The immunohistochemistry markers must be reported in the pathology report according to the CAP (College of American Pathologists) recommendations, independently of the type of sample. Recommendation 6. It is recommended to perform MLH1 promoter methylation testing in patients who exhibit loss of expression of MLH1 in immunohistochemistry whether it is accompanied or not with loss of expression of PMS2. All the patients with deficient MMR (mismatch repair), should be sent for genetic counseling to rule out Lynch syndrome. Recommendation 7. It is recommended to consider the molecular classification in addition to the classical histopathological criteria when making adjuvant judgments, as incorporated by the classification of prognostic groups of the 2020 ESGO/ESTRO/ESP guidelines. Conclusions: It is necessary to implement the molecular classification of endometrial cancer in clinical practice in accordance to the Colombian context, due to its prognostic and probably predictive value. This will enable the characterization of the Colombian population in order to offer individualized guided treatments. This is an academic and nonregulatory document.

Objetivos: el programa Cancer Genome Atlas Research (TCGA) desarrolló la clasificación molecular para cáncer endometrial con utilidad pronóstica y terapéutica, la cual ha sido reemplazada por consensos y guías internacionales por la clasificación ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer) debido a su alto costo. El objetivo de este artículo es presentar recomendaciones a nivel nacional derivadas de un consenso de expertos que permitan unificar e implementar la clasificación molecular para mujeres con cáncer endometrial, mediante un uso racional de recursos y tecnología. Materiales y métodos: consenso de 36 expertos en oncología clínica, ginecología oncológica, patología y genética con práctica clínica en el territorio nacional. El grupo líder realizó una revisión de la literatura y estructuración de preguntas calificadas de 1 a 9 puntos. Se utilizó la técnica de grupo nominal modificada. Se efectuaron reuniones presenciales con presentaciones magistrales, diálogo deliberativo y votación de cuestionario Google Forms (Google LLC, Mountain View, CA, USA) con análisis y discusión de respuestas. Las respuestas no consensuadas se llevaron a una segunda ronda de votación. Finalmente, se elaboró y revisó el manuscrito final. Resultados: se formularon siete recomendaciones integrando las respuestas de las panelistas basadas en evidencia, pero ajustadas al contexto y a la realidad colombiana. Recomendación 1. Se recomienda realizar la clasificación molecular en todos los carcinomas endometriales utilizando los marcadores de inmunohistoquímica como resultados subrogados del perfil molecular inicialmente propuesto en la clasificación del TCGA. Recomendación 2. Se recomienda la estrategia secuencial de testeo iniciando por los marcadores de inmunohistoquímica (p53, MLH1, MSH 2, MSH6, PMS2) simultáneamente en todas las pacientes, y definir la solicitud del POLE (polimerasa épsilon del DNA) (si se encuentra disponible) de forma diferida de acuerdo con la clasificación de riesgo basado en la pieza quirúrgica. Recomendación 3. Se recomienda que sea el ginecólogo oncólogo quien solicite el POLE (si se encuentra disponible) de acuerdo con el reporte de patología definitivo. Esta prueba se debe solicitar a todos los cánceres endometriales de estadio I-II, excepto los de bajo riesgo (estadio IA endometrioide de bajo grado sin invasión linfovascular p53 normal) y estadio III-IV sin enfermedad residual, sin afectar la solicitud de los marcadores moleculares subrogados por inmunohistoquímica de acuerdo con la histología. El consenso propone que la solicitud del POLE se realice posterior a la inmunohistoquímica y de acuerdo con la clasificación del riesgo según las categorías establecidas por la guía ESGO/ESTRO/ESP del 2020. Recomendación 4. Se recomienda realizar simultáneamente con los otros marcadores de inmunohistoquímica la prueba para receptores hormonales en todas las pacientes con cáncer endometrial y el HER2 en pacientes con p53abn. Recomendación 5. Se recomienda que los marcadores de inmunohistoquímica (p53, MLH1, MSH2, MSH6 y PMS2) se realicen en la biopsia/legrado endometrial inicial cuando la muestra es adecuada y está disponible. En caso de inmunohistoquímica inicial no concluyente, o discrepancias histológicas entre la patología inicial y definitiva, se recomienda repetir el perfil molecular en la patología quirúrgica. Los marcadores de inmunohistoquímica deben reportarse en el informe de patología de acuerdo con las recomendaciones del CAP (College of American Pathologists), independientemente del tipo de muestra. Recomendación 6. Se recomienda realizar estudio de metilación de promotor de MLH1 en pacientes con pérdida de expresión de MLH1 en la inmunohistoquímica, acompañado o no de pérdida de expresión de PMS2. Todas las pacientes con déficit de MMR (mismatch repair), deben ser enviadas a genética para descartar síndrome de Lynch. Recomendación 7. Se recomienda tener en cuenta la clasificación molecular, además de los criterios histopatológicos clásicos para la toma de decisiones de adyuvancia, tal como los incorpora la clasificación de los grupos pronósticos de la guía ESGO/ ESTRO/ESP del 2020. Conclusiones: es necesario implementar la clasificación molecular de cáncer de endometrio en la práctica clínica acorde al contexto colombiano, dado su valor pronóstico y posiblemente predictivo. Esto permitirá la caracterización de la población colombiana para ofrecer tratamientos guiados de manera individualizada. Se trata de un documento académico y no regulatorio.

Elevated expression of ECT2 as a diagnostic marker and prognostic indicator in endometrial cancer.

OBJECTIVES: The study aims to investigate genes associated with endometrial cancer (EC) progression to identify new biomarkers for early detection. METHODS: Differentially expressed genes (DEGs), Series test of cluster (STC) and protein-protein interaction analyses identified hub genes in EC. Clinical samples were utilized to examine the expression pattern of ECT2, assess its prognostic value, and evaluate its diagnostic potential. RESULTS: Upregulated DEGs were significantly enriched in cancer-related processes and pathways. Validations across databases identified ASPM, ATAD2, BUB1B, ECT2, KIF14, NUF2, NCAPG, and SPAG5 as potential hub genes, with ECT2 exhibiting the highest diagnostic efficacy. The expression levels of ECT2 varied significantly across different clinical stages, pathological grades, and metastasis statuses in UCEC. Furthermore, ECT2 mRNA was upregulated in the p53abn group, indicating a poorer prognosis, and downregulated in the MMRd and NSMP groups, suggesting a moderate prognosis. In clinical samples, ECT2 expression increased from normal endometria and endometrial hyperplasia without atypia (EH) to atypical endometrial hyperplasia (AH) and EC, effectively distinguishing between benign and malignant endometria. High ECT2 expression was associated with an unfavourable prognosis. CONCLUSIONS: ECT2 expression significantly rises in AH and EC, showing high accuracy in distinguishing between benign and malignant endometria. ECT2 emerges as a promising biomarker for diagnosing endometrial neoplasia and as a prognostic indicator in EC.

High PLK3 levels are linked with less tumor invasion, lower FIGO stage and better prognosis of endometrial cancer.

Aim: To evaluate correlations of tumor PLK3 with clinical features and prognosis of resectable endometrial cancer (EC) patients.Methods: Tumor tissues from 200 EC patients receiving surgical resections and adjacent tissues from 50 of them were collected for PLK3 determination using immunohistochemistry.Results: Tumor PLK3 negatively linked with myometrial invasion ≥50%, lymphovascular invasion, stromal cervical invasion, and International Federation of Gynecology and Obstetrics stage (all p < 0.050). High tumor PLK3 independently related to longer disease-free survival (DFS) (p = 0.044) and overall survival (OS) (p = 0.049). Its prognostic value was also validated by time-dependent receiver operating characteristic analyses (area under curve at most timepoints was >0.700).Conclusion: Tumor PLK3 potentially reflects prolonged DFS and OS in EC patients undergoing surgical resections.

[Box: see text].

Cervicovaginal specimen biomarkers for early detection of ovarian and endometrial cancer: A review.

BACKGROUND: In the last decade, technical innovations have resulted in the development of several minimally invasive diagnostic cancer tools. Within women at high risk of developing ovarian or endometrial cancer (EC) due to hereditary cancer syndrome, there is an urgent need for minimally invasive and patient-friendly methods to detect ovarian cancer and EC at an early stage. MATERIALS AND METHODS: We performed a systematic search of studies using DNA methylation or mutation analysis, microbiome, or proteomics performed on cervicovaginal specimens (smear, swab, or tampon) intended to detect ovarian and EC published until January 2024. RESULTS: Included studies (n = 36) showed high heterogeneity in terms of biomarkers used and outcomes, and only a few studies reported on the detection of biomarkers in high-risk subgroups. CONCLUSION: Based on the findings in this review, DNA methylation techniques seem to be the most promising for detecting ovarian and EC at early stages in the general population. Future validation of cervicovaginal DNA methylation techniques is needed to determine whether this technique might be beneficial in hereditary high-risk subgroups.

DNA methylation detection is a significant biomarker for screening endometrial cancer in premenopausal women with abnormal uterine bleeding.

OBJECTIVE: The aim of our study was to explore the value of DNA (CDO1m/CELF4m) methylation detection in exfoliated cervical cells collected for screening endometrial cancer in premenopausal women with abnormal uterine bleeding. METHODS: A total of 296 premenopausal women with abnormal uterine bleeding admitted to the Department of Obstetrics and Gynecology at the Third Xiangya Hospital of Central South University from November 2021 to October 2022 were selected. Clinical characteristics, endometrial thickness measured by transvaginal ultrasound and serum CA125 were collected. Exfoliated cervical cells from the thinPrep cytogic test were collected for DNA (CDO1m/CELF4m) methylation testing. Endometrial tissue was collected under hysteroscopy for pathological diagnosis as the gold standard. A univariate logistic regression model was used to analyze risk factors for endometrial cancer. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to measure the diagnostic efficacy of DNA methylation detection in endometrial cancer screening of women with abnormal uterine bleeding. RESULTS: Univariate logistic regression analysis showed that age, body mass index (BMI) ≥25 kg/m2, endometrial thickness ≥11 mm, CDO1 methylation (CDO1mΔCt≤8.4), CELF4 methylation (CELF4mΔCt≤8.8), and dual gene methylation (CDO1mΔCt≤8.4 or CELF4mΔCt≤8.8) were independent risk factors for endometrial cancer in women with abnormal uterine bleeding. The odds ratio (OR) values (95% confidence interval (CI) were 0.87 (0.80-0.95), 4.76 (1.89-11.96), 8.41 (3.13-22.59), 64.49 (20.46-203.33), 12.79 (4.91-33.30), and 42.53 (11.90-152.04), respectively. Among these indicators, dual gene methylation had the higher sensitivity and specificity for endometrial cancer screening (85.7% and 87.6%). Moreover, dual gene methylation combined with BMI or endometrial thickness could further improve the screening efficiency of endometrial cancer in women with abnormal uterine bleeding. CONCLUSIONS: In premenopausal women with abnormal uterine bleeding, the clinical efficacy of DNA (CDO1m/CELF4m) methylation detection in exfoliated cervical cells for endometrial cancer screening was better than that of other noninvasive clinical indicators. In addition, dual gene methylation combined with BMI or endometrial thickness was a good predictor of endometrial cancer screening.

A deep learning framework for predicting endometrial cancer from cytopathologic images with different staining styles.

Endometrial cancer screening is crucial for clinical treatment. Currently, cytopathologists analyze cytopathology images is considered a popular screening method, but manual diagnosis is time-consuming and laborious. Deep learning can provide objective guidance efficiency. But endometrial cytopathology images often come from different medical centers with different staining styles. It decreases the generalization ability of deep learning models in cytopathology images analysis, leading to poor performance. This study presents a robust automated screening framework for endometrial cancer that can be applied to cytopathology images with different staining styles, and provide an objective diagnostic reference for cytopathologists, thus contributing to clinical treatment. We collected and built the XJTU-EC dataset, the first cytopathology dataset that includes segmentation and classification labels. And we propose an efficient two-stage framework for adapting different staining style images, and screening endometrial cancer at the cellular level. Specifically, in the first stage, a novel CM-UNet is utilized to segment cell clumps, with a channel attention (CA) module and a multi-level semantic supervision (MSS) module. It can ignore staining variance and focus on extracting semantic information for segmentation. In the second stage, we propose a robust and effective classification algorithm based on contrastive learning, ECRNet. By momentum-based updating and adding labeled memory banks, it can reduce most of the false negative results. On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. Our method robustly predicts endometrial cancer on cytopathologic images with different staining styles, which will further advance research in endometrial cancer screening and provide early diagnosis for patients. The code will be available on GitHub.

Early detection of uterine corpus endometrial carcinoma utilizing plasma cfDNA fragmentomics.

BACKGROUND: Uterine corpus endometrial carcinoma (UCEC) is a prevalent gynecologic malignancy with a favorable prognosis if detected early. However, there is a lack of accurate and reliable early detection tests for UCEC. This study aims to develop a precise and non-invasive diagnostic method for UCEC using circulating cell-free DNA (cfDNA) fragmentomics. METHODS: Peripheral blood samples were collected from all participants, and cfDNA was extracted for analysis. Low-coverage whole-genome sequencing was performed to obtain cfDNA fragmentomics data. A robust machine learning model was developed using these features to differentiate between UCEC and healthy conditions. RESULTS: The cfDNA fragmentomics-based model showed high predictive power for UCEC detection in training (n = 133; AUC 0.991) and validation cohorts (n = 89; AUC 0.994). The model manifested a specificity of 95.5% and a sensitivity of 98.5% in the training cohort, and a specificity of 95.5% and a sensitivity of 97.8% in the validation cohort. Physiological variables and preanalytical procedures had no significant impact on the classifier's outcomes. In terms of clinical benefit, our model would identify 99% of Chinese UCEC patients at stage I, compared to 21% under standard care, potentially raising the 5-year survival rate from 84 to 95%. CONCLUSION: This study presents a novel approach for the early detection of UCEC using cfDNA fragmentomics and machine learning showing promising sensitivity and specificity. Using this model in clinical practice could significantly improve UCEC management and control, enabling early intervention and better patient outcomes. Further optimization and validation of this approach are warranted to establish its clinical utility.