Squamous differentiation portends poor prognosis in low and intermediate-risk endometrioid endometrial cancer

Relation of squamous differentiation in endometrioid carcinoma with MELF pattern to a high ratio of lymph node metastasis

One of the known histological patterns of endometrioid carcinoma (EC) in uterine corpus cancer is MELF (microcystic, elongated, and fragmented). MELF is associated with lymphovascular invasion and lymph node metastasis. Besides MELF, it is also known that squamous differentiation (SD) often occurs in EC. SD is known to be no significant difference in the frequency of lymph node metastasis in EC. However, there have been no previous reports on the association between MELF and SD. In this research, we investigated the presence of SD in MELF using an antibody to CK5. We examined 28 cases of EC with MELF pattern, in which 15 cases showed SD. Moreover, the relation of lymph node metastasis to SD was examined. Lymph node dissection was performed in 27 out of 28 cases. Among them, 12 cases showed lymph node metastasis. The ratio of lymph node metastasis was significantly higher in EC with SD (64.3 %, 9 in 14 cases) than EC without SD (23.1 %, 3 in 13 cases). In this study, we first showed the association between SD and MELF and that MELF with SD is associated with a high ratio of lymph node metastasis. It is clinically relevant to recognize that MELF with SD is aggressive with a high ratio of lymph node metastasis.

Endometrial endometrioid adenocarcinoma with a malignant squamous component: is the unusual metastatic pattern unique of these tumors?

The FIGO scheme is currently applied for tumor grading of endometrioid adenocarcinoma. The current report presents a series of ten cases of endometrioid carcinomas that when applying the FIGO grading does not fully convey the true biological nature of the disease. The squamous component of these tumors is malignant; it constitutes the predominant invasive component, and it often metastasizes to unconventional sites. Half of the cohort developed distant disease recurrence within 2 years, even those with early-stage disease. Somatic mutations were analyzed, targeting 101 genes in all ten cases, and mutations in PTEN, MMR, PIK3CA, ATM, RB1, and TP53 genes were detected, often multiple mutations in the same case. None of the cases revealed unique molecular signatures or previously unreported gene mutations. Immunohistochemical staining for beta-catenin showed aberrant nuclear staining in eight of ten cases and remaining two showed cytoplasmic and membranous staining. Aggressive behavior and unusual sites of metastases are observed in this series even in low-grade tumor. The FIGO grading on smaller samples may be deceptive for these cases. Even if FIGO is applied, the pathology report should emphasize the malignant squamous component and its potential significance so that the gynecologic oncology team can formulate appropriate adjuvant treatment upfront. This case series argues that this histology should be regarded as a high-grade endometrioid carcinoma and can show unusual metastatic patterns. Further research is needed with more cases within this histologic subtype to guide recommendations on adjuvant therapies for this aggressive tumor type.

An ultrasound-based radiomics model for survival prediction in patients with endometrial cancer

PURPOSE

To establish a nomogram integrating radiomics features based on ultrasound images and clinical parameters for predicting the prognosis of patients with endometrial cancer (EC).

MATERIALS AND METHODS

A total of 175 eligible patients with ECs were enrolled in our study between January 2011 and April 2018. They were divided into a training cohort (n = 122) and a validation cohort (n = 53). Least absolute shrinkage and selection operator (LASSO) regression were applied for selection of key features, and a radiomics score (rad-score) was calculated. Patients were stratified into high risk and low-risk groups according to the rad-score. Univariate and multivariable COX regression analysis was used to select independent clinical parameters for disease-free survival (DFS). A combined model based on radiomics features and clinical parameters was ultimately established, and the performance was quantified with respect to discrimination and calibration.

RESULTS

Nine features were selected from 1130 features using LASSO regression in the training cohort, which yielded an area under the curve (AUC) of 0.823 and 0.792 to predict DFS in the training and validation cohorts, respectively. Patients with a higher rad-score were significantly associated with worse DFS. The combined nomogram, which was composed of clinically significant variables and radiomics features, showed a calibration and favorable performance for DFS prediction (AUC 0.893 and 0.885 in the training and validation cohorts, respectively).

CONCLUSION

The combined nomogram could be used as a tool in predicting DFS and may assist individualized decision making and clinical treatment.

P16 Expression in Human Breast Carcinoma and its Relationship to Clinicopathological Parameters

Background

p16 is a cyclin-dependent kinase inhibitor and a cardinal regulator of the cell cycle. The relationship between p16 overexpression and poor prognosis of breast cancer has been reported in some studies. This study aimed to evaluate p16 expression in breast cancer in comparison to normal breast tissue and determine the association between p16 expression and clinicopathological parameters in breast cancer.

Materials and Methods

Paraffin blocks of 110 samples were studied. These included 40 invasive breast carcinoma (tumor group) and normal tissue adjacent to the tumor (tumor control), as well as 30 normal mammoplasty specimens (normal control). Samples were from the pathology archive of Alzahra Hospital, Isfahan, Iran, from 2016 to 2020. p16 expression was studied and compared in these three groups using the immunohistochemistry technique. Moreover, the relationship between p16 expression and age, tumor size, carcinoma subtype, tumor grade, and lymph node involvement was investigated in the tumor group. SPSS version 16 was used to analyze data.

Results

p16 expression showed a significant difference between the tumor group and the two control groups with a significantly higher expression in the tumor group. There was a significant direct relationship between the intensity of p16 expression and the number of involved lymph nodes (P < 0.001). No significant relationship was detected between p16 expression and other clinicopathological factors.

Conclusion

p16 seems to have a rather significant expression in breast cancer in comparison to normal breast parenchyma. However, among clinicopathological parameters, we found only a direct relationship between lymph node involvement and intensity of p16 expression.

Overall survival prediction models for gynecological endometrioid adenocarcinoma with squamous differentiation (GE-ASqD) using machine-learning algorithms

The actual 5-year survival rates for Gynecological Endometrioid Adenocarcinoma with Squamous Differentiation (GE-ASqD) are rarely reported. The purpose of this study was to evaluate how histological subtypes affected long-term survivors of GE-ASqD (> 5 years). We conducted a retrospective analysis of patients diagnosed GE-ASqD from the Surveillance, Epidemiology, and End Results database (2004-2015). In order to conduct the studies, we employed the chi-square test, univariate cox regression, and multivariate cox proportional hazards model. A total of 1131 patients with GE-ASqD were included in the survival study from 2004 to 2015 after applying the inclusion and exclusion criteria and the sample randomly split into a training set and a test set at a ratio of 7:3. Five machine learning algorithms were trained based on nine clinical variables to predict the 5-year overall survival. The AUC of the training group for the LR, Decision Tree, forest, Gbdt, and gbm algorithms were 0.809, 0.336, 0.841, 0.823, and 0.856 respectively. The AUC of the testing group was 0.779, 0.738, 0.753, 0.767 and 0.734, respectively. The calibration curves confirmed good performance of the five machine learning algorithms. Finally, five algorithms were combined to create a machine learning model that forecasts the 5-year overall survival rate of patients with GE-ASqD.

The Potential Value of Ki-67 in Prognostic Classification in Early Low-Risk Endometrial Cancer

PURPOSE

This study aims to determine the optimal cut-off value of Ki-67 to better predict the recurrence of early low-risk endometrial cancer (EC).

METHODS

Seven hundred and forty-eight patients diagnosed with low-risk EC from West China Second Hospital of Sichuan University and the First Affiliated Hospital of Chongqing Medical University were retrospectively analyzed. The receiver operating characteristic curve (ROC) and Youden index were used to calculate the optimal cut-off value of Ki-67 expression. The clinicopathological indexes between two groups divided by cut-off value of Ki-67 were compared. The univariate and multivariate regression analyses were performed to investigate risk factors connected to the recurrence of early low-risk EC. The survival analysis was shown in Kaplan-Meier curve.

RESULT

Thirty-three patients were detected with tumor recurrence after primary surgery (4.4%); 33% was the optimal cut-off value of the Ki-67 index. A high Ki-67 was significantly associated with age (P = .002), myometrial invasion (P < .001), and the expression of P53 (P = .007). The multivariate regression analysis verified that Ki67 ≥ 33% was an independent prognostic factor for predicting recurrence. The recurrence-free survival (RFS) and the overall survival (OS) in high Ki-67 group was significantly lower than that in low Ki-67 group (P < .001 and P = .029, respectively). The prognostic values of ER, PR, and P53 in combination with Ki-67 were superior to each single predictor.

CONCLUSIONS

The optimal cut-off value of Ki-67 for predicting recurrence is 33%, which quantitatively defines the specific value of Ki-67 that causes high-risk recurrence in early low-risk EC.

Cytokeratin 10 (CK10) expression in cancer: A tissue microarray study on 11,021 tumors

Cytokeratin 10 (CK10) is a type I acidic low molecular weight cytokeratin which is mainly expressed in keratinizing squamous epithelium of the skin. Variable levels of CK10 protein have been described in squamous carcinomas of different sites and in some other epithelial neoplasms. To comprehensively determine the prevalence of CK10 expression in normal and neoplastic tissues, a tissue microarray containing 11,021 samples from 131 different tumor types and subtypes was analyzed by immunohistochemistry. CK10 immunostaining was detectable in 41 (31.3 %) of 131 tumor categories, including 18 (13.7 %) tumor types with at least one strongly positive case. The highest rate of positive staining was found in squamous cell carcinomas from various sites of origin (positive in 18.6 %-66.1 %) and in Warthin tumors of salivary glands (47.8 %), followed by various tumor entities known to potentially exhibit areas with squamous cell differentiation such as teratomas (33.3 %), basal cell carcinomas of the skin (14.3 %), adenosquamous carcinomas of the cervix (11.1 %), and several categories of urothelial neoplasms (3.1 %-16.8 %). In a combined analysis of 956 squamous cell carcinomas from 11 different sites of origin, reduced CK10 staining was linked to high grade (p < 0.0001) and advanced stage (p = 0.0015) but unrelated to HPV infection. However, CK10 staining was not statistically related to grade (p = 0.1509) and recurrence-free (p = 0.5247) or overall survival (p = 0.5082) in 176 cervical squamous cell carcinomas. In the urinary bladder, CK10 staining occurred more commonly in muscle-invasive (17.7 %) than in non-invasive urothelial carcinomas (4.0 %-6.0 %; p < 0.0001). In summary, our data corroborate a role of CK10 as a suitable marker for mature, keratinizing squamous cell differentiation in epithelial tissues. CK10 immunohistochemistry may thus be instrumental for a more objective evaluation of the clinical significance of focal squamous differentiation in cancer.

Morules but Not Squamous Differentiation are a Reliable Indicator of CTNNB1 (β-catenin) Mutations in Endometrial Carcinoma and Precancers

Although collectively regarded as "squamous differentiation (SD)" in endometrial endometrioid carcinoma (EEC) and atypical hyperplasia/endometrioid intraepithelial neoplasia (AH/EIN), morules (often referred to as "squamous morules") and true SD may represent two distinct phenomena. Here, we explored the distinction between morules versus SD and investigated the association of morules and SD with CTNNB1 mutations. A total of 270 cases of EEC and AH/EIN were studied, including EEC with (n=36) or without (n=36) morules and AH/EIN with (n=80) or without (n=118) morules. Cases were analyzed by immunohistochemistry and selected cases (n=20) by targeted next-generation sequencing panel. Near-perfect agreement was found between morules and glandular β-catenin nuclear staining in AH/EIN and EEC. A strong positive association was found between morules and glandular β-catenin nuclear staining (P<0.0001, Φ=0.59 in AH/EIN; P<0.0001, Φ=0.85 in EEC). There was no association between (1) morules and glandular PAX2 or PTEN aberrant expression or (2) SD and aberrant expression of β-catenin, PAX2 or PTEN (Φ=0.09, β-catenin; Φ=0.16, PAX2; Φ=0.13, PTEN). CTNNB1 mutations were identified in all 20 selected morule-containing cases (100%). Next-generation sequencing was performed on 2 (preprogestin and postprogestin treatment) biopsies from 1 patient, revealing identical mutational profile in morules and glands. In conclusion, (1) SD and morules are distinct biological phenomena; (2) the presence of morules, but not SD, is a reliable indicator of CTNNB1 mutations in EEC and AH/EIN. Our findings demonstrate that SD and morules are distinct biological phenomena. Since morules but not SD are associated with β-catenin mutations, the distinction is clinically relevant and should be included in diagnostic reports.

Clinicopathological Prognostic Parameters of Endometrioid Endometrial Carcinomas

Endometrioid endometrial carcinomas (EEC) are common malignant lesions of the female genital tract, with incidence and risk factors that raise issues to improve histopathological prognostic factors. The study included 50 EEC cases, for which the clinicopathological parameters represented by age, risk factors, tumor grade, histological differences, invasion pattern, tumor stage and association of endometrial hyperplasia were analyzed statistically. The results indicated the predominance of EEC in the 7th decade of life, with associated risk factors (78%), more frequently well differentiated (52%), with no other specifications related to differentiation (NOS, 60%), with irregular invasion pattern (66%) in<50% of the myometrial wall (48%). Irregular pattern, microcystic, elongated, and fragmented (MELF) pattern and myoinvasion associated with vascular invasion (MVI) pattern were significantly associated with high grade and advanced stage tumors. With the exception of EEC-NOS and squamous differentiation, all other tumors were associated with low grade (G1). In this study there was a tendency to associate the age group of 60-69 years with the presence of endometrial hyperplasia and with high grade and advanced stage. Apart from the high grade and advanced stage, in the aggressive profile of the EEC can be included as the clinicopathological parameters the 7th decade of life and the irregular, MELF and MVI invasion patterns.

Co-existing TP53 and ARID1A mutations promote aggressive endometrial tumorigenesis

TP53 and ARID1A are frequently mutated across cancer but rarely in the same primary tumor. Endometrial cancer has the highest TP53-ARID1A mutual exclusivity rate. However, the functional relationship between TP53 and ARID1A mutations in the endometrium has not been elucidated. We used genetically engineered mice and in vivo genomic approaches to discern both unique and overlapping roles of TP53 and ARID1A in the endometrium. TP53 loss with oncogenic PIK3CA^H1047R in the endometrial epithelium results in features of endometrial hyperplasia, adenocarcinoma, and intraepithelial carcinoma. Mutant endometrial epithelial cells were transcriptome profiled and compared to control cells and ARID1A/PIK3CA mutant endometrium. In the context of either TP53 or ARID1A loss, PIK3CA mutant endometrium exhibited inflammatory pathway activation, but other gene expression programs differed based on TP53 or ARID1A status, such as epithelial-to-mesenchymal transition. Gene expression patterns observed in the genetic mouse models are reflective of human tumors with each respective genetic alteration. Consistent with TP53-ARID1A mutual exclusivity, the p53 pathway is activated following ARID1A loss in the endometrial epithelium, where ARID1A normally directly represses p53 pathway genes in vivo, including the stress-inducible transcription factor, ATF3. However, co-existing TP53-ARID1A mutations led to invasive adenocarcinoma associated with mutant ARID1A-driven ATF3 induction, reduced apoptosis, TP63+ squamous differentiation and invasion. These data suggest TP53 and ARID1A mutations drive shared and distinct tumorigenic programs in the endometrium and promote invasive endometrial cancer when existing simultaneously. Hence, TP53 and ARID1A mutations may co-occur in a subset of aggressive or metastatic endometrial cancers, with ARID1A loss promoting squamous differentiation and the acquisition of invasive properties.

Endometrial cancer is the most commonly diagnosed gynecologic malignancy in the United States, with annual incidence continuing to rise. Although the majority of endometrial cancer patients have an excellent overall prognosis if the disease is confined to the endometrium, myometrial invasion and metastasis to other sites correlate with poor survival. Here, we used genetically engineered mice, in vivo genomics, and public cancer patient data to understand the relationship between TP53 and ARID1A, two of the most commonly mutated genes in endometrial cancer, in the context of mutant PIK3CA. Mutations in TP53 and ARID1A change different aspects of endometrial cell health but also share some similarities. ARID1A mutations specifically promote cancer cells to invade nearby tissue, a hallmark of metastasis, associated with squamous differentiation. Mice with co-existing TP53 and ARID1A mutations developed more invasive disease. Our studies suggest that co-existing TP53 and ARID1A tumor mutations may promote invasion and metastasis.

A 4-Gene Signature Associated With Recurrence in Low- and Intermediate-Risk Endometrial Cancer

Background

The molecular profile of endometrial cancer has become an important tool in determining patient prognosis and their optimal adjuvant treatment. In addition to The Cancer Genome Atlas (TCGA), simpler tools have been developed, such as the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE). We attempted to determine a genetic signature to build a recurrence risk score in patients diagnosed with low- and intermediate-risk endometrial cancer.

Methods

A case-control study was conducted. The eligible patients were women diagnosed with recurrence low- and intermediate-risk endometrial cancer between January 2009 and December 2014 at a single institution; the recurrence patients were matched to two nonrecurrence patients with the same diagnosis by age and surgical staging. Following RNA isolation of 51 cases, 17 recurrence and 34 nonrecurrence patients, the expression profile was determined using the nCounter^® PanCancer Pathways Panel, which contains 770 genes.

Results

The expression profile was successfully characterized in 49/51 (96.1%) cases. We identified 12 genes differentially expressed between the recurrence and nonrecurrence groups. The ROC curve for each gene was generated, and all had AUCs higher than 0.7. After backward stepwise logistic regression, four genes were highlighted: FN1, DUSP4, LEF1, and SMAD9. The recurrence risk score was calculated, leading to a ROC curve of the 4-gene model with an AUC of 0.93, sensitivity of 100%, and specificity of 72.7%.

Conclusion

We identified a four-gene signature that may be associated with recurrence in patients with low- and intermediate-risk endometrial cancer. This finding suggests a new prognostic factor in this poorly explored group of patients with endometrial cancer.

The prognostic value of squamous differentiation in endometrioid type endometrial cancer: a matched analysis

We aimed to examine the effect of the squamous differentiation on survival outcomes of women with endometrioid adenocarcinoma. We retrospectively reviewed the patients with endometrioid adenocarcinoma who underwent primary surgical treatment in a tertiary referral hospital. Sixty-nine patients having squamous differentiation constituted the case group. Each woman in the case group was matched with two patients in the control group based on age, disease stage, tumour grade, lymphovascular space invasion, tumour size, myometrial invasion, type of surgery and adjuvant therapy. During the follow-up, the recurrence rates were similar between the case (5/69, 7.2%) and control (10/138, 7.2%) groups (p = 1.0). The 5-year disease-free survival rate was 90.2% for the case group and 88.6% for the control group (p = .51). The 5-year overall survival rate was 94.6% for the case group and 91.8% for the control group (p = .12). Squamous differentiation seems to have no impact on the prognosis of patients with endometrioid adenocarcinoma.IMPACT STATEMENTWhat is already known on this subject? A focus of squamous differentiation is recognised in 12.8-25% of women with endometrioid adenocarcinoma. The prognostic value of the squamous differentiation was evaluated in several previous studies. However, it could not be clarified due to the conflicting results of these studies.What do the results of this study add? The probable confounding effects of well-known prognostic factors including age at diagnosis, International Federation of Gynaecology and Obstetrics stage, tumour grade, lymphovascular space invasion, tumour size, myometrial invasion, type of surgery and adjuvant therapy were eliminated with the case-control study design in the current study. Our findings indicate that the presence of squamous differentiation does not have any prognostic effect in endometrioid type endometrial cancer.What are the implications of these findings for clinical practice and/or further research? The molecular prognosticators of endometrial cancer were extensively studied in recent years. It is likely that clinicopathological and molecular prognostic factors will be integrated for predicting prognosis as a part of routine clinical practice soon. In this context, the prognostic value of the squamous differentiation in endometrioid adenocarcinomas may further be clarified by larger and multicentric studies that utilise central pathology review.

The impact of Ki-67 index, squamous differentiation, and several clinicopathologic parameters on the recurrence of low and intermediate-risk endometrial cancer

Endometrial endometrioid carcinoma (EEC) represents approximately 75-80% of endometrial carcinoma cases. Three hundred and thirty-six patients with EEC followed-up in the authors' medical center between 2010 and 2018 were included in our study. Two hundred and seventy-two low and intermediate EEC patients were identified using the European Society for Medical Oncology criteria and confirmed by histopathological examination. Recurrence was reported in 17 of these patients. The study group consisted of patients with relapse. A control group of 51 patients was formed at a ratio of 3:1 according to age, stage, and grade, similar to that in the study group. Of the 17 patients with recurrent disease, 13 patients (76.5%) were Stage 1A, and 4 patients (23.5%) were Stage 1B. No significant difference was found in age, stage, and grade between the case and control groups (p > 0.05). Body mass index, parity, tumor size, lower uterine segment involvement, SqD, and Ki-67 index with p<0.25 in the univariate logistic regression analysis were included in the multivariate analysis. Ki-67 was statistically significant in multivariate analysis (p = 0.018); however, there was no statistical significance in SqD and other parameters. Our data suggest that the Ki-67 index rather than SqD needs to be assessed for recurrence in patients with low- and intermediate-risk EEC.

The combined ratio of estrogen, progesterone, Ki-67, and P53 to predict the recurrence of endometrial cancer

BACKGROUND AND OBJECTIVES

We aimed to explore the capacity of the combined ratio of biomarkers to predict the recurrence of Stage I-III endometrial cancer (EC).

METHODS

A total of 473 patients were enrolled after screening. The cut-off value of the ratio was calculated by the receiver operating characteristic curve (ROC). The univariate and multivariate Cox regression analysis was used to assess the correlation between the combined ratio and the recurrence of EC. The differences of clinicopathological parameters between the two groups divided based on the threshold were compared.

RESULT

The ROC curve showed that 0.92 was the optimal cut-off value of the ratio ([ER + PR]/[P53 + Ki67]). The multivariate analysis demonstrated that only International Federation of Gynecology and Obstetrics stage (p = .031) and the combined ratio (p = .004) were independent risk factors of recurrence. The 3-year recurrence-free survival (RFS) and overall survival of patients in the low-ratio group were 54.1% and 66.8%, respectively; while in the high-ratio group were 94.9% and 97.9%, respectively (p < .001). The 3-year RFS of 194 patients, who did not receive the adjuvant therapy, was 54.7% and 97.2% between two groups (p < .001).

CONCLUSIONS

The optimal cut-off value (0.92) of the combined ratio was demonstrated to be better to predict the recurrence of EC than a single immunohistochemical marker.

Immunohistochemical expression of PAX-8 in Sudanese patients diagnosed with malignant female reproductive tract tumors

Objectives

Paired box protein-8 (PAX-8) immunohistochemical expression can be used as a diagnostic marker for epithelial cells tumors. This study aimed at investigating the immunohistochemical expression of PAX-8 among Sudanese females diagnosed with cervical, endometrial, and ovarian cancers between December 2017 and May 2019 by studying their Formalin-fixed paraffin embedded blocks.

Results

Sixty patients diagnosed with female reproductive tract cancers were included who aged 58.7 ± 6.9 years (range, 43—71). Cervix was the most common cancer site in 51/60 (85%) patients. Regarding cancer stage, there was 17 (28%) and 14 (23%) of the study population had stage 3B and 2B, respectively. The histopathological diagnosis included 20 (44%), 13 (29%), and 12 (27%) poorly, moderately, and well differentiated cervical squamous cell carcinoma (SCC) as well as 11 (73%), 2 (13%), 1 (7%), and 1 (7%) endometrial adenocarcinoma, metastatic adenocarcinoma, endocervical adenocarcinoma, and ovarian mucinous cyst adenocarcinoma, respectively. PAX-8 was positively expressed in 9 endometrial adenocarcinoma, 1 endocervical adenocarcinoma and 1 ovarian mucinous cyst adenocarcinoma, 2 poorly, and 1 moderately differentiated SCC. All patients diagnosed with well differentiated SCC and metastatic adenocarcinoma showed no expression of PAX-8. A statistically significant was seen for PAX-8 expression and the different histopathological diagnosis, P value < 0.001.