p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study

Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi-institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC and 11.5% (86/748) in CCC. In HGSC, there were no differences in overall survival across the abnormal p53 expression patterns. However, in EC and CCC, abnormal p53 expression was associated with an increased risk of death for women diagnosed with EC in multivariate analysis compared to normal p53 as the reference (hazard ratio [HR] = 2.18, 95% confidence interval [CI] 1.36-3.47, p = 0.0011) and with CCC (HR = 1.57, 95% CI 1.11-2.22, p = 0.012). Abnormal p53 was also associated with shorter overall survival in The International Federation of Gynecology and Obstetrics stage I/II EC and CCC. Our study provides further evidence that functional groups of TP53 mutations assessed by abnormal surrogate p53 IHC patterns are not associated with survival in HGSC. In contrast, we validate that abnormal p53 IHC is a strong independent prognostic marker for EC and demonstrate for the first time an independent prognostic association of abnormal p53 IHC with overall survival in patients with CCC.

CCNE1 and survival of patients with tubo-ovarian high-grade serous carcinoma: An Ovarian Tumor Tissue Analysis consortium study

BACKGROUND

Cyclin E1 (CCNE1) is a potential predictive marker and therapeutic target in tubo-ovarian high-grade serous carcinoma (HGSC). Smaller studies have revealed unfavorable associations for CCNE1 amplification and CCNE1 overexpression with survival, but to date no large-scale, histotype-specific validation has been performed. The hypothesis was that high-level amplification of CCNE1 and CCNE1 overexpression, as well as a combination of the two, are linked to shorter overall survival in HGSC.

METHODS

Within the Ovarian Tumor Tissue Analysis consortium, amplification status and protein level in 3029 HGSC cases and mRNA expression in 2419 samples were investigated.

RESULTS

High-level amplification (>8 copies by chromogenic in situ hybridization) was found in 8.6% of HGSC and overexpression (>60% with at least 5% demonstrating strong intensity by immunohistochemistry) was found in 22.4%. CCNE1 high-level amplification and overexpression both were linked to shorter overall survival in multivariate survival analysis adjusted for age and stage, with hazard stratification by study (hazard ratio [HR], 1.26; 95% CI, 1.08-1.47, p = .034, and HR, 1.18; 95% CI, 1.05-1.32, p = .015, respectively). This was also true for cases with combined high-level amplification/overexpression (HR, 1.26; 95% CI, 1.09-1.47, p = .033). CCNE1 mRNA expression was not associated with overall survival (HR, 1.00 per 1-SD increase; 95% CI, 0.94-1.06; p = .58). CCNE1 high-level amplification is mutually exclusive with the presence of germline BRCA1/2 pathogenic variants and shows an inverse association to RB1 loss.

CONCLUSION

This study provides large-scale validation that CCNE1 high-level amplification is associated with shorter survival, supporting its utility as a prognostic biomarker in HGSC.

Abstract PS13-30: Evaluation of factors related to efficacy and safety of neo/adjuvant chemotherapy for breast cancer as a brief estimate of the impact of COVID-19 pandemic

Background

COVID-19 pandemic presented as a challenge to breast cancer (BC) treatment, especially considering safety concerns and resource scarcity. Treatment choices have been taken mainly based on safety according to guidelines which aim hierarchically categorize the clinical benefits of any clinical decision. Considering the magnitude of benefit, neo/adjuvant breast cancer treatment is positioned at medium/high levels. Despite these recommendations, patients might be refusing chemotherapy (CT) or avoiding emergency care utilization due to concerns about COVID-19 infection. There have been described factors related to the reduction of effectiveness of neo/adjuvant CT for breast cancer, like relative intensity dose (RDI) <85%, which could be used to a brief analysis of latter impact of modifications in clinical protocols. We aimed to analyze the impact of COVID-19 pandemic, to the date, in the neo/adjuvant breast cancer chemotherapy in a university hospital to support strategies to minimize unfavorable outcomes.

Methods

Medical records from 307 breast cancer patients who started neo/adjuvant chemotherapy from January 2018 to June 2020 at the Hospital das Clínicas de Ribeirão Preto, University of Sao Paulo (HCRP-USP) were retrospectively analyzed, with a total of 2,074 cycles. It was considered the period from June 2018 to June 2020 to analyze the total cycles prescribed/month. Clinical data, treatment information and outcomes were collected. Considering COVID-19 restraining policies in our region were initiated on March 23th 2020, we considered the pandemic period from April 2020 to June 2020, and compared to the period before pandemic (Jan/2018-Mar/2020). A RDI <85% was considered a factor related to worse efficacy of chemotherapy. For safety assessment, it was considered the demand for medical care at emergency unit. The study was approved by the local ethics committee (HCFMRPUSP-33148920.5.0000.5440).

Results

During the period before pandemic, an average of 10% (±4%) of the patients who received CT, monthly, sought the emergency unit, while only 3% (±4%) sought during the pandemic (p=0.17). In our institution, the average number of neo/adjuvant CT initiated monthly during pandemic tended to be lower than before the pandemic (7.0 ± 2.0 vs. 10.6 ± 3.5; p=0.06), while the average cycles prescribed monthly showed a 14% reduction compared to the period before pandemic (68 ± 5 vs. 79 ± 13; p=0.02). The frequency of treatments with RDI <85% during the pandemic was lower than before pandemic (6% vs. 23%; n=275; p=0.03).

Conclusions

COVID-19 pandemic presented as a challenge for the treatment of BC patients, including lower acceptance of neo/adjuvant treatment and reduced search for emergency unit due to chemotherapy adverse effects, which could compromise the of the treatment goals. In our institution, we found 23% of patients treated with neo/adjuvant chemotherapy had not reached the expected RDI ≥85% before the pandemic, similar to the literature. Despite the lower rate of RDI <85% during pandemic (6%), this may be related to treatments that are still in progress, greater refusal of chemotherapy by patients with morbidities or advanced age, or even related to treatment modification aiming to minimize toxicities and avoid interruptions (ie. prescription of colony-stimulating factors). Further analysis may help to identify the factors related to these findings. Despite this, every effort must be made to achieve the maximum effectiveness of CT and to ensure safety during treatment. The impact of treatment modifications should be monitored to minimize unfavorable outcomes.

Citation Format: Franklin F Pimentel, Jessica MC Borba, Tamara CGF Rodrigues, Karoline PI Peruchi, Helio HA Carrara, Jurandyr M de Andrade, Francisco J Candido dos Reis. Evaluation of factors related to efficacy and safety of neo/adjuvant chemotherapy for breast cancer as a brief estimate of the impact of COVID-19 pandemic [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS13-30.

Association of p16 expression with prognosis varies across ovarian carcinoma histotypes: an Ovarian Tumor Tissue Analysis consortium study

We aimed to validate the prognostic association of p16 expression in ovarian high-grade serous carcinomas (HGSC) and to explore it in other ovarian carcinoma histotypes. p16 protein expression was assessed by clinical-grade immunohistochemistry in 6525 ovarian carcinomas including 4334 HGSC using tissue microarrays from 24 studies participating in the Ovarian Tumor Tissue Analysis consortium. p16 expression patterns were interpreted as abnormal (either overexpression referred to as block expression or absence) or normal (heterogeneous). CDKN2A (which encodes p16) mRNA expression was also analyzed in a subset (n = 2280) mostly representing HGSC (n = 2010). Association of p16 expression with overall survival (OS) was determined within histotypes as was CDKN2A expression for HGSC only. p16 block expression was most frequent in HGSC (56%) but neither protein nor mRNA expression was associated with OS. However, relative to heterogeneous expression, block expression was associated with shorter OS in endometriosis-associated carcinomas, clear cell [hazard ratio (HR): 2.02, 95% confidence (CI) 1.47-2.77, p < 0.001] and endometrioid (HR: 1.88, 95% CI 1.30-2.75, p = 0.004), while absence was associated with shorter OS in low-grade serous carcinomas (HR: 2.95, 95% CI 1.61-5.38, p = 0.001). Absence was most frequent in mucinous carcinoma (50%), and was not associated with OS in this histotype. The prognostic value of p16 expression is histotype-specific and pattern dependent. We provide definitive evidence against an association of p16 expression with survival in ovarian HGSC as previously suggested. Block expression of p16 in clear cell and endometrioid carcinoma should be further validated as a prognostic marker, and absence in low-grade serous carcinoma justifies CDK4 inhibition.

Abstract A191: Profile of ovarian cancer tumor fluid using high-throughput and targeted proteomic analysis

Proteomic analysis of body fluids can be used to identify proteins associated with malignant transformation, and tumor fluid samples have emerged as a rich source for the identification of ovarian cancer in this context. To uncover differences among benign and malignant ovarian samples, we performed a high-throughput proteomic analysis consisting of albumin immunodepletion, isotope labeling with acrylamide, and in-depth proteomic profiling by LC-MS/MS in a pool of 10 samples of each histologic type (high-grade ovarian serous carcinoma and benign serous cystadenoma). After, we developed a panel for targeted proteomics using the multiple reaction monitoring (MRM) method for validation of 10 relevant proteins (ACTN4 (Alpha-actinin-4), GSTP1 (Glutathione S-transferase P), LDHA (L-lactate dehydrogenase A chain), LDHB (L-lactate dehydrogenase B chain), PRDX5 (Peroxiredoxin-5), TIMP1 (Metalloproteinase inhibitor 1), ACTG1 (Actin), ALDOA (Fructose-bisphosphate aldolase A), PKM (Pyruvate kinase PKM), and ENO1 (Alpha-enolase)). A total of 1135 proteins were identified in the high-throughput proteomic analysis, corresponding to 593 known genes, where 505 proteins (44%) were detected only in the malignant pool and 272 proteins (24%) were detected only in the benign pool. The protein-protein interaction analysis (STRING-DB) showed strong association of proteins detected in the malignant pool, according to biological process and cellular component, with response to stress, protein metabolic process, immune system process, positive regulation of cellular metabolic process, biogenesis, regulation of cellular organization, transport, protein trafficking, extracellular exosome, extracellular region part, and extracellular region. Differently, the set of proteins detected in the benign pool showed strong association with single organism signaling, cell communication, regulation of signal transduction, system development, response to stimulus, extracellular region part, extracellular exosome, cell periphery, cytosol, cell projection, endomembrane system, and cytoskeleton. Using targeted proteomic analysis, we verified that ACTN4, GSTP1, LDHB, PRDX5, TIMP1, ACTG1, ALDOA, LDHA, PKM, and ENO1 are significantly more abundant in malignant tumor fluid pool when compared to benign samples, confirming the association of proteins detected in the malignant pool with metabolic process, extracellular exosome, and extracellular region part. These results are in accordance with the fact that cancer cells must adjust cellular metabolism to support the demands of growth and remodel their cytoskeleton to allow migration and metastasis. Our findings contribute to show the differences among histologic types of ovarian tumor fluids. We emphasize the contribution of robust proteomic strategies to uncover relevant candidate tumor markers and consistent molecular signatures that can discriminate between benign and malignant tumors. Financial support: FAPESP (Proc. 2011-0947-1, 16/03809-3), CNPq (479934/2011-8, 454703/2014-7), CAPES, CISBi, NAP/USP (grant 12.1.17598.1.3) and Center for Cell Based Therapy - CTC-CEPID (Proc. FAPESP 2013/08135-2).

Citation Format: Aline Poersch, Mariana L. Grassi, Camila S. Palma, Vinícius P. Carvalho, Guilherme P. Lanfredi, Helio H. A. Carrara, Francisco J. Candido dos Reis, Vitor M. Faça. Profile of ovarian cancer tumor fluid using high-throughput and targeted proteomic analysis [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2017 Oct 26-30; Philadelphia, PA. Philadelphia (PA): AACR; Mol Cancer Ther 2018;17(1 Suppl):Abstract nr A191.

Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer

Importance

Cytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.

Objective

To define the prognostic role of CD8+ TILs in epithelial ovarian cancer.

Design, Setting, and Participants

This was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.

Exposures

Following immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.

Main Outcomes and Measures

Overall survival time.

Results

The final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.

Conclusions and Relevance

This study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.

Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer

Importance

Cytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.

Objective

To define the prognostic role of CD8+ TILs in epithelial ovarian cancer.

Design, Setting, and Participants

This was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.

Exposures

Following immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.

Main Outcomes and Measures

Overall survival time.

Results

The final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.

Conclusions and Relevance

This study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.

Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer

Importance

Cytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.

Objective

To define the prognostic role of CD8+ TILs in epithelial ovarian cancer.

Design, Setting, and Participants

This was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.

Exposures

Following immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.

Main Outcomes and Measures

Overall survival time.

Results

The final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.

Conclusions and Relevance

This study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.

An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation

BACKGROUND

PREDICT is a breast cancer prognostic and treatment benefit model implemented online. The overall fit of the model has been good in multiple independent case series, but PREDICT has been shown to underestimate breast cancer specific mortality in women diagnosed under the age of 40. Another limitation is the use of discrete categories for tumour size and node status resulting in 'step' changes in risk estimates on moving between categories. We have refitted the PREDICT prognostic model using the original cohort of cases from East Anglia with updated survival time in order to take into account age at diagnosis and to smooth out the survival function for tumour size and node status.

METHODS

Multivariable Cox regression models were used to fit separate models for ER negative and ER positive disease. Continuous variables were fitted using fractional polynomials and a smoothed baseline hazard was obtained by regressing the baseline cumulative hazard for each patients against time using fractional polynomials. The fit of the prognostic models were then tested in three independent data sets that had also been used to validate the original version of PREDICT.

RESULTS

In the model fitting data, after adjusting for other prognostic variables, there is an increase in risk of breast cancer specific mortality in younger and older patients with ER positive disease, with a substantial increase in risk for women diagnosed before the age of 35. In ER negative disease the risk increases slightly with age. The association between breast cancer specific mortality and both tumour size and number of positive nodes was non-linear with a more marked increase in risk with increasing size and increasing number of nodes in ER positive disease. The overall calibration and discrimination of the new version of PREDICT (v2) was good and comparable to that of the previous version in both model development and validation data sets. However, the calibration of v2 improved over v1 in patients diagnosed under the age of 40.

CONCLUSIONS

The PREDICT v2 is an improved prognostication and treatment benefit model compared with v1. The online version should continue to aid clinical decision making in women with early breast cancer.

Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer

BACKGROUND

Citizen science, scientific research conducted by non-specialists, has the potential to facilitate biomedical research using available large-scale data, however validating the results is challenging. The Cell Slider is a citizen science project that intends to share images from tumors with the general public, enabling them to score tumor markers independently through an internet-based interface.

METHODS

From October 2012 to June 2014, 98,293 Citizen Scientists accessed the Cell Slider web page and scored 180,172 sub-images derived from images of 12,326 tissue microarray cores labeled for estrogen receptor (ER). We evaluated the accuracy of Citizen Scientist's ER classification, and the association between ER status and prognosis by comparing their test performance against trained pathologists.

FINDINGS

The area under ROC curve was 0.95 (95% CI 0.94 to 0.96) for cancer cell identification and 0.97 (95% CI 0.96 to 0.97) for ER status. ER positive tumors scored by Citizen Scientists were associated with survival in a similar way to that scored by trained pathologists. Survival probability at 15 years were 0.78 (95% CI 0.76 to 0.80) for ER-positive and 0.72 (95% CI 0.68 to 0.77) for ER-negative tumors based on Citizen Scientists classification. Based on pathologist classification, survival probability was 0.79 (95% CI 0.77 to 0.81) for ER-positive and 0.71 (95% CI 0.67 to 0.74) for ER-negative tumors. The hazard ratio for death was 0.26 (95% CI 0.18 to 0.37) at diagnosis and became greater than one after 6.5 years of follow-up for ER scored by Citizen Scientists, and 0.24 (95% CI 0.18 to 0.33) at diagnosis increasing thereafter to one after 6.7 (95% CI 4.1 to 10.9) years of follow-up for ER scored by pathologists.

INTERPRETATION

Crowdsourcing of the general public to classify cancer pathology data for research is viable, engages the public and provides accurate ER data. Crowdsourced classification of research data may offer a valid solution to problems of throughput requiring human input.

Expression of p63 differs in peritoneal endometriosis, endometriomas, adenomyosis, rectovaginal septum endometriosis, and abdominal wall endometriosis

CONTEXT

Although there is evidence that endometriosis results from basal endometrium dislocation, the underlying biology is not fully understood. One protein that plays an important role in regulating epithelial proliferation and differentiation is the 63-kDa membrane protein (p63), which is also a marker of basal and reserve cells in the female genital tract.

OBJECTIVE

To determine whether p63 is expressed differently in peritoneal endometriosis, endometriomas, and adenomyosis, as well as in deep endometriotic nodules of the rectovaginal septum and abdominal wall.

DESIGN

This study includes a prospective series of consecutive patients (Canadian Task Force classification II-2) from a tertiary care university hospital. Specimens collected from 83 patients (15 peritoneal endometriosis specimens, 22 endometrioma specimens, 36 adenomyosis specimens, and 10 rectovaginal septum/abdominal wall specimens) were evaluated. Diagnostic and operative laparoscopies or laparotomies were performed, and tissue samples were obtained. Immunohistochemistry was used to evaluate p63 expression.

RESULTS

Positivity for p63 was detected in 93.3% of the peritoneal endometriosis specimens, 81.8% of the endometrioma specimens, 36.1% of the adenomyosis specimens, and none of the rectovaginal/abdominal wall endometriosis specimens (P < .001). Distribution of p63 immunostaining in the positive specimens was homogeneous.

CONCLUSIONS

Endometriotic lesions express p63 differently, and some retain the basal/reserve cell immunophenotype. Nevertheless, it remains unclear whether the lack of p63 expression in some lesions is related to the extent of the disease, to its clinical behavior, or to exacerbation of the accompanying symptoms.

Hysteroscopic appearance of malignant and benign endometrial lesions: a case–control study

OBJECTIVE

To analyze hysteroscopic appearance of benign and malignant endometrial lesions in order to identify patterns to estimate the risk of malignance.

STUDY DESIGN

Matched case-control study; two controls per case. The cases were 21 women (age range 40-90 years, median 63) with histologically confirmed endometrial malignancy, and the control group 42 women submitted to diagnostic hysteroscopy for benign lesions (age range 37-81 years, median 57).

RESULTS

Hysteroscopic findings associated with malignancy were papillary aspect (OR 26.0, 95%CI 6.4-105.3), size>1/2 uterine cavity (OR 22.0, 95%CI 5.1-95.8), irregular surface (OR 8.0, 95%CI 2.7-23.2), mixed color (OR 10.0, 95%CI 3.6-28.0), diffuse vascular arrangement (OR 5.3, 95%CI 1.3-21.5), little branched vessels (OR 15.0, 95%CI 3.0-74.9), and discordance between the main vascular axe and the direction of the lesion growth (OR 37.0; 95% CI 10.7-128.3). Ulcerated surface and anarchic vascular aspect were present only in malignant cases.

CONCLUSION

The analyzes of general aspect, size, surface, color, vascular arrangement and vascular aspect allowed the estimation of the risk of malignancy, and the identification of points for targeted sampling.