Publications by authors named "Jessica N McAlpine"

There are currently no effective screening measures to detect early or occult tubo-ovarian cancers, resulting in late-stage detection and high mortality. This work explores whether an optical imaging catheter can detect early-stage tubo-ovarian cancers or precursor lesions where they originate in the fallopian tubes. This device collects co-registered optical coherence tomography (OCT) and autofluorescence imaging (AFI).

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Objective: The prognostic relevance of hormonal biomarkers in endometrial cancer (EC) has been well-established. A refined three-tiered risk model for estrogen receptor (ER)/progesterone receptor (PR) expression was shown to improve prognostication. This has not been evaluated in relation to the molecular subgroups.

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Objectives: We have previously shown that DNA based, single test molecular classification by next generation sequencing (NGS) (Proactive Molecular risk classifier for Endometrial cancer (ProMisE) NGS) is highly concordant with the original ProMisE classifier and maintains prognostic value in endometrial cancer. Our aim was to validate ProMisE NGS in an independent cohort and assess the performance of ProMisE NGS in real world clinical practice to address if there were any practical challenges or learning points for implementation.

Methods: We evaluated DNA extracted from an external research cohort of 211 endometrial cancer cases diagnosed in 2016 from Germany, Switzerland, and Austria, across seven European centers, comparing standard molecular classification (NGS for status, immunohistochemistry for mismatch repair and p53) with ProMisE NGS (NGS for and microsatellite instability assay) for concordance metrics and Kaplan-Meier survival statistics across molecular subtypes.

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Background: Professional guidelines recommend molecular profiling for mismatch repair (MMR), p53, and polymerase epsilon (POLE) status in endometrial cancer (EC). However, adoption in the United States has not been documented, and barriers to the implementation of testing have not been described.

Methods: In this mixed-methods study, implementation science frameworks were used to develop a quantitative survey.

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Article Synopsis
  • - The Mercy Halo Ovarian Cancer Test (OC Test) is a new screening method that detects ovarian cancer by analyzing proteins found on tumor-associated extracellular vesicles in blood, aiming for both high sensitivity and specificity.
  • - In a study involving 397 women, the OC Test showed impressive results: 97% specificity and sensitivity for high-grade serous carcinoma (HGSC), and it also identified 73.5% of non-HGSC ovarian cancer cases.
  • - Compared to the conventional cancer antigen 125, the OC Test resulted in fewer false positives among patients with non-cancerous conditions, indicating its potential for effective ovarian cancer screening.
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Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) is assigned after exclusion of the defining features of the other three molecular subtypes and includes patients with heterogeneous clinical outcomes. In this study, we employ artificial intelligence (AI)-powered histopathology image analysis to differentiate between p53abn and NSMP EC subtypes and consequently identify a sub-group of NSMP EC patients that has markedly inferior progression-free and disease-specific survival (termed 'p53abn-like NSMP'), in a discovery cohort of 368 patients and two independent validation cohorts of 290 and 614 from other centers.

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Article Synopsis
  • The study examines the clinical significance of detecting cell-free circulating tumor DNA (ctDNA) mutations in patients with endometrial and ovarian cancers, identifying its potential as a real-time biomarker for therapy response and recurrence.
  • Out of 44 patients, somatic mutations were found in tumor tissue for 91%, with only 27% having detectable preoperative ctDNA mutations, which correlated with advanced cancer stages and potential for disease recurrence.
  • The findings suggest that ctDNA can indicate tumor volume and treatment effectiveness, and its clearance may indicate treatment success before traditional biomarkers, highlighting the need for targeted patient selection in future therapies.
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Article Synopsis
  • Decreased oestrogen receptor (ER) expression in endometrial carcinomas (EC) is linked to poorer prognosis, but the exact cut-off for distinguishing high-risk from low-risk cases is still unclear.
  • In a study of 120 biopsy specimens, the Allred scores indicated that the majority (over 80%) of non-specific molecular profile ECs had high ER expression (scores ≥ 7), while most non-endometrioid types had lower scores (≤ 6).
  • Results from analyzing matched biopsies and hysterectomies showed consistent ER staining, with only minor discrepancies, indicating reliable assessment methods for determining ER expression.
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In clinical oncology, many diagnostic tasks rely on the identification of cells in histopathology images. While supervised machine learning techniques necessitate the need for labels, providing manual cell annotations is time-consuming. In this paper, we propose a self-supervised framework (enVironment-aware cOntrastive cell represenTation learning: VOLTA) for cell representation learning in histopathology images using a technique that accounts for the cell's mutual relationship with its environment.

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Purpose: Shallow whole-genome sequencing (sWGS) can detect copy-number (CN) aberrations. In high-grade serous ovarian cancer (HGSOC) sWGS identified CN signatures such as homologous recombination deficiency (HRD) to direct therapy. We applied sWGS with targeted sequencing to p53abn endometrial cancers to identify additional prognostic stratification and therapeutic opportunities.

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Objectives: Optimal management of patients with stage IA p53abn endometrial cancer without myoinvasion, classified as intermediate risk in the 2020 European Society of Gynaecological Oncology, European Society for Radiotherapy and Oncology, and European Society of Pathology (ESGO-ESTRO-ESP) guidelines, and the 2022 European Society of Medical Oncology (ESMO) guidelines, is currently unclear. Practice varies from surgery alone to adjuvant radiation±chemotherapy. Our aim was to assess the risk of disease recurrence in patients with stage IA p53abn endometrial cancer without myoinvasion compared with stage IA with myoinvasion (<50%).

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Our aim was to assess the molecular subtype(s) and perform a detailed morphologic review of tumors diagnosed as carcinosarcoma in a population-based cohort. Forty-one carcinosarcomas were identified from a cohort of 973 endometrial carcinomas diagnosed in 2016. We assessed immunostaining and sequencing data and undertook expert pathology reviews of these cases as well as all subsequently diagnosed (post-2016) carcinosarcomas of no specific molecular profile (NSMP) molecular subtype (n=3) from our institutions.

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Objective: To compare perioperative and postoperative complications in patients who underwent opportunistic salpingectomy (OS) (removal of the fallopian tubes for ovarian cancer risk reduction during another surgery) at the time of cesarean section (C-section) with those in patients who underwent tubal ligation.

Design: A population-based, retrospective cohort study.

Setting: British Columbia, Canada.

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Objectives: Opportunistic salpingectomy (OS) is the removal of fallopian tubes during another pelvic surgery for the purpose of ovarian cancer prevention. Herein, we describe the rates of OS at the time of hysterectomy and tubal sterilization between 2017 and 2020.

Methods: This study uses the Canadian Institute of Health Information's Discharge Abstract Database and National Ambulatory Care Reporting System for all Canadian provinces and territories except for Quebec between the fiscal years 2017 and 2020.

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An updated International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial carcinoma was introduced in June 2023. The new system represents a significant departure from traditional endometrial and other gynecological carcinoma staging systems which are agnostic of parameters such as tumor type, tumor grade, lymphovascular space invasion, and molecular alterations. The updated system, which incorporates all of these 'non-anatomical' parameters, is an attempt to make staging more personalized and relevant to patient prognostication and management, and to align with the European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology/European Society of Pathology (ESGO/ESTRO/ESP) risk stratification.

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Purpose: The clinical significance of the p53-abnormal (p53abn) molecular subtype in stage I low-grade endometrioid endometrial carcinoma (EEC) is debated. We aimed to review pathologic and molecular characteristics, and outcomes of stage I low-grade p53abn EEC in a large international cohort.

Experimental Design: Previously diagnosed stage I p53abn EC (POLE-wild-type, mismatch repair-proficient) low-grade EEC from Canadian retrospective cohorts and PORTEC-1&2 trials were included.

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Aims: The significance of subclonal expression of p53 (abrupt transition from wild-type to mutant-pattern staining) is not well understood, and the arbitrary diagnostic cut-off of 10% between NSMP and p53abn molecular subtypes of endometrial carcinoma (EC) has not been critically assessed. Our aim was to characterise subclonal p53 and discrepant p53 expression/TP53 sequencing results in EC and assess their clinical significance.

Methods And Results: Subclonal p53 immuostaining on whole sections from 957 ECs was recorded.

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Purpose: Endometrioid ovarian carcinoma (ENOC) is the second most-common type of ovarian carcinoma, comprising 10%-20% of cases. Recently, the study of ENOC has benefitted from comparisons to endometrial carcinomas including defining ENOC with four prognostic molecular subtypes. Each subtype suggests differential mechanisms of progression, although tumor-initiating events remain elusive.

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Objectives: Despite recommendations for integrating molecular classification of endometrial cancers (EC) into pathology reporting and clinical management, uptake is inconsistent. To assign ProMisE subtype, all molecular components must be available (POLE mutation status, mismatch repair (MMR) and p53 immunohistochemistry (IHC)) and often these are assessed at different stages of care and/or at different centres resulting in delays in treatment. We assessed a single-test DNA-based targeted next generation sequencing (NGS) molecular classifier (ProMisE NGS), comparing concordance and prognostic value to the original ProMisE classifier.

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Purpose: Detection of 11 pathogenic variants in the gene in endometrial cancer (EC) is critically important to identify women with a good prognosis and reduce overtreatment. Currently, status is determined by DNA sequencing, which can be expensive, relatively time-consuming, and unavailable in hospitals without specialized equipment and personnel. This may hamper the implementation of -testing in clinical practice.

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Abnormal p53 (p53abn) immunohistochemical (IHC) staining patterns can be found in vulvar squamous cell carcinoma (VSCC) and differentiated vulvar intraepithelial neoplasia (dVIN). They can also be found in the adjacent skin that shows morphology that falls short of the traditional diagnostic threshold for dVIN. Vulvectomy specimens containing human papillomavirus-independent p53abn VSCC with margins originally reported as negative for invasive and in situ disease were identified.

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