Citations

Abstract Black/African American populations, globally, bear the greatest prostate cancer (CaP) burden compared to other racial/ethnic groups. Addressing CaP disparities in Black men is complex, requiring a patient-centered, community-centric and comprehensive approach. This study integrates iCCaRE Consortium findings and broader literature to address unmet needs in survivorship care. The iCCaRE Consortium implemented five complementary pilot studies using mixed-methods designs, including feasibility trials, qualitative research, and observational analyses across the United States and sub-Saharan Africa. Descriptive statistics, subgroup analyses, and qualitative thematic analyses were performed across these studies. Collectively, projects addressed multilevel determinants including social, behavioral, and biological drivers of disparities. Project 1 implemented a Virtual Reality Assistant (ViRA) across clinical and community settings, with ongoing evaluation in pragmatic trials. Project 2 showed strong patient preference for home-based cancer care. Project 3 enrolled demonstrated trends toward improved health-related quality of life. Project 4 identified key themes influencing survivorship experiences. Project 5 identified biological mechanisms linking stress, immune modulation, and symptom burden. The iCCaRE pilot projects demonstrate the feasibility and early impact of a consortium-based, transdisciplinary approach to addressing CaP disparities in Black men. These findings highlight the importance of integrating patient-centered interventions, community engagement, and biological insights to inform scalable strategies aimed at improving survivorship outcomes and advancing health equity. The iCCaRE Consortium demonstrates that a transatlantic, patient-centered, and multidisciplinary approach integrating social, clinical, and biological factors can generate scalable strategies to improve survivorship outcomes and advance equity in CaP care for Black men.

Foundation models are reshaping computational pathology by enabling scalable task-agnostic representations of histopathological whole-slide images (WSIs). Unlike earlier task-specific deep learning systems, pathology foundation models (PFMs) leverage massive whole-slide image repositories and self-supervised Vision Transformer architectures to achieve broad generalization and few-shot adaptability. Their evolution reflects a shift from weakly supervised approaches such as Clustering-Constrained Attention Multiple Instance Learning (CLAM) and hierarchical architectures such as Hierarchical Image Pyramid Transformer (HIPT) to large-scale efforts including foundation models, UNI, Virchow, Phikon, CONtrastive learning from Captions for Histopathology (CONCH), GigaPath, H-Optimus, Transformer-Based Pathology Image and Text Alignment Network (TITAN), and the Mayo Clinic Atlas. These models demonstrate impressive performance across diagnostic and prognostic benchmarks while also opening pathways for multimodal integration with genomics and clinical data. Yet significant barriers remain including inconsistent generalization across institutions, interpretability lagging behind clinical needs, and slow integration into routine laboratory workflows. Certain domains of anatomic pathology such as cytopathology, transplant pathology, frozen sections, and rare tumor subtypes remain particularly resistant to current models. Here, we review the development of PFMs, critically evaluate their strengths and limitations, and outline priorities for their safe and effective clinical translation. We argue that the next phase of PFM development will depend on rigorous benchmarking, pathologist-in-the-loop deployment, and multimodal fusion ensuring these models evolve from research tools into clinically robust systems.

Abstract Introduction/Objective Cervical cancer remains a global health concern, with significantly higher incidence in countries like Peru compared to the U.S. Cytopathology plays a vital role in early detection and prevention, making it an important area of focus for aspiring pathologists. Methods/Case Report A medical student with an interest in pathology participated in a global health rotation in Cusco, Peru, at CerviCusco, a nonprofit clinic dedicated to cervical cancer care. Under the guidance of a trained cytotechnologist, the student engaged in hands-on cytopathology work, including processing and screening SurePath (Franklin Lakes, NJ) slides, and reviewing abnormal cases. The student had access to a microscope and dedicated time developing microscopy skills and learning cervical cytomorphology, with emphasis on identifying significant abnormalities. Results NA Conclusion This experience demonstrates the educational value of incorporating global health electives into medical training, especially in resource-limited settings with high disease burden. Exposure to such environments enhances foundational diagnostic skills and fosters an early appreciation for global health disparities. Expanding similar opportunities can enrich pathology education and inspire future contributions to international health efforts.

Abstract Disclosure: S. Thota-Kammili: None. J.A. McNeil: None. S.J. Peres: None. M.A. Edgar: None. J.P. Reynolds: None. J. Eleazer: None. A.Y. Chang: None. Introduction: 45,X/46,X,psrY mosaicism has been reported in the context of prenatal diagnosis with few reports on the developmental phenotype through adulthood. The 45,X/46,XY karyotype is well-studied and linked to ambiguous genitalia, dysgenetic gonads, and increased gonadal tumor risk. Less is known about 45,X/46,X,psrY mosaicism, characterized by partial Y chromosome retention. Phenotypic variability with a broad spectrum of phenotypes including Turner syndrome features, delayed puberty, hypogonadism and infertility depends on the extent and functionality of preserved Y chromosome material. We present a case of 45,X/46,X,idic(Y)(q11.21) mosaicism in an individual assigned male at birth, with a nonbinary intersex gender identity who received gender affirming feminizing hormone therapy (GAHT) before orchiectomy. Clinical Case: This is a case of a 36 y.o. patient who was found to have 45,X/46,X +mar chromosomal abnormality prenatally and initially diagnosed with Turner’s syndrome. At birth, patient had male genitalia, descended testes, and only slight hypospadias. Subsequent Y-DNA studies determined the unknown marker to be the sex determining region of the Y chromosome. Early evaluations showed appropriate responses to LHRH and ACTH, and developmental milestones were met without major health or behavioral concerns aside from a delay in puberty. The patient experienced early gender incongruence and faced questioning for gender expression. Delayed puberty led to testosterone therapy, worsening distress. Parents did not share the medical history with the patient until adulthood, when they notified them about the potential for infertility. During infertility evaluation, semen analysis revealed azoospermia. Testosterone therapy was re-attempted for hypogonadism but resulted in increased distress and patient began GAHT. Patient sought a second opinion on previous diagnosis of differences of sexual development (DSD). Chromosomal analysis revealed the 45,X/46,X,idic(Y)(q11.21) mosaicism, with duplication of Yp and deletion of the Yq. Pt was referred to urology for bilateral orchiectomy to reduce gonadal tumor risk and gender dysphoria. Pathology revealed atrophic seminiferous tubules with complete absence of spermatogenesis which were populated by Sertoli cells only and surrounded by thickened basal lamina. Leydig cells were markedly depleted. These changes are seen in transgender patients treated with estrogen prior to orchiectomy. Conclusion: Our case expands the phenotypic characterization of 45,X/46,X,idic(Y)(q11.21) mosaicism by detailing clinical features and previously unreported testicular pathology. This patient had minimal developmental concerns, and testicular pathology reflected changes associated with GAHT, highlighting the variability in phenotypic expression of 45,X/45,X,psrY mosaicism. Presentation: Sunday, July 13, 2025

Context.— Ensuring equitable laboratory patient care within diverse populations is a priority. The cytopathology laboratory has an important role in providing gender-inclusive care, particularly with regard to screening and prevention of human papillomavirus–related carcinoma, for individuals who are transgender, gender nonbinary, intersex, and with same-gender sexual orientation. Providing equitable care necessitates an understanding of gender-inclusive processes within the cytopathology laboratory. Many barriers to implementation exist and include sociocultural, legal, ethical, and financial hurdles. Objective.— To review the current literature regarding gender-inclusive care within a multi-institutional setting and identify challenges and opportunities for future growth in cytopathology. Specific areas of focus include appropriate terminology in laboratory information systems and requisitions, and variables affecting Papanicolaou test interpretation, human papillomavirus testing, and anal Papanicolaou test screening. Data Sources.— Primary literature was searched within the areas highlighted throughout the article. Multi-institutional experiences from the authors, in addition to editorials and expert opinion, were used. Conclusions.— The cytopathology laboratory has an important role in providing care that is inclusive and accurate for all patients. Gaps in care exist and further work is needed to address these disparities. This review attempts to increase awareness, educate, and share our own multi-institutional experiences, and calls for improvements in cytopathology to optimize quality in gender-inclusive patient care.

ABSTRACTObjectivesThyroglossal duct cyst (TGDC) associated carcinoma is rare, accounting for less than 2% of TGDC cases. The majority of cases are classified as papillary thyroid carcinoma (PTC). Standard treatment for TGDC‐PTC involves a Sistrunk procedure and prophylactic total thyroidectomy (TT). However, the necessity of these extensive surgical interventions remains debated. This report aims to explore whether individualized surgical approaches may reduce morbidity while maintaining favorable oncological outcomes.MethodsRetrospective case series of three patients with TGDC‐PTC.ResultsThe age range at presentation for our patients with TGDC‐PTC was 26 to 50. Case 1 involved a 38‐year‐old patient with a cystic mass near the hyoid bone and submental lymphadenopathy who underwent cyst excision with level Ia lymph node clearance. Case 2 is of a 50‐year‐old patient with a history of TGDC‐PTC who presented with a recurrent neck mass 9 years after the initial surgery and underwent a revision Sistrunk procedure. Case 3 presents a 26‐year‐old patient with a large TGDC and a benign thyroid nodule who underwent a Sistrunk procedure. All three patients had PTC confirmed by final pathology. All had no evidence of recurrent disease at follow‐up evaluations ranging from 1 to 12 years.ConclusionThis case series demonstrates the feasibility and safety of individualized surgical management for TGDC‐PTC. Risk stratification allowed for tailored interventions and avoided overly aggressive approaches. Further studies are needed to establish definitive guidelines for managing TGDC‐PTC, particularly in low‐risk patients.Level of Evidence4.

Artificial Intelligence (AI) has the potential to revolutionize cytopathology by enhancing diagnostic accuracy, efficiency, and accessibility. However, the implementation of AI in this field presents significant challenges and opportunities. This review paper explores the current landscape of AI applications in cytopathology, highlighting the critical challenges, including data quality and availability, algorithm development, integration and standardization, and clinical validation. We discuss challenges such as the limitation of only one optical section and z-stack scanning, the complexities associated with acquiring high-quality labeled data, the intricacies of developing robust and generalizable AI models, and the difficulties in integrating AI tools into existing laboratory workflows. The review also identifies substantial opportunities that AI brings to cytopathology. These include the potential for improved diagnostic accuracy through enhanced detection capabilities and consistent, reproducible results, which can reduce observer variability. AI-driven automation of routine tasks can significantly increase efficiency, allowing cytopathologists to focus on more complex analyses. Furthermore, AI can serve as a valuable educational tool, augmenting the training of cytopathologists and facilitating global health initiatives by making high-quality diagnostics accessible in resource-limited settings. The review underscores the importance of addressing these challenges to harness the full potential of AI in cytopathology, ultimately improving patient care and outcomes.

TPS2700 Background: Though immunotherapy with anti-PD-1 immune checkpoint inhibitors (ICIs) has led to improvements in clinical outcomes in patients with cancer, when used as monotherapy in the advanced setting, only 18-25% of patients respond to ICI. Notably, ICI frequently lacks anti-tumor activity in immune-cold cancers where T cell priming is missing. Recent breakthroughs in identifying personal neoantigens via a comprehensive analysis of cancer sequencing data have brought increased attention to neoantigen cancer vaccines. Personalized cancer vaccines targeting neoantigens have shown early promise. While neoantigens have recently been investigated in some cancer types, the current neoantigen prediction algorithms have often focused on the MHC class-I subtype, single nucleotide mutations (SNM), small insertions and deletions (INDEL). We recently developed an informatics workflow, REAL-neo, for the identification, quality control (QC), and prioritization of both class-I and class-II human leukocyte antigen (HLA) bound neoantigens that arise from somatic SNM, INDEL, aberrant RNA splicing, and gene fusions, generating much more potent neoantigen candidates. Furthermore, we demonstrated robust T-cell response and prolonged survival by combining ICI and cancer vaccines in preclinical models. This single-arm phase I clinical trial is in progress to assess the safety, feasibility, and immunogenicity of personalized neoantigen vaccines in combination with pembrolizumab in patients with advanced solid cancers. Methods: The vaccine consists of up to 20 peptides (15-30 mer) comprising patient-specific neoantigens identified from tumor DNA and mRNA sequencing data using REAL-neo and delivered with GM-CSF as an adjuvant. The first cohort of three patients will be treated at dose level 1 consisting of 4 or 5 peptides at 300 mcg/peptide and GM-CSF 125 mcg per injection site in each of four limbs. After Cohort 1 is deemed safe, the study will expand to cohort 2, when patients will be enrolled at the same dose level for vaccine plus Pembrolizumab 200 mg i.v. Neoantigen vaccine will be given via subcutaneous injection on days 1, 4, 8, 15, and 21 (cohorts 1 and 2) and weeks 5 and 8 (booster dose for cohort 2 only). Cohort 1 has been completed without dose-limiting toxicity (DLT). Enrollment in Cohort 2 began in January 2024. AEs are assessed according to CTCAE v5. and safety findings are reviewed by data safety medical board (DSMB). Key eligibility criteria include 1) histologically confirmed locally advanced or metastatic solid malignancies and 2) cancer progression after at least one line of the standard-of-care (SOC) systemic treatment. For cohort 2, patients must be eligible to receive pembrolizumab per SOC or the treating physician’s judgment. Clinical trial information: NCT05269381 .

Abstract Diversity, equity, and inclusion is a powerful goal which many of us strive toward in medicine, both in patient care and administrative leadership. As the world evolves, the practice of medicine must evolve with it. We are cognizant of the importance of the history of our medical specialties. If we do not acknowledge all parts of our history, we are doomed to repeat it. This special issue is unique and unlike anything that has previously been published in Diagnostic Cytopathology. This issue looks at some of the history of cytopathology. This historical review is followed by some of the present state of cytopathology. There are insights into global cytopathology. The final portion of this issue examines the critical need for cytotechnology schools in the United States. All of these areas are critical to the past, present, and future of cytopathology.

Abstract Metastatic castration-resistant prostate cancer (mCRPC) is an aggressive malignancy with poor outcomes. To investigate novel therapeutic strategies, we characterized three new metastatic prostate cancer patient derived-tumor xenograft (PDTX) models and developed 3D spheroids from each to investigate molecular targeted therapy combinations including CDK4/6 inhibitors (CDK4/6i) with AKT inhibitors (ATKi). Metastatic prostate cancer tissue was collected and three PDTX models were established and characterized using whole-exome sequencing. PDTX 3D spheroids were developed from these three PDTXs to show resistance patterns and test novel molecular-targeted therapies. CDK4/6i's were combined with AKTi's to assess synergistic antitumor response to prove our hypothesis that blockade of AKT overcomes drug resistance to CDK4/6i. This combination was evaluated in PDTX three-dimensional (3D) spheroids and in vivo experiments with responses measured by tumor volumes, PSA, and Ga-68 PSMA-11 PET-CT imaging. We demonstrated CDK4/6i's with AKTi's possess synergistic antitumor activity in three mCRPC PDTX models. These models have multiple unique pathogenic and deleterious genomic alterations with resistance to single-agent CDK4/6i's. Despite this, combination therapy with AKTi's was able to overcome resistance mechanisms. The IHC and Western blot analysis confirmed on target effects, whereas tumor volume, serum PSA ELISA, and radionuclide imaging demonstrated response to therapy with statistically significant SUV differences seen with Ga-68 PSMA-11 PET-CT. These preclinical data demonstrating antitumor synergy by overcoming single-agent CDK 4/6i as well as AKTi drug resistance provide the rational for a clinical trial combining a CDK4/6i with an AKTi in patients with mCRPC whose tumor expresses wild-type retinoblastoma 1.