Citations

Abstract This study aims to advance breast cancer (BC) subtype classification by employing machine learning algorithms to identify key diffusion parameters from apparent diffusion coefficient (ADC0-800) histogram, intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI). A total of 148 newly diagnosed BC patients were enrolled, confirmed through core needle biopsy, and subjected to histopathological analyses to assess key molecular markers such as estrogen and progesterone receptors (collectively termed hormone receptors), HER2, and ki67. These markers were then used to classify BC subtypes. Utilizing advanced post-processing techniques on multi-b-value MR Images, the study employed a diverse set of machine learning (ML) algorithms (supervised, unsupervised, and deep learning techniques) to quantitatively assess their diagnostic utility and subsequently identify algorithmically refined diffusion signatures. Machine learning algorithms demonstrated varying efficacies in the classification of BC subtypes. Key diffusion parameters were prioritized based on feature importance values from the ML models with the highest mean AUC and were further validated using group comparison tests and univariate logistic regression. In conclusion, our findings underscore the importance of tailored ML algorithms in classifying BC subtypes and advocate for a synergistic approach in personalized oncology and precision medicine.

Diabetic foot ulcers (DFUs) are classified as hard-to-heal wounds, which occur in approximately 15% of diabetic patients. Several interventions have shown efficacy in reducing the risk of amputation among patients with DFU, including timely diagnosis and management of infection and ischemia, debridement of necrotic tissues, reducing mechanical pressure on ulcers, and patient education. One major challenge in the management of DFUs is optimizing wound care to improve healing outcomes. Recently, interdisciplinary approaches proposed a new generation of wound dressing which increased efficacy and significantly decreased the healing time. The current study assessed the healing characteristics of chronic DFUs treated with lyophilized amniotic membrane gel (LAMG) in combination with standard care, versus a placebo hydrogel with standard care. In total, 18 patients (8 male, 10 female) were randomly assigned to the control group, which received standard care and a gelatin scaffold (placebo), or the intervention group, which received standard care along with LAMG. We evaluated the reduction in wound size and assessed the patient's health-related quality of life over 9 weeks. In the LAMG group (n = 9) and the Placebo group (n = 9), the wounds were reduced in size by a mean of 73.4% ± 15.3% and 13.1% ± 10.1%, respectively ( P = .008). Patients treated with LAMG demonstrated significant improvements in the scores related to physical function, physical limitation, physical pain, general health, social function, emotional problems, and energy levels compared to the control group. The findings of this study indicate that using the LAMG with standard care significantly enhances wound healing.

ABSTRACTObjectivesWe aimed to investigate the gender-based differences in idiopathic inflammatory myopathies (IIMs), with a particular focus on patient-reported outcomes, utilizing the data obtained through the international COVID-19 vaccination in autoimmune disease e-survey.MethodsPatient-reported outcomes including fatigue, pain, and physical function were extracted from the COVID-19 vaccination in autoimmune disease database and compared between genders, adjusting for demographics and IIM subgroups by multivariable analysis. Inclusion body myositis (IBM) was analysed separately because of the substantial differences in outcomes.ResultsA total of 1197 complete responses from patients with IIMs as of 31 August 2021 were analysed. Seventy percent were women. Women were younger (58 [48–68] vs. 69 [58–75] years old, median [interquartile range], P < .001) and were more likely to suffer from autoimmune multimorbidity, defined as three or more autoimmune diseases in an individual patient (11.4% vs. 2.8%, P < .001). In non-IBM IIMs, fatigue visual analogue scale scores were higher in women (5 [3–7] vs. 4 [2–6], median [interquartile range], P = .004), whereas no significant gender-based differences were noted in IBM. Multivariable analysis in non-IBM IIMs revealed that women, residence in high-income countries, overlap myositis, and autoimmune multimorbidity were independently associated with increased fatigue.ConclusionsWomen with IIMs suffer from autoimmune multimorbidity and experience increased fatigue compared to men.

Abstract Objectives We investigated coronavirus disease 2019 (COVID-19) vaccine safety in pregnant and breastfeeding women with autoimmune diseases (AID) in the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study. Methods Delayed-onset (>7 days) vaccine-related adverse events (AE), disease flares and AID-related treatment modifications were analysed upon diagnosis of AID vs healthy controls (HC) and the pregnancy/breastfeeding status at the time of at least one dose of vaccine. Results Among the 9201 participants to the self-administered online survey, 6787 (73.8%) were women. Forty pregnant and 52 breastfeeding patients with AID were identified, of whom the majority had received at least one dose of COVID-19 vaccine (100% and 96.2%, respectively). AE were reported significantly more frequently in pregnant than in non-pregnant patients (overall AE 45% vs 26%, P = 0.01; minor AE 40% vs 25.9%, P = 0.03; major AE 17.5% vs 4.6%, P < 0.01), but no difference was found in comparison with pregnant HC. No difference was observed between breastfeeding patients and HC with respect to AE. Post-vaccination disease flares were reported by 17.5% of pregnant and 20% of breastfeeding patients, and by 18.3% of age- and disease-matched non-pregnant and non-breastfeeding patients (n = 262). All pregnant/breastfeeding patients who experienced a disease flare were managed with glucocorticoids; 28.6% and 20% of them required initiation or change in immunosuppressants, respectively. Conclusion This study provides reassuring insights into the safety of COVID-19 vaccines administered to women with AID during the gestational and post-partum periods, helping overcome hesitant attitudes, as the benefits for the mother and for the fetus by passive immunization appear to outweigh potential risks.

Adaptive optics (AO) retinal imaging enables individual photoreceptors to be visualized in the clinical setting. AO imaging can be a powerful clinical tool for detecting photoreceptor degeneration at a cellular level that might be overlooked through conventional structural assessments, such as spectral-domain optical coherence tomography (SD-OCT). Therefore, AO imaging has gained significant interest in the study of photoreceptor degeneration, one of the most common causes of inherited blindness. Growing evidence supports that AO imaging may be useful for diagnosing early-stage retinal dystrophy before it becomes apparent on fundus examination or conventional retinal imaging. In addition, serial AO imaging may detect structural disease progression in early-stage disease over a shorter period compared to SD-OCT. Although AO imaging is gaining popularity as a structural endpoint in clinical trials, the results should be interpreted with caution due to several pitfalls, including the lack of standardized imaging and image analysis protocols, frequent ocular comorbidities that affect image quality, and significant interindividual variation of normal values. Herein, we summarize the current state-of-the-art AO imaging and review its potential applications, limitations, and pitfalls in patients with inherited retinal diseases.

Abstract Cancer stem cells (CSCs) defined as a small fraction of cells within malignancies have been isolated from tumors with different histological origins with stem related characteristics such as self-replicating potential, tumorigenesis, and therapy resistance. The dynamic communication between CSCs and tumor microenvironment particularly immune cells orchestrates their fate and plasticity as well as the patient outcome. According to recent evidence, it has been reported that they harness different immunological pathways to escape immunosurveillance and express aberrantly immunomodulatory agents or decreased levels of factors forming antigen presenting machinery (APM), subsequently followed by impaired antigen presentation and suppressed immune detection. As effective therapies are expected to be able to eradicate CSCs, mechanistic understanding of such interactions can provide insights into causes of therapy failure particularly in immunotherapy. Also, it can contribute to enhance the practical interventions against CSCs and their immunomodulatory features resulting in CSCs eradication and improving patient clinical outcome. The aim of this review is to explain the present knowledge regarding the immunobiology of CSCs and the immunoevasion mechanisms they use.

This discussion summarizes the NCCN Clinical Practice Guidelines for managing squamous cell anal carcinoma, which represents the most common histologic form of the disease. A multidisciplinary approach including physicians from gastroenterology, medical oncology, surgical oncology, radiation oncology, and radiology is necessary. Primary treatment of perianal cancer and anal canal cancer are similar and include chemoradiation in most cases. Follow-up clinical evaluations are recommended for all patients with anal carcinoma because additional curative-intent treatment is possible. Biopsy-proven evidence of locally recurrent or persistent disease after primary treatment may require surgical treatment. Systemic therapy is generally recommended for extrapelvic metastatic disease. Recent updates to the NCCN Guidelines for Anal Carcinoma include staging classification updates based on the 9th edition of the AJCC Staging System and updates to the systemic therapy recommendations based on new data that better define optimal treatment of patients with metastatic anal carcinoma.

Abstract Defects in the homologous recombination (HR) pathway, particularly in BRCA2, are of particular therapeutic relevance in mCRPC as they confer sensitivity to PARP inhibitors (PARPi). Nevertheless, durable responses to PARPi remain elusive and primary resistance is an additional major challenge. As a result, dissecting therapeutic vulnerabilities in HR-aberrant patients is crucial and may reveal novel PARPi-based combinations for evaluation in future clinical trials.In this multi-institutional study, we used the CLIA-certified PredicineCARE™ cell-free DNA (cfDNA) assay that assesses 152 genes to profile plasma from 375 mCRPC patients from Australia and the USA. Reportable alterations included pathogenic single-nucleotide (somatic and germline) and copy number variants. Association between alterations and clinical outcomes were assessed using log rank, cox proportional, and chi-squared analyses.Overall, 65 patients (17%) had evidence of a pathogenic BRCA2 aberration, which were commonly hemizygous (78% vs 22% homozygous deletions), monoallelic (70% vs 30% bi-allelic), somatic (87% vs 13% germline), and clonal (83% vs 17% subclonal) in nature. There was no significant difference in plasma tumour fraction in patients with single vs two-copy loss of BRCA2, and BRCA2 zygosity did not have differing effects on outcomes, with both being similarly associated with shorter overall survival (HR 0.48, p<0.002, and HR 0.45, p=0.003, respectively). Pathogenic BRCA1 aberrations were present in 10 patients (3%). PSA response rates to androgen-receptor pathway inhibitors (ARPI) were significantly lower in patients with a BRCA1 and/or a BRCA2 aberration (32% vs 60%, p=0.02), and we observed this BRCA-defective subgroup to be enriched for AR aberrations (71% had >1 AR aberration vs 38% in BRCA-intact patients, p=0.001). BRCA-defective cancers were also significantly enriched for aberrations in key neuroendocrine markers TP53 (62% vs 28%), RB1 (60% vs 17%), and MYC (27% vs 9%), as well as for PI3K pathway aberrations (PTEN 63% vs 25% and PIK3CA 37% vs 14%). In summary, we show that BRCA alterations are associated with worse prognosis in mCRPC and reduced benefit from ARPI, and that the prognostic and predictive utility of cfDNA-detected BRCA2 may be independent of zygosity state, potentially due to constraints with copy number loss identification in samples with low tumour DNA. Additionally, on top of a high proportion of AR alterations, BRCA-defective cancers were also enriched in a number of potentially actionable targets and neuroendocrine markers. Clinical trials that leverage rational co-targeting strategies will provide an opportunity to enhance the efficacy of PARPi in mCRPC. Citation Format: Heidi Fettke, Chao Dai, Edmond M. Kwan, Tiantian Zheng, Winston Tan, P Du, Nicole Ng, Patricia Bukszynska, Maria Docanto, L K. Graham, Kate Mahon, Lisa G. Horvath, Shidong Jia, Manish Kohli, Arun A. Azad. Adverse clinical outcomes and distinct genomic phenotype of BRCA-deficient metastatic castration-resistant prostate cancer (mCRPC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2303.