RESUMO
Approximately 65% of renal cell carcinomas (RCC) are diagnosed at a localized stage. We investigated the chromosome 5q gain impact on disease-free survival (DFS) in RCC patients. Overall, 676 patients with stages 1-2 RCC and having cytogenetic analysis were included. Gain of 5q was observed in 108 patients, more frequently in clear cell (ccRCC) than non-clear cell tumors. Gain of 5q is likely an independent prognostic factor since the concerned patients had a decreased recurrence risk in stages 1-2 RCC, confirmed in multivariable analysis. Detecting 5q gain could enhance recurrence risk assessment, allowing tailored post-surgery surveillance, and reducing unnecessary treatments.
Assuntos
Carcinoma de Células Renais , Neoplasias Renais , Humanos , Carcinoma de Células Renais/genética , Neoplasias Renais/genética , Prognóstico , Intervalo Livre de Doença , CromossomosRESUMO
The detection of lymph node metastases is essential for breast cancer staging, although it is a tedious and time-consuming task where the sensitivity of pathologists is suboptimal. Artificial intelligence (AI) can help pathologists detect lymph node metastases, which could help alleviate workload issues. We studied how pathologists' performance varied when aided by AI. An AI algorithm was trained using more than 32 000 breast sentinel lymph node whole slide images (WSIs) matched with their corresponding pathology reports from more than 8000 patients. The algorithm highlighted areas suspicious of harboring metastasis. Three pathologists were asked to review a dataset comprising 167 breast sentinel lymph node WSIs, of which 69 harbored cancer metastases of different sizes, enriched for challenging cases. Ninety-eight slides were benign. The pathologists read the dataset twice, both digitally, with and without AI assistance, randomized for slide and reading orders to reduce bias, separated by a 3-week washout period. Their slide-level diagnosis was recorded, and they were timed during their reads. The average reading time per slide was 129 seconds during the unassisted phase versus 58 seconds during the AI-assisted phase, resulting in an overall efficiency gain of 55% ( P <0.001). These efficiency gains are applied to both benign and malignant WSIs. Two of the 3 reading pathologists experienced significant sensitivity improvements, from 74.5% to 93.5% ( P ≤0.006). This study highlights that AI can help pathologists shorten their reading times by more than half and also improve their metastasis detection rate.
Assuntos
Inteligência Artificial , Neoplasias da Mama , Metástase Linfática , Biópsia de Linfonodo Sentinela , Humanos , Neoplasias da Mama/patologia , Neoplasias da Mama/diagnóstico , Feminino , Metástase Linfática/diagnóstico , Metástase Linfática/patologia , Interpretação de Imagem Assistida por Computador , Patologistas , Reprodutibilidade dos Testes , Valor Preditivo dos Testes , Variações Dependentes do Observador , Linfonodo Sentinela/patologia , Algoritmos , Fluxo de TrabalhoRESUMO
Importance: While an overwhelming majority of patients diagnosed with cancer express willingness to participate in clinical trials, only a fraction will enroll onto a research protocol. Objective: To identify critical barriers to trial enrollment to translate findings into actionable practice changes that increase cancer clinical trial enrollment. Design, Setting, and Participants: This survey study included designated site contacts at oncology practices with teams who were highly involved with the Association of Community Cancer Centers (ACCC) Community Oncology Research Institute (ACORI) clinical trials activities, all American Society of Clinical Oncology (ASCO)-ACCC collaboration pilot sites, and/or sites providing care to at least 25% African American and Hispanic residents. To determine participation trends among health care practices in oncology-focused research, identify barriers to clinical trial implementation and operation, and establish unmet needs for cancer clinics interested in trial participation, a 34-question survey was designed. Survey questions were defined within 3 categories: cancer center demographic characteristics, clinical trial characteristics, and referral practices. The survey was distributed through email and was open from June 20 through October 5, 2022. Main Outcomes and Measures: Participation in and barriers to conducting oncology trials in different community oncology settings. Results: The survey was distributed to 100 cancer centers, with completion by 58 centers (58%) across 25 states. Fifty-two centers (88%) reported that they conduct therapeutic clinical trials, of which 33 (63%) were from urban settings, 11 (21%) were from suburban settings, and 8 (15%) were from rural settings. Only 25% of rural practices (2 of 8) offered phase 1 trials, compared with 67% of urban practices (22 of 33) (P = .01). Respondents noted challenges in conducting research, including patient recruitment (27 respondents [52%]), limited staffing (27 [52%]), and nonrelevant trials for their patient population (25 [48%]). Among sites not offering therapeutic trials, barriers to research conduct included limited infrastructure, funding, and staffing. Most centers (46 of 58 [79%]) referred patients to outside centers for clinical trial enrollment, particularly in the context of late-stage disease and/or disease progression. Only 17 of these sites (37%) had established protocols for patient follow-up subsequent to outside referral. Conclusions and Relevance: In this national survey study of barriers to clinical trial implementation, most sites offered therapeutic trials, but there were significant disparities in trial availability across care settings. Furthermore, fundamental deficiencies in trial support infrastructure limited research activity, including within programs currently conducting research as well as at sites interested in future clinical research opportunities. These results identify crucial unmet needs for oncology clinics to effectively offer clinical trials to patients seeking care.
Assuntos
Ensaios Clínicos como Assunto , Humanos , Inquéritos e Questionários , Neoplasias/terapia , Seleção de Pacientes , Centros Comunitários de Saúde/estatística & dados numéricos , Estados Unidos , Institutos de Câncer/estatística & dados numéricos , FemininoRESUMO
Many patients diagnosed with cancer adopt dietary changes and supplement use, and a growing body of evidence suggests that such modifications can affect outcomes to cancer therapy. We sought to assess the prevalence of these practices and the surrounding physician-patient dialogue among patients with metastatic renal cell carcinoma. An online survey was administered by Kidney Cancer Research Alliance (KCCure), interrogating dietary modification patterns, supplement usage, out-of-pocket expenditure related to supplements, and patients' views toward alternative medicine practices. Patients with metastatic renal cell carcinoma receiving combination therapy were actively solicited. In total, 289 unique responses were collected. The most common first-line treatments were nivolumab/ipilimumab (32.4%) and axitinib/pembrolizumab (13.1%). Within the cohort, 147 (50.9%) started using supplements following diagnosis of renal cell carcinoma; the most utilized supplements were probiotics, cannabidiol (CBD) oil/marijuana, and Vitamin C, reported by 70 (47.6%), 61 (41.4%), and 54 (36.7%), respectively. Dietary modifications following cancer diagnosis were reported by 101 (34.9%) respondents, of which 19.8% followed the Mediterranean diet and 18.8% adopted a ketogenic diet. Most respondents (71.3%) noted that they consistently report supplement usage to their physicians. A substantial proportion of patients with metastatic renal cell carcinoma utilize dietary modification and supplements as an adjunct to antineoplastic therapy. Considering the widespread adoption of these practices and the reported effects on cancer treatment, it is crucial for healthcare providers to engage in discussions with patients regarding supplement use.