Project description:BackgroundAlthough tissue microarrays (TMAs) are commonly employed in clinical and basic-science research, there are no guidelines for evaluating the appropriateness of a TMA for a given biomarker and tumor type. Furthermore, TMA performance across multiple biomarkers has not been systematically explored.MethodsA simulated TMA with between 1 and 10 cores was designed to study tumor expression of 6 biomarkers with varied expression patterns (B7-H1, B7-H3, survivin, Ki-67, CAIX, and IMP3) using 100 patients with clear cell renal cell carcinoma (RCC). We evaluated agreement between whole tissue section and TMA immunohistochemical biomarker quantification to assess how many TMA cores are necessary to adequately represent RCC whole tissue section expression. Additionally, we evaluated associations of whole tissue section and TMA expression with RCC-specific death.ResultsThe number of simulated TMA cores necessary to adequately represent whole tissue section quantification is biomarker specific. Although 2-3 cores appeared adequate for B7-H3, Ki-67, CAIX, and IMP3, even as many as 10 cores resulted in poor agreement for B7-H1 and survivin compared to RCC whole tissue sections. While whole tissue section B7-H1 was significantly associated with RCC-specific death, no significant associations were detected using as many as 10 TMA cores, suggesting that TMAs can result in false-negative findings if the TMA is not optimally designed.ConclusionsPrior to TMA analysis, the number of TMA cores necessary to accurately represent biomarker expression on whole tissue sections should be established as there is not a one-size-fits-all TMA. We illustrate the use of a simulated TMA as a cost-effective tool for this purpose.

| S-EPMC2910003 | biostudies-literature

Acetylcysteine for paracetamol: Will one size ever fit all?

Project description: Not available

| S-EPMC7082209 | biostudies-literature

Probiotics and COVID-19: one size does not fit all.

Project description: Not available

| S-EPMC7182525 | biostudies-literature

Pharmacogenomics and patient care: one size does not fit all.

Project description:The time is ripe to assess whether pharmacogenomics research--the study of the genetic basis for variation in drug response--has provided important insights into a personalized approach to prescribing and dosing medications. Here, we describe the status of the field and approaches for addressing some of the open questions in pharmacogenomics research and use of genetic testing in guiding drug therapy.

| S-EPMC3963516 | biostudies-literature

Well-being and burnout: One size does not fit all.

Project description:Well-being and burnout are concepts that have become well described throughout emergency medicine. In the past, both well-being and burnout have been defined and addressed as a singular phenomenon, similar for all physicians, regardless of career stage. However, unique stressors may exist for physicians, as a function of their work environment and stage. In this concepts article we present clinician well-being as a dynamic and continuous process, subject to unique factors along the professional lifespan. Specific individual and system-level factors are discussed, ranging from demographic variables, to evolving administrative and professional responsibilities depending on the career stage of a clinician. This detailed description of stressors spanning an emergency physician's professional career may help create more targeted physician well-being and burnout interventions.

| S-EPMC7280727 | biostudies-literature

Intraoperative hypotension and patient outcome: does "one size fit all?".

Project description: Not available

| S-EPMC5508107 | biostudies-literature

Dementia risk scores, apolipoprotein E, and risk of Alzheimer's disease: One size does not fit all.

Project description:IntroductionEvaluating the generalizability of dementia risk scores, primarily developed in non-Latinx White (NLW) participants, and interactions with genetic risk factors in diverse populations is crucial for addressing health disparities.MethodsWe analyzed the association of the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) and modified CAIDE (mCAIDE) scores with dementia risk using logistic regression models stratified by race/ethnicity in National Alzheimer's Coordinating Center (NACC) and Alzheimer's Disease Neuroimaging Initiative (ADNI), and assessed their interaction with apolipoprotein E (APOE).ResultsHigher CAIDE scores were associated with an increased risk of dementia in Asian, Latinx, and NLW participants but not in Black participants. In contrast, higher mCAIDE scores were also associated with an increased risk of dementia in Black participants. Unfavorable mCAIDE risk profiles exacerbated the apolipoprotein E*ε4 (APOE*ε4) risk effect and attenuated the APOE*ε2 protective effect.DiscussionOur findings underscore the importance of evaluating the validity of dementia risk scores in diverse populations for their use in personalized medicine approaches to promote brain health.HighlightsDementia risk scores demonstrate race/ethnic-specific effects on dementia risk. Unfavorable modifiable risk profiles moderate the effect of APOE on dementia risk. Dementia risk scores need to be validated in diverse populations.

| S-EPMC11667490 | biostudies-literature

One Size Does Not Fit All: Genetic Prediction of Kawasaki Disease Treatment Response in Diverse Populations.

Project description: Not available

| S-EPMC5661947 | biostudies-literature

One size does not fit all: prediction of presence of pleural adhesions.

Project description: Not available

| S-EPMC10636472 | biostudies-literature