Results 91 to 100 of about 8,421,143 (315)

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

open access: yesMolecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia   +17 more
wiley   +1 more source

Navigating Sample Size Estimation for Qualitative Research

open access: yesJournal of Medical Evidence
There are well-established rules and methods about sample size estimation in quantitative research approaches. However, qualitative research approaches justify very little about sample size estimation principles and largely depend on subjective ...
Suresh K. Sharma   +5 more
doaj   +1 more source

On Sample Size Determination [PDF]

open access: yesMATHEMATICAL JOURNAL OF INTERDISCIPLINARY SCIENCES, 2014
One of the questions most frequently asked of a statistician is: how big should the sample be? Managers are anxious to obtain an answer to this fundamental question during the planning phase of the survey since it impacts directly on operational considerations such as the number of interviewers required.
openaire   +1 more source

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

open access: yesMolecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin   +14 more
wiley   +1 more source

Sample size calculation formula in "before-after" intervention studies with qualitative outcomes [PDF]

open access: yesPayesh
Dear Editor, In “before-after" intervention studies with qualitative outcome(s), we should not use the same formula when the outcome(s) are quantitative since the appropriate variance in this formula are not used and thus the sample size will not have ...
Ali Asghar Haeri-Mehrizi, Jila Sadighi
doaj  

Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial–mesenchymal transition and tumor‐infiltrating lymphocytes

open access: yesMolecular Oncology, EarlyView.
Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane   +16 more
wiley   +1 more source

Sample Size Estimation in Clinical Trials

open access: yesNational Journal of Community Medicine
Sample size estimation remains as a cornerstone in the meticulous planning and execution of clinical trials, pivotal for ensuring studies possess the requisite statistical power to discern meaningful treatment effects.
Divyangkumar Patel
doaj   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

open access: yesMolecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park   +6 more
wiley   +1 more source

Analyzing Sample Size in Information-Theoretic Models

open access: yesMathematics
In this paper, we delve into the complexities of information-theoretic models, specifically focusing on how we can model sample size and how it affects our previous findings.
D. Bernal-Casas, J. M. Oller
doaj   +1 more source

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