Introduction: Merkel cell carcinoma (MCC) is an aggressive skin cancer with a poor prognosis, which only improved with the introduction of immunotherapies. An MCC prediction model with high diagnostic accuracy is lacking. The aim was to develop an MCC prognostic score (MCC-PS) based on combinations of previously proposed risk factors.
Methods: A multicentric, retrospective study was conducted to develop MCC-PS, which included age, neuron-specific enolase (NSE), C-reactive protein (CRP), creatinine, bilirubin, and international normalized ratio (INR). Creatinine, bilirubin, and INR were used to calculate the model of end-stage liver disease (MELD) score. A total of 98 patients were included in the study, including 36.7% with stage I according to American Joint Committee on Cancer 2018 ( = 36), 30.6% with stage II ( = 30), 25.5% with stage III ( = 25), and 7.1% with stage IV ( = 7). Survival data of MCC patients were correlated with selected laboratory parameters and risk factors. Primary endpoint was MCC-specific survival (MSS) and the secondary endpoint was progression-free survival. Several statistical methods were used to develop the prognostic score, including correlation analysis, Kaplan-Meier curves, Cox regression, and time-dependent receiver operating characteristic analysis.
Results: The MCC-PS is based on the sum of the following baseline variables: elevated CRP (≥5.5 mg/l), elevated NSE (≥22.8 µg/l), MELD score ≥ 11, and age ≥ 75 years. An MELD score ≥ 11 was scored as 4 points, elevated NSE level as 3 points, elevated CRP level as 2 points, and age ≥ 75 years as 1 point. A high-risk group according to the MCC-PS was characterized by a score of 4 or more points. The high-risk group was associated with a worse prognosis than the low-risk group (1-year MSS 62%, 2-year 43.1%, 5-year 17.6% as compared to 1-year MSS 79.5%, 3-year 75%, 5-year 72%). Notably, the developed MCC-PS predicts MCC outcome measures with high accuracy (3-year MSS: area under the curve (AUC) 0.934, sensitivity 87.5% and specificity 82.2%; 5-year MSS: AUC 0.93, sensitivity 89% and specificity 82%).
Conclusion: MCC-PS is the first prognostic score predicting MCC outcome with a high accuracy based on five easily available laboratory parameters and patient's age. An MCC-PS of 4 or more indicates a high-risk patient associated with a poor prognosis.
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http://dx.doi.org/10.3389/fonc.2024.1427740 | DOI Listing |
JAMA Cardiol
January 2025
National Heart and Lung Institute, Imperial College London, United Kingdom.
Importance: Hypertension underpins significant global morbidity and mortality. Early lifestyle intervention and treatment are effective in reducing adverse outcomes. Artificial intelligence-enhanced electrocardiography (AI-ECG) has been shown to identify a broad spectrum of subclinical disease and may be useful for predicting incident hypertension.
View Article and Find Full Text PDFIntroduction: Primary sclerosing cholangitis (PSC) is a biliary disorder associated with a high risk of end-stage liver disease and cholangiocarcinoma (CCA). Currently prediction of the unfavorable outcomes is hindered by the lack of valuable prognostic biomarkers.
Objectives: The aim of the study was to assess the prevalence of the autoantibodies in PSC and define their potential use as the predictors of progressive disease and CCA in a large, prospective cohort of PSC patients.
World J Orthop
December 2024
Department of Orthopaedic Surgery, The University of Tokyo, Bunkyo-ku 113-8655, Tokyo, Japan.
Background: Accurate data on the prognosis of bone metastases are necessary for appropriate treatment. Immune checkpoint inhibitors (ICIs) are widely used in the treatment of gene mutation-negative non-small cell lung cancer (GMN-NSCLC).
Aim: To investigate the prognostic factors in patients with bone metastases from GMN-NSCLC following ICI use.
Front Immunol
January 2025
Department of Urology, People's Hospital of Deyang City, Chengdu University of Traditional Chinese Medicine, Deyang, China.
Objective: The high hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been reported to be a good prognostic indicator for several malignancies. However, more evidence is needed before it can be introduced into clinical practice. Here, we systematically evaluated the predictive value of HALP for survival outcomes in patients with solid tumors.
View Article and Find Full Text PDFJ Cancer
January 2025
Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, China.
We studied the prognostic value of in colorectal cancer (CRC) using bioinformatics. exhibited differential expression between the tumor and control samples, and improved survival was observed in patients with increased expression. The univariate and multivariate analyses confirmed as an independent prognostic factor for CRC, based on which a nomogram was constructed for predicting survival in patients with CRC.
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