Palmar erythema as a sign of cancer

Maekawa, Michitaka

doi:10.3949/ccjm.84a.16114

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…The prognosis of liver cancer patients that HALLMARK ESTROGEN RESPONSE LATE pathway activated is better. Clinically, "Palmar Erythema" and "spider nevus" appear in the palms of some patients with cancer [34] and severe liver dysfunction [35]. These manifestations are caused by the decreased metabolism of estrogen in the liver, resulting in excessive estrogen [36] in the blood and stimulation of capillary arterial congestion and dilation.…”

Section: Discussionmentioning

confidence: 99%

Screening of Early Diagnostic Biomarkers and Prognostic Biomarkers for Liver Cancer Based on GEO and TCGA Databases and Studies on Pathways and Biological Functions Affecting the Survival Time of Liver Cancer

Gao

Gang

Tan

2020

Preprint

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BackgroundLiver cancer is the sixth most common diagnosed cancer, and the fourth most common cause of cancer death in the world. Currently, the most commonly used diagnostic marker in clinical practice is alpha-fetoprotein(AFP), but its diagnostic accuracy is low. At the same time, the prognosis of liver cancer patients is of great significance to the determination of the diagnosis and treatment of liver cancer and the improvement of the quality of life of the patients. Therefore, the purpose of this paper is to find new diagnostic markers and prognostic markers of liver cancer and to explore the pathways and biological functions related to the prognosis of liver cancer. MethodsWe firstly obtained the GSE25097 dataset and the the Cancer Genome Atlas(TCGA) datasets respectively and then analysed the differentially expressed genes(DEGs). To study the potential biological function of DEGs, we conducted enrichment analysis of GO biological functions and the Reactome pathway with R language. We used protein-protein interaction network analysis to identify the relationship among these common DEGs(Common DEGs), and further screened out the hub genes among these Common DEGs. We used ROC curve analysis to screen the hub genes to determine the genes that could be used as diagnostic markers of liver cancer. Kaplan-Meier analysis and Cox proportional hazards model were used to screen genes associated with prognosis of liver cancer, and further single-gene GSEA(gene set enrichment analysis) was performed on the prognosis genes to explore the mechanism affecting the survival and prognosis of liver cancer patients. ResultsWe obtained 790 DEGs and 2162 DEGs respectively from the GSE25097 and TCGA LIHC data sets, and get 102 Common DEGs by overlapping the two DEGs. We screened 22 hub genes from 102 Common DEGs. We used ROC curve and survival curve to analyze these 22 Hub genes, and found that there were 16 genes with the AUC > 90%, among which the expression levels of ESR1,SPP1 and FOSB genes were closely related to the survival time of liver cancer patients. We revealed all the related pathways of ESR1, FOSB and SSP1 genes by using single-gene GSEA analysis, and found three common pathways of ESR1, FOBS and SPP1 genes, seven common pathways of ESR1 and SPP1 genes, and four common pathways of ESR1 and FOSB genes.Conclusionwe found that ten genes with high expression in the liver cancer, including SPP1, AURKA, NUSAP1, TOP2A, UBE2C, AFP, GMNN, PTTG1, RRM2 and SPARCL1, and six genes with low expression, including CXCL12, FOS, DCN, SOCS3, FOSB and PCK1, can be used as markers of liver cancer diagnosis, among which FOBS and SPP1 genes can also be used as prognostic markers of liver cancer. Activation of the cell cycle-related pathway, PANCREAS BETA CELLS pathway, and the estrogen signalling pathway in LIVER CANCER patients, while inhibition of the HALLMARK HEME METABOLISM pathway, HALLMARK COAGULATION pathway, and the fat metabolism pathway may promote the prognosis in LIVER CANCER patients.

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Section: Discussionmentioning

confidence: 99%

Screening of Early Diagnostic Biomarkers and Prognostic Biomarkers for Liver Cancer Based on GEO and TCGA Databases and Studies on Pathways and Biological Functions Affecting the Survival Time of Liver Cancer

Gao

Gang

Tan

2020

Preprint

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Computational analysis for identification of early diagnostic biomarkers and prognostic biomarkers of liver cancer based on GEO and TCGA databases and studies on pathways and biological functions affecting the survival time of liver cancer

Gao

Gang

et al. 2021

BMC Cancer

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Background Liver cancer is the sixth most commonly diagnosed cancer and the fourth most common cause of cancer death. The purpose of this work is to find new diagnostic biomarkers or prognostic biomarkers and explore the biological functions related to the prognosis of liver cancer. Methods GSE25097 datasets were firstly obtained and compared with TCGA LICA datasets and an analysis of the overlapping differentially expressed genes (DEGs) was conducted. Cytoscape was used to screen out the Hub Genes among the DEGs. ROC curve analysis was used to screen the Hub Genes to determine the genes that could be used as diagnostic biomarkers. Kaplan-Meier analysis and Cox proportional hazards model screened genes associated with prognosis biomarkers, and further Gene Set Enrichment Analysis was performed on the prognosis genes to explore the mechanism affecting the survival and prognosis of liver cancer patients. Results 790 DEGs and 2162 DEGs were obtained respectively from the GSE25097 and TCGA LIHC data sets, and 102 Common DEGs were identified by overlapping the two DEGs. Further screening identified 22 Hub Genes from 102 Common DEGs. ROC and survival curves were used to analyze these 22 Hub Genes and it was found that there were 16 genes with a value of AUC > 90%. Among these, the expression levels of ESR1,SPP1 and FOSB genes were closely related to the survival time of liver cancer patients. Three common pathways of ESR1, FOBS and SPP1 genes were identified along with seven common pathways of ESR1 and SPP1 genes and four common pathways of ESR1 and FOSB genes. Conclusions SPP1, AURKA, NUSAP1, TOP2A, UBE2C, AFP, GMNN, PTTG1, RRM2, SPARCL1, CXCL12, FOS, DCN, SOCS3, FOSB and PCK1 can be used as diagnostic biomarkers for liver cancer, among which FOBS and SPP1 genes can also be used as prognostic biomarkers. Activation of the cell cycle-related pathway, pancreas beta cells pathway, and the estrogen signaling pathway, while on the other hand inhibition of the hallmark heme metabolism pathway, hallmark coagulation pathway, and the fat metabolism pathway may promote prognosis in liver cancer patients.

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Gastrointestinal System

Kilicaslan,

Tulek

2023

Health Assessment &Amp; Physical Examination in Nursing

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The gastrointestinal tract is a canal that starts from the mouth and extends to the anus and contains many organs. The gastrointestinal system is responsible for digestion and absorption in the body. Cells in the body need energy and certain nutrients to maintain their functions. The gastrointestinal system is the system in which food is broken down into nutrients and then absorbed to meet the body’s energy needs. The function of this system is to remove waste from the body at the end of the digestive process. It also plays a role in maintaining the body’s fluid and electrolyte balance. The gastrointestinal tract has a four-layered structure. Although it may have structural differences depending on the functions of the organs, from the inside to the outside, this channel consists of mucosa, submucosa, muscularis and serosa. The physical examination of the gastrointestinal system consists of five main steps: taking the patient’s history, inspection, palpation, auscultation, and percussion. In the first step, the nurse gathers information about the patient’s medical history, current complaints, and gastrointestinal symptoms. Next, during the inspection phase, the patient’s abdomen is examined for any discoloration, swelling, scars, or hernias. In the third step, palpation, the nurse gently examines the patient’s abdomen with hands, assessing for tenderness, rigidity, or masses. The fourth step, auscultation, involves using a stethoscope to listen to bowel sounds, evaluating their frequency, intensity, and pattern. Finally, in the percussion phase, the nurse lightly taps the abdomen with their fingertips to assess sounds, identifying any gas or fluid accumulation. This five-step process provides a thorough evaluation of the gastrointestinal system’s health and allows for the early detection of potential issues.

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Palmar erythema as a sign of cancer

Cited by 3 publications

References 6 publications

Screening of Early Diagnostic Biomarkers and Prognostic Biomarkers for Liver Cancer Based on GEO and TCGA Databases and Studies on Pathways and Biological Functions Affecting the Survival Time of Liver Cancer

Screening of Early Diagnostic Biomarkers and Prognostic Biomarkers for Liver Cancer Based on GEO and TCGA Databases and Studies on Pathways and Biological Functions Affecting the Survival Time of Liver Cancer

Computational analysis for identification of early diagnostic biomarkers and prognostic biomarkers of liver cancer based on GEO and TCGA databases and studies on pathways and biological functions affecting the survival time of liver cancer

Gastrointestinal System

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