share my research.pdf
Creators: name: Akhtar, Samim
Publisher: name: figshare
Year: 2021
Subjects: subject: 111204 Cancer Therapy (excl. Chemotherapy and Radiation Therapy)
subject: FOS: Clinical medicine
subject: 111203 Cancer Genetics
subject: 111202 Cancer Diagnosis
subject: 111201 Cancer Cell Biology
subject: Biomarkers
subject: 110307 Gastroenterology and Hepatology
subject: Health Care
subject: 110199 Medical Biochemistry and Metabolomics not elsewhere classified
subject: 110106 Medical Biochemistry: Proteins and Peptides (incl. Medical Proteomics)
subject: 110107 Metabolic Medicine
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 111209 Solid Tumours
subject: 110709 Tumour Immunology

description: <b>Abstract:</b><b>Objectives:</b> This research is aimed to evaluate plasma free amino acid in gastriccancer patients without metastasis (early gastric cancer post gastrectomy) and withmetastasis (advanced gastric cancer). Amino acids level of postoperative gastriccancer (M0) patients are compared with metastatic gastric cancer (M1) patients insearch of biomarker which can predict the metastasis of gastric cancer. We havemade clinical correlation of patients’ vital signs, respiratory rate, pulse rate, bloodpressure, body temperature, disease stages, chief complaints, complications andsurvival curve within light of metastatic and non metastatic domain.<b>Background:</b> Majority of cancer patients are diagnosed after seeding of metastaticcells to adjacent organs and distant sites. At this point, treatment is palliative andsupportive. The cellular propagation of cancer cells and tumor micro-environmentplays vital role in genesis of gastric cancer. Genetic alteration leading to faultynucleotides to amino acids, then to protein, and finally formation of tumor is thenatural sequence of pathogenesis of gastric cancer. Prediction of metastasis by useof plasma free amino acid profile may be of great significance because it will help totailor the patient specific cancer treatment.Plasma Amino acids are ideal for being developed as tool for prediction of metastasisas they are affordable, less expensive and convenient.<b>Method:</b> This study includes total 54 patients, among which 27 had metastasisof Gastric cancer and rest 27 had undergone gastric surgery at early stage with norecurrence at the time of the study. Twenty-three amino acids were studied. Student’st test was performed to find out statistically significant values of amino acids.The p value of ≤ 0.05 was considered statistically significant. Amino acids withsignificant p values were investigated with multivariate logistic regression. PartialLeast Squares Discriminant Analysis (PLS DA) was done using Microsoft SPSS 23version software®. Variable Importance of Projection (VIP) was estimated, values ≥1 was considered statistically significant.<b>Result:</b> Performance Score (PS) (p= 0.004) and Body Mass Index (BMI) (p= 0.035)were statistically significant between M0 and M1 groups. Staging (I, II vs. III, IV)(p&lt; 0.001) was significant. Seven amino acids, Asp, Cys, Hcy, His, Leu, Orn andSer were significant between M0 and M1 in first month evaluation. Eight aminoacids, Cys, Hcy, His, Leu, Met, Thr, Trp and Tyr were significant between M0 andM1 in sixth month evaluation. PLS DA regression analysis, VIP test showed Cys,Ser, Hcy, Thr, His, Met, Tyr, Trp to be more important amino acids of significance.Kaplan Meier Overall Survival (OS) = 34.979 months. Mean survival time in M0was 43.53± 1.741 months. Mean survival in M1 was 26.29± 2.635 months.<b>Conclusion:</b> We found BMI and PS as most important variables in defining anddetermining the disease status of gastric cancer patients. Nutrition and physicalactivity is very much characteristic of disease outcome from a physician’s perspective.This study propounds amino acids can be valuable biomarkers of predictive andprognostic importance in metastasis in gastric cancer patients.<br>