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Characteristic of Patients and Gene Expression Profiles in Cancer-Related Cachexia

This study presents a detailed analysis of patient characteristics and gene expression profiles in cancer-related cachexia. It includes information on age, sex, cancer type, disease stage, cachexia status, weight loss, BMI, and sarcopenia levels. The study also identifies master upstream regulators, signaling pathways, and associated genes involved in the transition from no cachexia to pre-cachexia and cachexia.

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Characteristic of Patients and Gene Expression Profiles in Cancer-Related Cachexia

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  1. Supplementary Table 1: Characteristic of the patients involved in the study. Number and percentage of patients grouped based on age, sex, cancer type, stage of the disease and their cachexia status, which take into consideration: weight loss in the passed 6 months, body mass index (BMI) and sarcopenia levels. Based on the CRP levels, patients were grouped into pre-cachexia and no cachexia.

  2. Supplementary Table 2: Master upstream regulator based on the gene expression profile in pre-cachexia versus no cachexia. Data analyzed with Ingenuity software IPA. Supplementary Table 3 Ingenuity predicted upstream regulators, their target genes in the dataset and mechanistic networks implicated. Data analyzed with Ingenuity software IPA.

  3. Supplementary Table 4: Significantly affected signaling pathways and their associated genes affected in the transition from no cachexia to pre-cachexia.

  4. Supplementary Table 5: Master upstream regulator based on the gene expression profile in cachexia versus no cachexia. Data analyzed with Ingenuity software IPA. Supplementary Table 6: Ingenuity predicted upstream regulators, their target genes in the dataset and mechanistic networks implicated in cachexia versus no cachexia. Data analyzed with Ingenuity software IPA.

  5. Supplementary Table 7: Significantly affected signaling pathways and their associated genes in the transition from no cachexia to cachexia.

  6. Supplementary Table 8: Pre-cachexia dataset: Highlighted are the genes commonly upregulated in the three cancer types (Pancreatic, Lung and breast cancer)

  7. Supplementary Table 9: Cachexia dataset: Highlighted are the genes commonly upregulated in the three cancer types (Pancreatic, Lung and breast cancer)

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