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Diagnosis performance of the ColonTrack model on a large cohort (A) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with CRC ( n = 75) from HC ( n = 32) or from BD ( n = 39), and the confusion matrix for classifying CRC versus HC or CRC versus BD in the internal validation set. (B) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with CRC ( n = 142) from HC ( n = 66) or from BD ( n = 66), and the confusion matrix for classifying CRC versus HC or CRC versus BD in the external validation set. (C) The ColonTrack score of CRC, BD, and HC in the internal validation set. (D) As in (C), but in the external validation set. Significance was determined by two-sided Wilcoxon rank-sum test (∗ for p < 0.05, ∗∗ for p < 0.01, ∗∗∗ for p < 0.001). (E) The detection sensitivity of ColonTrack model, CEA and CA19-9 for different TNM stage of CRC patients in internal validation set and external validation set. (F) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with early-stage (TNM stage I) CRC ( n = 7) from patients with CRA ( n = 27), and the confusion matrix for classifying CRC versus CRA in the internal validation set. (G) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with early-stage (TNM stage I) CRC ( n = 29) from patients with CRA ( n = 46), and the confusion matrix for classifying CRC versus CRA in the external validation set. (H) By comparing pre- and post-surgery ELISA tests, it was found that the expression levels of CTTN, HNRNPK, and <t>PSMC6</t> in plasma EVs of patients with CRC ( n = 38) were significantly downregulated after surgery. The ColonTrack model demonstrated a negative result with postoperative patients. Significance was determined by two-sided Wilcoxon rank-sum test (∗ for p < 0.05, ∗∗ for p < 0.01, ∗∗∗ for p < 0.001). (I) Clinical indicators of postoperative patients ( n = 38).
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Diagnosis performance of the ColonTrack model on a large cohort (A) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with CRC ( n = 75) from HC ( n = 32) or from BD ( n = 39), and the confusion matrix for classifying CRC versus HC or CRC versus BD in the internal validation set. (B) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with CRC ( n = 142) from HC ( n = 66) or from BD ( n = 66), and the confusion matrix for classifying CRC versus HC or CRC versus BD in the external validation set. (C) The ColonTrack score of CRC, BD, and HC in the internal validation set. (D) As in (C), but in the external validation set. Significance was determined by two-sided Wilcoxon rank-sum test (∗ for p < 0.05, ∗∗ for p < 0.01, ∗∗∗ for p < 0.001). (E) The detection sensitivity of ColonTrack model, CEA and CA19-9 for different TNM stage of CRC patients in internal validation set and external validation set. (F) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with early-stage (TNM stage I) CRC ( n = 7) from patients with CRA ( n = 27), and the confusion matrix for classifying CRC versus CRA in the internal validation set. (G) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with early-stage (TNM stage I) CRC ( n = 29) from patients with CRA ( n = 46), and the confusion matrix for classifying CRC versus CRA in the external validation set. (H) By comparing pre- and post-surgery ELISA tests, it was found that the expression levels of CTTN, HNRNPK, and PSMC6 in plasma EVs of patients with CRC ( n = 38) were significantly downregulated after surgery. The ColonTrack model demonstrated a negative result with postoperative patients. Significance was determined by two-sided Wilcoxon rank-sum test (∗ for p < 0.05, ∗∗ for p < 0.01, ∗∗∗ for p < 0.001). (I) Clinical indicators of postoperative patients ( n = 38).

Journal: Cell Reports Medicine

Article Title: Integrative proteomic profiling of tumor and plasma extracellular vesicles identifies a diagnostic biomarker panel for colorectal cancer

doi: 10.1016/j.xcrm.2025.102090

Figure Lengend Snippet: Diagnosis performance of the ColonTrack model on a large cohort (A) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with CRC ( n = 75) from HC ( n = 32) or from BD ( n = 39), and the confusion matrix for classifying CRC versus HC or CRC versus BD in the internal validation set. (B) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with CRC ( n = 142) from HC ( n = 66) or from BD ( n = 66), and the confusion matrix for classifying CRC versus HC or CRC versus BD in the external validation set. (C) The ColonTrack score of CRC, BD, and HC in the internal validation set. (D) As in (C), but in the external validation set. Significance was determined by two-sided Wilcoxon rank-sum test (∗ for p < 0.05, ∗∗ for p < 0.01, ∗∗∗ for p < 0.001). (E) The detection sensitivity of ColonTrack model, CEA and CA19-9 for different TNM stage of CRC patients in internal validation set and external validation set. (F) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with early-stage (TNM stage I) CRC ( n = 7) from patients with CRA ( n = 27), and the confusion matrix for classifying CRC versus CRA in the internal validation set. (G) The ROC curves for the ColonTrack model, CEA, and CA19-9 in distinguishing patients with early-stage (TNM stage I) CRC ( n = 29) from patients with CRA ( n = 46), and the confusion matrix for classifying CRC versus CRA in the external validation set. (H) By comparing pre- and post-surgery ELISA tests, it was found that the expression levels of CTTN, HNRNPK, and PSMC6 in plasma EVs of patients with CRC ( n = 38) were significantly downregulated after surgery. The ColonTrack model demonstrated a negative result with postoperative patients. Significance was determined by two-sided Wilcoxon rank-sum test (∗ for p < 0.05, ∗∗ for p < 0.01, ∗∗∗ for p < 0.001). (I) Clinical indicators of postoperative patients ( n = 38).

Article Snippet: ELISA Kit for Human Proteasome 26S Subunit, ATPase 6 (PSMC6) , USCN Life Science , Cat# SEG276Hu.

Techniques: Biomarker Discovery, Enzyme-linked Immunosorbent Assay, Expressing, Clinical Proteomics

Benchmarking ColonTrack performance with an additional cohort (A) The heatmap showed expression levels of CTTN, HNRNPK, and PSMC6 and the diagnostic result of ColonTrack. The expression levels were standardized using Z score transformation. (B) The ROC curves for the ColonTrack model, CEA, and CA199 in distinguishing patients with CRC ( n = 126) from non-CRC ( n = 136), and the confusion matrix for classifying CRC versus non-CRC in the additional cohort. p value was calculated using Delong test. (C)The ROC curves for the ColonTrack model, CEA, and CA199 in distinguishing patients with CRC ( n = 53) from CRA ( n = 68), and the confusion matrix for classifying CRC versus CRA in the additional cohort. p value was calculated using Delong test. (D) CRC positivity rates for different indicators (top) and the detection rates of ColonTrack and mSeptin-9 across different stages of CRC in the additional cohort (bottom). (E) CRC positivity rates of ColonTrack and mSeptin-9 across different stages of CRC in the retrospective cohort.

Journal: Cell Reports Medicine

Article Title: Integrative proteomic profiling of tumor and plasma extracellular vesicles identifies a diagnostic biomarker panel for colorectal cancer

doi: 10.1016/j.xcrm.2025.102090

Figure Lengend Snippet: Benchmarking ColonTrack performance with an additional cohort (A) The heatmap showed expression levels of CTTN, HNRNPK, and PSMC6 and the diagnostic result of ColonTrack. The expression levels were standardized using Z score transformation. (B) The ROC curves for the ColonTrack model, CEA, and CA199 in distinguishing patients with CRC ( n = 126) from non-CRC ( n = 136), and the confusion matrix for classifying CRC versus non-CRC in the additional cohort. p value was calculated using Delong test. (C)The ROC curves for the ColonTrack model, CEA, and CA199 in distinguishing patients with CRC ( n = 53) from CRA ( n = 68), and the confusion matrix for classifying CRC versus CRA in the additional cohort. p value was calculated using Delong test. (D) CRC positivity rates for different indicators (top) and the detection rates of ColonTrack and mSeptin-9 across different stages of CRC in the additional cohort (bottom). (E) CRC positivity rates of ColonTrack and mSeptin-9 across different stages of CRC in the retrospective cohort.

Article Snippet: ELISA Kit for Human Proteasome 26S Subunit, ATPase 6 (PSMC6) , USCN Life Science , Cat# SEG276Hu.

Techniques: Expressing, Diagnostic Assay, Transformation Assay

Cellular localization of differential proteins common to CVD and AD aggregates in human hippocampi and mouse models of AD or CVD, based on KEGG pathway analysis. Cellular localizations of 76 differential proteins implicate chiefly cytoplasm and mitochondria, followed by cytoskeleton, microtubule, synapse, proteasome, and sarcoplasmic reticulum

Journal: Basic Research in Cardiology

Article Title: Altered protein homeostasis in cardiovascular diseases contributes to Alzheimer’s-like neuropathology

doi: 10.1007/s00395-025-01109-w

Figure Lengend Snippet: Cellular localization of differential proteins common to CVD and AD aggregates in human hippocampi and mouse models of AD or CVD, based on KEGG pathway analysis. Cellular localizations of 76 differential proteins implicate chiefly cytoplasm and mitochondria, followed by cytoskeleton, microtubule, synapse, proteasome, and sarcoplasmic reticulum

Article Snippet: Proteostasis , PRS10, PRS8, PSMD2 , 26S proteasome.

Techniques: