Serum targeted metabolomics uncovering specific amino acid signature for diagnosis of intrahepatic cholangiocarcinoma.

Intrahepatic cholangiocarcinoma (iCCA) is a hepatobiliary malignancy which accounts for approximately 5-10 % of primary liver cancers and has a high mortality rate. The diagnosis of iCCA remains significant challenges owing to the lack of specific and sensitive diagnostic tests available. Hence, improved methods are needed to detect iCCA with high accuracy. In this study, we evaluated the efficacy of serum amino acid profiling combined with machine learning modeling for the diagnosis of iCCA. A comprehensive analysis of 28 circulating amino acids was conducted in a total of 140 blood samples from patients with iCCA and normal individuals. We screened out 6 differentially expressed amino acids with the criteria of |Log2(Fold Change, FC)| > 0.585, P-value < 0.05, variable importance in projection (VIP) > 1.0 and area under the curve (AUC) > 0.8, in which amino acids L-Asparagine and Kynurenine showed an increasing tendency as the disease progressed. Five frequently used machine learning algorithms (Logistic Regression, Random Forest, Supporting Vector Machine, Neural Network and Naïve Bayes) for diagnosis of iCCA based on the 6 circulating amino acids were established and validated with high sensitivity and good overall accuracy. The resulting models were further improved by introducing a clinical indicator, gamma-glutamyl transferase (GGT). This study introduces a new approach for identifying potential serum biomarkers for the diagnosis of iCCA with high accuracy.

Circulating Immune Cells Predict Prognosis and Clinical Response to Chemotherapy in Cholangiocarcinoma.

BACKGROUND: The immune system is linked to the prognosis and response to treatment of patients with cancer. However, the clinical implication of peripheral blood immune cells in cholangiocarcinoma (CCA) remains vague. Thus, we aimed to assess whether peripheral circulating immune cells could be used as an indicator for prognosis and chemotherapeutic efficacy in CCA. METHODS: The distributions of immune subsets were analyzed in peripheral blood samples from 141 patients with CCA and 131 healthy volunteers by using flow cytometry. The variation in the subset distribution in the two groups and the relationship between clinicopathological features and the subpopulations were investigated. Meanwhile, we assessed the implications of lymphocyte subsets as predictors of chemotherapy outcomes and overall survival (OS). RESULTS: The proportion of total lymphocytes decreased, while the percentages of activated T cells as well as CD4+CD25+ regulatory T cells (Tregs) increased in CCA. Notably, lymphocyte proportion decreased in patients with regional lymph node (N) (p=0.016) and distant metastasis (M) (p= 0.001). Furthermore, our study showed that peripheral blood lymphocyte subsets were significantly correlated with chemotherapy efficacy, with increased proportions of CD3+ cells (p=0.021) and CD4+ cells (p=0.016) in the effective group. Finally, the Kaplan-Meier analysis indicated that patients with high natural killer (NK) cell proportion might have prolonged OS (p = 0.028). CONCLUSION: The relationship between circulating immune cells with prognosis and chemotherapy response in patients with CCA highlights their potential application as an indicator of CCA prognosis and stratification of chemotherapy response.

Novel PBMC LncRNA signatures as diagnostic biomarkers for colorectal cancer.

The expression of long non-coding RNAs (LncRNAs) in peripheral blood mononuclear cell (PBMC) and its clinical relevance in colorectal cancer (CRC) remains largely uncharacterized. To address these gaps, we investigated the expression profiles of lncRNAs in PBMC from CRC and healthy controls (HC) by RNA sequencing. The expression level of differentially expressed lncRNAs (DElncRNAs) were evaluated by quantitative PCR in PBMC samples from CRC patients and HC. A total of 447 DElncRNAs were identified, with 178 elevated lncRNAs and 269 decreased lncRNAs in PBMC from CRC patients as compared with that from HC. RT-PCR results supported a significant elevation of NEAT1:11, lnc-PDZD8-1:5 and LINC00910:16 in 98 CRC patients and 82 HC. The clinical implication of NEAT1:11, lnc-PDZD8-1:5 and LINC00910:16 as CRC diagnostic biomarker were determined by receiver operating characteristic (ROC) curve, showing sensitivity 74.5% and specificity 84.5% for joint detection the three lncRNAs. Notably, NEAT1:11 was closely related with the size and extent of primary tumor, with higher relative expression of NEAT1:11 in higher T stage (P = 0.0047). Moreover, NEAT1:11 was related with grade (P = 0.012). Collectively, PBMC from patients with CRC show significantly variable expression profiles of lncRNAs, and detection of these differential expression lncRNAs may provide useful information for basic and clinical research.

Clinicopathological and prognostic significance of circulating immune cells in the patients with pancreatic cancer.

Pancreatic cancer is characterized by immune tolerance and immunotherapeutic resistance. Circulating cells may reflect the general immune status of the patient. However, the circulating immune status of pancreatic cancer are largely uncharacterized. Here, the subset distribution was analyzed in peripheral blood samples from 101 patients with pancreatic cancer and 142 healthy volunteers by using flow cytometry. The differences of the subpopulation distribution in the two groups and the relation between clinical parameters with the subset were determined. Moreover, the clinical application of each subset as prognosis biomarker was also assessed by Kaplan-Meier analysis. The reduced proportion of total lymphocyte and upregulated CD4/CD8 ratio were observed in pancreatic cancer than those in healthy controls. Of note, increased proportions of lymphocyte and NKT cells were noticed more frequently in patients over 60 years (P = 0.043) and patients with metastasis (P = 0.027), respectively. However, our correlation analyses revealed no correlation between the proportions of T cells, B cell and NK cells with clinicopathologic features. Furthermore, the analysis displayed that proportions of CD4+T cell, B cell and CD4/CD8 ratio significantly reduced in the cohort of post-operation, while the frequency of CD8+T cell and NKT cells elevated remarkably. Finally, the Kaplan-Meier analysis indicated that patients with high lymphocyte proportion might have prolonged overall survival (P = 0.007). The altered distribution of peripheral blood immune cell subpopulation in pancreatic cancer and its relationship with clinical outcome highlight the potential use of circulating immune subsets as prognostic biomarkers in pancreatic cancer.