Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. We aimed to find novel molecules as potential biomarkers for the early diagnosis of CRC. A serum-free conditioned medium was successfully collected from three pairs of CRC tissue and adjacent normal tissue. iTRAQ-based quantitative proteomic analysis was applied to compare the differences in secretome between primary CRC mucosa and adjacent normal mucosa. A total of 145 kinds of proteins were identified. Of these proteins, 29 were significantly different between CRC and normal tissue. Tropomyosin 2 β (TPM2) exhibited the most significant differences; as such, this protein was selected for further validation. Quantitative real-time PCR indicated that the mRNA expression of TPM2 significantly decreased in the CRC tissue compared with the paired adjacent normal tissue. Immunohistochemical analysis also confirmed that TPM2 was barely detected at protein levels in the CRC tissue. In summary, this study revealed potential molecules for future biomarker applications and provided an efficient approach for the differential analysis of cancer-associated secretome. TPM2 may be valuable for the early diagnosis of CRC.

We designed the present work to explore the connection between sarcopenia and interleukin-16 (IL-16) expression and their integrated relation with gastric cancer (GC) survival. We deemed the sex-specific third lumbar vertebra skeletal muscle index cutoffs for sarcopenia to be ≤40.8 and ≤34.9 cm2/m2 in male and female patients, respectively. Immunohistochemistry was carried out to detect IL-16 levels among GC tissues of the patients. We determined overall survival (OS) and relapse-free survival (RFS) by univariate and multivariate analyses. This study included 225 GC cases, with an average age of 62.7 years. There were 41 (18.2%) female patients, and 107 (47.5%) patients had sarcopenia. Sarcopenia and high IL-16 expression were identified as independent factors to predict OS (hazard ratios [HR] = 1.64 and 1.79, 95% confidence interval [CI] = 1.25–2.23 and 1.16–2.78, respectively) and RFS (HR = 1.43 and 1.60, 95% CI = 1.15–2.95 and 1.10–2.37, respectively). There were more cases showing high IL-16 expression detected in the sarcopenia group (55.7% vs. 37.3%, p = 0.003). Later, we grouped the patients with sarcopenia and IL-16 expression and discovered that the patients with sarcopenia and IL-16 upregulation displayed the poorest OS (HR = 3.02; 95% CI = 1.64–5.91) and RFS (HR = 2.34; 95% CI = 1.47–4.69). In conclusion, more IL-16 upregulation was noted in GC patients with sarcopenia. Sarcopenia accompanied by high IL-16 expression remarkably indicates a dismal prognosis in GC patients. This suggests that these biomarkers may be able to identify patients with GC with poor prognosis and enhance prognostication.

BackgroundThis study focused on assessing the role of the Peking prognostic score (PPS), a novel prognostic index based on muscle atrophy and lymphocyte-to-C-reactive protein ratio, within gastric cancer patient prognosis.MethodsWe analyzed the data collected from 774 gastric cancer cases between April 2011 and February 2016 (discovery cohort). The results were assessed in 575 gastric cancer cases from March 2016 to September 2019 (validation cohort). For evaluating skeletal muscle mass, we obtained computed tomography images at the third lumbar vertebra level (L3). We performed a time-dependent receiver operating characteristic curve (t-ROC) to analyze PPS’s prognostic significance with others.ResultsThe discovery cohort enrolled altogether 774 patients with non-metastatic gastric cancer, including 639 (82.5%) men along with 135 (17.5%) women. The patients were divided into 3 groups; 166 patients (21.4%) were assigned into group 0, 472 (60.9%) in group 1, and 136 (17.7%) in group 2, respectively. An increased PPS was in direct proportion to an elder age, reduced body mass index, higher Pathological Tumor Lymph Node Metastasis stage, perineural invasion, and vascular invasion. We identified PPS to independently estimate patient overall survival (OS) together with disease-free survival (DFS; both P < 0.001). Additionally, as revealed by t-ROC analysis, PPS exhibited the highest sensitivity compared with other prognostic scoring systems in predicting patient survival. Finally, we evaluated the prognostic value of PPS in the validation cohort and confirmed that preoperative PPS independently estimates patient OS and DFS.ConclusionThe PPS accounts for an efficient nutrition-inflammation prognostic scoring system in gastric cancer patients.

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