scholarly journals Study of the Relationship Between Serum Amino Acid Metabolism and Lymph Node Metastasis in Patients with Colorectal Cancer

2020 ◽  
Vol Volume 13 ◽  
pp. 10287-10296
Author(s):  
Jinhao Liu ◽  
Jikun Wang ◽  
Xueqian Ma ◽  
Yang Feng ◽  
Yanlei Chen ◽  
...  
Open Medicine ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. 184-188 ◽  
Author(s):  
Pan Xiang-tao

AbstractObjectiveTo investigate the expression of Hepcidin and Neogenin in tissue from patients with colorectal cancer, to evaluate the relationship between Hepcidin and Neogenin with clinical features, and to study their relationship with anemia.MethodsImmuno- histochemical method was used to detect the expression of Hepcidin and Neogenin in 62 cases of colorectal cancer. At the same time, the relationship between them and their relationship with clinical characteristics and anemia were analyzed.ResultsThe expression of Hepcidin was related to T stage (P<0.05), but not with age, gender, lymph node metastasis and distant metastasis. The expression of Neogenin was not correlated with T stage and lymph node metastasis, age, gender, and distant metastasis (P>0.05). There was no significant difference in the expression of Hepcidin and Neogenin between anemia group and non-anemia group. There was no correlation between Hepcidin and Neogenin (r =-0.04, P>0.05).ConclusionThe expression of Hepcidin in colorectal cancer was related to the T stage, and had no correlation with Neogenin. The expression of Neogenin could not be used as an objective index to reflect the biological behavior of colorectal cancer.


2021 ◽  
Author(s):  
Jia-Ying Wen ◽  
Ye-Ying Fang ◽  
Gang Chen ◽  
Rong-Quan He ◽  
He-Qing Huang ◽  
...  

Abstract BackgroundPrevious studies have shown that transmembrane protease serine 3 (TMPRSS3) is abnormally expressed in various tumours and its expression is closely related to tumorigenesis and progression [1-3]. However, there have been no reports regarding the role of TMPRSS3 in colorectal cancer (CRC). The aim of the current study was to comprehensively explore the clinical value of TMPRSS3 on the radioresistance of CRC.MethodsIn this study, we evaluated the expression level of TMPRSS3 in radioresistant CRC tissues as well as CRC tissues by analysing public data sets from the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), ArrayExpress, and GTEx databases, as well as explored the relationship between TMPRSS3 and lymph node metastasis, distant metastasis, and prognosis. In addition, we investigated the biological function of TMPRSS3 by gene ontology (GO) and analysis of the Kyoto Encyclopaedia of Genes and Genomes (KEGG). Finally, we created a protein-protein interaction (PPI) network to identify hub genes that may function in concert with TMMPRSS3.ResultsEight radiation-processed CRC tissue data sets and 26 CRC mRNA data sets were obtained. The pooled analysis revealed that TMPRSS3 was significantly highly expressed in CRC radioresistant tissues—SMD = 0.38 (95% CI: 0.14~0.63; p-value < 0.05). In addition, TMPRSS3 is also as highly expressed in CRC tissues—SMD = 1.55 (95% CI: 1.20~1.90; p-value < 0.05). Subsequently, we explored the relationship between TMPRSS3 and both metastasis and prognosis. The results revealed no relationship between TMPRSS3 and lymph node metastasis and distant metastasis (p-value > 0.05). Furthermore, pooled analysis of HR revealed that TMPRSS3 could be used as a risk factor for DFS—SMD = 1.28 (95% CI: 1.03~1.60; p-value < 0.05). Finally, we obtained 429 co-expressed genes for bioinformatics analysis and selected a total of four hub genes: MSLN, MFI2, CKAP4, and PXN. The results revealed that these genes cooperate with TMPRSS3 to participate in biological processes, such as CRC development, metastasis, and radioresistance by affecting autophagy, cell-cell adhesion, and extracellular matrix breakdown.ConclusionThis study reveals that TMPRSS3 has potential as a new biomarker and radioresistant therapeutic target for CRC and also has a few implications for the prognosis of CRC patients. However, this conclusion must be further experimentally verified.


Surgery ◽  
2002 ◽  
Vol 131 (1) ◽  
pp. S114-S120 ◽  
Author(s):  
Daisuke Korenaga ◽  
Fumio Takesue ◽  
Mitsuhiro Yasuda ◽  
Masayuki Honda ◽  
Tadahiro Nozoe ◽  
...  

2021 ◽  
Author(s):  
Tamotsu Sugai ◽  
Noriyuki Yamada ◽  
Mitsumasa Osakabe ◽  
Mai Hashimoto ◽  
Noriyuki Uesugi ◽  
...  

2021 ◽  
Vol 11 (2) ◽  
pp. 126
Author(s):  
Noshad Peyravian ◽  
Stefania Nobili ◽  
Zahra Pezeshkian ◽  
Meysam Olfatifar ◽  
Afshin Moradi ◽  
...  

This study aimed at building a prognostic signature based on a candidate gene panel whose expression may be associated with lymph node metastasis (LNM), thus potentially able to predict colorectal cancer (CRC) progression and patient survival. The mRNA expression levels of 20 candidate genes were evaluated by RT-qPCR in cancer and normal mucosa formalin-fixed paraffin-embedded (FFPE) tissues of CRC patients. Receiver operating characteristic curves were used to evaluate the prognosis performance of our model by calculating the area under the curve (AUC) values corresponding to stage and metastasis. A total of 100 FFPE primary tumor tissues from stage I–IV CRC patients were collected and analyzed. Among the 20 candidate genes we studied, only the expression levels of VANGL1 significantly varied between patients with and without LNMs (p = 0.02). Additionally, the AUC value of the 20-gene panel was found to have the highest predictive performance (i.e., AUC = 79.84%) for LNMs compared with that of two subpanels including 5 and 10 genes. According to our results, VANGL1 gene expression levels are able to estimate LNMs in different stages of CRC. After a proper validation in a wider case series, the evaluation of VANGL1 gene expression and that of the 20-gene panel signature could help in the future in the prediction of CRC progression.


Pathology ◽  
2015 ◽  
Vol 47 ◽  
pp. S105
Author(s):  
Nav Gill ◽  
Christopher W. Toon ◽  
Nicole Watson ◽  
Anthony J. Gill

2006 ◽  
Vol 63 (5) ◽  
pp. AB216 ◽  
Author(s):  
Hitoshi Yamauchi ◽  
Kazutomo Togashi ◽  
Hiroshi Kawamura ◽  
Junichi Sasaki ◽  
Masaki Okada ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Naohisa Yoshida ◽  
Masayoshi Nakanishi ◽  
Ken Inoue ◽  
Ritsu Yasuda ◽  
Ryohei Hirose ◽  
...  

Background and Aims. Various risk factors for lymph node metastasis (LNM) have been reported in colorectal T1 cancers. However, the factors available are insufficient for predicting LNM. We therefore investigated the utility of the new histological factor “pure well-differentiated adenocarcinoma” (PWDA) as a safe factor for predicting LNM in T1 and T2 cancers. Materials and Methods. We reviewed 115 T2 cancers and 202 T1 cancers in patients who underwent surgical resection in our center. We investigated the rates of LNM among various clinicopathological factors, including PWDA. PWDA was defined as a lesion comprising only well-differentiated adenocarcinoma. The consistency of the diagnosis of PWDA was evaluated among two pathologists. In addition, 72 T1 cancers with LNM from 8 related hospitals over 10 years (2008–2017) were also analyzed. Results. The rates of LNM and PWDA were 23.5% and 20.0%, respectively, in T2 cancers. Significant differences were noted between patients with and without LNM regarding lymphatic invasion (81.5% vs. 36.4%, p<0.001), poor histology (51.9% vs. 19.3%, p=0.008), and PWDA (3.7% vs. 25.0%, p=0.015). The rates of LNM and PWDA were 8.4% and 36.1%, respectively, in T1 cancers. Regarding the 73 PWDA cases and 129 non-PWDA cases, the rates of LNM were 0.0% and 13.2%, respectively (p<0.001). Among the 97 cases with lymphatic or venous invasion, the rates of LNM in 29 PWDA cases and 68 non-PWDA were 0% and 14.7%, respectively (p=0.029). The agreement of the two pathologists for the diagnosis of PWDA was acceptable (kappa value > 0.5). A multicenter review showed no cases of PWDA among 72 T1 cancers with LNM. Conclusions. PWDA is considered to be a safe factor for LNM in T1 cancer.


2017 ◽  
Vol 13 (6) ◽  
pp. 4327-4333 ◽  
Author(s):  
Tomonari Cho ◽  
Eisuke Shiozawa ◽  
Fumihiko Urushibara ◽  
Nana Arai ◽  
Toshitaka Funaki ◽  
...  

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