Troponin I2 as a Specific Biomarker for Prediction of Peritoneal Metastasis in Gastric Cancer

Sawaki, Koichi; Kanda, Mitsuro; Miwa, Takashi; Umeda, Shinichi; Tanaka, Haruyoshi; Tanaka, Chie; Kobayashi, Daisuke; Suenaga, Masaya; Hattori, Norifumi; Hayashi, Masamichi; Yamada, Suguru; Nakayama, Goro; Fujiwara, Michitaka; Kodera, Yasuhiro

doi:10.1245/s10434-018-6480-z

Cited by 33 publications

(21 citation statements)

References 29 publications

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“…We found that the high expression level of TNNI2 was associated with good prognosis, while the high expression level of TTN, ACTN3, TNNC2 and MYL3 indicated poor prognosis. In addition to TTN and MYL3, previous studies have shown that the expression levels of TNNI2, ACTN3 and TNNC2 were closely related to the development, occurrence, invasion, metastasis and prognosis of tumors [79][80][81], which supports our analytical ndings. We analyzed the diagnostic and prognostic value of the Hub genes in OS for the rst time, and thus this study may serve as a reference for future studies on OS diagnosis and prognostic biomarkers.…”

Section: Discussionsupporting

confidence: 91%

Analysis of Immune Infiltration Pattern in Osteosarcoma and Its Clinical Significance

Yuan¹,

Deng²,

Ren³

et al. 2020

Preprint

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ObjectiveOsteosarcoma (OS), the most common malignant bone tumor, is prone to early metastasis and recurrence, resulting in poor prognosis. The purpose of this study was to investigate gene expression in OS samples, and to study the relationship between tumor infiltrating immune cells (TIICS) in the tumor microenvironment and the occurrence, development, and prognosis of OS. MethodsIntegrated analysis was performed on the gene expression profile of OS samples in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database, and normal muscle tissue samples in the Genotype-Tissue Expression (GTEx) database. Screening of differentially expressed genes in OS samples and healthy muscle tissue samples was performed using R software. Functional annotation and pathway enrichment analyses were performed, a protein-protein interaction network was constructed, and the Hub genes were screened. The infiltration differences of 22 TIICs in OS samples and normal muscle tissue samples were analyzed using CIBERSORT. ROC curve, and OS survival analyses were performed on the Hub genes and 22 TIICs. The correlation between Hub genes with prognostic value and the 22 TIICs was discussed. ResultsTen Hub genes were screened. OS and normal muscle tissue samples were compared. Significant differences were observed in the infiltration of follicular helper T cells, resting NK cells, plasma cells, activated CD4 memory T cells, gamma delta T cells, monocytes, M0 macrophages and resting dendritic cells (P<0.05). ROC curve analysis showed that the area under the curve (AUC) for the 10 hub genes was 0.9 ~ 1.0, and for naive B cells (AUC=0.942), plasma cells (AUC=0.999), follicular T helper cells (AUC=0.814), resting NK cells (AUC=0.864), monocytes (AUC=0.987), and M0 macrophages (AUC=0.995). Kaplan-Meier curves revealed positive correlation between the expression levels of TNNI2, TTN, ACTN3, TNNC2, MYL3, and survival of OS patients. Correlation analysis revealed close association between ACTN3, TNNI2, TNNC2, MYL3, TTN, and the infiltration of M0 macrophages and plasma cells. ConclusionOur findings provide a theoretical basis for further study of the molecular mechanisms underlying OS development and occurrence. It serves as a reference for the development of new diagnostics, identification of prognostic biomarkers, and targeted drug therapy for OS.

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Section: Discussionsupporting

confidence: 91%

Analysis of Immune Infiltration Pattern in Osteosarcoma and Its Clinical Significance

Yuan¹,

Deng²,

Ren³

et al. 2020

Preprint

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“…The patterns of MAGEA6 expression were graded depending on the percentage of stained cells as follows: 0-10%: No staining; 10-40%: weak staining; or 40-100%: strong staining (19). To avoid subjectivity, the specimens were randomized and coded before analysis by two independent observers uninformed as to the status of the samples (20). Each observer evaluated all specimens at least twice to minimize variations (21).…”

Section: Immunohistochemistry (Ihc)mentioning

confidence: 99%

Tissue Expression of Melanoma-associated Antigen A6 and Clinical Characteristics of Gastric Cancer

et al. 2019

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Background: Gastric cancer (GC) exhibits heterogeneous clinical and molecular features, requiring the development of new biomarkers to further understand this disease. Our transcriptomic analysis detected overexpression of melanoma-associated antigen A6 (MAGEA6) in metastatic GC, leading us to determine the clinical significance of MAGEA6 in GC. Materials and Methods: Fourteen GC cell lines and 230 pairs of surgically resected gastric tissues were subjected to mRNA expression analysis. Polymerase chain reaction array analysis was performed to identify coordinately expressed cancer-related genes, and immunohistochemistry (IHC) was used to detected MAGEA6 expression in situ. Results: MAGEA6 mRNA levels were positively correlated with the expression of matrix metallopeptidase 9 mRNA. MAGEA6 mRNA levels were higher in GC tissues compared with those in normal adjacent tissues. Patients with high MAGEA6 expression had significantly worse prognosis. MAGEA6 protein levels in primary lesions predicted the likelihood of recurrence. Conclusion: Overexpression of MAGEA6 in GC tissues represents a promising biomarker for assessing the malignant phenotype of GC. Gastric cancer (GC) is the third leading cause of cancerrelated death worldwide (1). GC is difficult to treat because 5903 This article is freely accessible online.

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“…In recent years, researches had undertaken efforts to develop several biomarkers in identifying GC patients with peritoneal metastasis ( 29 – 31 ). However, most of them mainly focus on the clinicopathological parameters and ignore the components of genetic characteristics, which also play a critical role in peritoneal metastasis ( 32 ).…”

Section: Discussionmentioning

confidence: 99%

High Level of Legumain Was Correlated With Worse Prognosis and Peritoneal Metastasis in Gastric Cancer Patients

et al. 2020

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Background: Accumulating evidence has demonstrated that legumain (LGMN) is abnormally expressed in several malignancies and functions as an oncogene. However, the association between LGMN and gastric cancer (GC) has not yet been fully elucidated. In this study, we performed a comprehensive analysis of the role of LGMN in clinicopathologic characteristics and survival of GC patients. Methods: The study had two patient cohorts, The Cancer Genome Atlas (TCGA) cohort and the Zhongshan Hospital cohort, both of which were used to analyze the role of LGMN in GC samples. The relationship between LGMN and clinicopathologic characteristics was determined by the Chi-square test and logistic regression analysis. The Kaplan-Meier method and Cox proportional hazards regression analysis were conducted to investigate the prognostic role of LGMN in GC patients. Moreover, a nomogram was constructed based on the factors that were independently associated with peritoneal metastasis. Finally, the gene set enrichment analysis (GSEA) was conducted to explore the underlying pathways through which LGMN was involved in GC progression. Results: The mRNA and protein levels of LGMN were significantly upregulated in GC tissues, especially for diffuse-type GC. High level of LGMN was independently associated with poor prognosis in both TCGA and Zhongshan cohorts. Further analysis showed that increased protein level of LGMN was related to peritoneal metastasis in GC patients. In a nomogram model, the LGMN expression could help predict the possibility of peritoneal metastasis in GC patients. LGMN was a strong determinant for prediction of peritoneal metastasis. GC patients with high LGMN expression tended to have worse survival together with more frequent diffuse-type tumors and increased risk of peritoneal metastasis. The GSEA results showed that focal adhesion, ecm receptor interaction, cell adhesion molecules cams, TGF-β signaling pathway, JAK-STAT signaling pathway, gap junction, etc. were differentially enriched in the phenotype with high LGMN expression. Wang et al. Legumain for Peritoneal Metastasis in GC Conclusion: LGMN was an independent prognostic factor for OS in GC patients. Increased expression of LGMN was significantly associated with peritoneal metastasis. The nomogram based on LGMN might guide the clinical decisions for patients with GC.

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Troponin I2 as a Specific Biomarker for Prediction of Peritoneal Metastasis in Gastric Cancer

Abstract: TNNI2 expression in gastric tissues may serve as a specific biomarker for prediction of peritoneal metastasis of gastric cancer and contribute to improvement of patient management.

Cited by 33 publications

References 29 publications

Analysis of Immune Infiltration Pattern in Osteosarcoma and Its Clinical Significance

Analysis of Immune Infiltration Pattern in Osteosarcoma and Its Clinical Significance

Tissue Expression of Melanoma-associated Antigen A6 and Clinical Characteristics of Gastric Cancer

High Level of Legumain Was Correlated With Worse Prognosis and Peritoneal Metastasis in Gastric Cancer Patients

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