Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram

Chen, Dexin; Liu, Zhangyuanzhu; Liu, Wenju; Fu, Meiting; Jiang, Wei; Xu, Shuoyu; Wang, Guangxing; Chen, Feng; Lu, Jianping; Chen, Hao; Dong, Xiaoyu; Li, Guoxin; Chen, Gang; Zhuo, Shuangmu; Yan, Jun

doi:10.1038/s41467-020-20429-0

Cited by 107 publications

(91 citation statements)

References 60 publications

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“…The PDAC ECM contains combinations of type I, III, IV, V, and XV collagens (32,34,35). The interaction between collagen and the basement membrane proteins within the ECM plays an important role during malignant transformation (36,37). Increased desmoplasia is thought to contribute to disruption of the basement membrane leading to increased exposure of PDAC cells to interstitial collagens and reduction of basement membrane collagens (33).…”

Section: Collagensmentioning

confidence: 99%

The PDAC Extracellular Matrix: A Review of the ECM Protein Composition, Tumor Cell Interaction, and Therapeutic Strategies

2021

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Pancreatic ductal adenocarcinoma (PDAC) is notorious for a dense fibrotic stroma that is interlaced with a collagen-based extracellular matrix (ECM) that plays an important role in tumor biology. Traditionally thought to only provide a physical barrier from host responses and systemic chemotherapy, new studies have demonstrated that the ECM maintains biomechanical and biochemical properties of the tumor microenvironment (TME) and restrains tumor growth. Recent studies have shown that the ECM augments tumor stiffness, interstitial fluid pressure, cell-to-cell junctions, and microvascularity using a mix of biomechanical and biochemical signals to influence tumor fate for better or worse. In addition, PDAC tumors have been shown to use ECM-derived peptide fragments as a nutrient source in nutrient-poor conditions. While collagens are the most abundant proteins found in the ECM, several studies have identified growth factors, integrins, glycoproteins, and proteoglycans in the ECM. This review focuses on the dichotomous nature of the PDAC ECM, the types of collagens and other proteins found in the ECM, and therapeutic strategies targeting the PDAC ECM.

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Section: Collagensmentioning

confidence: 99%

The PDAC Extracellular Matrix: A Review of the ECM Protein Composition, Tumor Cell Interaction, and Therapeutic Strategies

2021

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“…It is well known that GC is a highly malignant cancer type ( 7 ). At present, several biomarkers for GC have been proposed for diagnosis and prognosis, such as CEA and circulating tumor cells ( 50 , 51 ).…”

Section: Discussionmentioning

confidence: 99%

“…GC is known to be a highly malignant tumor of the digestive system (1)(2)(3). In recent years, the incidence of GC has steadily declined (4), but there are no specific symptoms in early GC, it is often found to metastasized in distant organs, hsa_circ_0060975 is highly expressed and predicts a poor prognosis in gastric cancer such as liver, lymph node metastasis, peritoneal metastasis and lung (1,(5)(6)(7)(8). Some therapies, such as surgery, radiotherapy and chemotherapy are used to treat GC, but the tumor-free 5-year survival rate of GC is only 20-30% (9).…”

Section: Introductionmentioning

confidence: 99%

hsa_circ_0060975 is highly expressed and predicts a poor prognosis in gastric cancer

Zhang

et al. 2021

Oncol Lett

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Gastric cancer (GC) is the fifth most common cancer and GC has a high mortality rate worldwide. Circular (circ) RNAs serve an important role in cancer. The present study aimed to investigate the expression level of hsa_circ_0060975 in gastric cancer (GC) and to determine the clinical pathological significance of hsa_circ_0060975 in patients with GC. Reverse transcription-quantitative PCR was used to detect expression level of hsa_circ_0060975 in 192 GC and adjacent non-cancerous gastric tissues, in GC cell lines (MKN-45, HGC27 and AGS) and a human gastric epithelium cell line (GES-1), as well as in plasma samples from 126 patients with GC and 92 healthy volunteers. All plasma and tissue samples of were obtained from The First Affiliated Hospital of Anhui Medical University (Hefei, China). The relationship between hsa_circ_0060975 expression and clinical pathological factors was analyzed using the χ 2 test. The diagnostic value of hsa_circ_0060975 was analyzed using the receiver operating characteristic curve (ROC curve), while the Kaplan-Meier method was used to analyze the relationship of hsa_circ_0060975 expression with the survival of patients with GC as determined by log-rank tests. Univariate and multivariate Cox regression analyses were used to identify the prognostic factors, including hsa_circ_0060975 expression and clinical pathological factors. In addition, the potential function of hsa_circ_0060975 was evaluated via bioinformatics analysis. The expression level of hsa_circ_0060975 was higher in GC tissues compared with adjacent non-cancerous gastric tissues, GC cell lines compared with GES-1 and plasma samples from patients with GC compared with plasma samples from healthy volunteers. In addition, higher hsa_circ_0060975 expression was associated with histological grade, pathological stage and tumor (T) classification in GC tissues and plasma samples (P<0.05). The area under the ROC curves of hsa_circ_0060975, the combination with hsa_circ_0060975 and carcinoembryonic antigen (CEA) or CEA alone were 0.804 (sensitivity, 0.746; specificity, 0.783; P<0.001); 0.931 (sensitivity, 0.937; specificity, 0.870; P<0.001) and 0.924 (sensitivity, 0.937; sspecificity, 0.804; P<0.001) respectively. The Kaplan-Meier survival analysis revealed that the overall survival (OS) and disease-free survival (DFS) time of patients with higher hsa_circ_0060975 expression were shorter compared with those in patients with lower hsa_circ_0060975 expression. Univariate and multivariate Cox regression analyses in OS and DFS time determined that the expression level of hsa_circ_0060975, histological grade and pathological stage were independent prognostic factors for patients with GC. In addition, the bioinformatics analysis results suggested that the abnormal expression of hsa_circ_0060975 may serve an important role in tumorigenesis. Hence, hsa_circ_0060975 expression may be an independent prognostic factor for patients with GC and may be a potential marker for biological malignancy.

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“…The non-cellular TME network is comprised of ECM components [ e.g. , collagens ( 61 ), fibronectin ( 62 ), elastin ( 63 ), and laminin ( 64 )], and soluble cellular derivatives [ e.g. , cytokines, chemokines ( 65 ), hormones ( 66 ), metabolites ( 67 , 68 ) and growth factors ( 69 )].…”

Section: Immunological Tumor Microenvironmentmentioning

confidence: 99%

The Use of Iron Oxide Nanoparticles to Reprogram Macrophage Responses and the Immunological Tumor Microenvironment

2021

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The synthesis and functionalization of iron oxide nanoparticles (IONPs) is versatile, which has enhanced the interest in studying them as theranostic agents over recent years. As IONPs begin to be used for different biomedical applications, it is important to know how they affect the immune system and its different cell types, especially their interaction with the macrophages that are involved in their clearance. How immune cells respond to therapeutic interventions can condition the systemic and local tissue response, and hence, the final therapeutic outcome. Thus, it is fundamental to understand the effects that IONPs have on the immune response, especially in cancer immunotherapy. The biological effects of IONPs may be the result of intrinsic features of their iron oxide core, inducing reactive oxygen species (ROS) and modulating intracellular redox and iron metabolism. Alternatively, their effects are driven by the nanoparticle coating, for example, through cell membrane receptor engagement. Indeed, exploiting these properties of IONPs could lead to the development of innovative therapies. In this review, after a presentation of the elements that make up the tumor immunological microenvironment, we will review and discuss what is currently known about the immunomodulatory mechanisms triggered by IONPs, mainly focusing on macrophage polarization and reprogramming. Consequently, we will discuss the implications of these findings in the context of plausible therapeutic scenarios for cancer immunotherapy.

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Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram

Cited by 107 publications

References 60 publications

The PDAC Extracellular Matrix: A Review of the ECM Protein Composition, Tumor Cell Interaction, and Therapeutic Strategies

The PDAC Extracellular Matrix: A Review of the ECM Protein Composition, Tumor Cell Interaction, and Therapeutic Strategies

hsa_circ_0060975 is highly expressed and predicts a poor prognosis in gastric cancer

The Use of Iron Oxide Nanoparticles to Reprogram Macrophage Responses and the Immunological Tumor Microenvironment

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