Upregulated LAMA3 modulates proliferation, adhesion, migration and epithelial‑to‑mesenchymal transition of cholangiocarcinoma cells

Islam, Kittiya; Balasubramanian, Brinda; Venkatraman, Simran; Thummarati, Parichut; Tunganuntarat, Janpen; Phueakphud, Nut; Kanjanasirirat, Phongthon; Khumpanied, Tanawadee; Kongpracha, Pornparn; Kittirat, Yingpinyapat; Tohtong, Rutaiwan; Janvilisri, Tavan; Wongtrakoongate, Patompon; Borwornpinyo, Suparerk; Namwat, Nisana; Suthiphongchai, Tuangporn

doi:10.1038/s41598-023-48798-8

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…Knocking down MT1X significantly enhanced the growth rate of esophageal cancer cells [ 28 ]. The upregulation of LAMA3 influenced the growth, attachment, movement, and transition from epithelial to mesenchymal states in cholangiocarcinoma cells [ 29 ]. MET, a critical tyrosine kinase, played a vital role in the initiation and progression to drive cancer development by enhancing cell proliferation, morphogenesis, and survival.…”

Section: Discussionmentioning

confidence: 99%

Single-Cell RNA Sequencing Analysis Reveals Metabolic Changes in Epithelial Glycosphingolipids and Establishes a Prognostic Risk Model for Pancreatic Cancer

Ba,

Wang,

et al. 2024

Diagnostics

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Objective: Metabolic reprogramming serves as a distinctive feature of cancer, impacting proliferation and metastasis, with aberrant glycosphingolipid expression playing a crucial role in malignancy. Nevertheless, limited research has investigated the connection between glycosphingolipid metabolism and pancreatic cancer. Methods: This study utilized a single-cell sequencing dataset to analyze the cell composition in pancreatic cancer tissues and quantified single-cell metabolism using a newly developed computational pipeline called scMetabolism. A gene signature developed from the differential expressed genes (DEGs), related to epithelial cell glycosphingolipid metabolism, was established to forecast patient survival, immune response, mutation status, and reaction to chemotherapy with pancreatic adenocarcinoma (PAAD). Results: The single-cell sequencing analysis revealed a significant increase in epithelial cell proportions in PAAD, with high glycosphingolipid metabolism occurring in the cancerous tissue. A six-gene signature prognostic model based on abnormal epithelial glycosphingolipid metabolism was created and confirmed using publicly available databases. Patients with PAAD were divided into high- and low-risk categories according to the median risk score, with those in the high-risk group demonstrating a more unfavorable survival outcome in all three cohorts, with higher rates of gene mutations (e.g., KRAS, CDKN2A), increased levels of immunosuppressive cells (macrophages, Th2 cells, regulatory T cells), and heightened sensitivity to Acetalax and Selumetinlb. Conclusions: Abnormal metabolism of glycosphingolipids in epithelial cells may promote the development of PAAD. A model utilizing a gene signature associated with epithelial glycosphingolipids metabolism has been established, serving as a valuable indicator for the prognostic stratification of patients with PAAD.

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Section: Discussionmentioning

confidence: 99%

Single-Cell RNA Sequencing Analysis Reveals Metabolic Changes in Epithelial Glycosphingolipids and Establishes a Prognostic Risk Model for Pancreatic Cancer

Ba,

Wang,

et al. 2024

Diagnostics

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Identification of novel tumor antigens and immune subtypes in breast cancer patients for mRNA vaccine development

Yu,

Liu,

et al. 2024

Preprint

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Background:Breast cancer has overtaken lung cancer as the world's most common malignancy. Despite the development of some mRNA vaccines, no satisfactory vaccination for breast cancer has entered clinical application. Methods:In this study, we used multiple analyses of expression datasets from public sources to find new possible tumor antigens for breast cancer and to hunt for potential treatment-sensitive patients. Results: We identified the antigens DST, ANO6, LAMA3, and NEDD9 as putative candidates. Furthermore, we found five predictive genes to identify specific patients inclined for vaccination, namely TRBC2, CD3D, CD27, CD3E, and TRBV28. Following that, we discovered three immunological subtypes of breast cancer, Cluster 1 and Cluster 3, which were recognized as "cold tumors" with minimal immune activity and were more likely to respond to vaccination. We uncovered that Cluster 1 and Cluster 3 could be further separated into two subgroups, each with distinct immune cell infiltration patterns, suggesting that vaccine responses could differ among these patients. The findings of our study lay theoretical foundation for the development of mRNA vaccine and provide new opportunities for personalized treatment.

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Upregulated LAMA3 modulates proliferation, adhesion, migration and epithelial‑to‑mesenchymal transition of cholangiocarcinoma cells

Cited by 2 publications

References 47 publications

Single-Cell RNA Sequencing Analysis Reveals Metabolic Changes in Epithelial Glycosphingolipids and Establishes a Prognostic Risk Model for Pancreatic Cancer

Single-Cell RNA Sequencing Analysis Reveals Metabolic Changes in Epithelial Glycosphingolipids and Establishes a Prognostic Risk Model for Pancreatic Cancer

Identification of novel tumor antigens and immune subtypes in breast cancer patients for mRNA vaccine development

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