Sprouty 1 is associated with stemness and cancer progression in glioblastoma

Park, Seo-Young; Jeong, Hang Yeon; Batara, Don Carlo; Lee, Suk Jun; Cho, Jeong-Yong; Kim, Sung-Hak

doi:10.1016/j.ibneur.2022.07.003

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Subsequently, 255 studies were enrolled, the characteristics of each study were shown in Supplementary Table 2. Among these, 161 studies were conducted in China [16, 18, 20-21, 23-29, 31, 34, 36-37, 40-44, 47-48, 50, 53, 55, 64, 66-69, 71-74, 80, 82-87, 89, 92-95, 97-98, 102-105, 107, 109-113, 115-118, 120-124, 126-127, 135-137, 139-144, 146-152, 154-155, 157, 160-164, 166, 168-170, 172-173, 177-179, 184-190, 193-195, 197-197, 206-208, 212-213, 215-221, 223-226, 229, 231-246, 244, 246-257, 259-261 ], 23 studies were conducted in USA [10, 13-14, 32, 45-46, 58, 63, 75, 77, 88, 106, 108, 114, 133-134, 159, 165, 182, 192, 228, 243, 245]; besides that, India [9,19,30,33,59,101,130,132,196,205], Taiwan [61,79,96,145,156,[175][176]242], Germany [38,51,65,90,180,230], Japan [22,57,76,129,258], Republic of Korea [62,167,171,209,241], UK [39,60,131,…”

Section: Descriptive Statisticsmentioning

confidence: 99%

mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses

Azimi,

Yazdanian,

Ahmadiani

2024

BMC Cancer

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Background Glioblastoma multiforme (GBM) is a type of fast-growing brain glioma associated with a very poor prognosis. This study aims to identify key genes whose expression is associated with the overall survival (OS) in patients with GBM. Methods A systematic review was performed using PubMed, Scopus, Cochrane, and Web of Science up to Journey 2024. Two researchers independently extracted the data and assessed the study quality according to the New Castle Ottawa scale (NOS). The genes whose expression was found to be associated with survival were identified and considered in a subsequent bioinformatic study. The products of these genes were also analyzed considering protein-protein interaction (PPI) relationship analysis using STRING. Additionally, the most important genes associated with GBM patients’ survival were also identified using the Cytoscape 3.9.0 software. For final validation, GEPIA and CGGA (mRNAseq_325 and mRNAseq_693) databases were used to conduct OS analyses. Gene set enrichment analysis was performed with GO Biological Process 2023. Results From an initial search of 4104 articles, 255 studies were included from 24 countries. Studies described 613 unique genes whose mRNAs were significantly associated with OS in GBM patients, of which 107 were described in 2 or more studies. Based on the NOS, 131 studies were of high quality, while 124 were considered as low-quality studies. According to the PPI network, 31 key target genes were identified. Pathway analysis revealed five hub genes (IL6, NOTCH1, TGFB1, EGFR, and KDR). However, in the validation study, only, the FN1 gene was significant in three cohorts. Conclusion We successfully identified the most important 31 genes whose products may be considered as potential prognosis biomarkers as well as candidate target genes for innovative therapy of GBM tumors.

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Section: Descriptive Statisticsmentioning

confidence: 99%

mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses

Azimi,

Yazdanian,

Ahmadiani

2024

BMC Cancer

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Glioblastoma therapy: State of the field and future prospects

Khiabani,

Doustvandi,

Story

et al. 2024

Life Sciences

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Loss of SPRY2 contributes to cancer-associated fibroblasts activation and promotes breast cancer development

Dai

Wang

et al. 2023

Breast Cancer Res

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The communication between tumor cells and tumor microenvironment plays a critical role in cancer development. Cancer-associated fibroblasts (CAFs) are the major components of the tumor microenvironment and take part in breast cancer formation and progression. Here, by comparing the gene expression patterns in CAFs and normal fibroblasts, we found SPRY2 expression was significantly decreased in CAFs and decreased SPRY2 expression was correlated with worse prognosis in breast cancer patients. SPRY2 knockdown in fibroblasts promoted tumor growth and distant metastasis of breast cancer in mice. Loss of stromal SPRY2 expression promoted CAF activation dependent on glycolytic metabolism. Mechanically, SPRY2 suppressed Y10 phosphorylation of LDHA and LDHA activity by interfering with the interaction between LDHA and SRC. Functionally, SPRY2 knockdown in fibroblasts enhanced the stemness of tumor cell dependent on glycolysis in fibroblasts. Collectively, this work identified SPRY2 as a negative regulator of CAF activation, and SPRY2 in CAFs may potentially be therapeutically targeted in breast cancer treatment.

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Sprouty 1 is associated with stemness and cancer progression in glioblastoma

Cited by 4 publications

References 16 publications

mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses

mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses

Glioblastoma therapy: State of the field and future prospects

Loss of SPRY2 contributes to cancer-associated fibroblasts activation and promotes breast cancer development

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