Identification of metabolic biomarkers for diagnosis of epithelial ovarian cancer using internal extraction electrospray ionization mass spectrometry (iEESI-MS) DOI
Jiajia Li, Zhenpeng Wang, Wenjie Liu

et al.

Cancer Biomarkers, Journal Year: 2023, Volume and Issue: 37(2), P. 67 - 84

Published: May 23, 2023

Epithelial ovarian cancer (EOC) is the leading cause of death from gynecologic malignancies. The poor prognosis EOC mainly due to its asymptomatic early stage, lack effective screening methods, and a late diagnosis in advanced stages disease.This study investigated metabolomic abnormalities epithelial cancers.Our developed novel strategy rapidly identify metabolic biomarkers plasma patients using Internal Extraction Electrospray Ionization Mass Spectrometry (IEESI-MS) Liquid Chromatography-mass (HPLC-MS), which could distinguish differential metabolites between samples collected 98 with cancer, including 78 cases original (P), 20 self-configuration (ZP), as well 60 healthy subjects, 30 sample (H), (ZH), 6 blind (B).Our detected 880 based on criteria variable importance projection (VIP) > 1, among 26 were selected for further identification. They are metabolism-related lipids, amino acids, nucleic others. pathways associated explored by KEGG analysis, comprehensive database that integrates genome, chemistry, system function information. abnormal identified IEESI-MS HPLC-MS included Lysophosphatidylcholine (16:0) [Lyso PC (16:0)], L-Phenylalanine, L-Leucine, Phenylpyruvic acid, L-Tryptophan, L-Histidine.Identifying through metabolomics analyses provide new valuable potential EOC.

Language: Английский

FTO-mediated m6A modification of QPCT promotes tumorigenesis in lung adenocarcinoma by inducing macrophage chemotaxis and M2 polarization DOI
Benkun Liu, Yubo Yan, Junnan Guo

et al.

American Journal of Cancer Research, Journal Year: 2025, Volume and Issue: 15(3), P. 1036 - 1050

Published: Jan. 1, 2025

Lung adenocarcinoma (LUAD), the most common histologic subtype of lung cancer, is characterized by malignant and high infiltrating. Glutaminyl-peptide cyclotransferase (QPCT) promotes cancer progression modifying N-terminus chemokine C-C motif ligand 2 (CCL2) to a pyroglutamate residue stabilizing protein. The role QPCT in LUAD still unknown. mRNA protein expression were up-regulated clinical specimens. By generating stable HCC44 cells with overexpression A549 knockdown, we found that knockdown notably inhibited cell proliferation. Additionally, deletion reduced CCL2 contents supernatants phorbol 12-myristate 13-acetate-induced THP-1 macrophage chemotaxis toward tumor or conditioned medium. CD68+/CD206+ ratio was vitro. Nude mice inoculated parental used explore functions. results consistent vitro experiments. predicted be modified N6-methyladenosine (m6A), performed methylated RNA immunoprecipitation PCR confirm this result cells. m6A demethylase fat mass obesity-associated (FTO) positively correlated samples. FTO bound affected stability. abrogated recruitment M2 polarization induced overexpression. In conclusion, tumorigenesis increasing proportion. This may due FTO-mediated demethylation

Language: Английский

Citations

0

GPR176 Is a Biomarker for Predicting Prognosis and Immune Infiltration in Stomach Adenocarcinoma DOI Creative Commons
Lin Ni, Shuming Chen, Jianyong Liu

et al.

Mediators of Inflammation, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 21

Published: April 19, 2023

Immunotherapy based on immune checkpoint inhibitors (ICIs) is considered to be a promising treatment for stomach adenocarcinoma (STAD), but only minority of patients benefit from it. It believed that the poor therapeutic efficacy attributed complex tumor microenvironment (TIM) STAD. Therefore, elucidating specific regulatory mechanism TIM in STAD critical. Previous study suggests GRP176 may involved regulating pace circadian behavior, and its role tumors has not been reported. In this study, we first found GPR176 was highly expressed negatively correlated with patient prognosis. Next, investigated relationship between clinical characteristics, results showed stage closely related level GPR176. addition, our further analysis expression significantly chemotherapeutic drug sensitivity ICI response. KEGG GO analyses might stromal remodeling Furthermore, analyzed association implication, revealed infiltration various cells. Interestingly, induced conversion while reducing burden (TMB). The immunomodulators. Moreover, performed univariate multivariate regression immunomodulators finally obtained 4 genes (CRCR4, TNSF18, PDCD1, TGFB1). Then, constructed GRP176-related immunomodulator prognostic model (GRIM) above genes, which validated have good predictive power. Finally, developed nomogram risk score GRIM verified accuracy. These suggested prognosis new potential target immunotherapy

Language: Английский

Citations

7

Identification of metabolic biomarkers for diagnosis of epithelial ovarian cancer using internal extraction electrospray ionization mass spectrometry (iEESI-MS) DOI
Jiajia Li, Zhenpeng Wang, Wenjie Liu

et al.

Cancer Biomarkers, Journal Year: 2023, Volume and Issue: 37(2), P. 67 - 84

Published: May 23, 2023

Epithelial ovarian cancer (EOC) is the leading cause of death from gynecologic malignancies. The poor prognosis EOC mainly due to its asymptomatic early stage, lack effective screening methods, and a late diagnosis in advanced stages disease.This study investigated metabolomic abnormalities epithelial cancers.Our developed novel strategy rapidly identify metabolic biomarkers plasma patients using Internal Extraction Electrospray Ionization Mass Spectrometry (IEESI-MS) Liquid Chromatography-mass (HPLC-MS), which could distinguish differential metabolites between samples collected 98 with cancer, including 78 cases original (P), 20 self-configuration (ZP), as well 60 healthy subjects, 30 sample (H), (ZH), 6 blind (B).Our detected 880 based on criteria variable importance projection (VIP) > 1, among 26 were selected for further identification. They are metabolism-related lipids, amino acids, nucleic others. pathways associated explored by KEGG analysis, comprehensive database that integrates genome, chemistry, system function information. abnormal identified IEESI-MS HPLC-MS included Lysophosphatidylcholine (16:0) [Lyso PC (16:0)], L-Phenylalanine, L-Leucine, Phenylpyruvic acid, L-Tryptophan, L-Histidine.Identifying through metabolomics analyses provide new valuable potential EOC.

Language: Английский

Citations

3