Targeting cuproptosis for cancer therapy: Focus on the anti-tumor immune system DOI Creative Commons
Xuan Zhang, Xiaohong Han

Cancer Pathogenesis and Therapy, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Copper (Cu) is an indispensable micronutrient that maintains signaling pathways and biological homeostasis in almost all cell types; however, its excess affects the tricarboxylic acid cycle, causes accumulation of fatty acylated proteins, destabilization iron–sulfur cluster increases levels intracellular reactive oxygen species, leading to proteotoxic stress death. Cuproptosis, a form Cu-dependent death, differs from other types regulated death (RCD) was first reported Science 2022. Recently, RCD have been targeted cancer therapy. However, escape apoptosis tumor cells resistance treatment recurrence. Therefore, there urgent need study alternative mechanisms mortality. Compared normal patients, significant increase serum Cu ion has observed patients with tumors. Moreover, proliferation, angiogenesis, metastasis are associated cuproptosis. Thus, exploring related cuproptosis will provide new perspective for development anti-cancer drugs. Importantly, closely modulation anti-tumor immunity. The expression cuproptosis-related genes (CRGs) significantly correlated immune infiltration checkpoint programmed protein 1 (PD-1)/programmed death-ligand (PD-L1). Based on these findings, series drugs used tumor-targeted combination therapy or as synergists. elucidating role per stage microenvironment (TIME) helpful clarifying potential value specific cancers. In this review, we summarize based regulation concentration. two approaches may help researchers develop more therapies targeting pathways. focused effect TIME systematically discussed CRGs immunity considering CRG-related pathways, prognosis scoring system, immunotherapy, experiments bioinformatics prediction models, ideas anticancer

Language: Английский

Copper homeostasis and copper-induced cell death in tumor immunity: implications for therapeutic strategies in cancer immunotherapy DOI Creative Commons

Sai‐Nan Zhang,

Qibo Huang,

Tuo Ji

et al.

Biomarker Research, Journal Year: 2024, Volume and Issue: 12(1)

Published: Oct. 31, 2024

Copper is an important trace element for maintaining key biological functions such as cellular respiration, nerve conduction, and antioxidant defense. Maintaining copper homeostasis critical human health, its imbalance has been linked to various diseases, especially cancer. Cuproptosis, a novel mechanism of copper-induced cell death, provides new therapeutic opportunities metal ion regulation interact with fate. This review insights into the complex mechanisms metabolism, molecular basis cuproptosis, association cancer development. We assess role cuproptosis-related genes (CRGs) associated tumorigenesis, their importance prognostic indicators targets, impact on tumor microenvironment (TME) immune response. Ultimately, this highlights interplay between copper, immunotherapy.

Language: Английский

Citations

5
DLAT is involved in ovarian cancer progression by modulating lipid metabolism through the JAK2/STAT5A/SREBP1 signaling pathway DOI Creative Commons

Hui Wang,

Shen Luo, Yue Yin

et al.

Cancer Cell International, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 27, 2025

Language: Английский

Citations

0
The clinicopathological significance and prognostic impact of 14-3-3σ/stratifin expression on patients with surgically resectable intrahepatic cholangiocarcinoma DOI Creative Commons
Su‐Hung Wang, Yao‐Yu Hsieh,

Khaa Hoo Ong

et al.

Asian Journal of Surgery, Journal Year: 2024, Volume and Issue: 48(1), P. 250 - 260

Published: Sept. 3, 2024

Intrahepatic cholangiocarcinoma (iCCA) is the second most common primary liver cancer after hepatocellular carcinoma. Through data mining of publicly available iCCA transcriptomic datasets from Gene Expression Omnibus, we identified SFN as significantly up-regulated gene in compared to normal tissue, focusing on Ontology term "cell proliferation" (GO:0008283). encodes 14-3-3σ protein, also known stratifin, which plays crucial roles various cellular processes. Immunohistochemistry was used assess stratifin expression 182 patients with localized iCCAs undergoing surgical resection. Patients were divided into low and high groups, association between clinicopathological features analyzed. Univariate multivariate survival analyses performed overall (OS), disease-specific (DSS), local recurrence-free (LRFS), metastasis-free (MeFS). Elevated associated absence hepatitis, positive margins, advanced tumor stages, higher histological grades (all p ≤ 0.011). Survival demonstrated a significant negative all prognostic indicators, including OS, DSS, LRFS, MeFS 0.0004). Multivariate analysis revealed that overexpression correlated poorer outcomes terms < 0.001). These findings suggest may play role oncogenesis progression, serving potential novel biomarker.

Language: Английский

Citations

0
Revolutionary multi-omics analysis revealing prognostic signature of thyroid cancer and subsequent in vitro validation of SNAI1 in mediating thyroid cancer progression through EMT DOI Creative Commons
Xin Jin, Chunlan Fu, Jiahui Qi

et al.

Clinical and Experimental Medicine, Journal Year: 2024, Volume and Issue: 24(1)

Published: June 13, 2024

Abstract Thyroid carcinoma (TC), the most commonly diagnosed malignancy of endocrine system, has witnessed a significant rise in incidence over past few decades. The integration scRNA-seq with other sequencing approaches offers researchers distinct perspective to explore mechanisms underlying TC progression. Therefore, it is crucial develop prognostic model for patients by utilizing multi-omics approach. We acquired and processed transcriptomic data from TCGA-THCA dataset, including mRNA expression profiles, lncRNA miRNA methylation chip data, gene mutation clinical data. constructed tumor-related risk using machine learning methods developed consensus learning-driven signature (CMLS) accurate stable prediction patient outcomes. 2 strains undifferentiated cell lines 1 strain PTC line were utilized vitro validation. mRNA, protein levels hub genes, epithelial-mesenchymal transition (EMT)-associated phenotypes detected series experiments. identified 3 molecular subtypes based on integrated clustering algorithms, which associated overall survival displayed features. CMLS 28 genes predict outcomes, demonstrated that outperformed models. relatively lower score had significantly higher T cells, B macrophages, indicating an immune-activated state. Fibroblasts predominantly enriched high group, along markers immune suppression evasion. several drugs could be suitable CMLS, Staurosporine_1034, Rapamycin_1084, gemcitabine, topotecan. SNAI1 was elevated both lines, comparing cells. Knockdown reduced proliferation EMT Our findings highlight importance analysis understanding characteristics TC, provide novel potential therapeutic targets this disease. Moreover, we mediating progression through vitro.

Language: Английский

Citations

0
Factors associated with prognosis and staging of intrahepatic cholangiocarcinoma DOI Open Access
Robert C. Chick, Samantha M. Ruff, Timothy M. Pawlik

et al.

Journal of Cancer Metastasis and Treatment, Journal Year: 2024, Volume and Issue: unknown

Published: July 10, 2024

Intrahepatic cholangiocarcinoma (ICC) is a relatively rare but aggressive primary liver cancer with poor prognosis. A number of established clinical and pathologic factors correlate prognosis, this reflected in the American Joint Committee on Cancer (AJCC) 8th Edition staging manual. Researchers have identified areas for improvement prognostication ICC using more nuanced tools, including serum biomarkers, molecular profiling, immunophenotyping, multimodal prognostic scoring systems. These data led to proposals novel systems that attempt improve correlation between stage More accurate tools may aid treatment decisions are tailored each individual patient, maximize therapy individuals most likely benefit avoid unnecessary toxicity decision regret those whom unlikely alter outcomes. Artificial intelligence machine learning help researchers develop new models predict outcomes accuracy precision.

Language: Английский

Citations

0
Targeting cuproptosis for cancer therapy: Focus on the anti-tumor immune system DOI Creative Commons
Xuan Zhang, Xiaohong Han

Cancer Pathogenesis and Therapy, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Copper (Cu) is an indispensable micronutrient that maintains signaling pathways and biological homeostasis in almost all cell types; however, its excess affects the tricarboxylic acid cycle, causes accumulation of fatty acylated proteins, destabilization iron–sulfur cluster increases levels intracellular reactive oxygen species, leading to proteotoxic stress death. Cuproptosis, a form Cu-dependent death, differs from other types regulated death (RCD) was first reported Science 2022. Recently, RCD have been targeted cancer therapy. However, escape apoptosis tumor cells resistance treatment recurrence. Therefore, there urgent need study alternative mechanisms mortality. Compared normal patients, significant increase serum Cu ion has observed patients with tumors. Moreover, proliferation, angiogenesis, metastasis are associated cuproptosis. Thus, exploring related cuproptosis will provide new perspective for development anti-cancer drugs. Importantly, closely modulation anti-tumor immunity. The expression cuproptosis-related genes (CRGs) significantly correlated immune infiltration checkpoint programmed protein 1 (PD-1)/programmed death-ligand (PD-L1). Based on these findings, series drugs used tumor-targeted combination therapy or as synergists. elucidating role per stage microenvironment (TIME) helpful clarifying potential value specific cancers. In this review, we summarize based regulation concentration. two approaches may help researchers develop more therapies targeting pathways. focused effect TIME systematically discussed CRGs immunity considering CRG-related pathways, prognosis scoring system, immunotherapy, experiments bioinformatics prediction models, ideas anticancer

Language: Английский

Citations

0