PANX1 is a potential prognostic biomarker associated with immune infiltration in pancreatic adenocarcinoma: A pan-cancer analysis

Bao, Lingling; Sun, Kai; Zhang, Xuede

doi:10.1080/19336950.2021.2004758

Cited by 14 publications

(13 citation statements)

References 82 publications

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“…Unlike the previous similar studies, the pan-cancer research conducted by the Li et al found that the MMP14 showed strong correlation with the six species (B cells, CD4 T cells, CD8 T cells, macrophages, dendritic cells, and neutrophils) [ 11 ]. The pan-cancer research conducted by the Bao et al discovered that PANX1 is highly engaged in various kinds of immune cells in many cancers (CAF, macrophage, and neutrophil cells) [ 12 ]. Moreover, the survey which paid attention to the COPB1 found that for most cancers, there existed strong correlation with the immune checkpoints (BTLA, LAIR1, CTLA4, CD48, CD28, and CD200 receptor 1).…”

Section: Discussionmentioning

confidence: 99%

[Retracted] Pan‐Cancer Analysis of Prognostic and Immune Infiltrates for the TMEM65, Especially for the Breast Cancer

Song

Wang

Feng

et al. 2023

Evidence-Based Complementary and Alternative Medicine

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Introduction. Transmembrane protein 65 (TMEM65) is an inner mitochondrial membrane protein, which played important role in mediating autophagy, smooth muscle contraction, protein glycosylation, and immune response. In recent years, the interest had risen for exploring the function of the TMEM genes in the cancer fields. As a consequence, in our pan-cancer research of the TMEM65, we explored the function of the gene in kinds of database and tried to apply the finding in the clinical practice. Methods. In this research, we provide a comprehensive investigation of TMEM65 expression in a pan-cancer manner containing 33 cancer types. We evaluated the association of TMEM65 with the prognosis, immune infiltration, drug sensitivity analysis, GSVA enrichment analysis, TMB, MSI, NEO, and hotspot mechanisms. Results. TMEM65 was abnormally expressed in 24 types of cancers and showed correlation with the OS for 6 cancers and PFI for 9 cancers and kpI for 3 types. Moreover, the TME score, CD8 T effector, and immune checkpoint scoring systems showed a close correlation with the TMEM65. Moreover, TMEM65 was strongly correlated with some of the most common tumor-related genes and certain pathways (TGF beta signaling, TNFA signaling, hypoxia, pyroptosis, DNA repairing, autophagy, ferroptosis, and other related genes). Additionally, the TMEM65 showed correlations with the tumor mutational burden (TMB), microsatellite instability (MSI), NEO, and drug sensitivity. Finally, we confirmed several pathways by the GSEA and GSVA for the TMEM65 at the breast cancer aspects. Nomogram prediction model was also established for the breast tumors based on the TMEM65 level and other variables. Conclusion. Above all, the TMEM65 played important roles in predicting the prognosis of the cancers and correlated with the tumor immunity in the pan-cancer analysis.

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Section: Discussionmentioning

confidence: 99%

[Retracted] Pan‐Cancer Analysis of Prognostic and Immune Infiltrates for the TMEM65, Especially for the Breast Cancer

Song

Wang

Feng

et al. 2023

Evidence-Based Complementary and Alternative Medicine

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“…PLKT1 suppresses PC progression and inhibits NF-κB activity, and targeting PLKT1 can alleviate the sensitivity of immunotherapy in PC [78]. The up-regulation of PANX1 was correlated with poor outcomes and immune in ltration in PC [79]. CCNB1 silencing suppresses cell proliferation and promotes cell senescence by activating the p53 signalling pathway in PC [80].…”

Section: Discussionmentioning

confidence: 99%

Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer

Zang

Zhang

Zhou

et al. 2023

Preprint

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Background: Pancreatic cancer (PC) is a digestive malignancy with worse overall survival and we aimed to detect the TIME-related classifier to facilitate the personalized treatment of PC. Methods: Unsupervised consensus clustering and multiple machine-learning algorithms were implemented to construct the immune-related signature (IRS). scRNA-seq analysis was conducted to explore the regulatory mechanism of IRS on TIME in PC. Finally, pharmacogenomic databases were enrolled to treat high IRS patients. Results: We classified patients into Immune_rich and Immune_desert subgroups. Next, the IRS model was established based on 8 IRGs (SYT12, TNNT1, TRIM46, SMPD3, ANLN, AFF3, CXCL9 and RP1L1) and validated its predictive efficiency in multiple cohorts. RT-qPCR experiments demonstrated the differential expression of 8 IRGs between tumor and normal cell lines. Patients who gained lower IRS score tended to be more sensitive to chemotherapy and immunotherapy, and obtained better overall survival compared to those with higher IRS score. Moreover, scRNA-seq analysis revealed that fibroblast and ductal cells might affect malignant tumor cells via MIF-(CD74+CD44) and SPP1-CD44 axis. Eventually, we identified eight therapeutic targets and one agent for IRS high patients. Conclusion: Our study screened out the specific regulation pattern of TIME in PC, and shed light on the precise treatment of PC.

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“…Although the relationship between PANX1 and exATP/exADO has been reported [ 38 , 39 ], the immunomodulatory role of PANX1 in the tumor microenvironment still requires further investigation. It was reported that PANX1 had certain effect on the prognosis and metastasis of various tumor, such as pro-carcinogenic effects in pancreatic adenocarcinoma [ 40 ], breast cancer [ 13 , 41 ], hepatocellular carcinoma [ 42 ], testicular carcinoma [ 43 ], melanoma [ 44 ], and anticarcinogenic effects in rhabdomyosarcoma [ 45 ]. Stewart et al found that PANX1 expression was required for breast development during lactation and that high PANX1 expression was associated with worse clinical outcomes in breast cancer [ 13 ].…”

Section: Discussionmentioning

confidence: 99%

High PANX1 Expression Leads to Neutrophil Recruitment and the Formation of a High Adenosine Immunosuppressive Tumor Microenvironment in Basal-like Breast Cancer

Chen

Jia

et al. 2022

Cancers

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Background: A high adenosine level is an important characteristic of the tumor microenvironment (TME) in breast cancer. Pannexin 1 (PANX1) can release intracellular ATP to the extracellular space and elevate extracellular ATP (exATP) levels under physiological conditions. Methods: We performed public database bioinformatics analysis, surgical specimen histological validation, RNA sequencing, and exATP/extracellular adenosine (exADO) assays to reveal the role of PANX1 in regulating the immune microenvironment of basal-like breast cancer. Results: Our results revealed that PANX1 acted as a poor prognostic factor for breast cancer and had high expression in basal-like breast cancer. PANX1 expression was positively correlated with exATP and exADO levels in basal-like breast cancer TME. PANX1 expression was also positively correlated with tumor-associated neutrophil (TAN) infiltration in breast cancer TME and TANs highly expressed ENTPD1 (CD39)/NT5E (CD73). Conclusion: This study suggests that high PANX1 expression is associated with high TAN infiltration and adenosine production to induce local immunosuppression in basal-like breast cancer TME.

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PANX1 is a potential prognostic biomarker associated with immune infiltration in pancreatic adenocarcinoma: A pan-cancer analysis

Cited by 14 publications

References 82 publications

[Retracted] Pan‐Cancer Analysis of Prognostic and Immune Infiltrates for the TMEM65, Especially for the Breast Cancer

[Retracted] Pan‐Cancer Analysis of Prognostic and Immune Infiltrates for the TMEM65, Especially for the Breast Cancer

Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer

High PANX1 Expression Leads to Neutrophil Recruitment and the Formation of a High Adenosine Immunosuppressive Tumor Microenvironment in Basal-like Breast Cancer

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