Correction: Overexpression of MEOX2 and TWIST1 is Associated with H3K27me3 Levels and Determines Lung Cancer Chemoresistance and Prognosis

Ávila‐Moreno, Federico; Armas-López, Leonel; Álvarez-Moran, Aldo M.; Lopez‐Bujanda, Zoila A.; Ortiz‐Quintero, Blanca; Hidalgo-Miranda, Alfredo; Urrea-Ramírez, Francisco; Rivera-Rosales, Rosa María; Vázquez-Manríquez, Eugenia; Peña-Mirabal, Erika; Morales-Gómez, José; Vázquez-Minero, Juan Carlos; Téllez-Becerra, José Luis; Ramírez-Mendoza, Roberto; Ávalos-Bracho, Alejandro; Alba, Enrique Guzmán de; Vázquez-Santillán, Karla; Maldonado-Lagunas, Vilma; Santillán-Doherty, Patricio; Piña‐Sánchez, Patricia; Zúñiga-Ramos, Joaquín

doi:10.1371/journal.pone.0146569

Cited by 4 publications

(3 citation statements)

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“…A recent study showed that ERMN was connected to the Wnt pathway and might be a candidate gene that drives hepatoblastoma 45 . Mesenchyme Homeobox 2 (MEOX2) is related to the malignant progression of various tumors 38 , 46 , but its specific role in colorectal cancer has not been studied. A study suggests that MEOX2 may play a role in the carcinogenic process of colon adenocarcinoma 47 , but the specific mechanism is still unclear.…”

Section: Discussionmentioning

confidence: 99%

Identification of tumor microenvironment-related prognostic genes in colorectal cancer based on bioinformatic methods

Liu

Cheng

et al. 2021

Sci Rep

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Colorectal cancer (CRC) ranks fourth among the deadliest cancers globally, and the progression is highly affected by the tumor microenvironment (TME). This study explores the relationship between TME and colorectal cancer prognosis and identifies prognostic genes related to the CRC microenvironment. We collected the gene expression data from The Cancer Genome Atlas (TCGA) and calculated the scores of stromal/immune cells and their relations to clinical outcomes in colorectal cancer by the ESTIMATE algorithm. Lower immune scores were significantly related to the malignant progression of CRC (metastasis, p = 0.001). We screened 292 differentially expressed genes (DEGs) by dividing CRC cases into high and low stromal/immune score groups. Functional enrichment analyses and protein–protein interaction (PPI) networks illustrated that these DEGs were closely involved in immune response, cytokine–cytokine receptor interaction, and chemokine signaling pathway. Six DEGs (FABP4, MEOX2, MMP12, ERMN, TNFAIP6, and CHST11) with prognostic value were identified by survival analysis and validated in two independent cohorts (GSE17538 and GSE161158). The six DEGs were significantly related to immune cell infiltration levels based on the Tumor Immune Estimation Resource (TIMER). The results might contribute to discovering new diagnostic and prognostic biomarkers and new treatment targets for colorectal cancer.

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Section: Discussionmentioning

confidence: 99%

Identification of tumor microenvironment-related prognostic genes in colorectal cancer based on bioinformatic methods

Liu

Cheng

et al. 2021

Sci Rep

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“…A recent study showed that ERMN was connected to the Wnt pathway and might be a candidate gene that drives hepatoblastoma. 44 Mesenchyme Homeobox 2 (MEOX2) is related to the malignant progression of various tumors 37,45 , but its specific role in colorectal cancer has not been studied. A study suggests that MEOX2 may play a role in the carcinogenic process of colon adenocarcinoma 46 , but the specific mechanism is still unclear.…”

Section: Discussionmentioning

confidence: 99%

Identification of Tumor Microenvironment-related Prognostic Genes in Colorectal Cancer based on Bioinformatic Methods

Liu

Cheng

et al. 2021

Preprint

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Colorectal cancer (CRC) ranks fourth among the deadliest cancers globally, and the progression is highly affected by the tumor microenvironment (TME). This study explores the relationship between TME and colorectal cancer prognosis and identifies prognostic genes related to the CRC microenvironment. We collected the gene expression data from The Cancer Genome Atlas (TCGA) and calculated the scores of stromal/immune cells and their relations to clinical outcomes in colorectal cancer by the ESTIMATE algorithm. Lower immune scores were significantly related to malignant progression of CRC (stage, p=0.014; metastasis, p=0.001). We screened 292 differentially expressed genes (DEGs) by dividing CRC cases into high and low stromal/immune score groups. Functional enrichment analyses and protein-protein interaction (PPI) networks illustrated that these DEGs were closely involved in immune response, cytokine-cytokine receptor interaction, and chemokine signaling pathway. Six DEGs (FABP4, MEOX2, MMP12, ERMN, TNFAIP6, and CHST11) with prognostic value were identified by survival analysis and validated in an independent cohort (GSE17386). The six DEGs were significantly related to immune cell infiltration levels based on the Tumor Immune Estimation Resource (TIMER). The results might contribute to discovering new diagnostic and prognostic biomarkers and new treatment targets for colorectal cancer.

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“…TWIST1 was additionally a target in lung cancer, which was correlated with the inhibition of proliferation, epithelial-mesenchymal transition and metastasis ( 51 ). Furthermore, overexpression of TWIST1 was additionally identified to determine lung cancer chemoresistance and prognosis ( 52 ). TWIST1 was additionally documented to be associated with the invasion and metastasis of gastric cancer ( 53 , 54 ), and was a potential prognostic marker in colorectal cancer ( 55 – 57 ).…”

Section: Discussionmentioning

confidence: 99%

Exploration of the diagnostic value and molecular mechanism of miR‑1 in prostate cancer: A study based on meta‑analyses and bioinformatics

et al. 2018

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Prostate cancer (PCa) remains a principal issue to be addressed in male cancer-associated mortality. Therefore, the present study aimed to examine the clinical value and associated molecular mechanism of microRNA (miR)-1 in PCa. A meta-analysis was conducted to evaluate the diagnosis of miR-1 in PCa via Gene Expression Omnibus and ArrayExpress datasets, The Cancer Genome Atlas miR-1 expression data and published literature. It was identified that expression of miR-1 was significantly downregulated in PCa. Decreased miR-1 expression possessed moderate diagnostic value, with area under the curve, sensitivity, specificity and odds ratio values at 0.73, 0.77, 0.57 and 4.60, respectively. Using bioinformatics methods, it was revealed that a number of pathways, including the ‘androgen receptor signaling pathway’, ‘androgen receptor activity’, ‘transcription factor binding’ and ‘protein processing in the endoplasmic reticulum’, were important in PCa. A total of seven hub genes, including phosphoribosylaminoimidazole carboxylase and phosphoribosylaminoimidazolesuccin ocarboxamide synthase (PAICS), cadherin 1 (CDH1), SRC proto-oncogene, non-receptor tyrosine kinase, twist family bHLH transcription factor 1 (TWIST1), ZW10 interacting kinetochore protein (ZWINT), PCNA clamp associated factor (KIAA0101) and androgen receptor, among which, five (PAICS, CDH1, TWIST1, ZWINT and KIAA0101) were significantly upregulated and negatively correlated with miR-1, were identified as key miR-1 target genes in PCa. Additionally, it was investigated whether miR-1 and its hub genes were associated with clinical features, including age, tumor status, residual tumor, lymph node metastasis, pathological T stage and prostate specific antigen level. Collectively the results suggest that miR-1 may be involved in the progression of PCa, and consequently be a promising diagnostic marker. The ‘androgen receptor signaling pathway’, ‘androgen receptor activity’, ‘transcription factor binding’ and ‘protein processing in the endoplasmic reticulum’ may be crucial interactive pathways in PCa. Furthermore, PAICS, CDH1, TWIST1, ZWINT and KIAA0101 may serve as crucial miR-1 target genes in PCa.

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Correction: Overexpression of MEOX2 and TWIST1 is Associated with H3K27me3 Levels and Determines Lung Cancer Chemoresistance and Prognosis

Abstract: In Fig 4, the statistical significance indicators are missing. Please see the corrected Fig 4 here.

Cited by 4 publications

References 1 publication

Identification of tumor microenvironment-related prognostic genes in colorectal cancer based on bioinformatic methods

Identification of tumor microenvironment-related prognostic genes in colorectal cancer based on bioinformatic methods

Identification of Tumor Microenvironment-related Prognostic Genes in Colorectal Cancer based on Bioinformatic Methods

Exploration of the diagnostic value and molecular mechanism of miR‑1 in prostate cancer: A study based on meta‑analyses and bioinformatics

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