Palladin is a Reliable Marker of Liver Metastasis in Primary Pancreatic Endocrine Neoplasms

Nasir, Aqsa; Henderson-Jackson, Evita; Helm, James F.; Strosberg, Jonathan R.; Nasir, Nelly A.; Coppola, Domenico; Kvols, Larry K.

doi:10.1097/01.mpa.0000363929.31714.9d

Cited by 9 publications

(15 citation statements)

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“…4b). Inspection of features that were selected by the predictive model revealed cancer relevant genes, such as the cancer antigen family gene BAGE5 36 and transcriptional corepressor RUNX1T1 37 . On the other hand, model features that were downregulated in PDAC cfDNA compared to non-cancer cohort were enriched for immune/blood cell relevant genes such as SLFN14 which is important for platelet formation 38 and CD22 which is expressed in B cells 39 (Fig.…”

Section: Resultsmentioning

confidence: 99%

Detection of early stage pancreatic cancer using 5-hydroxymethylcytosine signatures in circulating cell free DNA

et al. 2020

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Pancreatic cancer is often detected late, when curative therapies are no longer possible. Here, we present non-invasive detection of pancreatic ductal adenocarcinoma (PDAC) by 5-hydroxymethylcytosine (5hmC) changes in circulating cell free DNA from a PDAC cohort (n = 64) in comparison with a non-cancer cohort (n = 243). Differential hydroxymethylation is found in thousands of genes, most significantly in genes related to pancreas development or function (GATA4, GATA6, PROX1, ONECUT1, MEIS2), and cancer pathogenesis (YAP1, TEAD1, PROX1, IGF1). cfDNA hydroxymethylome in PDAC cohort is differentially enriched for genes that are commonly de-regulated in PDAC tumors upon activation of KRAS and inactivation of TP53. Regularized regression models built using 5hmC densities in genes perform with AUC of 0.92 (discovery dataset, n = 79) and 0.92–0.94 (two independent test sets, n = 228). Furthermore, tissue-derived 5hmC features can be used to classify PDAC cfDNA (AUC = 0.88). These findings suggest that 5hmC changes enable classification of PDAC even during early stage disease.

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Section: Resultsmentioning

confidence: 99%

Detection of early stage pancreatic cancer using 5-hydroxymethylcytosine signatures in circulating cell free DNA

et al. 2020

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“…Among the RUNX family, RUNX1T1 acted as an oncogene or as a tumor-suppressor gene (13)(14)(15). However, few studies have revealed the existence of RUNX1T1 mutations in various solid tumors, including CRC (6,8), hence the role of RUNX1T1 in tumor progression, particularly CRC, is currently not well understood.…”

Section: Runt-related Transcription Factor 1 (Runx1t1) Is Down-regulamentioning

confidence: 99%

“…Concordantly, the CCLE database also showed the down-regulation of RUNX1T1, particularly in CRC (ranked as the second most downregulated) compared to 36 other cancer types. RUNX1T1 has been suggested as a novel biomarker for the prediction of liver metastasis, since the protein was underexpressed in well-differentiated metastatic primary pancreatic endocrine tumors compare to non-metastatic primaries (13).…”

Section: Runt-related Transcription Factor 1 (Runx1t1) Is Down-regulamentioning

confidence: 99%

Runt-related Transcription Factor 1 (RUNX1T1) Suppresses Colorectal Cancer Cells Through Regulation of Cell Proliferation and Chemotherapeutic Drug Resistance

Alfayez

Vishnubalaji

Alajez

2016

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“…22 RUNX1T1 has also been reported in other cancer types. Nasir et al 23 revealed that RUNX1T1 might be a novel biomarker for the prediction of liver metastasis in primary pancreatic endocrine tumors. Since the dysregulated of TGFb/SMAD4 signaling may result in epigenetic silencing of RUNX1T1 , this suggests that RUNX1T1 is crucial for ovarian carcinogenesis.…”

Section: Discussionmentioning

confidence: 99%

Identification of Metastasis-Associated Genes in Triple-Negative Breast Cancer Using Weighted Gene Co-expression Network Analysis

Xie

Chen

et al. 2020

Evol Bioinform Online

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Triple-negative breast cancer (TNBC) is the most aggressive and fatal sub-type of breast cancer. This study aimed to identify metastasis-associated genes that could serve as biomarkers for TNBC diagnosis and prognosis. RNA-seq data and clinical information on TNBC from the Cancer Genome Atlas were used to conduct analyses. Expression data were used to establish co-expression modules using average linkage hierarchical clustering. We used weighted gene co-expression network analysis to explore the associations between gene sets and clinical features and to identify metastasis-associated candidate biomarkers. The K-M plotter website was used to explore the association between the expression of candidate biomarkers and patient survival. In addition, receiver operating characteristic curve analysis was used to illustrate the diagnostic performance of candidate genes. The pale turquoise module was significantly associated with the occurrence of metastasis. In this module, 64 genes were identified, and its functional enrichment analysis revealed that they were mainly associated with transcriptional misregulation in cancer, microRNAs in cancer, and negative regulation of angiogenesis. Further, 4 genes, IGSF10, RUNX1T1, XIST, and TSHZ2, which were negatively associated with relapse-free survival and have seldom been reported before in TNBC, were selected. In addition, the mRNA expression levels of the 4 candidate genes were significantly lower in TNBC tumor tissues compared with healthy tissues. Based on the K-M plotter, these 4 genes were correlated with poor prognosis of TNBC. The area under the curve of IGSF10, RUNX1T1, TSHZ2, and XIST was 0.918, 0.957, 0.977, and 0.749. These findings provide new insight into TNBC metastasis. IGSF10, RUNX1T1, TSHZ2, and XIST could be used as candidate biomarkers for the diagnosis and prognosis of TNBC metastasis.

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Palladin is a Reliable Marker of Liver Metastasis in Primary Pancreatic Endocrine Neoplasms

Cited by 9 publications

References 0 publications

Detection of early stage pancreatic cancer using 5-hydroxymethylcytosine signatures in circulating cell free DNA

Detection of early stage pancreatic cancer using 5-hydroxymethylcytosine signatures in circulating cell free DNA

Runt-related Transcription Factor 1 (RUNX1T1) Suppresses Colorectal Cancer Cells Through Regulation of Cell Proliferation and Chemotherapeutic Drug Resistance

Identification of Metastasis-Associated Genes in Triple-Negative Breast Cancer Using Weighted Gene Co-expression Network Analysis

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