Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 8 de 8
Filter
1.
Gut ; 72(12): 2344-2353, 2023 Nov 24.
Article in English | MEDLINE | ID: mdl-37709492

ABSTRACT

OBJECTIVE: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy. Differentiation from chronic pancreatitis (CP) is currently inaccurate in about one-third of cases. Misdiagnoses in both directions, however, have severe consequences for patients. We set out to identify molecular markers for a clear distinction between PDAC and CP. DESIGN: Genome-wide variations of DNA-methylation, messenger RNA and microRNA level as well as combinations thereof were analysed in 345 tissue samples for marker identification. To improve diagnostic performance, we established a random-forest machine-learning approach. Results were validated on another 48 samples and further corroborated in 16 liquid biopsy samples. RESULTS: Machine-learning succeeded in defining markers to differentiate between patients with PDAC and CP, while low-dimensional embedding and cluster analysis failed to do so. DNA-methylation yielded the best diagnostic accuracy by far, dwarfing the importance of transcript levels. Identified changes were confirmed with data taken from public repositories and validated in independent sample sets. A signature of six DNA-methylation sites in a CpG-island of the protein kinase C beta type gene achieved a validated diagnostic accuracy of 100% in tissue and in circulating free DNA isolated from patient plasma. CONCLUSION: The success of machine-learning to identify an effective marker signature documents the power of this approach. The high diagnostic accuracy of discriminating PDAC from CP could have tremendous consequences for treatment success, once the result from still a limited number of liquid biopsy samples would be confirmed in a larger cohort of patients with suspected pancreatic cancer.


Subject(s)
Carcinoma, Pancreatic Ductal , Pancreatic Neoplasms , Pancreatitis, Chronic , Humans , Pancreatic Neoplasms/diagnosis , Pancreatic Neoplasms/genetics , Pancreatic Neoplasms/pathology , Pancreatitis, Chronic/diagnosis , Pancreatitis, Chronic/genetics , Carcinoma, Pancreatic Ductal/diagnosis , Carcinoma, Pancreatic Ductal/genetics , DNA Methylation , DNA , Biomarkers, Tumor/genetics , Pancreatic Neoplasms
2.
Clin Cancer Res ; 29(8): 1535-1545, 2023 04 14.
Article in English | MEDLINE | ID: mdl-36516200

ABSTRACT

PURPOSE: Intraductal papillary mucinous neoplasm (IPMN) is a precursor of pancreatic ductal adenocarcinoma. Low-grade dysplasia has a relatively good prognosis, whereas high-grade dysplasia and IPMN invasive carcinoma require surgical intervention. However, diagnostic distinction is difficult. We aimed to identify biomarkers in peripheral blood for accurate discrimination. EXPERIMENTAL DESIGN: Sera were obtained from 302 patients with IPMNs and 88 healthy donors. For protein biomarkers, serum samples were analyzed on microarrays made of 2,977 antibodies. A support vector machine (SVM) algorithm was applied to define classifiers, which were validated on a separate sample set. For microRNA biomarkers, a PCR-based screen was performed for discovery. Biomarker candidates confirmed by quantitative PCR were used to train SVM classifiers, followed by validation in a different sample set. Finally, a combined SVM classifier was established entirely independent of the earlier analyses, again using different samples for training and validation. RESULTS: Panels of 26 proteins or seven microRNAs could distinguish high- and low-risk IPMN with an AUC value of 95% and 94%, respectively. Upon combination, a panel of five proteins and three miRNAs yielded an AUC of 97%. These values were much better than those obtained in the same patient cohort by using the guideline criteria for discrimination. In addition, accurate discrimination was achieved between other patient subgroups. CONCLUSIONS: Protein and microRNA biomarkers in blood allow precise diagnosis and risk stratification of IPMN cases, which should improve patient management and thus the prognosis of IPMN patients. See related commentary by Löhr and Pantel, p. 1387.


Subject(s)
Adenocarcinoma, Mucinous , Carcinoma, Pancreatic Ductal , MicroRNAs , Pancreatic Intraductal Neoplasms , Pancreatic Neoplasms , Humans , Pancreatic Intraductal Neoplasms/diagnosis , Pancreatic Intraductal Neoplasms/genetics , Pancreatic Intraductal Neoplasms/pathology , Adenocarcinoma, Mucinous/diagnosis , Adenocarcinoma, Mucinous/genetics , Adenocarcinoma, Mucinous/pathology , Pancreatic Neoplasms/diagnosis , Pancreatic Neoplasms/genetics , Pancreatic Neoplasms/metabolism , Pancreas/pathology , Carcinoma, Pancreatic Ductal/diagnosis , Carcinoma, Pancreatic Ductal/genetics , Carcinoma, Pancreatic Ductal/metabolism , MicroRNAs/genetics , Biomarkers , Hyperplasia , Risk Assessment
3.
Acta Biochim Pol ; 69(3): 637-677, 2022 Aug 23.
Article in English | MEDLINE | ID: mdl-35998284

ABSTRACT

Atopic dermatitis (AD) is a common skin condition that affects both children and adults. Adipokines have been shown to play a role in the pathogenesis of AD. In the current study, the association between adiponectin gene (ADIPOQ) polymorphisms and AD was investigated. In addition, changes in serum adiponectin levels in AD patients were examined. Restriction fragment length polymorphism-PCR technique was used to genotype ADIPOQ SNPs. The ELISA assay was used to measure serum Adiponectin levels. A total of 324 participants (162 AD and 162 healthy controls) were included in the study. The frequency of the GG genotype of rs3774261 was higher in the AD group (44.5%) than in the control group (32.7%, P<0.05). Regarding the rs2241766 SNP, the frequency of the GG genotype was higher in the AD group (10.5%) than in the control group (3.1%), while the frequency of the TT genotype was lower (P<0.001) in the AD group (35.8%) than the control group (57.4%). Moreover, the GG haplotype of rs3774261 and rs2241766 significantly increased the risk of AD by about 2-fold (P<0.05). Finally, serum adiponectin levels were lower in the AD group than in the control group (P<0.05). These results indicate an association of the rs2241766 and rs3774261 SNPs with the risk of developing AD among the population examined.


Subject(s)
Adiponectin , Dermatitis, Atopic , Adiponectin/genetics , Adult , Case-Control Studies , Child , Dermatitis, Atopic/genetics , Gene Frequency , Genetic Predisposition to Disease , Genotype , Humans , Polymorphism, Single Nucleotide
4.
Cancer Treat Rev ; 96: 102193, 2021 May.
Article in English | MEDLINE | ID: mdl-33865174

ABSTRACT

Pancreatic cancer is currently the most lethal tumor entity and case numbers are rising. It will soon be the second most frequent cause of cancer-related death in the Western world. Mortality is close to incidence and patient survival after diagnosis stands at about five months. Blood-based diagnostics could be one crucial factor for improving this dismal situation and is at a stage that could make this possible. Here, we are reviewing the current state of affairs with its problems and promises, looking at various molecule types. Reported results are evaluated in the overall context. Also, we are proposing steps toward clinical utility that should advance the development toward clinical application by improving biomarker quality but also by defining distinct clinical objectives and the respective diagnostic accuracies required to achieve them. Many of the discussed points and conclusions are highly relevant to other solid tumors, too.


Subject(s)
Biomarkers, Tumor/blood , Pancreatic Neoplasms/blood , Diagnosis, Differential , Early Detection of Cancer , Humans , Pancreatic Neoplasms/diagnosis
5.
Oncol Lett ; 19(4): 2957-2962, 2020 Apr.
Article in English | MEDLINE | ID: mdl-32218851

ABSTRACT

B-cell acute lymphoblastic leukemia (B-ALL) is a hematopoietic malignancy characterized by overproduction of immature B-lymphoblasts. B-ALL is the most common pediatric tumor and remains the leading cause of mortality in children and adolescents. Molecular and cytogenetic analyses of B-ALL revealed recurrent genetic and structural genomic alterations which are routinely applied for diagnosis, prognosis and choice of treatment regimen. The present case report describes a 4-year-old female diagnosed with B-ALL. GTG-banding at low resolution revealed an abnormal clone with 46,XX,?t(X;19)(q13;q13.3),der(9) besides normal cells. Molecular cytogenetics demonstrated a balanced translocation between chromosomes 16 and 19, and an unbalanced translocation involving chromosomes 5 and 9. A locus-specific probe additionally identified that the FUS gene in 16p11.2 was split and its 5' region was translocated to subband 19q13.33, whereas the 3' region of the FUS gene remained on the derivative chromosome 16. Overall, this complex karyotype included four different chromosomes and five break events. Further analyses, including array-comparative genomic hybridization, additionally revealed biallelic deletion of the tumor suppressor genes CDKN2A/B, and deletion of the NR3C1 and VPREB1 genes. The patient passed away under treatment due to sepsis.

6.
Exp Mol Pathol ; 113: 104364, 2020 04.
Article in English | MEDLINE | ID: mdl-31881200

ABSTRACT

Colorectal cancer (CRC) is the third most common carcinoma worldwide. Despite the progress in screening and treatment, CRC remains a leading cause of cancer-related mortality. Alterations to normal nucleic acid processing may drive neoplastic transformation of colorectal epithelium. DNA repair machinery performs an essential function in the protection of genome by reducing the number of genetic polymorphisms/variations that may drive carcinogenicity. Four essential DNA repair systems are known which include nucleotide excision repair (NER), base excision repair (BER), mismatch repair (MMR), and double-strand break repair (DSBR). Polymorphisms of DNA repair genes have been shown to influence the risk of cancer development as well as outcomes of treatment. Several studies demonstrated the association between genetic polymorphism of DNA repair genes and increased risk of CRC in different populations. In this review, we have summarized the impact of DNA repair gene polymorphisms on risk of CRC development and treatment outcomes. Advancements of the current understanding for the impact of DNA repair gene polymorphisms on the risk and treatment of CRC may support diagnostic and predictive roles in patients with CRC.


Subject(s)
Colorectal Neoplasms/genetics , DNA Repair/genetics , Genetic Association Studies , Genetic Predisposition to Disease , Polymorphism, Single Nucleotide/genetics , Humans , Risk Factors , Treatment Outcome
7.
Iran Biomed J ; 23(6): 412-22, 2019 11.
Article in English | MEDLINE | ID: mdl-31104418

ABSTRACT

Background: MUTYH DNA glycosylase germline mutations are linked to the recessive inheritance of multiple adenoma. Studies have revealed that germline mutations in this gene are ethnicity related. This study aimed to identify the germline mutations in MUTYH gene and determine their prevalence among Jordanian patients with colorectal adenoma. Methods: In this study, 150 colorectal adenoma patients and 150 cancer-free individuals with no previous history of polyps were recruited. Sanger DNA sequencing of the MUTYH gene (accession number NG_008189.1) was carried out using 3130xL Genetic Analyzer. Sequencing results were analyzed by ChromasPro, and mutational effects were predicted by online bioinformatics tools. Results: Two novel variants, g.87C>T and c.1264G>C, were identified. g.87C>T was also found in 60 (40%) patients and 10 (6.7%) controls. However, c.1264G>C was detected in 90 (60%) patients and 7 (4.7%) controls. Thus, a significant association was observed between these two variants and colorectal adenoma (p value for both variants was <0.0001). Moreover, the newly identified germline variant, c.1264G>C, was found to be significantly associated with colorectal adenoma transformation into malignancy (p < 0.0001). Conclusion: The data showed high prevalence of two germline mutations in MUTYH gene among Jordanians with colorectal adenoma, which may make them as potential early biomarkers for diagnosis of colorectal adenoma.


Subject(s)
Adenoma/genetics , Cell Transformation, Neoplastic/genetics , Cell Transformation, Neoplastic/pathology , Colorectal Neoplasms/genetics , DNA Glycosylases/genetics , Genetic Association Studies , Genetic Predisposition to Disease , Germ-Line Mutation/genetics , Adenoma/pathology , Adult , Base Sequence , Colorectal Neoplasms/pathology , DNA Mutational Analysis , Female , Gene Frequency/genetics , Humans , Jordan , Male , Middle Aged , Neoplasm Metastasis
8.
Exp Mol Pathol ; 102(3): 475-483, 2017 06.
Article in English | MEDLINE | ID: mdl-28506769

ABSTRACT

Colorectal cancer (CRC) is the third most prevalent cancer in the world. Globally, it has been estimated that about 1.4 million new cases of colorectal cancer are diagnosed every year. CRC is a multifactorial disease that arises due to genetics as well as epigenetic alterations in a number of oncogenes, tumor suppressor genes, mismatch repair genes, as well as cell cycle regulating genes in colon mucosal cells. These molecular alterations have been considered as potential CRC biomarkers because they can provide the physicians with diagnostic, prognostic and treatment response information. The goal is to identify relevant, cheap and applicable biomarkers that contribute to patient management decisions, resulting in direct benefits to patients. In this review, we will outline the most currently available and developing tumor tools, and blood molecular biomarkers. Also, we will illustrate their diagnostic, therapeutic and prognostic applications.


Subject(s)
Biomarkers, Tumor/blood , Colorectal Neoplasms/diagnosis , Early Detection of Cancer , Adenomatous Polyposis Coli Protein/genetics , Adenomatous Polyposis Coli Protein/metabolism , Colorectal Neoplasms/blood , Colorectal Neoplasms/genetics , DNA Methylation , Epigenomics , Feces/chemistry , Humans , Microsatellite Instability , Prognosis , Proto-Oncogene Proteins p21(ras)/genetics , Proto-Oncogene Proteins p21(ras)/metabolism , Treatment Outcome
SELECTION OF CITATIONS
SEARCH DETAIL
...