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Showing 5 results for Biomarkers

Amin Hassanzadeh Nemati , Seyed Kazem Bidoki ,
Volume 74, Issue 9 (12-2016)
Abstract

Background: Members of the tumor necrosis factor (TNF) superfamily of ligands and their receptors (TNFR) are critical regulators of the adaptive immune system. A proliferation inducing ligand (APRIL) is a member of tumor necrosis factor superfamily. APRIL was identified via database mining in 1998 by Hahne, et al. APRIL allows tumor cells to proliferate at a reasonable rate even in low serum. APRIL is abundantly expressed in many tumor cells and tumor tissues. Increasing level of APRIL expression related to replacement of -Arg-Lys-Arg-Arg- motif by -Ala-Lys-Arg-Ala- between amino acids 101-104 and thus abrogated APRIL processing. Previous studies have shown a correlation between APRIL expression with some autoimmune disease, breast cancer, stomach cancer, esophagus cancer and colorectal cancer. Herein, we explore correlation between serum APRIL with pancreatic cancer.

Methods: Our study is performed in digestive disease research institute (DDRI) of the Shariati Hospital in Tehran City and affiliated Hospital of Tehran University of Medical Sciences. In this study, concentrations of serum APRIL in sera (30 pancreatic cancer patients and 30 healthy controls) from November 2011 to November 2013 collected and level of a proliferation inducing ligand measured by ELISA technique. In this study used from SPSS software, version 22 (IBM SPSS, Armonk, NY, USA) to perform statistical data analysis.

Results: The case group measurement results compared with control groups results according to some characteristics such as age, smoking and, diabetes. ELISA analysis of APRIL measurements show that mean serum APRIL level of pancreatic cancer patients (7 ng/ml) was significantly higher than control group (5 ng/ml). The p-value of this study was 0.003.

Conclusion: Our results indicate that serum APRIL, as a potential biomarker, has a positive diagnosis and prognosis value for pancreatic cancer.


Rezvan Esmaeili , Tannaz Samadi , Nasrin Abdoli , Keivan Majidzadeh-Ardebili , Leila Farahmand , Malihe Salehi ,
Volume 74, Issue 10 (1-2017)
Abstract

Background: Researchers are always trying to find specific markers which express specifically in cancer. These specific markers help to diagnose and treat cancer without affecting normal tissues. Cancer-testis antigens are among the new promising biomarkers, especially for targeted therapy. These markers are specially expressed in testis. Various studies have been reported individual expression of these proteins in some tumor tissues. Since testis is an immune privilege organ, abnormal expression of the above mentioned genes raises immune response and the serum antibody against them (CT antigene) can be detected as a marker of cancer. However, understanding their differential role in normal and cancer tissues may introduce them as new candidates of cancer biomarkers. The aim of this study was to evaluate AKAP3 gene expression in breast cancer and its correlation with clinicopathologic features of the disease.

Methods: This study is a case-control study conducted at the Brest Cancer Research Center (BCRC)- Iran, between October 2014 to May 2016. AKAP3 gene expression was investigated with real-time PCR in breast samples including: 74 tumors, 73 normal adjacents and 15 normal tissues. On the other hand the correlation between gene expression, clinicopathologic features of the tumors and treatment regimen were evaluated.

Results: Statistical analysis showed a significant correlation between lack of AKAP3 expression, tumor size (P=0.01) and stage (P=0.04). The association between poor prognosis and the absence of AKAP3 expression in normal adjacent tissues were observed. Kaplan Meier plot showed a significant better disease free survival in the normal adjacent patients group that are expressed AKAP3.

Conclusion: It was observed that the better free survival in the normal adjacent group is because of the different AKAP3 expression, not treatment variations between two patient groups. As a result, AKAP3 can be a suitable candidate biomarker for breast cancer patients. Also, the study of gene expression in normal tissue of patients may be used to predict response to therapy.


Akram Pourshams, Bahram Kazemi , Sima Kalantari ,
Volume 75, Issue 11 (2-2018)
Abstract

Cancer is the major cause of death in the world and the rate of mortality is higher in developed countries. Therefore, lifestyle could be effective in promoting the cancer. The pancreatic tumors, are 8th cause of mortality due to cancer, which have several types, among them ductal adenocarcinoma is the most common and includes 85% of cases. Since, it is almost impossible to diagnosis the tumor in early stages of the disease, it contributes to high rates of mortality, although if it diagnosis in early stage and the surgery performed for them only 10-20% of patients will be survived. Metastasis occurs when the tumor is smaller than 2 cm in size and because the pancreas is located in the depth of abdomen, typically, it happens after tumor is spread to other organs. A combination of medical imaging, blood tests, and examination of tissue samples are usually made for diagnosis and based on the cancer stage, surgery, radiotherapy and chemotherapy are chosen as treatment options. Some rare genetic variations can cause pancreatic cancer and about 5-10% of cases are linked to inherited genes. However, major risk factors are including age, obesity, tobacco smoking and diabetes. Smoking counts for about 25% of cases, and the diabetes is the main symptoms of pancreatic cancer, which observed in about 80% of cases. But, it is still unclear whether diabetes is a predisposing factor in pancreatic cancer, or the outcome of tumor progression. Recent studies have shown that, diabetes is unique in pancreatic cancer which is not related to common types. Currently, CA 19-9 is the only reliable tumor marker for pancreatic cancer that its frequency also increases in non-bad conditions, such as pancreatitis and obstructive jaundice, so is not sensitive and specific enough for diagnosis of this cancer. Due to researches continue to find more specific markers. In this review the etiology of pancreatic cancer, diabetes associated with this type of cancer and significant biomarkers for diagnosis will be considered.

Masoomeh Babaei , Mehrdad Hashemi , Behzad Banieghbal ,
Volume 77, Issue 10 (1-2020)
Abstract

Background: Micro-Ribonocellic Acids (miRNA) are non-coding nucleic acids that are evolutionally protected and have a length of 24-20 nucleotides. MiRNAs control the expression of genes after transcription by mRNA degradation or translation inhibition. By blocking the oncogenic miRNAs and creating the necessary and functional miRNAs (tumor suppressor), these small regulatory RNAs can have therapeutic applications in cancer. The high mortality from lung cancer highlights the fact that the majority of patients are diagnosed at an advanced stage of the disease. The use of serum biomarkers can help early detection. MiRNA is more stable than mRNA. MiRNA expression in tissue, plasma, sputum, and urine samples can be detected by fixed formulation. In addition, miRNAs are important modulators of gene expression, diagnostic markers, and prognosis. Therefore, in the present study, the expression of miR-137 in the serum of patients with lung cancer was investigated.
Methods: In this descriptive and analytical study, 100 serum samples were collected from patients referring to Masih Daneshvari Hospital in Tehran from August 2017 to May 2018. Also, individual and clinical information were collected by a questionnaire and real-time polymerase chain reaction (RT-PCR) was used for the qualitative evaluation of changes in expression of miR-137.
Results: Data showed that there was no significant difference between the expression of miR-137 in serum samples of the first and second stages of the disease. While in the serum of patients with lung cancer who metastasized in the third and fourth stages, miR-137 expression decreased by 3.2 (P=0.42) and 6.8 times (P=0.003), respectively. Based on the results, it can be inferred that the measurement of miR-137 expression in lung cancer patients with concomitant reduction can be a sign of the progression of the disease.
Conclusion: Based on the results of this study, there was a significant relationship between miR-137 expression and lung cancer.

Solmaz Ohadian Moghadam , Erfan Amini , Mohsen Ayati , Hassan Jamshidian , Seyed Ali Moemeni , Farshad Sheybaee Moghaddam , Mohammad Reza Nowroozi ,
Volume 77, Issue 10 (1-2020)
Abstract

Background: Prostate cancer has been reported as a worldwide important kind of cancer and the second most common cause of cancer-related mortality among men. Prostate-specific antigen (PSA) serum level is one of the most important markers of prostate cancer diagnosis. While PSA level helps predict the risk of prostate cancer development, researchers still looking for ways to increase the accuracy of prognostic models. To increase the specificity of PSA and decrease of unnecessary biopsies and morbidity, PSA-related parameters such as PSA doubling time (PSADT) have been used. In this study, the relationship between this factor and the severity of prostate cancer was evaluated.
Methods: In this retrospective study, the data of patients who were subjected to transrectal ultrasound-guided (TRUS) biopsy of the prostate and referred to Imam Khomeini Hospital, Tehran, between 2009 and 2017 were reviewed. We enrolled the men with at least two consecutive elevated PSA level within three months to calculate PSADT. Based on the pathology report, primary and secondary Gleason score (GS) were determined. Correspondingly, considering GS, the patients were divided into two groups with high-grade and low-grade tumor (GS<7 considered as low-grade and GS>7 considered as high-grade tumor).
Results: Totally, 1712 cases of TRUS biopsy of the prostate were studied. Among them, 547 (32.3%) had prostate cancer, of whom 73 cases were eligible based on inclusion criteria and were consented to enroll in the study. According to the data obtained, we found a significant difference in PSADT between the two groups of patients with high-grade and low-grade malignancy (mean±SD PSADT, 9.8±14.2 vs. 16.1±14.9 respectively, P=0.004). Considering the seven months as the cut-off point for PSADT in determining malignancy, there was a significant difference between the two groups according to Fisher's exact test (P=0.01).
Conclusion: In our study, PSADT cut-off of 7 months provided the greatest accuracy for differentiation between low-grade and high-grade malignancy, and PSADT has acceptable accuracy for the diagnosis of high-grade tumors.


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