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Zinc Supplementation on Markers of Oxidative Stress in Post Operative Colorectal Cancer During Chemotherapy Cycles

ABSTRACT: Objective: To determine the oxidative stress during cycles of chemotherapy in patients after surgery for colorectal cancer, with or without oral zinc supplementation. Subjects: Twenty four adults from both genders participated in this study. All patients underwent stage II, III or IV colorectal cancer surgical resection and were starting chemotherapy in HCFMRP- USP. Patients were randomized into two groups. The first one (QTx-Zn Group, n=10) received 70 mg/d of zinc orally and the second one received placebo (QTx-Placebo Group, n=14) for 16 weeks. The study also included 30 healthy volunteers matched for age, gender and socioeconomic status, who received 70 mg/d of zinc supplement (Control-Zn Group, n=21) or placebo (Control-Placebo Group, n=9) for 16 weeks. Methods: The questionnaires about dietary intake (semiquantitative food frequency and food record), fatigue and quality of life (FACIT-F) and questionnaires that assess the side effects of chemotherapy (CTCAE) were evaluated. Anthropometry and bioelectrical impedance measurements were made. Blood collection was performed before the 1st, 2nd, 3rd and 4th cycles of chemotherapy (median duration of 21 days among cicles). Routine laboratory tests, vitamin E and markers anti and pro-oxidants (MDA, SOD, GPx and isoprostane) ere determined. The control group underwent the same procedures, except for chemotherapy. A longitudinal linear mixed effects model was adjusted for each of the variables of interest. The models were fitted using PROC MIXED of SAS version 9 (SAS, CARY, NC, USA). To analyze the association of categorical variables in the different items of the CTCAE, the investigators used the Fisher exact test. Results: The oral zinc supplementation was sufficient to increase plasma levels of zinc and did not alter food intake, body composition and routine laboratory evaluation of patients undergoing chemotherapy for colorectal cancer. Compared with QTx-Placebo Group, QTx-Zn Group showed lower prevalence of complaint on the salivary gland (17 vs. 75%). Fatigue (43 ± 6 vs. 36 ± 13) and quality of life (126 ± 160 vs. 116 ± 27) has become worst in the period between the 1st and 4th cycles of QTx in QTx-Placebo Group. When compared with QTx-Placebo Group, QTx-Zn Group had higher values of SOD before the 1st (2297 ± 503 vs. 1604 ± 352 USOD/g Hb), 2nd (2037 ± 515 vs. 1712 ± 417 USOD/g Hb) and 4th (2202 ± 323 vs. 1821 ± 360 USOD/g Hb) cycles of QTx. GPx values decreased in QTx-Zn Group before the 3rd cycle of QTx (48.5 ± 7.0 vs. 54.3 ± 2.3 mol NADPH/min/gHb). Conclusions: These data suggest that zinc supplementation reduces complaints related to the change in salivary gland, preserving the quality of life and preventing the worsening of fatigue. The increase in SOD can be attributed to zinc supplementation per se, whereas this mineral is a cofactor that endogenous antioxidant enzyme. The highest activity of SOD increases the production of H2O2, whose detoxification involves the participation of GPx, justifying its reduction. There were no changes in plasma levels of vitamin E, MDA and isoprostane during the study period. Considering the values of MDA and isoprostane, the data indicate that regardless of zinc supplementation, the lipid peroxidation of the cell membrane was unchanged during chemotherapy.

DISEASE(S): Chemotherapy,Colorectal Cancer,Colorectal Neoplasms

PROVIDER: 2164178 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:Background & aim: Micronutrient deficiencies, particularly those of zinc and selenium, are common in persons living with human immunodeficiency virus (PLWHIV), and have been associated with the development of non-AIDS related comorbidities, impaired immune system function, HIV disease progression and mortality. The implementation of intervention strategies on clinically stable long-term-treated PLWHIV could bring potential benefits on impeding or delaying the onset of non-AIDS associated comorbidities, improving their health status and overall quality of life. The aim of the present study is to analyze the effect of zinc and selenium supplementation on body composition, bone mineral density (BMD), lipids profile, glucose and immune system activation and function on PLWHIV on antiretroviral therapy (ART) without metabolic diseases. Methods: This pilot trial was composed of 60 PLWHIV on ART who were randomly assigned to either zinc, selenium, zinc + selenium supplementation or to a control group. Daily supplementation was prescribed during 6 months as follows: the zinc group received 30 mg of zinc gluconate, the selenium group received 200 mcg of selenium yeast and the zinc + selenium group received both micronutrients at the same doses and presentations. Individuals in the control group were followed during the same time without any nutritional supplementation. Body composition (weight, body mass index [BMI], fat mass and muscle mass), BMD, blood pressure, blood biochemical parameters (cholesterol, glucose and triglycerides), serum zinc and selenium concentrations, CD4+ T cell count and CD4+ and CD8+ T cells immune activation were assessed before and after supplementation. One individual of each supplementation group and one of the control group were analyzed for single cell transcriptomics before and after supplementation. Results: BMI (p=0.03), fat mass in kg (p=0.03) and percentage (p=0.02), as well as trunk fat (p=0.01), were significantly decreased after selenium supplementation. No changes were observed for body composition, BMD, biochemical determinations or blood pressure on the other intervention groups after supplementation (p>0.05 in all cases). The CD4+ T cells frequency and count significantly increased after selenium and zinc supplementation (p=0.03, p=0.05 respectively). CD4+ and CD8+ T-cell immune activation did not change after supplementation (p>0.05 in both cases). On the single cell transcriptome analysis, zinc and selenium supplementation significantly change de expression of genes associated with the function of naive and memory CD8+ T cells (adjusted p<0.05 in all cases). Conclusions: Selenium supplementation have beneficial effects on the body composition, while zinc and selenium supplementation increased CD4+ T cell replenishment of PLWHIV on long-term ART without metabolic diseases. Additionally, zinc and selenium supplementation modified the expression of genes associated with the function of naive and memory CD8+ T cells. Zinc and selenium supplementation are a simple, low-cost, and safe nutritional treatment that represents a complementary intervention to improve the health status and increase the quality of life of clinically stable PLWHIV without metabolic diseases. Registered: Under ClinicalTrails.gov identifier NCT03421314

Project description:The aim of this study was to compare the gene expression profile changes breast tumors after the treatment with Anthracyclines and Taxanes. To this end, an oligonucleotide microarray was performed (AffymetrixM-bM-^@M-^Ys HG-U133 Plus 2.0 array). This gene expression study was carried out on the biopsied tumor samples previous being treated with chemotherapy, and subsequently compared with themselves once treatment schedule ended. The post-chemotherapy biopsy was obtained from the surgical piece. The goal of this study was the finding of several genes related to apoptosis, proliferation, differentiation, survival and transformation-related genes and correlating their differences in expression with the degree of response to chemotherapy, determined by the Miller and Payne histological grading system. After informed consent, patients with a histologically confirmed diagnosis of breast cancer and scheduled chemotherapy treatment based on Anthracyclines and Taxanes (Treatment A: Epirubicin 90 mg/m2-Cyclophosphamide 600 mg/m2, 3 cycles bi-weekly and Paclitaxel 150 mg/m2-Gemcitabine 2500 mg/m2, 6 cycles bi-weekly M-BM-1 weekly Herceptin 4 mg/Kg during the first week, 2 mg/Kg for the remaining 11 cycles; Treatment B: Doxorubicin 60 mg/m2-Pemetrexed 500 mg/m2, 4 cycles tri-weekly and Docetaxel 100 mg/m2, 4 cycles tri-weekly; Treatment C: Doxorubicin 60 mg/m2-Cyclophosphamide 600 mg/m2, 4 cycles tri-weekly and Docetaxel 100 mg/m2, 4 cycles tri-weekly ) were recruited for this study. Pre-chemotherapy and post-chemotherapy biopsies were examined by a pathologist who determined the Miller & Payne grade for each patient. Matching pairs of pre-chemotherapy and post-chemotherpy samples were divided into 3 groups according to Miller & Payne grade: group of bad response (Miller & Payne grades 1 and 2), group of mid response (Miller & Payne grade 3) and group of good response (Miller & Payne grades 4 and 5). Gene expression analysis was performed in paired samples as follows: mid response group post-chemotherapy biopsy vs pre-chemotherapy biopsy (Mid final vs initial). For this assay were necessary 20 samples being chosen according to histopathologic criteria (Miller & Payne grade 3). Other comparisons in which this group of samples was involved include: Initial Good vs Mid, Initial Bad vs Mid, Final Bad vs Mid and Final Good vs Mid. This gene expression profiling was carried out making use of AffymetrixM-bM-^@M-^Ys GeneChip technology, with the AffymetrixM-bM-^@M-^Ys HG-U133 Plus 2.0 array from this provider. All the protocols and apparatus were recommended by Affymetrix. Total RNA from frozen mammary tumors was directly extracted by a RNeasy Mini kit and homogenized by QIAshredder columns under manufacturerM-bM-^@M-^Ys instructions. The quality and quantity of the obtained RNA, was checked out through agarose electrophoresis and later spectrophotometry at 260/280 nm. Biotinylated cRNA was synthesized following the IVT labeling kit from Affymetrix and purified by the GeneChip Sample Cleanup Module from Affymetrix. Once again, the quality and quantity of the obtained cRNA, was checked out through agarose electrophoresis and posterior spectrophotometry at 260/280 nm. After hybridization, slides were washed and scanned following the manufacturerM-bM-^@M-^Ys standard protocol. Intensity values were normalized by Robust Multichip Average method and subsequently these were filtered for remove the control sequences and those with a hybridization signal near to background. The spike controls were: BioB, BioC, BioD and Cre; because BioB was the less presented in the samples, it was used to estimate the sensitivity of the experiment. The housekeeping control was GAPDH. After non-supervised PCA analysis and clustering, gene expression statistical significances were identified by two regression models taking into account the pathologic response to chemotherapy and if the sample was obtained before or after chemotherapy treatment. Supervised PCA analysis and clustering were performed with processed data. Partek Genomics Suite v7.3.1 (Partek) software was employed for the statistic analysis and clustering.

Project description:The aim of this study was to compare the gene expression profile changes breast tumors after the treatment with Anthracyclines and Taxanes. To this end, an oligonucleotide microarray was performed (AffymetrixM-bM-^@M-^Ys HG-U133 Plus 2.0 array). This gene expression study was carried out on the biopsied tumor samples previous being treated with chemotherapy, and subsequently compared with themselves once treatment schedule ended. The post-chemotherapy biopsy was obtained from the surgical piece. The goal of this study was the finding of several genes related to apoptosis, proliferation, differentiation, survival and transformation-related genes and correlating their differences in expression with the degree of response to chemotherapy, determined by the Miller and Payne histological grading system. After informed consent, patients with a histologically confirmed diagnosis of breast cancer and scheduled chemotherapy treatment based on Anthracyclines and Taxanes (Treatment A: Epirubicin 90 mg/m2-Cyclophosphamide 600 mg/m2, 3 cycles bi-weekly and Taxol 150 mg/m2-Gemcitabine 2500 mg/m2, 6 cycles bi-weekly M-BM-1 weekly Herceptin 4 mg/Kg during the first week, 2 mg/Kg for the remaining 11 cycles; Treatment B: Doxorubicin 60 mg/m2-Pemetrexed 500 mg/m2, 4 cycles tri-weekly and Taxotere 100 mg/m2, 4 cycles tri-weekly; Treatment C: Doxorubicin 60 mg/m2-Cyclophosphamide 600 mg/m2, 4 cycles tri-weekly and Taxotere 100 mg/m2, 4 cycles tri-weekly ) were recruited for this study. Pre-chemotherapy and post-chemotherapy biopsies were examined by a pathologist who determined the Miller & Payne grade for each patient. Matching pairs of pre-chemotherapy and post-chemotherapy samples were divided into 3 groups according to Miller & Payne grade: group of bad response (Miller & Payne grades 1 and 2), group of mid response(Miller & Payne grade 3) and group of good response (Miller & Payne grades 4 and 5). Gene expression analysis was performed in paired samples as follows: bad response group post-chemotherapy biopsy vs pre-chemotherapy biopsy (Bad Final vs Initial). For this assay were necessary 28 samples being chosen according to histopathologic criteria (Miller & Payne grades 1 and 2). Of them, 26 samples were paired, 1 pre-chemotherapy sample and 1 post-chemotherapy sample from patients that experienced a bad response to chemotherapy were also included in this experimental series. Other comparisons in which this group of samples was involved include: Initial Bad vs Good, Initial Bad vs Mid, Final Bad vs Good and Final Bad vs Mid. This gene expression profiling was carried out making use of AffymetrixM-bM-^@M-^Ys GeneChip technology, with the AffymetrixM-bM-^@M-^Ys HG-U133 Plus 2.0 array from this provider. All the protocols and apparatus were recommended by Affymetrix. Total RNA from frozen mammary tumors was directly extracted by a RNeasy Mini kit and homogenized by QIAshredder columns under manufacturerM-bM-^@M-^Ys instructions. The quality and quantity of the obtained RNA, was checked out through agarose electrophoresis and later spectrophotometry at 260/280 nm. Biotinylated cRNA was synthesized following the IVT labeling kit from Affymetrix and purified by the GeneChip Sample Cleanup Module from Affymetrix. Once again, the quality and quantity of the obtained cRNA, was checked out through agarose electrophoresis and posterior spectrophotometry at 260/280 nm. After hybridization, slides were washed and scanned following the manufacturerM-bM-^@M-^Ys standard protocol. Intensity values were normalized by Robust Multichip Average method and subsequently these were filtered for remove the control sequences and those with a hybridization signal near to background. The spike controls were: BioB, BioC, BioD and Cre; because BioB was the less presented in the samples, it was used to estimate the sensitivity of the experiment. The housekeeping control was GAPDH. After non-supervised PCA analysis and clustering, gene expression statistical significances were identified by two regression models taking into account the pathologic response to chemotherapy and if the sample was obtained before or after chemotherapy treatment. Supervised PCA analysis and clustering were performed with processed data. Partek Genomics Suite v7.3.1 (Partek) software was employed for the statistic analysis and clustering.

Project description:The aim of this study was to compare the gene expression profile changes breast tumors after the treatment with Anthracyclines and Taxanes. To this end, an oligonucleotide microarray was performed (AffymetrixM-bM-^@M-^Ys HG-U133 Plus 2.0 array). This gene expression study was carried out on the biopsied tumor samples previous being treated with chemotherapy, and subsequently compared with themselves once treatment schedule ended. The post-chemotherapy biopsy was obtained from the surgical piece. The goal of this study was the finding of several genes related to apoptosis, proliferation, differentiation, survival and transformation-related genes and correlating their differences in expression with the degree of response to chemotherapy, determined by the Miller and Payne histological grading system. After informed consent, patients with a histologically confirmed diagnosis of breast cancer and scheduled chemotherapy treatment based on Anthracyclines and Taxanes (Treatment A: Epirubicin 90 mg/m2-Cyclophosphamide 600 mg/m2, 3 cycles bi-weekly and Taxol 150 mg/m2-Gemcitabine 2500 mg/m2, 6 cycles bi-weekly M-BM-1 weekly Herceptin 4 mg/Kg during the first week, 2 mg/Kg for the remaining 11 cycles; Treatment B: Doxorubicin 60 mg/m2-Pemetrexed 500 mg/m2, 4 cycles tri-weekly and Taxotere 100 mg/m2, 4 cycles tri-weekly; Treatment C: Doxorubicin 60 mg/m2-Cyclophosphamide 600 mg/m2, 4 cycles tri-weekly and Taxotere 100 mg/m2, 4 cycles tri-weekly) were recruited for this study. Pre-chemotherapy and post-chemotherapy biopsies were examined by a pathologist who determined the Miller & Payne grade for each patient. Matching pairs of pre-chemotherapy and post-chemotherapy samples were divided into 3 groups according to Miller & Payne grade: group of bad response (Miller & Payne grades 1 and 2), group of mid response (Miller & Payne grade 3) and group of good response (Miller & Payne grades 4 and 5). Gene expression analysis was performed in paired samples as follows: bad response group post-chemotherapy biopsy vs pre-chemotherapy biopsy (Bad Final vs Initial). For this assay were necessary 13 samples being chosen according to histopathologic criteria (Miller & Payne grades 4 and 5). Of them, 10 samples were paired and 3 pre-chemotherapy samples from patients that experienced a good response to chemotherapy were also included in this experimental series. Other comparisons in which this group of samples was involved include: Initial Bad vs Good, Initial Good vs Mid, Final Mid vs Good and Final Bad vs Good. This gene expression profiling was carried out making use of AffymetrixM-bM-^@M-^Ys GeneChip technology, with the AffymetrixM-bM-^@M-^Ys HG-U133 Plus 2.0 array from this provider. All the protocols and apparatus were recommended by Affymetrix. Total RNA from frozen mammary tumors was directly extracted by a RNeasy Mini kit and homogenized by QIAshredder columns under manufacturerM-bM-^@M-^Ys instructions. The quality and quantity of the obtained RNA, was checked out through agarose electrophoresis and later spectrophotometry at 260/280 nm. Biotinylated cRNA was synthesized following the IVT labeling kit from Affymetrix and purified by the GeneChip Sample Cleanup Module from Affymetrix. Once again, the quality and quantity of the obtained cRNA, was checked out through agarose electrophoresis and posterior spectrophotometry at 260/280 nm. After hybridization, slides were washed and scanned following the manufacturerM-bM-^@M-^Ys standard protocol. Intensity values were normalized by Robust Multichip Average method and subsequently these were filtered for remove the control sequences and those with a hybridization signal near to background. The spike controls were: BioB, BioC, BioD and Cre; because BioB was the less presented in the samples, it was used to estimate the sensitivity of the experiment. The housekeeping control was GAPDH. After non-supervised PCA analysis and clustering, gene expression statistical significances were identified by two regression models taking into account the pathologic response to chemotherapy and if the sample was obtained before or after chemotherapy treatment. Supervised PCA analysis and clustering were performed with processed data. Partek Genomics Suite v7.3.1 (Partek) software was employed for the statistic analysis and clustering.

Dataset Information

Zinc Supplementation on Markers of Oxidative Stress in Post Operative Colorectal Cancer During Chemotherapy Cycles

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