Dataset Information

Influence of quercetin-rich food intake on microRNA expression in lung cancer tissues.

ABSTRACT: BACKGROUND:Epidemiologic studies have reported that frequent consumption of quercetin-rich foods is inversely associated with lung cancer incidence. A quercetin-rich diet might modulate microRNA (miR) expression; however, this mechanism has not been fully examined. METHODS:miR expression data were measured by a custom-made array in formalin-fixed paraffin-embedded tissue samples from 264 lung cancer cases (144 adenocarcinomas and 120 squamous cell carcinomas). Intake of quercetin-rich foods was derived from a food-frequency questionnaire. In individual-miR-based analyses, we compared the expression of miRs (n = 198) between lung cancer cases consuming high versus low quercetin-rich food intake using multivariate ANOVA tests. In family-miR-based analyses, we used Functional Class Scoring (FCS) to assess differential effect on biologically functional miR families. We accounted for multiple testing using 10,000 global permutations (significance at P(global) < 0.10). All multivariate analyses were conducted separately by histology and by smoking status (former and current smokers). RESULTS:Family-based analyses showed that a quercetin-rich diet differentiated miR expression profiles of the tumor suppressor let-7 family among adenocarcinomas (P(FCS) < 0.001). Other significantly differentiated miR families included carcinogenesis-related miR-146, miR-26, and miR-17 (P (FCS) < 0.05). In individual-based analyses, we found that among former and current smokers with adenocarcinoma, 33 miRs were observed to be differentiated between highest and lowest quercetin-rich food consumers (23 expected by chance; P(global) = 0.047). CONCLUSIONS:We observed differential expression of key biologically functional miRs between high versus low consumers of quercetin-rich foods in adenocarcinoma cases. IMPACT:Our findings provide preliminary evidence on the mechanism underlying quercetin-related lung carcinogenesis.

SUBMITTER: Lam TK

PROVIDER: S-EPMC3538163 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature

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Influence of quercetin-rich food intake on microRNA expression in lung cancer tissues.

Lam Tram K TK Shao Stephanie S Zhao Yingdong Y Marincola Francesco F Pesatori Angela A Bertazzi Pier Alberto PA Caporaso Neil E NE Wang Ena E Landi Maria Teresa MT

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20121003 12

<h4>Background</h4>Epidemiologic studies have reported that frequent consumption of quercetin-rich foods is inversely associated with lung cancer incidence. A quercetin-rich diet might modulate microRNA (miR) expression; however, this mechanism has not been fully examined.<h4>Methods</h4>miR expression data were measured by a custom-made array in formalin-fixed paraffin-embedded tissue samples from 264 lung cancer cases (144 adenocarcinomas and 120 squamous cell carcinomas). Intake of quercetin- ...[more]

PMID: 23035181

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Project description:Seventh generation Exiqon locked nucleic acid miRCURY LNA microarrays were used to profile the expression of microRNAs in whole blood of patients with lung cancer and of clinically relevant controls without the disease (individuals with non-cancerous lung nodule, at high risk for cancer because of heavy smoking, or with lung cancer treated by surgical resection). The goal was to examine if whole blood microRNAs can be used for developing a non-invasive assay to diagnose lung cancer. Using the PAXgene Blood miRNA kit (Qiagen, Valencia, CA, USA), total RNA was isolated from whole blood stabilized and stored in PAXgene Blood RNA tubes for 85 individuals with lung cancer, 59 individuals without the disease but at a high risk for the disease because of smoking, and 17 individuals with a non-cancerous pulmonary nodule. RNA was also isolated from 13 samples of blood of 12 of the lung cancer cases following surgery; blood samples were collected on two different days post-operatively for one of the cases (Sample names 157 and 160). The data-set here includes data (sample name 171) from a post-operative blood sample of an individual (who had the lung cancer removed by operation) for whom good array data was not obtained for RNA from a pre-operative blood sample. Two RNA samples were used to test technical duplicability of the microarray platform (pairs of sample names 59 & 192, and 175 & 182). Thus, a total of 162 unique individuals and 175 unique RNA samples are covered by this data-set. Isolated RNA was provided to Exiqon (Denmark) for microRNA quantification using microarrays. Quality and concentration of RNA in the samples was assessed by Nanodrop 2000 (Thermo Scientific, Wilmington, DE, USA) and Bioanalyzer 2100 (Agilent, Santa Clara, CA, USA) instruments. Sample RNA (500 ng) was labeled with the Cy3-like Hy3 dye, mixed with 500 ng of a human universal reference RNA (product number AM6000, Ambion, Austin, TX, USA) that was labeled with the Cy5-like Hy5 dye, and hybridized to 7th generation miRCURY locked nucleic acid oligonucleotide microarrays. Sixty-two artificial small RNAs were spiked-in each RNA sample before labeling. disease state: Lung cancer (before surgical resection of lung cancer): 1, 2, 4, 5, 6, 7, 8, 9, 10, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 61, 63, 64, 65, 67, 68, 69, 70, 81, 82, 85, 86, 87, 88, 89, 90, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 121, 122, 123, 124, 125, 126, 127, 149, 151, 153, 154, 156, 158, 165, 167, 174, 175, 176, 177, 179, 180, 181, 183, 184, 186, 187, 188, 189, 193 disease state: Non-cancerous lung nodule: 128, 129, 130, 131, 133, 134, 135, 136, 137, 140, 141, 142, 144, 145, 146, 148, 182, 190 disease state: None (after surgical resection of lung cancer): 155, 157, 159, 160, 161, 162, 163, 164, 166, 169, 170, 171, 172, 173 disease state: None (no current or past lung cancer or non-cancerous nodule): 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 118, 119, 120, 192 individual: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162

Project description:Background: MicroRNAs (miRNAs) are small noncoding RNAs about 22 nucleotides in length and regulate mRNA expression by binding to 3?UTR of mRNAs and causing translation repression or degradation of mRNAs. Recent studies have revealed that microRNAs play important regulatory roles in carcinogenesis. However, the complement of miRNAs involved in lung carcinogenesis and tumor biology is generally unknown. We used high-throughput sequencing technology to investigate miRNA expression profiles in a study of paired lung non-small cell carcinomas and remote noncancerous lung tissues. Methods: Total RNA was isolated by Trizol from patient lung tissues, including 1 non-pair of macroscopic lung adenocarcinoma tissue, and 20 pairs of macroscopic lung adenocarcinoma tissues and corresponding paired noncancerous lung tissues from the same patients, 1 non-pair of noncancerous lung tissues of squamous cell carcinoma patient, and 10 pairs of squamous cell carcinoma and corresponding paired noncancerous lung tissues from the same patients. Small RNA library of each total RNA was constructed with Illumina?s Small RNA Sample Prep Kit, followed by high-throughput sequencing. Statistical differences in microRNA expression between groups were analyzed by GenePattern software. Results: Using 2-fold threshold with FDR<0.05, there were ~90 miRNAs differentiated the lung cancers from nontumor lung tissues, both histologies. (a) The sets of microRNAs differentiating adenocarcinoma from paired nontumor tissues are largely different from those differentiating squamous tumors. There were 40 upregulated and 23 downregulated microRNAs differentiating adenocarcinoma Tvs.NT . For squamous cell, the numbers were 19 and 6, respectively. (b) In common between the two tumor histologies, there were six common upregulated microRNAs (miR-21, 135b, 200a, 494, 708. 1259), and four common down-regulated microRNAs (miR-144, 184, 516a, 1251). (c) Comparing our 22 miRNAs in common with Yanaihara/Harris Cancer Cell 2006 using spotted microarrays, we found similar direction of change in 19/22. (d) As a group, the top over-expressed miRNA in lung tumors (determined as fold change > 2, and comprising at least .01% of total miRNA) are able to predict mRNAs that are differentially expressed in those same samples (p=4.6x10^-6). Conclusions: This effort represents one of the more comprehensive surveys of the lung tumor micronome. (i) Tumor microRNA complement differs from far-adjacent lung; (ii) Histologies differ in their overall, and tumor-distinctive microRNA complement; (iii) Statistical correlations of individual microRNA:mRNA (putative) pairing from the same tissue sets are pending. (iv) Experimental confirmation of microRNA:mRNA targeting, using our microRNA affinity pull down assay is also pending.

Dataset Information

Influence of quercetin-rich food intake on microRNA expression in lung cancer tissues.

Publications

Influence of quercetin-rich food intake on microRNA expression in lung cancer tissues.

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