Yang, Ping

AbstractMicroRNA‐200 (miR‐200) has emerged as a regulator of the PI3K/AKT pathway and cancer cell growth. It was reported that miR‐200 can activate PI3K/AKT by targeting FOG2 (friend of GATA 2), which directly binds to the p85α regulatory subunit of PI3K. We found that miR‐200 was elevated in early stage lung adenocarcinomas when compared with normal lung tissues, and the expression of miR‐200 promoted the tumor spheroid growth of lung adenocarcinoma cells. We show that AKT activation was essential for such oncogenic action of miR‐200. However, depletion of FOG2 had little effect on AKT activation. By performing a reverse‐phase protein array, we found that miR‐200 not only activated AKT but also concomitantly inactivated S6K and increased IRS‐1, an S6K substrate that is increased on S6K inactivation. Depletion of IRS‐1 partially inhibited the miR‐200‐dependent AKT activation. Taken together, our results suggest that miR‐200 may activate AKT in lung adenocarcinoma cells through a FOG2‐independent mechanism involving IRS‐1. Our findings also provide evidence that increased miR‐200 expression may contribute to early lung tumorigenesis and that AKT inhibitors may be useful for the treatment of miR‐200‐dependent tumor cell growth. © 2015 IUBMB Life, 67(9):720–725, 2015

AbstractThis analysis was performed to create a scoring system to estimate the survival of patients with non‐small cell lung cancer (NSCLC). Data from 1274NSCLCpatients were analyzed to create and validate a scoring system. Univariate (UV) and multivariate (MV) Cox models were used to evaluate the prognostic importance of each baseline factor. Prognostic factors that were significant on bothUVandMVanalyses were used to develop the score. These included quality of life, age, performance status, primary tumor diameter, nodal status, distant metastases, and smoking cessation. The score for each factor was determined by dividing the 5‐year survival rate (%) by 10 and summing these scores to form a total score.MVmodels and the score were validated using bootstrapping with 1000 iterations from the original samples. The score for each prognostic factor ranged from 1 to 7 points with higher scores reflective of better survival. Total scores (sum of the scores from each independent prognostic factor) of 32–37 correlated with a 5‐year survival of 8.3% (95%CI = 0–17.1%), 38–43 correlated with a 5‐year survival of 20% (95%CI = 13–27%), 44–47 correlated with a 5‐year survival of 48.3% (95%CI = 41.5–55.2%), 48–49 correlated to a 5‐year survival of 72.1% (95%CI = 65.6–78.6%), and 50–52 correlated to a 5‐year survival of 84.7% (95%CI = 79.6–89.8%). The bootstrap method confirmed the reliability of the score. Prognostic factors significantly associated with survival on bothUVandMVanalyses were used to construct a valid scoring system that can be used to predict survival ofNSCLCpatients. Optimally, this score could be used when counseling patients, and designing future trials.

Abstract Children who are exposed to secondhand smoke (SHS) are faced with an increased risk of nicotine dependence later in life. We have previously shown that children exposed to SHS have an increased risk of lung cancer as adults. Furthermore, genetic variation plays a role in the susceptibility of individuals to lung cancer. The gene DRD1 mediates dopamine signaling following nicotine exposure, thus we reasoned that DRD1 may be related to lung cancer via modulation of the nicotine reward pathway. Our previous studies identified 4 SNPs (rs4809294, rs2292975, rs4861327, rs686) that were predicted to modulate a microRNA binding site and we assessed the association of these SNPs with lung cancer risk. Our current study investigated whether these SNPs were associated with nicotine dependence and whether this had a subsequent effect on lung cancer risk. We used the National Cancer Institute-Maryland lung cancer case-control study. Cases and controls were recruited from the greater Baltimore metropolitan area. We used ordinal logistic regression to examine the association between SNPs and nicotine dependence. Logistic regression adjusted for age, gender and smoking was used to assess the association between SNPs and lung cancer risk. No significant associations were found between genotypes in the 4 SNPs and nicotine dependence levels (n=1,450). Individuals with the heterozygous allele (AG) exposed to SHS during childhood had increased odds of lung cancer compared to those with the homozygous wild type allele (AA) for rs686 (OR=1.52, CI= 1.12, 2.07). Individuals with the homozygous variant allele (GG) exposed to childhood SHS had increased odds of lung cancer compared to individuals with the homozygous wild type allele (AA) (OR=2.11, CI= 1.45, 3.10). Individuals with the heterozygous allele (GA) and the highest levels of nicotine dependence who were also exposed to childhood SHS, had higher odds of lung cancer than those with the homozygous recessive allele (AA) (OR=3.50, CI=1.37, 8.96). Consistent with earlier findings, heterozygotes (AG) had increased odds of lung cancer but this was not statistically significant (OR=1.90, CI= 0.82, 4.40). To further explore this association, we examined the effect of race on this relationship. Caucasians with the heterozygous allele (AG), the highest levels of nicotine dependence and childhood SHS, had increased odds of lung cancer compared to those with the homozygous recessive allele (AA) for rs686 (OR=1.47, CI=1.06, 2.05). Caucasians with the homozygous allele (GG) who were exposed to childhood SHS, had higher odds of lung cancer compared to individuals with the homozygous recessive allele (AA) for rs686 (OR=1.84, CI=1.15, 2.98). No association was found among African Americans. Although none of the SNPs examined were found to be associated with nicotine dependence, it appears that variations in rs686 may modify an individual's susceptibility to lung cancer due to SHS exposure. Citation Format: Victoria A. Zigmont, Brid M. Ryan, Jin Jen, Ana I. Robles, Cain McClary, Kara Calhoun, Elise D. Bowman, Kirsi Vähäkangas, K. Leigh Greathouse, Wang Yi, Angela S. Wenzlaff, Bo Deng, Ping Yang, Ann G. Schwartz, Curtis C. Harris, Susan Olivo Marston. Childhood exposure to secondhand smoke, nicotine dependence, and DRD1 are associated with lung cancer risk. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2156. doi:10.1158/1538-7445.AM2014-2156

Purpose Distinguishing independent primary tumors from intrapulmonary metastases in non–small-cell carcinoma remains a clinical dilemma with significant clinical implications. Using next-generation DNA sequencing, we developed a chromosomal rearrangement–based approach to differentiate multiple primary tumors from metastasis. Methods Tumor specimens from patients with known independent primary tumors and metastatic lesions were used for lineage test development, which was then applied to multifocal tumors. Laser capture microdissection was performed separately for each tumor. Genomic DNA was isolated using direct in situ whole-genome amplification methodology, and next-generation sequencing was performed using an Illumina mate-pair library protocol. Sequence reads were mapped to the human genome, and primers spanning the fusion junctions were used for validation polymerase chain reaction. Results A total of 41 tumor samples were sequenced (33 adenocarcinomas [ADs] and eight squamous cell carcinomas [SQCCs]), with a range of three to 276 breakpoints per tumor identified. Lung tumors predicted to be independent primary tumors based on different histologic subtype did not share any genomic rearrangements. In patients with lung primary tumors and paired distant metastases, shared rearrangements were identified in all tumor pairs, emphasizing the patient specificity of identified breakpoints. Multifocal AD and SQCC samples were reviewed independently by two pulmonary pathologists. Concordance between histology and genomic data occurred in the majority of samples. Discrepant tumor samples were resolved by genome sequencing. Conclusion A diagnostic lineage test based on genomic rearrangements from mate-pair sequencing demonstrates promise for distinguishing independent primary from metastatic disease in lung cancer.

Abstract Lung cancer has a familial component which suggests a genetic contribution to its etiology. Given the strong evidence linking smoking with lung cancer, we studied miRNA-related loci in genes associated with smoking behavior. CHRNA, CHRNB gene families, CYP2A6, and DRD1 (dopamine receptor D1) were mined for SNPs that fell within the seed region of miRNA binding sites and then tested for associations with risk in a three-stage validation approach. A 3′UTR (untranslated region) SNP in DRD1 was associated with a lower risk of lung cancer among individuals exposed to secondhand smoke during childhood [OR, 0.69; 95% confidence interval (CI), 0.60–0.79; P < 0.0001]. This relationship was evident in both ever (OR, 0.74; 95% CI, 0.62–0.88; P = 0.001) and never smokers (OR, 0.61; 95% CI, 0.47–0.79; P < 0.0001), European American (OR, 0.65; 95% CI, 0.53–0.80; P < 0.0001), and African American (OR, 0.73; 95% CI, 0.62–0.88; P = 0.001) populations. Although much remains undefined about the long-term risks associated with exposure to secondhand smoke and heterogeneity between individuals in regard to their susceptibility to the effects of secondhand smoke, our data show an interaction between an SNP in the 3′UTR of DRD1 and exposure to secondhand smoke during childhood. Further work is needed to explore the mechanistic underpinnings of this SNP and the nature of the interaction between DRD1 and exposure to secondhand smoke during childhood. Cancer Prev Res; 7(12); 1210–8. ©2014 AACR.

AbstractThe development of adenocarcinoma of the lung is believed to proceed from in situ disease (adenocarcinoma in situ, AIS) to minimally invasive disease with prominent lepidic growth (minimally invasive adenocarcinoma, MIA), then to fully invasive adenocarcinoma (AD), but direct evidence for this model has been lacking. Because some lung adenocarcinomas show prominent lepidic growth (AD-L), we designed a study to address the lineage relationship between the lepidic (noninvasive) component (L) and the adjacent nonlepidic growth component representing invasive disease within individual tumors. Lineage relationships were evaluated by next-generation DNA sequencing to define large genomic rearrangements in microdissected tissue specimens collected by laser capture. We found a strong lineage relationship between the majority of adjacent lepidic and invasive components, supporting a putative AIS–AD transition. Notably, many rearrangements were detected in the less aggressive lepidic component, although the invasive component exhibited an overall higher rate of genomic rearrangement. Furthermore, a significant number of genomic rearrangements were present in histologically normal lung adjacent to tumor, but not in host germline DNA, suggesting field defects restricted to zonal regions near a tumor. Our results offer a perspective on the genetic pathogenesis underlying adenocarcinoma development and its clinical management. Cancer Res; 74(11); 3157–67. ©2014 AACR.

Abstract Background: The EML4-ALK fusion gene is more frequently found in younger, never smoking patients with lung cancer. Meanwhile, never smokers exposed to secondhand tobacco smoke (SHS) during childhood are diagnosed at a younger age compared with never smoking patients with lung cancer who are not exposed. We, therefore, hypothesized that SHS, which can induce DNA damage, is associated with the EML4-ALK fusion gene. Methods: We compared the frequency of the EML4-ALK fusion gene among 197 never smoker patients with lung cancer with and without a history of exposure to SHS during childhood at Mayo Clinic. Results: The EML4-ALK fusion gene was detected in 33% of cases from never smokers with a history of SHS exposure during childhood, whereas 47% of never smoking lung cancer cases without a history of childhood SHS exposure tested positive for the fusion gene. Conclusions: The EML4-ALK fusion gene is not enriched in tumors from individuals exposed to SHS during childhood. Impact: These data suggest that childhood exposure to SHS is not a significant etiologic cause of the EML4-ALK fusion gene in lung cancer. Cancer Epidemiol Biomarkers Prev; 23(7); 1432–4. ©2014 AACR.

Abstract To identify the genetic factors that influence overall survival in never smokers who have non–small cell lung carcinoma (NSCLC), we conducted a consistency meta-analysis study using genome-wide association approaches for overall survival in 327 never smoker patients with NSCLC from The University of Texas MD Anderson Cancer Center (Houston, TX) and 293 cases from the Mayo Clinic (Rochester, MN). We then conducted a two-pronged validation of the top 25 variants that included additional validation in 1,256 patients with NSCLC from Taiwan and assessment of expression quantitative trait loci (eQTL) and differential expression of genes surrounding the top loci in 70 tumors and matched normal tissues. A total of 94 loci were significant for overall survival in both MD Anderson and Mayo studies in the consistency meta-analysis phase, with the top 25 variants reaching a P value of 10−6. Two variants of these 25 were also significant in the Taiwanese population: rs6901416 [HR, 1.44; 95% confidence interval (CI), 1.01–2.06] and rs10766739 (HR, 1.23; 95%CI, 1.00–1.51). These loci resulted in a reduction of median survival time of at least eight and five months in three populations, respectively. An additional six variants (rs4237904, rs7976914, rs4970833, rs954785, rs485411, and rs10906104) were validated through eQTL analysis that identified significant correlations with expression levels of six genes (LEMD3, TMBIM, ATXN7L2, SHE, ITIH2, and NUDT5, respectively) in normal lung tissue. These genes were also significantly differentially expressed between the tumor and normal lung tissue. These findings identify several novel, candidate prognostic markers for NSCLC in never smokers, with eQTL analysis suggesting a potential biologic mechanism for a subset of these observed associations. Cancer Res; 73(13); 4028–38. ©2013 AACR.