Clinical Cancer Research Targets Metabolism
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online

Clinical Cancer Research 14, 2326, April 15, 2008. doi: 10.1158/1078-0432.CCR-07-4457
© 2008 American Association for Cancer Research

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kim, J.-H.
Right arrow Articles by Park, Y.-M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kim, J.-H.
Right arrow Articles by Park, Y.-M.

Imaging, Diagnosis, Prognosis

Up-Regulation of Peroxiredoxin 1 in Lung Cancer and Its Implication as a Prognostic and Therapeutic Target

Joo-Heon Kim1, Paul N. Bogner2, Sun-Hee Baek1, Nithya Ramnath3, Ping Liang4, Hak-Ryul Kim1, Chris Andrews5 and Young-Mee Park1

Authors' Affiliations: Departments of 1 Cell Stress Biology, 2 Pathology, 3 Medicine, and 4 Genetics, Roswell Park Cancer Institute, and 5 Department of Biostatistics, University at Buffalo, Buffalo, New York

Requests for reprints: Young-Mee Park, Department of Cell Stress Biology, Roswell Park Cancer Institute, Buffalo, NY 14263. Phone: 716-845-3190; Fax: 716-845-8899; E-mail: young-mee.park{at}roswellpark.org.


    Abstract
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 
Purpose: Peroxiredoxin 1 and 2 are highly homologous members of the Prx (or Prdx) protein family. Prx1 and Prx2 are elevated in several human cancers, and this seems to confer increased treatment resistance and aggressive phenotypes. This study was undertaken to examine the expression profiles of Prx1 and Prx2 in non–small cell lung cancer (NSCLC), and to test their prognostic value in predicting patient survival.

Experimental Design: To gain insight into the regulatory mechanisms of Prx1 and Prx2 expression in NSCLC, their respective transcript profiles were examined in NSCLC cell lines from the NCI-60 panel Affymetrix database sets, and the promoter compositions of the two genes were investigated using computer-based multiple sequence alignment analyses. Immunohistochemical analyses of Prx1 and Prx2 were done on a total of 235 NSCLC specimens with stage I through IV disease. The expression profiles of Prx1 and Prx2 in tumor specimens, and their associations with survival, were investigated.

Results and Conclusion: The levels of prx1 transcript were higher than those of prx2 in NSCLC cell lines, and the upstream regulatory sequences of the two genes display striking differences. The relative risk of death increased as Prx1 expression levels increased (P = 0.036) in a multivariate Cox model, independent of other clinicopathologic variables associated with survival. No statistically significant correlation was observed between Prx2 and survival. These results suggest that Prx1 may possess unique functions and regulatory mechanisms in NSCLC which are not shared with Prx2, and that Prx1 may serve as a new prognostic biomarker and therapeutic target in NSCLC.


Lung cancer continues to be the leading cause of cancer-related mortality in the United States and worldwide, with an estimated 213,380 new cases in 2007, lung cancer is expected to kill more than 160,000 Americans this year (1). Non–small cell lung cancer (NSCLC) accounts for up to 80% of all lung cancer cases and includes adenocarcinoma, squamous carcinoma, large-cell carcinoma, and mixed types. The prognosis of patients with lung cancer is poor, and the 5-year survival rate of patients with NSCLC remains among the lowest of all major human cancers at less than 15%. Studies suggest that conventional therapies may have reached a therapeutic plateau (2). The current challenge is to identify new therapeutic targets and strategies, and to incorporate them into recent treatment regimens with the goal of improving therapeutic gain. Identifying reliable markers predictive of clinical outcome would also be desirable in order to guide clinicians in selecting new treatment options and monitoring the treatment response of patients.

Peroxiredoxin 1 and 2 are highly homologous members of the peroxiredoxin (also known as Prx or Prdx) protein family (3). Both Prx1 and Prx2 have been found to be elevated in several human cancer cells and tissues, and to influence diverse cellular processes including cell survival, proliferation, and apoptosis. Elevation of Prx1 has been shown in oral, esophageal, pancreatic, follicular thyroid, and lung cancers (412). Prx1 and Prx2 were found to be elevated in mesothelioma, breast, and head and neck cancers (1315). Elevated Prx1 was implicated in the chemotherapy resistance of breast cancer (16) and in radiotherapy resistance of lung cancer cells (17). On the other hand, down-regulation of Prx1 was shown to sensitize lung cancer cells to radiation and reduce metastasis (18, 19), and to increase the sensitivity of prostate cells to androgen ablation treatment (20). Similarly, overexpression of Prx2 rendered leukemia and stomach cancer cells resistant to various chemotherapeutic agents (21, 22), whereas down-regulation of Prx2 sensitized head and neck cancer cells to radiation and gastric carcinoma to cisplatin (23, 24). These studies suggest that both Prx1 and Prx2 enhance the aggressive survival phenotype of cancer cells, and confer an increased resistance to treatment. Although the cell survival–enhancing function of Prx1 and Prx2 has traditionally been attributed to their antioxidant activity, a molecular chaperone–like function of Prx1, in particular, is gaining increased attention in recent years (17, 20, 2527).

Human Prx1 and Prx2 share >90% homology in their amino acid sequences. Are they duplicative proteins and functionally redundant in NSCLC, or do they play unique roles in influencing tumor progression and treatment response? In this study, we show that levels of prx1 transcript are consistently higher than those of prx2 in all nine NSCLC cell lines included in the well-characterized Affymetrix NCI-60 panel database sets, indicating that regulation of their respective expression may differ in NSCLC. Our results, obtained from computer-based multiple sequence alignment analyses, support this notion, showing dramatic differences in the promoter compositions of the human prx1 and prx2 genes. Upstream sequence analyses also revealed that the characteristic regulatory elements and transcription factor binding sites (TFBS) present in the human prx1 and prx2 promoters are markedly conserved across species. Furthermore, the expression profiles of Prx1 and Prx2 and their respective associations with clinicopathologic variables were clearly distinguishable in our retrospective immunohistochemical study of 235 NSCLC patients with stage I through IV disease. Our results also show that Prx1 possesses prognostic utility for assessing patient survival in NSCLC. The results obtained from the current study corroborate our previous finding that Prx1 is an independent prognostic factor for poor survival outcome in stage I NSCLC (28). No statistically significant correlation was observed between Prx2 and survival.


    Materials and Methods
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 
Patients and clinicopathologic data collection. Institutional review board approval was obtained to investigate the immunohistochemical expression of Prx1 and Prx2 in stages I to IV NSCLC. A total of 1,528 patients were diagnosed and received their first line treatment at Roswell Park Cancer Institute between January 1993 and March 2002. Of these, staging and clinicopathologic information was complete for 633 patients. Either specimen blocks or follow-up records were not available for 398 out of the 633 patients. For the remaining 235 patients, we were able to retrieve suitable specimen blocks as well as clinicopathologic information and follow-up data which were used for the current study. Information regarding patient demographics, smoking history, tumor stage, histopathologic diagnosis, grade of differentiation, date of diagnosis, and date of death or last follow-up was collected as previously described (28). Performance status was based on the Eastern Cooperative Oncology Group scale (0, no symptoms; 1, minor symptoms; 2, symptoms present, out of bed or chair for more than 50% of waking hours; 3, symptoms present, in bed or chair for more than 50% of waking hours). The presence or absence of weight loss was based on weight change reported at initial presentation (±5% in 3 months). Tumors were staged pathologically according to the revised international system (29), and histologically classified according to the WHO criteria for lung and pleural tumors (30). The cutoff date for vital status analysis was December 2006.

Specimen preparation and immunohistochemistry. Tissue specimens obtained from diagnostic or therapeutic procedures were fixed in neutral buffered formalin (10% vol/vol formalin in water; pH 7.4) and embedded in paraffin wax. Serial sections of 4-µm thickness were cut and mounted on charged glass slides (Superfrost Plus, Fisher Scientific). Immunohistochemistry conditions for Prx1 and Prx2 were optimized and evaluated by two independent pathologists (J-H. Kim and P.N. Bogner). In brief, for both Prx1 and Prx2, sections were microwaved twice for 10 min in citrate buffer (pH 6.0) for antigen retrieval. The sections were then treated with 3% hydrogen peroxide in methanol to quench endogenous peroxidase activity, followed by incubation with 1% bovine serum albumin to block nonspecific binding. Rabbit polyclonal antibodies against Prx1 and Prx2 (both from Lab Frontier, Korea) were used at a dilution of 1:2,000. The avidin-biotin detection method was used on a Ventana Automated System (Ventana Medical Systems). An irrelevant rabbit antiserum served as a negative control.

Assessment of immunostaining and statistical analysis. Each slide was evaluated for Prx1 or Prx2 immunoreactivity using a semiquantitative scoring system for both the intensity of the stain and the percentage of positive malignant cells. Prx1 immunoreactivity was observed primarily in the cytosol, although nuclear expression was also noted in some malignant cells. Prx2 immunoreactivity was predominantly in the cytosol. The intensity of cytosolic Prx1 and Prx2 staining was coded as: 0, lower than the adjacent normal-appearing bronchial epithelium; 1, similar to the adjacent bronchial epithelium; or 2, stronger than the adjacent bronchial epithelium. The percentage of cancer cells displaying a stronger staining intensity compared with the adjacent bronchial epithelium was categorized as 1 (0-24% cancer cells stained), 2 (25-49% cancer cells stained), 3 (50-74% cancer cells stained), or 4 (75-100% cancer cells stained). For Prx1 staining, 9 cases were grade 0, 57 cases were grade 1, and 169 cases were grade 2. Out of 169 cases of grade 2 specimens, 20 cases fall into category 1, 51 cases to category 2, 67 cases to category 3, and 31 cases to category 4. Sixty-six cases displaying either grade 0 (9 cases) or 1 (57 cases) were categorized as "1". For Prx2 staining, 28 cases were grade 0, 58 cases were grade 1, and 148 cases were grade 2. Out of 148 grade 2 specimens, 43 cases were category 1, 57 cases were category 2, 40 cases were category 3, and 8 cases were category 4. Eighty-six cases belonging to either grade 0 (28 cases) or 1 (58 cases) were categorized as 1. The association between Prx1 and Prx2 staining categories and ordinal measures was analyzed using Kendall's {tau}. The association between Prx1 and Prx2 staining categories and nominal variables was analyzed using Kruskal-Wallis's rank sum test. Cox proportional hazards models were used for multivariate analyses of patient survival to adjust for potential confounding factors including tumor stage, performance status, and age. Survival curves for the patients based on the Prx1 and Prx2 staining categories were generated using the Efron method for handling ties. To confirm and further validate goodness-of-fit, additional stratified and unstratified analyses were done. A one-sided log-rank trend test was used to evaluate the statistical significance of differences in survival distribution among Prx1 and Prx2 staining categories and other covariates. Statistical analyses were conducted using the R software package (31).6 Results were considered statistically significant if P < 0.05.


    Results
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 
The levels of prx1 transcript are higher than those of prx2 in human NSCLC cell lines. In order to understand the regulation of human prx1 and prx2 gene expression in NSCLC, we examined the transcript profiles of prx1 and prx2 genes in NSCLC cell lines. Several Affymetrix database sets are available for the 60 human cancer cell lines (the NCI-60) used by the National Cancer Institute's Developmental Therapeutics Program to screen chemically defined compounds and natural product extracts (3235). The NCI-60 lines have been characterized more extensively than any other set of cells in existence, and their molecular databases are publicly available (36). A total of nine NSCLC cell lines are included in the NCI-60 panel. We extracted three Affymetrix transcript data sets available online7 in the CellMiner program package: the original transcript profile data set on the HU-6800 chip and the two new NCI-60 transcript profile data sets on the HG-U95 and the HG-133A chips. Our results showed that levels of prx1 transcript were consistently higher than those of prx2 in all nine NSCLC cell lines in these data sets, although the levels of prx1 transcript varied among cell lines. Figure 1 displays the levels of prx1 and prx2 transcripts obtained from the HU-6800 data set.


Figure 1
View larger version (14K):
[in this window]
[in a new window]
[Download PPT slide]
 
Fig. 1. Comparison of prx1 and prx2 transcripts in the NCI-60 panel of human NSCLC cell lines. Columns, levels of prx1 and prx2 transcript in the nine NSCLC cell lines included in the NCI-60 panel. Y-axis, intensity values obtained from the Affymetrix 6,800-feature set arrays.

 
Promoter structure and composition of prx1 and prx2 genes display striking differences. The analysis of prx1 and prx2 transcript levels indicated that the regulatory mechanisms of prx1 and prx2 gene expression may differ in NSCLC. When we examined the chromosome ideograms and the genomic location of prx1 and prx2 genes using the UCSC Genome Browser,8 it was apparent that prx1 has a much longer upstream region compared with prx2. The human prx1 gene is localized to chromosome 1p34 with ~30 kb of upstream regions shared with the Akr1a1 gene in a head to head orientation. The human prx2 gene is localized to chromosome 13q12 with a much shorter upstream region (~5 kb) shared with its neighboring gene, Rnaseh2a, also in a head to head orientation. The genomic regions containing prx1 and prx2 seemed to be conserved syntenic (i.e., same genes and orders in the corresponding chromosomal loci), at least across mammalian species.

To further explore the molecular basis of prx1 and prx2 gene expression, we carried out computer-based upstream sequence analyses for each gene. The genomic DNA sequences upstream of the first exon of prx1 (15 kb) and prx2 (5 kb) genes were retrieved from the UCSC genome browser9 in Fasta format. Considering that critical regulatory sequences are likely to be conserved across species, multiple sequence alignment analyses were done using upstream noncoding sequences from human, mouse, and rat. First, in order to identify conserved noncoding sequences (CNS), four data sources and methods were used, which were DIALIGN (37),10 mVISTA (38),11 Vertebrate Multiz Alignment and PhastCons Conservation (39), and ESPERR Regulatory Potential (40). The results of these four analyses for the upstream regions of each gene were compared, and the regions of CNS supported by more than two methods were chosen as the reliable CNS (Fig. 2 , sequences shown with gray highlight). The selected CNS regions for prx1 or prx2 gene were then subjected to the TFBS analysis using a locally installed Match program of TRANSFAC Professional. In order to minimize false positives and negatives, TFBS were selected based on the stringent criteria fulfilling both the core match score of 1 and a matrix match score >0.9.


Figure 2
View larger version (94K):
[in this window]
[in a new window]
[Download PPT slide]
 
Fig. 2. Multiple sequence alignment analyses of 5' upstream sequences of prx1 and prx2 genes. The CNS in the 15 kb upstream of prx1 gene (A) or the 5 kb upstream of prx2 gene (B) were analyzed to identify TFBS. Sequences with gray highlights, CNS regions supported by more than two types of multiple sequence alignment analyses. The TFBS identified in the highlighted regions are listed on the right side of the corresponding sequences. TFBS with multiple hits in the region are underlined. Sequences intervening the CNS regions were deleted ("......//......"). Numbers, positions of each CNS region in relation to the transcription initiation site; boldface, conserved CpG islands; sequences in uppercase, regions of the first exon.

 
As shown on the right hand side of the corresponding sequences in Fig. 2, the composition of TFBS from prx1 (panel A) and prx2 (panel B) in the selected CNS regions showed marked differences. The characteristic TFBS identified for each gene were also found to be highly conserved across species. The prx1 gene seems to possess more TFBS in its CNS regions, and among them, Oct-1, CREB, ATF, AR, GR, C/EBP, SOX, LEF1, TBP, MZF-1, v-Myb, YY1, p53, and AP-1 were featured repeatedly across species. The presence of the Nrf2 site in the prx1 CNS was also noted, the significance of which on the transcriptional activation of the prx1 gene was reported previously (41). In contrast, the TFBS detected in prx2 CNS regions seemed to be mainly AP-2, AP-4, TATA, E2F-1, E2F, and Nkx2-5. Promoter composition analyses support the hypothesis that the transcriptional regulatory mechanisms of prx1 and prx2 expression may differ significantly. A possible epigenetic mechanism affecting either genes' expression was explored by analyzing the presence of CpG islands (42). As shown in Fig. 2, the prx1 and prx2 genes possess CpG islands (sequences shown in boldface) within their core promoter regions, indicating that both genes may be subjected to epigenetic regulation.

Immunohistochemical analysis of Prx1 and Prx2 expression profiles in NSCLC tumor specimens. There is little information regarding the expression profile of Prx1 and Prx2 in NSCLC. We carried out immunohistochemical analyses and comparatively evaluated the expression patterns of Prx1 and Prx2 in tumor tissues obtained from 235 NSCLC patients representing the spectrum of pathologic stages I to IV disease. The distribution of histopathologic diagnoses by pathologic disease stage of the 235 NSCLC patients is shown in Table 1 . There was no association between stage and histopathologic subtype of NSCLC (P = 0.46). Although elevated levels of Prx1 and Prx2 in cancer cells were detectable in nearly all cases, trends in Prx1 and Prx2 staining in tumors seemed to differ when they were grouped by the percentage of positively stained tumor cells (Table 2 ). Whereas a large number of tumor tissues (129 cases) contained <25% of Prx2-stained cancer cells, only eight cases contained ≥75% of Prx2 positive cancer cells. On the other hand, tumors contained a higher proportion of Prx1 positive cancer cells with a total of 98 cases displaying ≥50% of Prx1 staining, of which 31 cases contained ≥75% of Prx1-positive cancer cells. The distributions of Prx1 and Prx2 staining categories in tumors were significantly different (P < 0.001) based on the Wilcoxon signed rank test.


View this table:
[in this window]
[in a new window]

 
Table 1. Distribution of pathologic stage by tumor histopathology

 

View this table:
[in this window]
[in a new window]

 
Table 2. Number of tumor specimens by Prx1 and Prx2 staining categories

 
Association of Prx1 and Prx2 expression levels with clinicopathologic characteristics. The clinical and pathologic characteristics of the 235 patients investigated in the current study are detailed in Table 3 . The median age of the patients at the time of diagnosis was 64.4 years (range, 35.2-88.2 years). A total of 103 patients had stage I, 46 had stage II, and 86 had stages III or IV disease. Approximately 56% of the patients (132) were men, and 44% (103) were women. Ethnically, the majority of patients were white (222 cases), whereas 12 were African American and 1 was Hispanic. Forty of the 235 patients never smoked, 195 were active or past smokers. The Eastern Cooperative Oncology Group performance status score was 0 in 155 patients, 1 in 69 patients, 2 or 3 in 10 patients, and information was not available for 1 patient. Thirty-one patients had lost >5% of their body weight in the 3 months before diagnosis, 203 had stable weight, and data was unavailable for 1 patient. The histopathologic distribution of the 235 patients included 125 adenocarcinomas, 85 squamous carcinomas, 15 large cell carcinomas, and 10 mixed NSCLC. In terms of tumor grade, 19 cases were well-differentiated, 78 were moderately differentiated, and 129 cases were poorly differentiated.


View this table:
[in this window]
[in a new window]

 
Table 3. Clinicopathologic variables and the expression status of Prx1 and Prx2

 
When we tested for correlations between Prx1 expression levels and the clinicopathologic variables potentially predictive of prognosis, Prx1 expression levels were found to correlate significantly with the grade of tumor differentiation. Poorly differentiated tumors had a higher percentage of Prx1-stained cells (P = 0.016). No other variables showed statistically significant associations with Prx1 expression levels. Consistent with our previous findings (28), no correlation was observed between Prx1 expression levels and smoking history (P = 0.36), suggesting that the elevated expression of Prx1 in NSCLC is unlikely to result from a general stress response to tobacco smoke exposure. On the other hand, when the correlations between Prx2 expression levels and the clinicopathologic factors were tested, the presence of smoking history and gender were found to correlate significantly with Prx2 expression levels. Higher levels of Prx2 expression correlated significantly with the absence of a smoking history (P = 0.03) and also with female gender (P = 0.05) in this patient cohort. These results are congruent with the results of the NSCLC cell lines and promoter composition analyses, and suggest that the mechanisms of prx1 and prx2 gene expression in NSCLC differ significantly between the two genes.

Prx1 expression level is an independent prognostic factor for overall survival. A multivariate Cox analysis was carried out to assess the prognostic value of Prx1 and Prx2 levels on patients' survival. Survival was defined as the time from the date of diagnosis to the date of last follow-up or death from any cause. All other potentially prognostic factors including age, tumor stage, and grade were adjusted for in this analysis. Our results showed that levels of Prx1 expression significantly correlate with overall survival; the hazards ratio increased progressively as the percentage of Prx1-stained cancer cells increased (P = 0.036; Table 4 ). Using patients with tumors containing <25% stained cancer cells as the reference group (risk = 1), the relative risk of death was 1.18 for patients with tumors containing 25% to 49% of Prx1-stained cancer cells, 1.27 with tumors containing 50% to 74% of Prx1-stained cancer cells, and 1.52 with tumors containing ≥75% of Prx1-stained cancer cells. Conversely, the relative risk of death seemed to decrease progressively as the levels of Prx2 expression increased. Although it did not reach statistical significance (P = 0.099), the relative risk of death was 0.88 in patients with tumors containing 25% to 49% of Prx2-stained cancer cells, 0.77 with tumors containing 50% to 74% of Prx2-stained cancer cells, and 0.75 with tumors containing ≥75% of Prx2-stained cancer cells compared with those containing <25% of Prx2-stained cancer cells. P values for all other clinicopathologic variables except for age, tumor stage, and performance status were >0.05 in correlation with overall survival. Survival curves for the patients were generated based on the Prx1 staining categories, and are displayed in Fig. 3 . Cumulative overall survival curves of patients were significantly split by Prx1 staining categories (P = 0.036).


View this table:
[in this window]
[in a new window]

 
Table 4. Cox proportional hazards model analysis with Prx1 and Prx2 for overall survival

 

Figure 3
View larger version (11K):
[in this window]
[in a new window]
[Download PPT slide]
 
Fig. 3. Adjusted Cox regression survival curves for Prx1 expression levels. Survival curves were adjusted for tumor stage, performance status, weight loss, gender, histopathology, and smoking history, and plotted for the Prx1 staining categories. Overall survival curves for patients whose Prx1 expression levels belonging to the staining category <25%, 25% to 49%, 50% to 74%, or ≥75% were estimated by maximizing the Cox partial likelihood. A one-sided log-rank trend test with equidistant spacing of categories was used to evaluate the statistical significance of differences in survival distribution among Prx1 staining categories.

 

    Discussion
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 
Lung cancer continues to be the number one cause of cancer-related mortality. In order to improve the outcome for patients, advances in the understanding of the pathophysiology of lung cancer, and identification of proteins and molecular pathways that affect key proliferation and survival mechanisms are needed. Accumulated evidence suggests that Prx1 and Prx2 may be important components in these mechanisms. No previous study, however, has undertaken an investigation of the prognostic value of Prx1 and Prx2 in NSCLC. In this study, we showed that a high level of Prx1 expression is an independent and clinically significant prognostic factor for poor survival outcome in patients with NSCLC. The relative risk of death assessed using a multivariate Cox proportional hazards model increased in NSCLC patients as Prx1 expression levels increased (P = 0.036), independent of clinicopathologic variables potentially predictive of patient survival. No significant correlation was observed between Prx2 levels and survival. Our results on NSCLC cell lines and tumor tissues also indicated that the regulation of prx1 and prx2 gene expression might differ significantly. Computer-based promoter composition analyses further support the existence of separate and unique regulatory mechanisms distinguishing the expression profiles of Prx1 and Prx2 in NSCLC. The current findings, together with the previous results reported by us and others, suggest that Prx1 may be a new player in mediating the malignant progression of NSCLC.

Although the cell survival–enhancing function of Prx1 has traditionally been attributed to its antioxidant activity, the physiologic significance of this function is unclear because it is highly susceptible to inactivation by oxidative stress. Studies suggest that Prx1 may act as a molecular chaperone, and modulate the activities of growth regulatory proteins with an outcome favoring cell survival (17, 20, 25, 26). Based on the results from a combination of mutagenesis, biochemical, and X-ray crystallographic studies, we recently reported that despite >90% homology in their amino acid sequences, human Prx1 and Prx2 proteins are structurally and functionally distinguishable (27). Furthermore, results obtained from purified human Prx1 and Prx2 proteins showed that Prx1 is highly efficient as a molecular chaperone, whereas Prx2 is not (27). These findings are consistent with the behavior of Prx1 in interacting physically with various cellular proteins. The interaction of Prx1 with c-Abl, c-Myc, and the macrophage inhibiting factor, MIF, has been shown using a yeast two-hybrid system (4345). The wide range of effects attributed to Prx1 in various cells and organisms may in part be explained by the physical interaction of Prx1 with various growth regulatory proteins (4347). As studies of Prx1 advance, the spectrum of molecules interacting with Prx1 is likely to expand. Although the functional consequences of these interactions are likely to manifest in a cell type–, tissue context–, and/or disease site–dependent manner, and thus need to be interpreted with caution, inhibiting Prx1 may provide an approach for the simultaneous targeting of multiple proteins and molecular pathways that contribute to tumor progression and treatment response.

The NF-E2–related factor 2, Nrf2, belongs to the Cap‘n’Collar family of basic region-leucine zipper (bZip) transcription factors. The human prx1 gene was recently reported to be a target of Nrf2 (41). It is noteworthy that studies by Padmanabhan et al. (48) and Singh et al. (49) suggest that occurrence of genetic abnormalities in the Nrf2 repressor, Keap1, may be a frequent event in lung cancer. Based on the results from several cell lines and tumor tissues, these authors suggested that the genetic defects of Keap1 might lead to the constitutive nuclear accumulation and activation of Nrf2 in lung cancer. Further research is necessary to determine whether loss of heterozygosity and/or mutation in the Keap1 genomic loci contributed to the elevation of Prx1 in the NSCLC tissues investigated in the current study. As illustrated in our promoter composition analysis of the prx1 and prx2 genes, however, it is highly likely that in addition to Nrf2, various other transcription factors may be involved in coordinating and relaying different cellular signals to turn on/off the transcriptional machinery of the prx1 (or prx2 gene), as is true for other genes involved in cell growth and survival regulation. The results of our promoter composition analyses may serve as a basis upon which the molecular regulatory mechanisms of prx1 and prx2 expression in NSCLC and other human malignancies can be unraveled.

Aberrant cytosine methylation of promoter CpG islands and regulatory elements of genes, and/or changes in histone acetylation, are often involved in silencing gene expression in cancer cells. The possible involvement of aberrant methylation in prx2 expression was reported in malignant melanoma (50). Based on the methylation-sensitive representational difference analysis, it was shown that Prx2 is expressed in normal melanocytes, and its expression is lost in melanomas with methylation. The loss of expression was restored by treatment of melanomas with a demethylating agent (5-aza-2'-deoxycytidine). These findings led the authors to suggest that silencing of Prx2 might be involved in melanoma progression.

Our results also indicate that low levels of Prx2 might be associated with poor survival outcome in patients with NSCLC. Although it did not reach statistical significance at the level of 0.05, the relative risk of death decreased as the Prx2 levels increased with P = 0.099. The median survival of patients with <25% Prx2 staining category was shorter by 13 months than those in the combined categories with ≥25% positively stained cancer cells (40 versus 53 months), whereas the median survival of patients with <25% Prx1 staining category was longer by 8.1 months than those with ≥25% positively stained cancer cells (48.3 versus 40.2 months). Whether the down-regulation of Prx2 contributes to the pathophysiology of lung cancer, and whether the expression of Prx2 is under epigenetic control in NSCLC remains to be determined. Given the presence of CpG islands in the core promoter regions of prx1, a possible involvement of epigenetic reactivation of prx1 in NSCLC cannot be ruled out. It also remains to be established in which cell types and tissues, and under what pathophysiologic conditions, these genetic and epigenetic mechanisms influence prx1 and/or prx2 gene expression.

To the best of our knowledge, this current study is the first comprehensive analyses of Prx1 and Prx2 expression profiles and their prognostic value in NSCLC. Our results suggest that Prx1 may possess unique functions and regulatory mechanisms in NSCLC which are not shared with Prx2. That a high Prx1 expression level correlates significantly with worse survival in NSCLC, together with the cell survival–enhancing functions of Prx1 previously reported by us and others, indicates a possible role for Prx1 in influencing tumor progression and treatment response. We suggest that Prx1, in addition to serving as a prognostic marker, may also serve as a therapeutic target in NSCLC. To explore this possibility, elucidation of the full range of cis elements and transcriptional factors involved in the regulation of prx1 gene expression in NSCLC will be necessary. Future investigation into the potential of Prx1 inhibition as an effective means of enhancing tumor response to treatment and/or delaying tumor progression is clearly warranted.


    Footnotes
 
Grant support: NIH grants CA109480, CA111846, and CA126804; Department of Defense grant PC050127; and Cancer Center Support grant CA16056.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Note: J-H. Kim and P.N. Bogner contributed equally to this work.

Current address for J-H. Kim: Eulji University School of Medicine, Daejeon, Korea.

6 http://www.R-project.org Back

7 http://discover.nci.nih.gov Back

8 http://genome.ucsc.edu Back

9 http://genome.ucsc.edu Back

10 http://bioweb.pasteur.fr/seqanal/interfaces/dialign2-simple.html Back

11 http://genome.lbl.gov/vista Back

Received 9/26/07; revised 11/21/07; accepted 11/25/07.


    References
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 

  1. Jemal A, Siegel R, Ward E, et al. Cancer statistics, 2007. CA Cancer J Clin 2007;57:43–66.[Abstract/Free Full Text]
  2. Schiller JH, Harrington D, Belani CP, et al. Comparison of four chemotherapy regimens for advanced non-small-cell lung cancer. N Engl J Med 2002;346:92–8.[Abstract/Free Full Text]
  3. Rhee SG, Kang SW, Chang TS. Peroxiredoxin, a novel family of peroxidases. IUBMB Life 2001;52:35–41.[Medline]
  4. Yanagawa T, Iwasa S, Ishii T, et al. Peroxiredoxin I expression in oral cancer: a potential new tumor marker. Cancer Lett 2000;15:27–35.[CrossRef]
  5. Qi Y, Chiu JF, Wang L, et al. Comparative proteomic analysis of esophageal squamous cell carcinoma. Proteomics 2005;5:2960–71.[CrossRef][Medline]
  6. Shen J, Person MD, Zhu J, et al. Protein expression profiles in pancreatic adenocarcinoma compared with normal pancreatic tissue and tissue affected by pancreatitis as detected by two-dimensional gel electrophoresis and mass spectrometry. Cancer Res 2004;64:9018–26.[Abstract/Free Full Text]
  7. Yanagawa T, Ishikawa T, Ishii T, et al. Peroxiredoxin I expression in human thyroid tumors. Cancer Lett 1999;145:127–32.[CrossRef][Medline]
  8. Chang JW, Jeon HB, Lee JH, et al. Augmented expression of peroxiredoxin I in lung cancer. Biochem Biophys Res Commun 2001;289:507–12.[CrossRef][Medline]
  9. Lehtonen ST, Svensk AM, Soini Y, et al. Peroxiredoxins, a novel protein family in lung cancer. Int J Cancer 2004;111:514–21.[CrossRef][Medline]
  10. Chang JW, Lee SH, Jeong JY, et al. Peroxiredoxin-I is an autoimmunogenic tumor antigen in non-small cell lung cancer. FEBS Lett 2005;579:2873–7.[CrossRef][Medline]
  11. Kim HJ, Chae HZ, Kim YJ, et al. Preferential elevation of Prx I and Trx expression in lung cancer cells following hypoxia and in human lung cancer tissues. Cell Biol Toxicol 2003;19:285–98.[CrossRef][Medline]
  12. Kinnula VL, Paakko P, Soini Y. Antioxidant enzymes and redox regulating thiol proteins in malignancies of human lung. FEBS Lett 2004;569:1–6.[CrossRef][Medline]
  13. Kinnula VL, Lehtonen S, Sormunen R, et al. Overexpression of peroxiredoxins I, II, III, V, and VI in malignant mesothelioma. J Pathol 2002;196:316–23.[CrossRef][Medline]
  14. Noh DY, Ahn SJ, Lee RA, et al. Overexpression of peroxiredoxin in human breast cancer. Anticancer Res 2001;21:2085–90.[Medline]
  15. Karihtala P, Mantyniemi A, Kang SW, et al. Peroxiredoxins in breast carcinoma. Clin Cancer Res 2003;9:3418–24.[Abstract/Free Full Text]
  16. Iwao-Koizumi K, Matoba R, Ueno N, et al. Prediction of docetaxel response in human breast cancer by gene expression profiling. J Clin Oncol 2005;23:422–31.[Abstract/Free Full Text]
  17. Kim YJ, Lee WS, Ip C, et al. Prx1 suppresses radiation-induced c-Jun NH2-terminal kinase signaling in lung cancer cells through interaction with the glutathione S-transferase Pi/c-Jun NH2-terminal kinase complex. Cancer Res 2006;66:7136–42.[Abstract/Free Full Text]
  18. Chen MF, Chen WC, Wu CT, et al. p53 status is a major determinant of effects of decreasing peroxiredoxin I expression on tumor growth and response of lung cancer cells to treatment. Int J Radiat Oncol Biol Phys 2006;66:1461–72.[Medline]
  19. Chen MF, Keng PC, Shau H, et al. Inhibition of lung tumor growth and augmentation of radiosensitivity by decreasing peroxiredoxin I expression. Int J Radiat Oncol Biol Phys 2006;64:581–91.[CrossRef][Medline]
  20. Park SY, Yu X, Ip C, et al. Prx1 interacts with androgen receptor and enhances its trans-activation by hypoxia/reoxygenation. Cancer Res 2007;67:9294–303.[Abstract/Free Full Text]
  21. Chung YM, Yoo YD, Park JK, et al. Increased expression of peroxiredoxin II confers resistance to cisplatin. Anticancer Res 2001;21:1129–33.[Medline]
  22. Zhang P, Liu B, Kang SW, et al. Thioredoxin peroxidase is a novel inhibitor of apoptosis with a mechanism distinct from that of Bcl-2. J Biol Chem 1997;272:30615–8.[Abstract/Free Full Text]
  23. Park SH, Chung YM, Lee YS, et al. Antisense of human peroxiredoxin II enhances radiation-induced cell death. Clin Cancer Res 2000;6:4915–20.[Abstract/Free Full Text]
  24. Yo YD, Chung YM, Park JK, et al. Synergistic effect of peroxiredoxin II antisense on cisplatin-induced cell death. Exp Mol Med 2002;34:273–7.[Medline]
  25. Jang HH, Lee KO, Chi YH, et al. Two enzymes in one; two yeast peroxiredoxins display oxidative stress-dependent switching from a peroxidase to a molecular chaperone function. Cell 2004;117:625–35.[CrossRef][Medline]
  26. Jang HH, Kim SY, Park SK, et al. Phosphorylation and concomitant structural changes in human 2-Cys peroxiredoxin isotype I differentially regulate its peroxidase and molecular chaperone functions. FEBS Lett 2006;580:351–5.[CrossRef][Medline]
  27. Lee W, Choi KS, Riddell J, et al. Human peroxiredoxin 1 and 2 are not duplicate proteins: the unique presence of CYS83 in Prx1 underscores the structural and functional differences between Prx1 and Prx2. J Biol Chem 2007;282:22011–22.[Abstract/Free Full Text]
  28. Kim JH, Bogner PN, Ramnath N, et al. Elevated peroxiredoxin 1, but not NF-E2-related factor 2, is an independent prognostic factor for disease recurrence and reduced survival in stage I non-small cell lung cancer. Clin Cancer Res 2007;13:3875–82.[Abstract/Free Full Text]
  29. Mountain CF. Revisions in the international system for staging lung cancer. Chest 1997;111:1710–7.[CrossRef][Medline]
  30. Travis W, Colby GA, Corrin B, et al. World Health Organization classification of lung and pleural tumors. 3rd ed. Springer-Verlag; 1999.
  31. R Development Core Team. R: a language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing; 2007.
  32. Boyd MR, Paull KD. Some practical considerations and applications of the National Cancer Institute in vitro anticancer drug discovery screen. Drug Dev Res 1995;34:91–109.[CrossRef]
  33. Holeck SL. Update on NCI in vitro drug screen utilities. Eur J Cancer 2004;40:785–93.[CrossRef][Medline]
  34. Shoemaker RH. The NCI60 human tumour cell line anticancer drug screen. Nat Rev Cancer 2006;6:813–23.[CrossRef][Medline]
  35. Weinstein JN. Integromic analysis of the NCI-60 cancer cell lines. Breast Dis 2004;19:11–22.[Medline]
  36. Shankavaram UT, Reinhold WC, Nishizuka S, et al. Transcript and protein expression profiles of the NCI-60 cancer cell panel: an integromic microarray study. Mol Cancer Ther 2007;6:820–32.[Abstract/Free Full Text]
  37. Morgenstern B. DIALIGN 2: improvement of the segment-to-segment approach to multiple sequence alignment. Bioinformatics 1999;15:211–8.[Abstract/Free Full Text]
  38. Dubchak I, Brudno M, Loots GG, et al. Active conservation of noncoding sequences revealed by three-way species comparisons. Genome Res 2000;10:1304–6.[Abstract/Free Full Text]
  39. Siepel A, Bejerano G, Pedersen JS, et al. Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res 2005;15:1034–50.[Abstract/Free Full Text]
  40. King DC, Taylor J, Elniski L, et al. Evaluation of regulatory potential and conservation scores for detecting cis-regulatory modules in aligned mammalian genome sequences. Genome Res 2005;15:1051–60.[Abstract/Free Full Text]
  41. Kim YJ, Ahn JY, Liang P, et al. Human prx1 gene is a target of Nrf2 and is up-regulated by hypoxia/reoxygenation: implication to tumor biology. Cancer Res 2007;67:546–54.[Abstract/Free Full Text]
  42. Gardiner-Garden M, Frommer M. CpG islands in vertebrate genomes. J Mol Biol 1987;196:261–82.[CrossRef][Medline]
  43. Wen ST, Van Etten RA. The PAG gene product, a stress-induced protein with antioxidant properties, is an Abl SH3-binding protein and a physiological inhibitor of c-Abl tyrosine kinase activity. Genes Dev 1997;11:2456–67.[Abstract/Free Full Text]
  44. Mu ZM, Yin XY, Prochownik EV. Pag, a putative tumor suppressor, interacts with the Myc Box II domain of c-Myc and selectively alters its biological function and target gene expression. J Biol Chem 2002;277:43175–84.[Abstract/Free Full Text]
  45. Jung H, Kim T, Chae HZ, et al. Regulation of macrophage migration inhibitory factor and thiol-specific antioxidant protein PAG by direct interaction. J Biol Chem 2001;276:15504–10.[Abstract/Free Full Text]
  46. Kawai S, Takeshita S, Okazaki M, et al. Cloning and characterization of OSF-3, a new member of the MER5 family, expressed in mouse osteoblastic cells. J Biochem (Tokyo) 1994;115:641–3.[Abstract/Free Full Text]
  47. Neumann CA, Krause DS, Carman CV, et al. Essential role for the peroxiredoxin Prdx1 in erythrocyte antioxidant defence and tumour suppression. Nature 2003;424:561–5.[CrossRef][Medline]
  48. Padmanabhan B, Tong KI, Ohta T, et al. Structural basis for defects of Keap1 activity provoked by its point mutations in lung cancer. Mol Cell 2006;21:689–700.[CrossRef][Medline]
  49. Singh A, Misra V, Thimmulappa RK, et al. Dysfunctional KEAP1–2 interaction in non-small cell lung cancer. PLoS Med 2006;3:e420.[CrossRef][Medline]
  50. Furuta J, Nobeyama Y, Umebayashi Y, et al. Silencing of peroxiredoxin 2 and aberrant methylation of 33 CpG islands in putative promoter regions in human malignant melanomas. Cancer Res 2006;66:6080–6.[Abstract/Free Full Text]




This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kim, J.-H.
Right arrow Articles by Park, Y.-M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kim, J.-H.
Right arrow Articles by Park, Y.-M.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online