The relationship of metalloproteinase gene polymorphisms and lung cancer

The multifaceted roles of matrix metalloproteinases in lung cancer

Background

Though the matrix metalloproteinases (MMPs) are widely investigated in lung cancer (LC), however, almost no review systematically clarify their multi-faced roles in LC.

Methods

We investigated the expression of MMPs and their effects on survival of patients with LC, the resistance mechanisms of MMPs in anti-tumor therapy, the regulatory networks of MMPs involved, the function of MMPs inducing CSCLs, MMPs-related tumor immunity, and effects of MMP polymorphisms on risk of LC.

Results

High expression of MMPs was mainly related to poor survival, high clinical stages and cancer metastasis. Role of MMPs in LC are multi-faced. MMPs are involved in drug resistance, induced CSCLs, participated in tumor immunity. Besides, MMPs polymorphisms may increase risk of LC.

Conclusions

MMPs might be promising targets to restore the anti-tumor immune response and enhance the killing function of nature immune cells in LC.

Analysis of MMP-2-735C/T (rs2285053) and MMP-9-1562C/T (rs3918242) Polymorphisms in the Risk Assessment of Developing Lung Cancer

Matrix metalloproteinase (MMP)-2 and -9 are gelatinases which are capable of degrading type IV collagen and have been linked to cancer invasion and metastatic development. MMP-2 and MMP-9 gene polymorphisms may affect their biological function, and thus their role in cancer development and progression. We analyzed the association of the polymorphism frequencies of MMP-2-735C/T and MMP-9-1562C/T with MMP-2 and MMP-9 serum concentrations, as well as their potential effects in lung cancer patients. We conducted a retrospective, case-control study consisting of 112 lung cancer patients and 100 healthy individuals from a Caucasian population in Poland. Polymerase chain reaction with restriction fragment length polymorphism (PCR/RFLP) and electrophoresis was used to genotype genomic DNA from whole blood samples. MMP-2 and MMP-9 serum concentrations were then determined using ELISA. For statistical analysis, Statistica version 13 from TIBCO Software Inc. was utilized with a significance level <0.05. Logistic regression analysis revealed that MMP-2-735CC (OR = 5.39; 95% CI = 0.62-47.17; p = 0.238504) and -735CT genotype (OR = 7.22; 95% CI = 0.78-67.14; p = 0.072836), as well as MMP-9-1562CC (OR = 1.45; 95% CI = 0.31-6.70; p = 0.757914) and -1562CT genotype (OR = 1.60; 95% CI = 0.33-7.83; p = 0.548801) were associated with a higher risk of lung cancer. There were statistically significant differences observed in the MMP-2 concentration between individuals with the -735CC genotype and the -735CT genotype (non-smoking control: 204.04 ng/mL vs. 237.00 ng/mL, respectively, p = 0.041479; adenocarcinoma patients: 157.69 ng/mL vs. 126.37 ng/mL, respectively, p = 0.013222), as well as differences in the MMP-9 concentration between individuals with the -1562CC genotype and the -1562CT genotype (smoking control: 385.67 ng/mL vs. 562.80 ng/mL, respectively, p = 0.000936; patients with other lung neoplasms: 821.64 ng/mL vs. 928.88 ng/mL, respectively p = 0.023315). The role of MMP-2-735C/T and MMP-9 -1562C/T polymorphisms in an increased risk of lung cancer cannot be dismissed. Specific genotypes affect MMP-2 and MMP-9 concentrations in both lung cancer patients and healthy controls, which may thereby increase lung cancer risk, disease aggressiveness, and patient survival outcomes.

Identification of immune biomarkers associated with basement membranes in idiopathic pulmonary fibrosis and their pan-cancer analysis

Idiopathic pulmonary fibrosis (IPF) is a chronic progressive interstitial lung disease of unknown etiology, characterized by diffuse alveolitis and alveolar structural damage. Due to the short median survival time and poor prognosis of IPF, it is particularly urgent to find new IPF biomarkers. Previous studies have shown that basement membranes (BMs) are associated with the development of IPF and tumor metastasis. However, there is still a lack of research on BMs-related genes in IPF. Therefore, we investigated the expression level of BMs genes in IPF and control groups, and explored their potential as biomarkers for IPF diagnosis. In this study, the GSE32537 and GSE53845 datasets were used as training sets, while the GSE24206, GSE10667 and GSE101286 datasets were used as validation sets. In the training set, seven immune biomarkers related to BMs were selected by differential expression analysis, machine learning algorithm (LASSO, SVM-RFE, Randomforest) and ssGSEA analysis. Further ROC analysis confirmed that seven BMs-related genes played an important role in IPF. Finally, four immune-related Hub genes (COL14A1, COL17A1, ITGA10, MMP7) were screened out. Then we created a logistic regression model of immune-related hub genes (IHGs) and used a nomogram to predict IPF risk. The nomogram model was evaluated to have good reliability and validity, and ROC analysis showed that the AUC value of IHGs was 0.941 in the training set and 0.917 in the validation set. Pan-cancer analysis showed that IHGs were associated with prognosis, immune cell infiltration, TME, and drug sensitivity in 33 cancers, suggesting that IHGs may be potential targets for intervention in human diseases including IPF and cancer.

MMP-7 expression is associated with a higher rate of tumor spread through air spaces in resected lung adenocarcinomas

OBJECTIVES

The spread through air spaces (STAS) of adenocarcinoma (ADC) is a unique pattern for local invasion, which comprises the spread of tumor cells within air spaces beyond the tumor edge without a direct connection with the primary tumor. Matrix metalloproteinase-7 (MMP-7), a secreted proteolytic enzyme that degrades various extracellular matrix components and other substrates, regulates several pathophysiological processes as well as the occurrence and development of cancers in humans. Here, we retrospectively analyzed a cohort of Japanese patients with treatment-naive, surgically-resected lung ADC to assess whether MMP-7 is associated with STAS development and if it could be used as a predictor of STAS.

MATERIALS AND METHODS

We performed histological evaluation using hematoxylin and eosin staining and immunohistochemical analysis using microarrays. Thereafter, we scored the examined tissues for immune markers to identify significant tumor STAS predictors.

RESULTS

We identified that high MMP-7 expression is an independent predictor of a high STAS incidence. Multivariate analysis revealed that MMP-7 expression was correlated with tumor behavior and poor prognosis. Furthermore, STAS remained significantly associated with a higher risk of ADC recurrence.

CONCLUSION

The development of tumor STAS could be promoted by the functioning of MMP-7. This study could be a crucial basis for future investigations on the detection of tumor STAS.

A Targeted Proteomics Approach for Screening Serum Biomarkers Observed in the Early Stage of Type I Endometrial Cancer

Endometrial cancer (EC) is the most common gynecologic malignancy, and it arises in the inner part of the uterus. Identification of serum biomarkers is essential for diagnosing the disease at an early stage. In this study, we selected 44 healthy controls and 44 type I EC at tumor stage 1, and we used the Immuno-oncology panel and the Target 96 Oncology III panel to simultaneously detect the levels of 92 cancer-related proteins in serum, using a proximity extension assay. By applying this methodology, we identified 20 proteins, associated with the outcome at binary logistic regression, with a p-value below 0.01 for the first panel and 24 proteins with a p-value below 0.02 for the second one. The final multivariate logistic regression model, combining proteins from the two panels, generated a model with a sensitivity of 97.67% and a specificity of 83.72%. These results support the use of the proposed algorithm after a validation phase.

Interleukin-1β activated c-FOS transcription factor binds preferentially to a specific allele of the matrix metalloproteinase-13 promoter and increases susceptibility to endometriosis

Endometriosis is a benign gynecological condition characterized by increased growth, inflammation, invasion, and angiogenesis, partly regulated by a class of enzymes called matrix metalloproteinases (MMPs). The importance of a few MMPs, e.g., MMP-9, -3, and -7 has been studied in endometriosis progression. Although MMP-13 plays an essential role in bone regeneration and cancer, no report has been found on the part of MMP-13 and endometriosis progression. We found the upregulation of MMP-13 expression and activity in patients having endometriosis in the eastern Indian population. In addition, the -77A/G polymorphism of the MMP13 promoter (rs: 2252070) is associated with regulating transcription and subsequent susceptibility to disease. In eastern Indian case-control groups, the effect of the -77A/G single-nucleotide polymorphism on MMP13 promoter activity and its relationship with endometriosis susceptibility was studied. The AG genotype was shown to be more predisposed to endometriosis risk than the GG genotype (p: 0.02; odds ratio [OR]: 1.65, 95% confidence interval [CI]: 1.10-2.49), also AG genotype was more frequent in late-stage patients compared to early-stage (p: 0.03, OR: 2.0, 95% CI: 1.09-3.66). Furthermore, the MMP13 gene levels were greater in AA compared to GG individuals. Additionally, MMP13 promoter-reporter experiments in cultured endometrial epithelial cells and in silico analyses both demonstrated increased transcriptional activity near the G to A transition under basal/IL-1β -induced/c-FOS overexpressed condition. Overall, c-FOS tighter binding to the A allele-carrying promoter enhances MMP13 transcription, which is further amplified by IL-1β due to increased c-FOS phosphorylation, promoting MMP-13 production and endometriosis risk.

Matrix Metalloproteinases as Biomarkers and Treatment Targets in Mesothelioma: A Systematic Review

Metalloproteinases (MMPs) have an important role in tissue remodeling and have been shown to have an effect on tumor progression, invasion, metastasis formation, and apoptosis in several tumors, including mesothelioma. Mesothelioma is a rare tumor arising from pleura and peritoneum and is frequently associated with asbestos exposure. We have performed a systematic search of PubMed.gov and ClinicalTrials.gov databases to retrieve and review three groups of studies: studies of MMPs expression in tumor tissue or body fluids in patients with mesothelioma, studies of MMPs genetic variability, and studies of MMPs as potential novel drug targets in mesothelioma. Several studies of MMPs in mesothelioma tissues reported a link between higher expression levels of commonly studied MMPs and clinical parameters, such as overall survival. Fewer studies have investigated genetic variability of MMP genes. Nevertheless, these studies suggested that certain genetic variants in MMP genes can have either protective or tumor-promoting effects on mesothelioma patients. MMPs have been also reported as novel drug targets, but so far no clinical trials of MMP inhibitors are registered in mesothelioma. In conclusion, MMPs play an important role in mesothelioma, but further studies are needed to elucidate the potentials of MMPs as biomarkers and drug targets in mesothelioma.

Roles of matrix metalloproteinase-7 (MMP-7) in cancer

Matrix metalloproteinase-7 (MMP-7) is a small proteolytic enzyme that secretes zinc and calcium endopeptidases. It can degrade a variety of extracellular matrix substrates and other substrates and plays important regulatory roles in many human pathophysiological processes. Since its discovery, MMP-7 has been recognized as a regulatory protein in wound healing, bone growth, and remodeling. Later, MMP-7 was reported to regulate the occurrence and development of cancers and mediate the proliferation, differentiation, metastasis, and invasion of several types of cancer cells via various mechanisms. Thus, matrix metalloproteinase-7 may be a promising tumor biomarker and therapeutic target. The expression of MMP-7 correlates with the clinical characteristics of cancer patients, and its expression profile is a new diagnostic and prognostic biomarker for a variety of human diseases. Hence, manipulating the expression or function of MMP-7 may be a potential treatment strategy for different diseases including cancers. This review summarizes the role played by MMP-7 in carcinogenesis of several human cancers, underlying mechanisms, and its clinical significance of the occurrence and development of cancers.

Matrix metalloproteinase family gene polymorphisms and lung cancer susceptibility: an updated meta-analysis

Background

Many studies have investigated the association between matrix metalloproteinase polymorphisms and lung cancer susceptibility. However, the results are still controversial. To clarify these associations, we conducted a meta-analysis.

Methods

A systematic search of studies was conducted in PubMed, Embase, and China National Knowledge Infrastructure. Overall and subgroup analysis stratified by ethnicity was conducted. OR with 95% CI was used to assess the strength of the association. Furthermore, false-positive report probability (FPRP) tests were also performed for associations obtained in this meta-analysis.

Results

Twenty-four studies, including 10,099 cases and 9,395 controls, were analyzed. Nine polymorphisms were reported. For MMP1 -1607 1G/2G and MMP7 -181 A/G, increased lung cancer risk was found in Asians. For MMP2 -1306 C/T and MMP2 -735 C/T, decreased lung cancer risk was found in both “diverse populations” and Asians. For MMP9 -1562, C/T decreased lung cancer risk was found in both “diverse populations” and Caucasians. For MMP13 -77A/G, the A/G genotype decreased lung cancer risk in Asians. However, only associations between MMP1 -1607 1G/2G, MMP2 -1306 C/T, MMP2 -735 C/T, and MMP7 -181 A/G and lung cancer risk were considered noteworthy according to FPRP tests. There was no association between MMP3 -1171 5A/6A, MMP9 R279Q, and MMP12 -82A/G and lung cancer risk.

Conclusions

Our meta-analysis suggested that MMP1 -1607 1G/2G and MMP7 -181 A/G were risk factors for lung cancer, while MMP2 -1306 C/T, MMP2 -735 C/T, MMP9 -1562 C/T, and MMP13 -77A/G might be protective factors. However, results for MMP9 -1562 C/T and MMP13 -77A/G should be interpreted with caution due to the probability of false-positive reports.

Nuclear matrix metalloproteinases: functions resemble the evolution from the intracellular to the extracellular compartment

Matrix metalloproteinase (MMP) is defined as an endopeptidase in the extracellular matrix (ECM), which plays essential roles in physiological processes such as organogenesis, wound healing, angiogenesis, apoptosis and motility. MMPs are produced and assembled in the cytoplasm as proenzymes with a cytoplasmic domain and require extracellular activation. MMPs can degrade receptors, extracellular matrix proteins, PARPs and release apoptotic substances. MMPs have been found in the cytosol, organelles and extracellular compartments and recently many types of MMPs have been found in the nucleus. However, the mechanisms and roles of MMPs inside the cell nucleus are still poorly understood. Here we summarized the nuclear localization mechanisms of MMPs and their functions in the nucleus such as apoptosis, tissue remodeling upon injury and cancer progression. Most importantly, we found that nuclear MMPs have evolved to translocate to membrane and target ECM possibly through evolution of nuclear localization signal (NLS), natural selection and anti-apoptotic survival. Thus, the knowledge about the evolution and regulation of nuclear MMPs appears to be essential in understanding a variety of cellular processes along with the development of MMP-targeted therapeutic drugs against the progression of certain diseases.

Functional characterization of selective exosite-binding inhibitors of matrix metalloproteinase-13 (MMP-13) – experimental validation in human breast and colon cancer

Considering the pathological significance of MMP-13 in breast and colon cancers, exosite-based inhibition of the C-terminal hemopexin (Hpx) domain could serve as an alternative strategy to develop selective inhibitors for MMP-13.Two of six lead compounds, compound 5 (2,3-dihydro-1,4-benzodioxine-5-carboxylic acid) and compound 6 (1-acetyl-4-hydroxypyrrolidine-2-carboxylic acid) exhibited considerable inhibitory activity against MMP-13. Complementing to this study, we have also shown the gene expression levels of MMP-13 within the subtypes of colon and breast cancers classified from patients’ tissue samples to provide a better understanding on which subtype of breast cancer patients would get benefited by MMP-13 inhibitors.Our current results show that compounds 5 and 6 could effectively inhibit MMP-13 and provide specific therapeutic possibilities in the treatment of inflammatory disorders and cancers. The characterization of these lead compounds would provide a better mechanistic understanding of exosite-based inhibition of MMP-13, which could overcome the challenges in the identification of other MMP catalytic domain-specific inhibitors.

Analysis of the Association of Matrix Metalloproteinase-1 Gene Promoter (rs1799750) Polymorphism and Risk of Ovarian Cancer

OBJECTIVE

Studies investigating the association between matrix metalloproteinase-1 (MMP1) gene promoter 1607-base pair (bp) polymorphism and ovarian cancer risk have yielded conflicting results.

METHODS

We therefore carried out a meta-analysis of 754 ovarian cancer cases and 1184 controls from 5 published case-control studies. The strength of the association between MMP1 1607-bp polymorphism and ovarian cancer susceptibility was calculated using pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs).

RESULTS

The results suggest that no statistically significant associations exist between MMP1 1607-bp polymorphisms and ovarian cancer risk in all 4 genetic models (2G2G vs 1G1G: OR, 1.08; 95% CI, 0.81-1.43; P = 0.23; 1G2G vs 1G1G: OR, 1.06; 95% CI, 0.82-1.36; P = 0.15; 1G2G + 2G2G vs 1G1G: OR, 1.05; 95% CI, 0.83-1.34; P = 0.16; 2G2G vs 1G1G + 1G2G: OR, 0.98; 95% CI, 0.80-1.20; P = 0.84).

CONCLUSIONS

In summary, this meta-analysis showed that the MMP1 1607-bp polymorphism is not associated with ovarian cancer risk.

Matrix metalloproteinases in stem cell regulation and cancer

Since Gross and Lapiere firstly discovered matrix metalloproteinases (MMPs) as important collagenolytic enzymes during amphibian tadpole morphogenesis in 1962, this intriguing family of extracellular proteinases has been implicated in various processes of developmental biology. However, the pathogenic roles of MMPs in human diseases such as cancer have also garnered widespread attention. The most straightforward explanation for their role in cancer is that MMPs, through extracellular matrix degradation, pave the way for tumor cell invasion and metastasis. While this notion may be true for many circumstances, we now know that, depending on the context, MMPs may employ additional modes of functionality. Here, we will give an update on the function of MMPs in development and cancer, which may directly regulate signaling pathways that control tissue homeostasis and may even work in a non-proteolytic manner. These novel findings about the functionality of MMPs have important implications for MMP inhibitor design and may allow us to revisit MMPs as drug targets in the context of cancer and other diseases.

Common polymorphism in the MMP-13 gene may contribute to the risk of human cancers: a meta-analysis

Cancer was viewed to be driven by accumulating genetic abnormalities that generally include chromosomal abnormalities, mutations in tumor-suppressor genes, and oncogenes. The aim of this meta-analysis was to systematically summarize the possible associations between MMP-13 rs2252070 A>G variant and cancer risks. We systematically reviewed studies focusing on MMP-13 polymorphisms with human cancer susceptibility that were published before April 30, 2014. Relevant articles were identified through research of PubMed, Embase, Web of Science, Cochrane Library, CISCOM, CINAHL, Google Scholar, CBM, and CNKI databases. All analyses were calculated using the Version 12.0 STATA software. Odds ratios (OR) and 95 % confidence interval (95 % CI) were calculated. Eleven independent case-control studies were included in the meta-analysis, which involved 3,465 patients with cancers and 4,073 healthy controls. The results identified a positive association between rs2252070 A>G polymorphism and susceptibility to cancer under five genetic models (all P < 0.05). Ethnicity subgroup analysis implied that significant difference was detected for rs2252070 A>G polymorphism with increased risk of cancers among Asians and Caucasians in majority of the groups. Our findings suggest significant association for MMP-13 rs2252070 A>G to increased susceptibility to human cancer, especially in the progression of lung carcinoma.