Intratumoral expression of macrophage migration inhibitory factor is correlated with serum C-reactive protein and interleukin-6 in patients with non-small cell lung cancer

The Macrophage migration inhibitory factor is a vital player in Pan-Cancer by functioning as a M0 Macrophage biomarker

BACKGROUND

The role of the macrophage migration inhibitory factor (MIF) has recently attracted considerable attention in cancer research; nonetheless, the insights provided by current investigations remain constrained. Our main objective was to investigate its role and the latent mechanisms within the pan-cancer realm.

METHODS

We used comprehensive pan-cancer bulk sequencing data and online network tools to investigate the association between MIF expression and patient prognosis, genomic instability, cancer cell stemness, DNA damage repair, and immune infiltration. Furthermore, we validated the relationship between MIF expression and M0 macrophages using single-cell datasets, the SpatialDB database, and fluorescence staining. Additionally, we assessed the therapeutic response using the ROC plotter tool.

RESULTS

We observed the upregulation of MIF expression across numerous cancer types. Notably, elevated MIF levels were associated with a decline in genomic stability. We found a significant correlation between increased MIF expression and increased expression of mismatch repair genes, stemness features, and homologous recombination genes across diverse malignancies. Subsequently, through an analysis using ESTIMATE and cytokine results, we revealed the involvement of MIF in immune suppression. Then, we validated MIF as a hallmark of the M0 macrophages involved in tumor immunity. Our study suggests an association with other immune-inhibitory cellular populations and restraint of CD8 + T cells. In addition, we conducted a comparative analysis of MIF expression before and after treatment in three distinct sets of therapy responders and non-responders. Intriguingly, we identified notable disparities in MIF expression patterns in bladder urothelial carcinoma and ovarian cancer following particular therapeutic interventions.

CONCLUSION

Comprehensive pan-cancer analysis revealed notable enrichment of MIF within M0 macrophages, exerting a profound influence on tumor-associated immunosuppression and the intricate machinery of DNA repair.

MIF promotes cell invasion by the LRP1-uPAR interaction in pancreatic cancer cells

Introduction

Pancreatic ductal adenocarcinoma (PDAC) is characterized by high aggressiveness and a hypoxic tumour microenvironment. Macrophage migration inhibitory factor (MIF) is a hypoxia-related pleiotropic cytokine that plays important roles in cancer. However, its role in PDAC progression has not been fully elucidated.

Methods

The clinical significance of MIF and hypoxia inducible factor 1 subunit alpha (HIF1A) in PDAC was analysed using immunohistochemical staining on PDAC tissues and data from KM-Plotter database. Spatial distribution of MIF and HIF1A gene expression was visualized by spatial transcriptomics in PDAC cell xenografts. To monitor the role of MIF in PDAC cell malignancy, immunostaining, lentivirus shRNA, migration assays, flow cytometry, transcriptomics and in vivo tumorigenicity were performed.

Results

The spatial distribution of MIF and HIF1A was highly correlated and that high MIF expression was associated with poor prognosis of PDAC patients. MIF knockdown impaired cell invasion, with a decrease in the expression of urokinase-type plasminogen activator receptor (uPAR). Although PLAUR transcript was not reduced, a uPAR endocytic receptor, low-density lipoprotein receptor-related protein 1 (LRP1), was upregulated at both the mRNA and protein levels after MIF knockdown. The LRP1 antagonist RAP restored uPAR expression and invasiveness. MIF attenuated the nuclear translocation of p53, a transcriptional regulator of LRP1. Furthermore, MIF downregulation blunted the growth of PDAC cell xenografts and inhibited cell proliferation under normoxia and hypoxia. Transcriptome analysis also provided evidence for the role of MIF in cancer-associated pathways.

Discussion

We demonstrate a novel link between the two pro-invasive agents MIF and uPAR and explain how MIF increases PDAC cell invasion capability. This finding provides a basis for therapeutic intervention of MIF in PDAC progression.

Association study between macrophage migration inhibitory factor-173 polymorphism and acute myeloid leukemia in Taiwan

Acute myeloid leukemia (AML) is the most common acute leukemia diagnosed in adults. Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine that plays a significant role in pathogenesis and autoimmune diseases. The major function of MIF is to promote the cell proliferation, migration, and invasion. The aim of the present study is to identify the association between MIF-173 (rs755662) single nucleotide polymorphism (SNP) and AML in Taiwanese population. DNA samples extracted from 256 AML patients and 256 healthy controls were investigated using polymerase chain reaction followed by restriction fragment length polymorphism analysis. The association between MIF-173 SNP genotype and AML patients were assessed with SPSS software. The results show that the GC genotype of MIF-173 SNP is significantly higher in AML patients than in the healthy controls (OR 1.58, 95 % CI 1.06, P = 0.034). Carrier genotypes GC and CC may be a causative factor for AML cancer (OR 1.39, 95 % CI 0.95, P = 0.085). White blood cell count (10(3)/µl) were significantly associated with AML MIF-173 polymorphism patients (P = 0.002). Our results in this study provide the first evidence that the MIF-173 polymorphism is associated with AML. MIF is a potential biomarker for development of AML cancer in male adult in Taiwanese population. Further validations in other populations are warranted.

Serum biomarker profiles as diagnostic tools in lung cancer

BACKGROUND

Computed tomography (CT) scanning has emerged as an effective means of early detection for lung cancer. Despite marked improvement over earlier methodologies, the low level of specificity demonstrated by CT scanning has limited its clinical implementation as a screening tool. A minimally-invasive biomarker-based test that could further characterize CT-positive patients based on risk of malignancy would greatly enhance its clinical efficacy.

METHODS

We performed an analysis of 81 serum proteins in 92 patients diagnosed with lung cancer and 172 CT-screened control individuals. We utilize a series of bioinformatics algorithms including Metropolis-Monte Carlo, artificial neural networks, Naïve Bayes, and additive logistic regression to identify multimarker panels capable of discriminating cases from controls with high levels of sensitivity and specificity in distinct training and independent validation sets.

RESULTS

A three-biomarker panel comprised of MIF, prolactin, and thrombospondin identified using the Metropolis-Monte Carlo algorithm provided the best classification with a %Sensitivity/Specificity/Accuracy of 74/90/86 in the training set and 70/93/82 in the validation set. This panel was effective in the classification of control individuals demonstrating suspicious pulmonary nodules and stage I lung cancer patients.

CONCLUSIONS

The selected serum biomarker panel demonstrated a high diagnostic utility in the current study and performance characteristics which compare favorably with previous reports. Further advancements may lead to the development of a diagnostic tool useful as an adjunct to CT-scanning.

Correlation of macrophage migration inhibitory factor gene polymorphism with the risk of early-stage cervical cancer and lymphatic metastasis

Associations of functional single nucleotide polymorphisms in MIF-173G/C with early stage cervical cancer were investigated in a hospital-based case-control study on 250 patients with cervical cancer prior to surgery (including 49 cases with and 201 cases without lymphatic metastasis) and 147 healthy controls. The polymorphism was assessed using restriction fragment length polymorphism polymerase chain reaction, and the MIF serum concentration was examined using the enzyme-linked immunosorbent assay to analyze the correlation between the polymorphism and the MIF serum concentration. Carriers of the variant C allele in MIF-173 were at a significantly higher risk of cervical cancer compared to carriers of the wild-type allele (aOR=1.508; 95% CI, 1.128-2.016, p=0.05). The GC and CC genotypes may be the causative factors for cervical cancer (aOR=1.851; 95% CI, 1.132-3.027, p=0.013). Individuals with the GC+CC genotype and C allele at the MIF-173G/C site were at a significantly higher risk of cervical cancer and lymphatic metastasis. The risk of lymphatic metastasis in early stage cervical cancer was increased more than 1.6 times in patients with the CC and GC genotypes compared with those with the GG genotype. The genotype distribution and allele frequency of MIF-173G/C were statistically significant in the well-, moderately and poorly differentiated groups (P<0.05). Compared to the GG genotype and G allele, patients with GC and CC genotypes and C allele exhibited a lower degree of differentiation and a higher degree of malignancy. A significant difference was observed in MIF serum concentrations among the various subgroups (P<0.05). The early cervical cancer, lymphatic metastasis and poorly differentiated groups exhibited higher MIF levels in serum. Moreover, patients with the CC genotype exhibited higher MIF serum concentration, which could increase the risk of early stage cervical cancer and lymphatic metastasis. The results presented in this study provide the first evidence that the genetic polymorphism MIF-173 is associated with cervical cancer in humans. Detection of MIF serum concentration and genotyping may be used as biomarkers for early diagnosis and therapy for cervical cancer.

Natriuretic peptide receptor a as a novel target for prostate cancer

BACKGROUND

The receptor for the cardiac hormone atrial natriuretic peptide (ANP), natriuretic peptide receptor A (NPRA), is expressed in cancer cells, and natriuretic peptides have been implicated in cancers. However, the direct role of NPRA signaling in prostate cancer remains unclear.

RESULTS

NPRA expression was examined by western blotting, RT-PCR and immunohistochemistry. NPRA was downregulated by transfection of siRNA, shRNA and NPRA inhibitor (iNPRA). Antitumor efficacy of iNPRA was tested in mice using a TRAMP-C1 xenograft. Here, we demonstrated that NPRA is abundantly expressed on tumorigenic mouse and human prostate cells, but not in nontumorigenic prostate epithelial cells. NPRA expression showed positive correlation with clinical staging in a human PCa tissue microarray. Down-regulation of NPRA by siNPRA or iNPRA induced apoptosis in PCa cells. The mechanism of iNPRA-induced anti-PCa effects was linked to NPRA-induced expression of macrophage migration inhibitory factor (MIF), a proinflammatory cytokine over-expressed in PCa and significantly reduced by siNPRA. Prostate tumor cells implanted in mice deficient in atrial natriuretic peptide receptor A (NPRA-KO) failed to grow, and treatment of TRAMP-C1 xenografts with iNPRA reduced tumor burden and MIF expression. Using the TRAMP spontaneous PCa model, we found that NPRA expression correlated with MIF expression during PCa progression.

CONCLUSIONS

Collectively, these results suggest that NPRA promotes PCa development in part by regulating MIF. Our findings also suggest that NPRA is a potential prognostic marker and a target for PCa therapy.