adrenomedullin and Mouth-Neoplasms

There is increasing evidence that antimicrobial peptides (AMPs) are differentially regulated in cancers such as oral squamous cell carcinomas (OSCC). Data showing that AMPs influence the growth of tumor cells, exhibit direct cytotoxic activity towards cancer cells, function as a tumor suppressor gene or activate the adaptive immunity suggest that a dysregulation of AMPs may be associated with the development of cancer. There is no question that, with increasing resistance against conventional chemotherapy, novel anticancer agents are needed. It is interesting to speculate that natural AMP or synthetic derivatives can be used to develop novel strategies to fight cancer diseases and may represent a novel family of anticancer agents. However, future research is needed to employ the role of AMPs in cancer and to investigate their role as potential anticancer drugs.

Topics: Adrenomedullin; Antimicrobial Cationic Peptides; Antineoplastic Agents; Carcinoma, Squamous Cell; Cathelicidins; Defensins; Histatins; Humans; Mouth Mucosa; Mouth Neoplasms; Structure-Activity Relationship

Jumonji Domain-Containing 1A (JMJD1A) protein promotes demethylation of histones, especially at lysin-9 of di-methylated histone H3 (H3K9me2) or mono-methylated (H3K9me1). Increased levels of H3 histone methylation at lysin-9 (H3K9) is related to tumor suppressor gene silencing. JMJD1A gene target Adrenomeduline (ADM) has shown to promote cell growth and tumorigenesis. JMJD1A and ADM expression, as well as H3K9 methylation level have been related with development risk and prognosis of several tumor types.. We aimed to evaluate JMJD1A, ADM, H3K9me1 and H3K9me2expression in paraffin-embedded tissue microarrays from 84 oral and oropharyngeal squamous cell carcinoma samples through immunohistochemistry analysis. Our results showed that nuclear JMJD1A expression was related to lymph node metastasis risk. In addition, JMJD1A cytoplasmic expression was an independent risk marker for advanced tumor stages. H3K9me1 cytoplasmic expression was associated with reduced disease-specific death risk. Furthermore, high H3K9me2 nuclear expression was associated with worse specific-disease and disease-free survival. Finally, high ADM cytoplasmic expression was an independent marker of lymph node metastasis risk.. JMJD1A, H3K9me1/2 and ADM expression may be predictor markers of progression and prognosis in oral and oropharynx cancer patients, as well as putative therapeutic targets.

Topics: Adrenomedullin; Biomarkers, Tumor; Carcinoma, Squamous Cell; Epigenesis, Genetic; Female; Follow-Up Studies; Gene Expression Regulation, Neoplastic; Histones; Humans; Jumonji Domain-Containing Histone Demethylases; Lymphatic Metastasis; Male; Middle Aged; Mouth Neoplasms; Neoplasm Recurrence, Local; Oropharyngeal Neoplasms; Prognosis; Survival Rate

In India, oral cancer has consistently ranked among top three causes of cancer-related deaths, and it has emerged as a top cause for the cancer-related deaths among men. Lack of effective therapeutic options is one of the main challenges in clinical management of oral cancer patients. We interrogated large pool of samples from oral cancer gene expression studies to identify potential therapeutic targets that are involved in multiple cancer hallmark events. Therapeutic strategies directed towards such targets can be expected to effectively control cancer cells. Datasets from different gene expression studies were integrated by removing batch-effects and was used for downstream analyses, including differential expression analysis. Dependency network analysis was done to identify genes that undergo marked topological changes in oral cancer samples when compared with control samples. Causal reasoning analysis was carried out to identify significant hypotheses, which can explain gene expression profiles observed in oral cancer samples. Text-mining based approach was used to detect cancer hallmarks associated with genes significantly expressed in oral cancer. In all, 2365 genes were detected to be differentially expressed genes, which includes some of the highly differentially expressed genes like matrix metalloproteinases (MMP-1/3/10/13), chemokine (C-X-C motif) ligands (IL8, CXCL-10/-11), PTHLH, SERPINE1, NELL2, S100A7A, MAL, CRNN, TGM3, CLCA4, keratins (KRT-3/4/13/76/78), SERPINB11 and serine peptidase inhibitors (SPINK-5/7). XIST, TCEAL2, NRAS and FGFR2 are some of the important genes detected by dependency and causal network analysis. Literature mining analysis annotated 1014 genes, out of which 841 genes were statistically significantly annotated. The integration of output of various analyses, resulted in the list of potential therapeutic targets for oral cancer, which included targets such as ADM, TP53, EGFR, LYN, CTLA4, SKIL, CTGF and CD70.

Topics: Adrenomedullin; CD27 Ligand; Connective Tissue Growth Factor; CTLA-4 Antigen; Data Mining; Drug Delivery Systems; ErbB Receptors; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Humans; India; Intracellular Signaling Peptides and Proteins; Male; Molecular Sequence Annotation; Mouth Neoplasms; Neoplasm Proteins; Proto-Oncogene Proteins; src-Family Kinases; Tumor Suppressor Protein p53