Expression profiling on subclasses of primary parotid gland carcinomas.

Introduction: The underlying molecular mechanisms of parotid gland carcinomas (PGC) are still unknown. Knowledge about the tumor-driving signaling pathways is necessary either for diagnostics or developing new therapeutic options in this heterogeneous and rare entity.

Material And Methods: 94 matching RNA formalin-fixed and paraffin-embedded tissue samples from PGC and the corresponding non-tumor area, RNA quality and quantity were sufficient for gene expression profiling of 770 genes using the NanoString's nCounter technology.

HPV16 increases the number of migratory cancer stem cells and modulates their miRNA expression profile in oropharyngeal cancer.

Human papillomavirus type 16 (HPV16) is a major risk for development of oropharyngeal squamous-cell-carcinoma (OPSCC). Although HPV OPSCC metastasize faster than HPV tumors, they have a better prognosis. The molecular and cellular alterations underlying this pathobiology of HPV OPSCC remain elusive.

Evolution analysis of heterogeneous non-small cell lung carcinoma by ultra-deep sequencing of the mitochondrial genome.

Accurate assessment of tumour heterogeneity is an important issue that influences prognosis and therapeutic decision in molecular pathology. Due to the shortage of protective histones and a limited DNA repair capacity, the mitochondrial (mt)-genome undergoes high variability during tumour development. Therefore, screening of mt-genome represents a useful molecular tool for assessing precise cell lineages and tracking tumour history.

The relevance of the lymph node ratio as predictor of prognosis is higher in HPV-negative than in HPV-positive oropharyngeal squamous cell carcinoma.

Objectives: Lymph node ratio (LNR) is an established predictor in different entities of carcinoma, including head and neck malignancies. In oropharyngeal squamous cell carcinoma (OPSCC), lymph node involvement differs between human papilloma virus (HPV)-positive and HPV-negative tumours. Herein, we evaluate the impact of HPV association on the concept of LNR.

Prediction of outcome by lymph node ratio in patients with parotid gland cancer.

Objective: Lymph node ratio (LNR) has been shown to be an independent predictor of recurrence risk and survival in different entities of carcinoma.

Methods: In this retrospective chart review, 128 patients with parotid gland cancer (PGC) subsequently treated by primary surgery were included. About 64% (n = 82) of these patients were additionally treated with adjuvant radiotherapy.

MDM2 gene amplification in esophageal carcinoma.

Esophageal cancer (EC) is one of the most common malignancies diagnosed in the Western world with an increasing incidence noted for esophageal adenocarcinoma (EAC). Despite improvements in staging, surgical procedures and postoperative treatments, the overall survival of patients with EC remains low. Murine double minute‑2 (MDM2) acts as an oncogene by inducing the degradation of the tumor‑suppressor protein TP53.

Expression of the apoptosis repressor with caspase recruitment domain (ARC) in liver metastasis of colorectal cancer and its correlation with DNA mismatch repair proteins and p53.

Introduction: Apoptotic signaling is one of the most important processes in the measurement of chemotherapeutic effectiveness. In apoptotic machinery, various pathways and proteins are involved (i.e.

Targeted next generation sequencing of parotid gland cancer uncovers genetic heterogeneity.

Salivary gland cancer represents a heterogeneous group of malignant tumors. Due to their low incidence and the existence of multiple morphologically defined subtypes, these tumors are still poorly understood with regard to their molecular pathogenesis and therapeutically relevant genetic alterations.Performing a systematic and comprehensive study covering 13 subtypes of salivary gland cancer, next generation sequencing was done on 84 tissue samples of parotid gland cancer using multiplex PCR for enrichment of cancer related gene loci covering hotspots of 46 cancer genes.