An Overview of Introductory and Advanced Survival Analysis Methods in Clinical Applications: Where Have we Come so far?

The time-to-event relationship for survival modeling is considered when designing a study in clinical trials. However, because time-to-event data are mostly not normally distributed, survival analysis uses non-parametric data processing and analysis methods, mainly Kaplan-Meier (KM) estimation models and Cox proportional hazards (CPH) regression models. At the same time, the log-rank test can be applied to compare curves from different groups.

Supportive Oligonucleotide Therapy (SOT) as a Potential Treatment for Viral Infections and Lyme Disease: Preliminary Results.

Antisense therapy is widely used as an alternative therapeutic option for various diseases. RNA interference might be effective in infections, through the degradation of messenger RNA and, therefore, translation process. Hence, proteins essential for microorganisms and viruses' proliferation and metabolism are inhibited, leading to their elimination.

Adoptive transfer of activated immune cells against solid tumors: A preliminary study.

Background: This study presents preliminary results concerning the effectiveness of a novel immunotherapy in cancer. The proposed adoptive cellular therapy product contains a mixture of effector immune cells, specifically macrophages, NK cells, dendritic cells, cytotoxic T lymphocytes and monoclonal antibody producing plasma cells.

Methods: The results were based on both descriptive and inferential statistical analysis of data concerning 17 cancer patients.

Supportive Oligonucleotide Therapy (SOT) as an Alternative Treatment Option in Cancer: A Preliminary Study.

Background/aim: An early evaluation concerning the effectiveness of supportive oligonucleotide therapy (SOT) in cancer as a monotherapy and in combination with other types of treatment.

Patients And Methods: This study evaluated the clinical condition and performance status (Karnofsky-Index) of 95 patients, post-SOT administration. Furthermore, circulating tumor cells (CTCs) from 47 patients' pre- and post-SOT administration were measured and analyzed by repeated-measures ANOVA.

A Novel Method for Colorectal Cancer Screening Based on Circulating Tumor Cells and Machine Learning.

Colorectal cancer is one of the most common types of cancer, and it can have a high mortality rate if left untreated or undiagnosed. The fact that CRC becomes symptomatic at advanced stages highlights the importance of early screening. The reference screening method for CRC is colonoscopy, an invasive, time-consuming procedure that requires sedation or anesthesia and is recommended from a certain age and above.

Gene expression profiling as a potential predictor between normal and cancer samples in gastrointestinal carcinoma.

Analysis and comparison of gene expression profile among molecules, correlated with essential and crucial biological processes, is of primary importance in cancer research, since it provides significant info regarding the resistance to chemo/radiotherapy, risk for relapse or prediction of metastasis etc. In this study, gene expression profile is used for discriminating efficiently colon cancer cell lines from normal cells and cancer cells in blood samples of colon cancer patients and categorizing different types of gastrointestinal cancer. In particular, blood samples were collected from normal donors as well as from colon cancer patients.

The use of serum extracellular vesicles for novel small molecule inhibitor cell delivery.

In Research Genetic Cancer Center (RGCC), we are in the process of synthesizing a novel ERK inhibitor. We have currently synthesized an intermediate molecule, RGCC169, that needed to be tested to confirm we are using the appropriate synthetic pathways. Because of the limited solubility the compound exhibits, a strategy had to be devised for the free entrance of the molecule into the cell.