Cost, Cost-effectiveness and Survival Impact Assessment for A Better Management of Colorectal Cancer Patients: A Single Centre Comprehensive Analysis.

Background And Aims: The world healthcare systems are currently challenged by the accumulating burden of colorectal cancer (CRC), and cancer registries represent an important segment for prevention and developing management plans, being useful in providing data regarding incidence, mortality, survival, exposure to carcinogens, lifestyle. Retrospective data from CRC patients in Romania was used to assess survival impact, costs, and cost-effectiveness considering three crucial aspects: pharmacology, chemo-/radio-therapy, and hospitalization for care and management of these patients.

Methods: 423 CRC patients from the Institutional Cancer Registry of the Prof.

Alteration of Gene and miRNA Expression in Cervical Intraepithelial Neoplasia and Cervical Cancer.

: Cervical cancer is one of the most common malignancies in women in terms of prevalence and mortality. Cervical cancer has some particularities that distinguish it from any other oncologic pathology: first, it is completely preventable by prompt detection of its precursor, cervical intraepithelial neoplasia (CIN); second, the Human Papillomavirus (HPV) infection is a known etiological agent; third, the mean age at diagnosis is much lower than in other oncologic conditions, as a consequence of the sexually-transmitted HPV. : We evaluated the expression level of several long noncoding RNAs and a microRNA in samples from 30 patients with CIN, 9 with cervical cancer and 38 normal samples using qRT-PCR technology.

Next-Generation Sequencing in Lung Cancer Patients: A Comparative Approach in NSCLC and SCLC Mutational Landscapes.

Background: Lung cancer remains one of the most diagnosed malignancies, being the second most diagnosed cancer, while still being the leading cause of cancer-related deaths. Late diagnosis remains a problem, alongside the high mutational burden encountered in lung cancer. Methods: We assessed the genetic profile of cancer genes in lung cancer using The Cancer Genome Atlas (TCGA) datasets for mutations and validated the results in a separate cohort of 32 lung cancer patients using tumor tissue and whole blood samples for next-generation sequencing (NGS) experiments.