Exploring older peoples' attitudes and preferences around the use of their healthcare information.

AIMS: Routinely collected health data can provide rich information for research and epidemiological monitoring of different diseases, but using the data presents many challenges. This study aims to explore the attitudes and preferences of people aged 55 and over regarding the use of their de-identified health data, and their concerns and comfort in different scenarios. METHODS: An anonymous online survey was conducted with people aged 55 and over currently engaged with health services in a New Zealand health district during June-October 2022. The survey could be completed online or by telephone and was available in eight languages. RESULTS: Seventy-nine percent of respondents knew that their health information was currently being used in the ways described in the scenarios, and between 80-87% felt comfortable or very comfortable with their data being used as described in the scenarios. In contrast, 4% (n=9) felt "uncomfortable" or "very uncomfortable" across all of the scenarios. Participants expressed concerns about data accuracy, privacy and confidentiality, security, transparency of use, consent, feedback and the risk of data being sold to commercial companies. Some participants identified situations where permission should be required to link data, including being used by people other than health professionals, containing sensitive health issues, or being used for commercial purposes. CONCLUSION: This study finds general support from patients for the use of their routinely collected data for secondary purposes as long as its use will benefit the population from which the data are taken. It also highlights the necessity of including the perspectives of different cultures in the collection, storage, use and analysis of health information, particularly concerning Maori cultural considerations.

hTERT and IGF-1R Proteins Expression in Response to Treatment in Patients with HPV Alpha 9-Positive Cervical Cancer.

Human papillomavirus (HPV) infection is strongly associated with cervical cancer (CC). Genomic alterations caused by viral infection and subsequent dysregulation of cellular metabolism under hypoxic conditions could influence the response to treatment. We studied a possible influence of IGF-1Rb, hTERT, HIF1a, GLUT1 protein expression, HPV species presence and relevant clinical parameters on the response to treatment. In 21 patients, HPV infection and protein expression were detected using GP5+/GP6+PCR-RLB and immunohistochemistry, respectively. The worse response was associated with radiotherapy alone compared with chemoradiotherapy (CTX-RT), anemia and HIF1a expression. HPV16 type was the most frequent (57.1%) followed by HPV-58 (14.2%) and HPV-56 (9.5%). The HPV alpha 9 species was the most frequent (76.1%) followed by alpha 6 and alpha 7. IGF-1Rb (85.7%), HIF1a (61.9%), GLUT1 (52.3%), and hTERT expression [cytoplasm and nucleus (90.4%)] were detected. The MCA factorial map showed different relationships, standing out, expression of hTERT and alpha 9 species HPV, expression of hTERT and IGF-1Rb expression [Fisher's exact test (P = 0.04)]. A slight trend of association was observed between, GLUT1 and HIF1 a expression, hTERT and GLUT1 expression. A noteworthy finding was the subcellular localization of hTERT in the nucleus and cytoplasm of CC cells and its possible interaction with IGF-1R in presence of HPV alpha 9 species. Our findings suggest that the expression of HIF1a, hTERT, IGF-1Rb and GLUT1 proteins that interact with some HPV species may contribute to cervical cancer development, and the modu lation of treatment response.

Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells.

The use of a new bioinformatics pipeline allowed the identification of deregulated transcription factors (TFs) coexpressed in lung cancer that could become biomarkers of tumor establishment and progression. A gene regulatory network (GRN) of lung cancer was created with the normalized gene expression levels of differentially expressed genes (DEGs) from the microarray dataset GSE19804. Moreover, coregulatory and transcriptional regulatory network (TRN) analyses were performed for the main regulators identified in the GRN analysis. The gene targets and binding motifs of all potentially implicated regulators were identified in the TRN and with multiple alignments of the TFs' target gene sequences. Six transcription factors (E2F3, FHL2, ETS1, KAT6B, TWIST1, and RUNX2) were identified in the GRN as essential regulators of gene expression in non-small-cell lung cancer (NSCLC) and related to the lung tumoral process. Our findings indicate that RUNX2 could be an important regulator of the lung cancer GRN through the formation of coregulatory complexes with other TFs related to the establishment and progression of lung cancer. Therefore, RUNX2 could become an essential biomarker for developing diagnostic tools and specific treatments against tumoral diseases in the lung after the experimental validation of its regulatory function.

hTERT Protein Expression in Cytoplasm and Nucleus and its Association With HPV Infection in Patients With Cervical Cancer.

BACKGROUND: Few studies have analyzed the association between human telomerase reverse transcriptase (hTERT) protein expression (nuclear and cytoplasmic localization), hTERT methylation status, and human papillomavirus (HPV) genotype infection in cervical cancer. PATIENTS AND METHODS: One hundred seventy-three patients with cervical cancer were analyzed. hTERT protein expression was detected by immunohistochemistry. hTERT DNA methylation analysis was performed using a PCR-RLB-hTERT assay, targeting two regions of the hTERT promoter. Type specific HPV infection was detected by using GP5+/GP6+PCR-RLB. RESULTS: hTERT protein expression was found in both cytoplasm and nucleus (78.0% of the samples showed a cytoplasmic localization and 79.8% had a nuclear localization). A statistically significant association was found between alpha 9 and 7 HPV species with a non-methylation pattern of the hTERT promoter and between these species and high expression of hTERT protein with nuclear localization. CONCLUSION: hTERT protein is found in both the nucleus and cytoplasm of patients with cervical cancer and confirm the relationship between the non-methylated status of hTERT promoter and some HPV species as well as the relationship between these species and hTERT protein expression.