ABSTRACT
Purpose: Advanced ovarian cancer (AOC) and its treatment cause several symptoms and impact on patients' health-related quality of life (HRQoL). We aim to reach a consensus on the most relevant patient-reported outcome (PROs), the corresponding measures (PROMs), and measurement frequency during AOC patients' follow-up from patients' and healthcare professionals' (HCP) perspective. Methods: The project comprised five steps: 1) a literature review, 2) a focus group with patients, 3) a nominal group with HCP, 4) two round-Delphi consultations with patients and HCP, and 5) a final meeting with HCP. Delphi questionnaire was elaborated based on literature review, focus group (n=5 patients), and nominal group (n=16 HCP). The relevance of each PRO and the appropriateness (A) and feasibility (F) of the proposed PROM were assessed (Likert scale 1=strongly agree; 9=strongly disagree). The consensus was reached when at least 75% of the panelists rated it as 'relevant', 'appropriate', or 'feasible' (score 7-9). Results: A total of 56 HCP [51.8% Hospital Pharmacy; 41.1% Oncology; 3.6% Nursing; and 3.6% Psycho-oncology; mean time in specialty 12.5 (8.0) years] and 10 AOC patients [mean time diagnosis 5.4 (3.0) years] participated in the 1st round. All PROs achieved consensus regarding their relevance, except dry skin (58.0%). Agreement was reached for PRO-CTCAE to be used to assess fatigue (A:84.9%; F:75.8%), neuropathy (A:92.4%; F:77.3%), diarrhea (A:87.9%; F:88.7%), constipation (A:86.4%; F:75.8%), nausea (A:89.4%; F:75.8%), insomnia (A:81.8%; F:88.7%), abdominal bloating (A:82.2%; F:82.2%) and sexuality (A:78.8%; F:88.6%); EQ-5D to determine patients' HRQoL (A:87.9%; F:80.3%), pain (A:87.9%; F:75.8%) and mood (A:77.7%; F:85.5%); to assess treatment adherence the Morisky-Green (A:90.9%; F:84.9%) and the dispensing register (A:80.3%; F:80.3%) were chosen. It was agreed to note in the medical record whether the patient's treatment preferences had been considered during decision-making (A:78.8%; F:78.8%) and to use a 5-point Likert scale to assess treatment satisfaction (A:86.4%; F:86.4%). Panelists agreed (A:92.4%; F: 77.3%) to collect these PROs (1) at the time of diagnosis/relapse; (2) one month after starting treatment/change therapeutic strategy; (3) every three months during the 1st-year of treatment; and later (4) every six months until treatment completion/change. Conclusions: The consensus reached represents the first step towards including the patient's perspective in AOC follow-up. The standardized collection of PROs in clinical practice may contribute to optimizing the follow-up of these patients and thus improving the quality of care.
ABSTRACT
BACKGROUND: Hepatocellular carcinoma (HCC) tends to develop in the liver when there is a high level of background inflammation (cirrhosis). Treatment options are limited and mainly based on systemic therapies such as anti-angiogenic drugs (e.g. sorafenib). Connective tissue growth factor (CTGF) is a matricellular protein involved in inflammation, tumour growth and angiogenesis. The aim of this study is to determine the expression of CTGF and hypoxia inducible factors (HIF) in HCC and to clarify its impact on relapse and survival. MATERIAL AND METHODS: Eligibility criteria for the study consisted of patients with a diagnosis of HCC, formalin-fixed and paraffin-embedded (FFPE) biopsy tissue, as well as relapse and available survival data. A tissue microarray was constructed from ≥ 70% tumoural sections. The expressions of CTGF, HIF1α and HIF2α were analysed by immunohistochemistry. The relationship between expression of CTGF/HIF1α and CTGF/HIF2α were analysed. Univariate and multivariate analyses were performed. RESULTS: Fifty-three patients were screened; 39 patients were eligible for this study. Patients were treated with radical intent. At the end of follow up, 59% patients relapsed (28.2% locally, 10.3% multicentric liver relapse and 7.7% distant metastases). Estimated median disease-free survival (DFS) and overall survival (OS) were 23.4 (95%CI 7.18-39.66) and 38.6 months (95%CI 30.7-46.6), respectively. Expression of CTGF was: negative 23.1%, focal 48.7% and diffuse 23.1%. A non-statistically significant relationship between expression of CTGF and HIF was shown supporting an alternative pathway for CTGF expression in HCC. In multivariate analysis CTGF expression was an independent factor related to OS, with shorter survival in those patients with focal/diffuse CTGF expression (HR 2.46; 95%CI 1.18-5.15). CONCLUSIONS: Our results support that expression of CTGF is an independent factor associated with shorter OS in HCC. Further analysis of CTGF expression in a larger series of HCC patients is required to confirm CTGF as a prognostic biomarker in HCC.
