PROgnostic Model for Advanced Cancer (PRO-MAC)

Symptom severity reported by older adults with cancer and its impact on survival prognostication

INTRODUCTION

Symptom burden is a crucial factor for survival prognostication, but older adults may report fewer and less severe symptoms than younger patients. We investigated the impact of age on symptom severity and its prognostic implications in the prognostic model for advanced cancer (PRO-MAC).

MATERIALS AND METHODS

Eight hundred forty subjects with incurable cancer, who were reviewed by palliative medicine at a tertiary university hospital, were categorized into four groups based on age: < 65 (young), 65-74 (young-old), 75-84 (old-old), and ≥ 85 (oldest-old) for comparison. The study compared individual symptoms reported on the Edmonton Symptom Assessment System-revised (ESAS-r) and analyzed the significance of each prognostic variable in the PRO-MAC model using multivariate Cox proportional hazards regression analysis for all age categories. We generated the log-rank test for each age group to evaluate the effectiveness of PRO-MAC across age groups.

RSULTS

The older adults had significantly lower unadjusted mean scores in pain, tiredness, anxiety, wellbeing, and ESAS-r summative score compared to young adults. There was a higher proportion of older adults with no symptoms. The ESAS-r summative score remained a significant prognostic factor only in the young and young-old groups. More participants in the older age groups had dementia, which may impact reporting of symptom severity. Despite these findings, the PRO-MAC model remains applicable across all age groups as a multi-domain 90-day survival prognostication tool.

DISCUSSION

Symptom burden, including pain, tiredness, anxiety, wellbeing, as well as summative ESASr scores, are lower in older adults with cancer. This could affect the prognostication of survival using symptom burden. However, a multi-dimensional prognostic model like PRO-MAC remains effective for older adults with advanced cancer. Further research is needed to explore tools that can help older adults express the severity of their symptoms and incorporate this into survival prognostication.

Integrative analysis of aging-related genes reveals CEBPA as a novel therapeutic target in non-small cell lung cancer

BACKGROUND

To explore the impact of ARGs on the prognosis of NSCLC, and its correlation with clinicopathological parameters and immune microenvironment. Preliminary research on the biological functions of CEBPA in NSCLC.

METHODS

Using consensus clustering analysis to identify molecular subtypes of ARGs in NSCLC patients; employing LASSO regression and multivariate Cox analysis to select 7 prognostic risk genes and construct a prognostic risk model; validating independent prognostic factors of NSCLC using forest plot analysis; analyzing immune microenvironment correlations using ESTIMATE and ssGSEA; assessing correlations between prognostic risk genes via qPCR and Western blot in NSCLC; measuring mRNA and protein expression levels of knocked down and overexpressed CEBPA in NSCLC using CCK-8 and EdU assays; evaluating the effects of knocked down and overexpressed CEBPA on cell proliferation using Transwell experiments; examining the correlation of CEBPA with T cells and B cells using mIHC analysis.

RESULTS

Consensus clustering analysis identified three molecular subtypes, suggesting significant differential expression of these ARGs in NSCLC prognosis and clinical pathological parameters. There was significant differential expression between the two risk groups in the prognostic risk model, with P < 0.001. The risk score of the prognostic risk model was also P < 0.001. CEBPA exhibited higher mRNA and protein expression levels in NSCLC cell lines. Knockdown of CEBPA significantly reduced mRNA and protein expression levels of CEBPB, YWHAZ, ABL1, and CDK1 in H1650 and A549 cells. siRNA-mediated knockdown of CEBPA markedly inhibited proliferation, migration, and invasion of NSCLC cells, whereas overexpression of CEBPA showed the opposite trend. mIHC results indicated a significant increase in CD3 + CD4+, CD3 + CD8+, and CD20 + cell counts in the high CEBPA expression group.

CONCLUSIONS

The risk score of the prognostic risk model can serve as an independent prognostic factor, guiding the diagnosis and treatment of NSCLC. CEBPA may serve as a potential tumor biomarker and immune target, facilitating further exploration of the biological functions and immunological relevance in NSCLC.

Protocol for a randomised controlled trial on impact of comprehensive geriatric and supportive assessment versus standard care in older adults with cancer undergoing curative treatment: The Geriatric Oncology SuPportive clinic for ELderly (GOSPEL) study

Cancer affects older adults with varying levels of frailty, but cancer treatment is extrapolated from clinical trials involving predominantly young and robust subjects. Recent geriatric oncology randomised controlled trials (RCT) report that geriatric assessment leading to frailty-guided intervention reduces treatment-related toxicity whilst maintaining survival and improving quality of life (QoL). However, these positive results have not have been consistently reported in the literature. We postulate that the impact of geriatric interventions has been underestimated in these studies with the inclusion of subjects receiving palliative-intent chemotherapy in whom dose reduction is common. Integrating supportive care with current geriatric oncology models may improve the QoL of older adults undergoing treatment. However, no studies as yet have examined such integrated geriatric and supportive models of care. The Geriatric Oncology SuPportive clinic for Elderly (GOSPEL) study is a single-centre, open-label, analyst-blinded RCT evaluating the impact of comprehensive geriatric and supportive care on QoL of older adults with cancer undergoing curative treatment. Older adults aged above 65, with a Geriatric-8 score ≤ 14, with plans for high dose radiotherapy and/or curative chemotherapy will be recruited. The primary QoL outcome is measured using the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-ELD14 mobility scale at 12 weeks. Secondary outcomes include overall and disease-free survival, treatment-related adverse events, and hospital admissions. We pre-powered this study to recruit 200 subjects based on the minimally clinically important difference for EORTC QLQ-ELD14 to achieve 80% statistical power (alpha 0.05), assuming 25% attrition. Outcomes will be analysed using intention-to-treat. Intervention consists of multi-domain comprehensive geriatric and supportive care assessments from a multidisciplinary team targeting unmet needs. These include functional decline, falls, incontinence, cognitive impairment, multi-morbidity, polypharmacy, and symptom relief, as well as social and psycho-spiritual concerns. Standard care entails routine oncological management with referral to geriatrics based on the discretion of the primary oncologist. Recruitment has been ongoing since August 2020. Results from the GOSPEL study will increase understanding of the impact of integrated geriatric and supportive care programs in older adults with cancer receiving curative treatment. Trial registration: This study is registered under ClinicalTrials.gov (ID NCT04513977).

Evaluation of the Prognostic Capacity of a Novel Survival Marker in Patients with Sinonasal Squamous Cell Carcinoma

Sinonasal squamous cell carcinoma (SNSCC) is a malignant tumor associated with poor survival, and easily obtainable prognostic markers are of high interest. Therefore, we aimed to assess the prognostic value of a novel survival index (SI) combining prognostic values of clinical (T and N classifications and invasion across Ohngren’s line), inflammatory (neutrophil-to-lymphocyte ratio), and nutritional (albumin and body-mass index) markers. All patients with primarily treated SNSCC between 2002 and 2020 (n = 51) were included. Each of the six SI components was stratified into a low- (0) and high-risk (1) categories. Subsequently, the cohort was stratified into low- (SI of 0–2) and high-risk SI groups (SI of 3–6). Overall survival (OS) and disease-free survival (DFS) were compared between patients with low- and high-risk SI. The log-rank test was used to test for statistical significance. Overall, the mortality rate was 41.2% (n = 21), and the recurrence rate was 43.1% (n = 22). We observed significantly better OS in patients with low-risk SI (n = 24/51, 47.1%, mean OS: 7.9 years, 95% confidence interval (CI): 6.3–9.6 years) than in high-risk SI (n = 27/51, 52.9%, mean OS: 3.4 years, 95% CI: 2.2–4.5 years; p = 0.013). Moreover, we also showed that patients with low-risk SI had a longer DFS than patients with high-risk SI (mean DFS: 6.4, 95% CI: 4.8–8.0 vs. mean DFS: 2.4 years, 95% CI 1.3–3.5, p = 0.012). The SI combines the prognostic capacity of well-established clinical, radiologic, inflammatory, and nutritional prognosticators and showed prognostic potential in our cohort of SNSCC patients.