Dr Hiren Mandaliya

Background: Currently, there is no single validated biomarker which can prognosticate survival in patients with stage IV non-small cell lung cancer (NSCLC). This study examines the prognostic significance of four biomarkers: neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR) and advanced lung cancer inflammation index (ALI) in patients with stage IV NSCLC. Methods: This study aimed to establish the relationship between NLR, LMR, PLR, ALI and overall survival (OS) at baseline and post first cycle of treatment using Cox univariate PH models. We also studied these biomarkers in the elderly (age =70 years). Clinical data was sourced from Calvary Mater Newcastle between 2010 and 2015. Results: Baseline NLR, PLR, LMR and ALI showed strong association with OS. Five unit increase in NLR and PLR was associated with an 11% and 0.5% increase in the hazard of death respectively while 1 unit increase in ALI resulted in 4% increase in hazard of death. Five unit increase in LMR was associated with a 50% reduction in hazard of death. Post-treatment NLR and low ALI correlated with shorter OS but no statistically significant relationship could be demonstrated for PLR nor LMR. Similar prognostic trends were noted for elderly. Conclusions: High NLR, high PLR, low LMR and low ALI at baseline are significantly associated with poor OS. High NLR and low ALI are significantly associated with poor OS post treatment. Findings are similar regardless of age.

The successful treatment of the rare malignancy eccrine porocarcinoma (EP) is extremely challenging, often not rewarding and when associated with metastatic disease, therapy results are disappointing. We present a unique case of treatment response of metastatic EP, with a significant disease-free interval. The patient has remained in clinical and radiological remission for 36 months since diagnosis of metastatic disease.

Background: Cancer treatments can have long-term physical, psychological, financial, sexual and cognitive effects that may influence the quality of life. These can vary from urban to rural areas, survival period and according to the type of cancer. We here aimed to describe demographics and psychosocial analysis of cancer survivors three to five years post-treatment in rural Australia and also assess relationships with financial stress and quality of life domains. Materials and Methods: In this cross-sectional study, 65 participants visiting the outpatient oncology clinic were given a self-administered questionnaire. The inclusion criteria included three to five years post-treatment. Three domains were investigated using standardised and validated tools such as the Standard Quality of Life in Adult Cancer Survivors Scale (QLACS) and the Personal and Household Finances (HILDA) survey. Included were demographic parameters, quality of life, treatment information and well-being. Results: There was no evidence of associations between any demographic variable and either financial stress or cancer-specific quality of life domains. Financial stress was however significantly associated with the cancerspecific quality of life domains of appearance-related concerns, family related distress, and distress related to recurrence. Conclusions: This unique study effectively points to psychosocial aspects of cancer survivors in rural regions of Australia. Although the majority of demographic characteristics were not been found to be associated with financial stress, this latter itself is significantly associated with distress related to family and cancer recurrence. This finding may be of assistance in future studies and also considering plans to fulfil unmet needs.