ABSTRACT
Background: Lung cancer is considered as the most commonly diagnosed cancer. It is the leading cause of cancer-related mortality. Smoking and environmental pollutants act as important risk factors in majority of lung cancer cases (80%–90%). Material and Methods: This is a hospital-based study carried on in lung cancer patients of North India. Demographic profile of lung cancer patients was recorded. Hematological and biochemical profiles of lung cancer patients and healthy controls were compared. Results: Highest proportion of lung cancer was found in the age group of 46–60 years. Lung cancer was seen in highest number in male gender (76.63%) and also in those patients belonging to the rural category (84.58%). In this study, only 3.98% lung cancer patients having the past history of cancer and 5.47% showing the family history of cancer. Significant differences were found in weight and body mass index (BMI) of lung cancer patients when compared to healthy control (P < 0.0001). Hemoglobin (Hb) was found lower in lung cancer patients as compared with healthy controls. Significant difference was also observed in Hb levels of these two groups (P < 0.000). The serum protein level was lower in lung cancer patients than healthy controls. A significant difference was also observed in the protein levels of these two groups (P < 0.0001). Serum alkaline phosphatase (ALP) levels were higher in lung cancer patients in comparison to healthy controls. A significant difference was also observed in serum ALP levels in lung cancer patients as compared with healthy controls (P < 0.0001). Conclusions: Significant difference between BMI, Hb, serum albumin, and total protein was found in this study. These biomarkers may be helpful in the diagnosis of lung cancer at early stage and also in the follow-up assessment of the effects of treatment
ABSTRACT
Background: Lung cancer is one of the most frequent types of cancer and the leading cause of cancer-related deaths. Epidermal growth factor receptor (EGFR) is a receptor tyrosine kinase (TK) being highly expressed in lung cancers. Activation of EGFR through oncogenic mutations leads to upregulation of gene expression that may heighten the inflammatory response in certain situations. EGFR acts as a key regulator and a cellular hub for inflammatory cytokine signaling, thereby promoting tumor cell proliferation, invasion, migration, metastases, and survival. The aim of the present study is to determine the serum cytokines levels and EGFR mutation status in lung cancer patients to investigate the association between the EGFR mutation status and cytokines levels with lung cancer patients. Materials and Methods: Blood and tissue samples of lung cancer patients were collected. The EGFR mutations of lung cancer patients were determined by the immunohistochemistry (IHC) and serum cytokines levels of lung cancer patients were determined using ELISA. Results: Statistically significant association of EGFR mutations with adenocarcinoma subtypes and non-smokers were found (P < 0.05). Lung cancer patients with EGFR mutations had significantly higher tumor necrosis factor-alpha levels when compared to lung cancer patients without EGFR mutations (P < 0.01), and EGFR mutation status was not significantly associated with interleukin-6 levels (P = 0.24). Conclusion: EGFR mutation detection by the IHC method is a potentially useful tool to guide clinicians for personalized treatment of lung cancer patients of adenocarcinoma subtype, and cytokines are good biomarkers for the diagnosis, prognosis, and prediction of treatment responses in lung cancer patients as well as act as therapeutic targets. This study will provide biomarkers for lung cancer diagnosis and treatments