title: Combination of body mass index and oxidized low density lipoprotein receptor 1 in prognosis prediction of patients with squamous non-small cell lung cancer.
abstract: Lung cancer, especially non-small cell lung cancer (NSCLC), represents enormous challenges in continuously achieving treatment improvements. Besides cancer, obesity is becoming ever more prevalent. Obesity is increasingly acknowledged as a major risk factor for several types of common cancers. Significant mechanisms overlap in the pathobiology of obesity and tumorigenesis. One of these mechanisms involves oxidized low density lipoprotein receptor 1 (OLR1), as a link between obesity and cancer. Additionally, body mass index (BMI) has been widely used in exploiting the role of obesity on a series of diseases, including cancer. Significantly, squamous NSCLC revealed to be divergent clinical and molecular phenotypes compared with non-squamous NSCLC. Consequently, OLR1 immunostaining score and BMI were assessed by Fisher's linear discriminant analysis to discriminate if progression-free survival (PFS) would exceed 2 years. In addition, the final model was utilized to calculate the discriminant score in each study participant. Finally, 131 patients with squamous NCSLC were eligible for analysis. And a prediction model was established for PFS based on these 2 markers and validated in a second set of squamous NCSLC patients. The model offers a novel tool for survival prediction and could establish a framework for future individualized therapy for patients with squamous NCSLC.
authors.affiliation: Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.|Lung Cancer Institute of Sun Yat-Sen University, Guangzhou, China.|Department of Thoracic Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.|University of California, San Francisco, San Francisco, CA, USA.
authors.forename: Long
authors.initials: L
authors.lastname: Jiang
authors.affiliation: Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
authors.forename: Shanshan
authors.initials: S
authors.lastname: Jiang
authors.affiliation: Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.|Lung Cancer Institute of Sun Yat-Sen University, Guangzhou, China.|Department of Thoracic Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
authors.forename: Yongbin
authors.initials: Y
authors.lastname: Lin
authors.affiliation: Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.|Lung Cancer Institute of Sun Yat-Sen University, Guangzhou, China.|Department of Thoracic Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
authors.forename: Han
authors.initials: H
authors.lastname: Yang
authors.affiliation: Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.|Lung Cancer Institute of Sun Yat-Sen University, Guangzhou, China.|Department of Thoracic Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
authors.forename: Zerui
authors.initials: Z
authors.lastname: Zhao
authors.affiliation: Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.|Lung Cancer Institute of Sun Yat-Sen University, Guangzhou, China.|Department of Thoracic Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
authors.forename: Zehua
authors.initials: Z
authors.lastname: Xie
authors.affiliation: Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.|Lung Cancer Institute of Sun Yat-Sen University, Guangzhou, China.|Department of Thoracic Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
authors.forename: Yaobin
authors.initials: Y
authors.lastname: Lin
authors.affiliation: Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.|Lung Cancer Institute of Sun Yat-Sen University, Guangzhou, China.|Department of Thoracic Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Long
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000096:biosynthesis*; D015992:Body Mass Index; D002289:Carcinoma, Non-Small-Cell Lung / Q000378:metabolism* / Q000473:pathology*; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D007150:Immunohistochemistry; D008175:Lung Neoplasms / Q000378:metabolism* / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D011237:Predictive Value of Tests; D011379:Prognosis; D051127:Scavenger Receptors, Class E / Q000096:biosynthesis*
chemical_list: D014408:Biomarkers, Tumor; C495137:OLR1 protein, human; D051127:Scavenger Receptors, Class E
keywords: body mass index; oxidized low density lipoprotein receptor 1; prediction model; squamous non-small cell lung cancer