Malnutrition is a problem affecting tumor patients greatly. This study aims to investigate whether demographic characteristics are related to the malnutrition of cancer patients. Twenty-three thousand nine hundred and four (23,904) patients with 16 common malignant tumors were enrolled in the study. Patient Generated Subjective Global Assessment (PG-SGA) was used as a screening tool to assess the nutritional risk of patients and analysis of variance was used to compare PG-SGA scores of patients. Correlations between PG-SGA scores and demographic characteristics were evaluated by correlation analysis. We observed that 57.88% tumor patients had some degree of malnutrition (score ≥4) and only 20.61% were well-nourished (score 0–1). Screening scores were higher among older patients for most of the tumors. PG-SGA scores showed the significant difference between females and males in some tumors. In addition, the PG-SGA scores of some tumors were significantly different in various types of medical insurances, education levels, occupations, regions, and nationalities. Correlation analysis indicated the existence of associations between PG-SGA scores and demographic characteristics. Understanding the distribution of nutritional risk of tumor patients and the correlations between the PG-SGA scores and demographic characteristics could help identify subgroups who may benefit from targeted interventions to improve the effect of clinical treatment and the quality of life for oncology patients.

H19, a maternally expressed imprinted gene transcribing a long noncoding RNA, has previously been reported to be involved in tumorigenesis and cancer progression. However, the association between the H19 polymorphisms and breast cancer (BC) susceptibility has remained elusive. The aim of this study was to evaluate the associations between 2 H19 haplotype tagging SNPs (rs3741219 T>C, rs217727 C>T) and the risk of breast cancer. Our study comprised 464 BC patients and 467 cancer-free controls in China. rs3741219 and rs217727 were genotyped with polymerase chain reaction-restriction fragment-length polymorphism (PCR-RFLP) and created restriction site PCR (CRS-RFLP) assays, respectively. False-positive report probability (FPRP) was calculated to test the false-positive association. On performing univariate analysis, no significant association between H19 polymorphisms (rs3741219 and rs217727) and BC was observed. However, in further stratified analyses, CT+TT genotypes of rs217727 had a significantly lower risk of breast cancer among women with number of pregnancy >2 (OR = 0.79; 95% CI = 0.55-0.97). CT genotype of rs217727 was associated with ER positivity (OR = 2.19; 95 % CI = 1.07-4.45) and HER-2 positivity (OR = 1.34; 95 % CI = 1.05-2.12). It was proved that our results were less likely to be false positives according to false-positive report probability calculation. Our findings extend available data on the association of H19 polymorphisms and BC susceptibility. Further validation in large population or cohort studies is needed.