• Journal of Pharmaceutical Investigation
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• v.40 no.4
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• pp.201-212
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• 2010

Self-organized nanogels from polysaccharide derivatives offer a promising approach in treatment of cancer due to their flexibility in chemistry and their ability to improve the therapeutic index of a drug by modifying biodistribution by their preferential localization at target sites and lower distribution in normal healthy tissues. These properties have promoted studies of active cancer targeting by self-organized nanogels for even better accumulation in solid tumors. However although many researchers have reported their potential by using cell culture systems and small animal tumor models in cancer therapy, these nanogels need more decoration such as conjugation with targeting moiety and endowment of stimuli-sensitivity for precise targeting of the cancer site. In this review, we summarize the recent efforts in developing novel targeting approaches via active endocytosis and stimuli-sensitive systems responding to hyperthermic or acidic tumor pH conditions.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6613-6618
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• 2013

To evaluate the relationship between alcohol drinking, XRCC1 codon 194 and 399 polymorphisms and risk of colorectal cancer, we conducted a case-control study with 315 colorectal cancer cases (105 colon, 210 rectal) and 439 population-based controls in Jiangsu Province of China. The XRCC1 codon 194 and 399 genotypes were identified using polymerase chain reaction and restrictrion fragment length polymorphism methods (PCR-RFLP). A structured questionnaire was used to elicit detailed information. Odds ratios (ORs) were estimated with an unconditional logistic model. In this study no significant differences were observed among the studied groups with regard to the genotype distribution of the XRCC1 codons 194 and 399 and the risk of colorectal cancer did not appear to be significantly influenced by genotype alone, whereas alcohol consumption showed a positive association (P for trend <0.01). When combined effects of XRCC1 polymorphisms and alcohol consumption were analyzed, we found that the 194Trp or 399Gln alleles further increased the colorectal cancer risk due to high alcohol intake. These findings support the conclusion that colorectal cancer susceptibility may be altered by gene-environment interactions.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5421-5425
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• 2015

To evaluate the relationship between the growth hormone 1 (GH1) T1663A polymorphism, recreational physical activity and body mass index (BMI) with reference to breast cancer, we conducted a case-control study with 669 cases of breast cancer and 682 population-based controls in Jiangsu Province, China. A structured questionnaire was used to elicit detailed information. All subjects completed an in-person interview. GH1 genotypes were identified using PCR-RFLP methods. Odds ratios (ORs) were estimated with an unconditional logistic model. The distribution of GH1 genotypes was not significantly different between controls and cases ($x^2$=2.576, P=0.276). Results of stratified analysis by the participation status of the recreational physical activity showed that the persons with GH1 A allele were at a decreased risk of breast cancer (adjusted-OR=0.66; 95% CI, 0.50-0.87) only among inactive individuals. Stratified analysis by BMI showed that the genotype A/A was associated with a decreased risk of breast cancer only among individuals of the BMI <25 (adjusted-OR=0.80; 95% CI, 0.66-0.98). The findings of this study suggest that recreational physical activity and BMI may modify any association between the GH1 T1663A polymorphism and breast cancer risk.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.639-641
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• 2016

Purpose: To establish a database for breast cancer patients to save and manage clinical data and to preliminarily investigate its clinical application. Materials and Methods: Information on breast cancer patients hospitalized in our department from 2008.01 to 2013.01 were input into our breast cancer management system. SPSS 16.0 software was used as a convenient reference to evaluate the accuracy of the newly built database. Results: A database of 2403 breast cancer patients was successfully established. Information in the database clearly displayed capabilities of storage, addition, retrieval, statistical analysis and other functions. As the continuously updated database showed, the distribution of age, sex, nationality, allergy history, pausimenia and marriage of patients was identical to that achieved by SPSS analysis, indicating reliable and accurate data analysis. Conclusions: The described database is easy and convenient to operate and manage, and should prove suitable for application in clinical research and treatment.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10381-10385
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• 2015

SKI-II has been reported as an inhibitor of sphingosine kinase 1 and has been extensively used to prove the involvement of sphingosine kinase and sphingosine-1-phosphate (Sphk1) in cellular processes. In the current study, we investigated the effects of SKI-II and its potential mechanisms in human gastric cancer SGC7901 cells. After treatment with SKI-II, cell growth, cell cycle distribution, apoptosis, expression of Sphk1, NF-${\kappa}B$, Bcl-2, Bax and p27 were assessed by MTT assay, flow cytometry, electron microscopy, immunocytochemistry and Western-blot assay, respectively. Our results showed that SKI-II markedly inhibited SGC7901 cell survival in a dose-dependent manner, reduced cell proliferation with accumulation of cells in the G0/G1 phase and induced apoptosis in the tumor cells. Furthermore, Western blotting and immunocytochemistry showed that the expression of p27 and Bax was increased significantly, but the expression of NF-${\kappa}B$, Bcl-2 and Sphk1 decreased by different degrees. These results indicate that SKI-II induced cell growth arrest and apoptosis. The increased apoptotic sensitivity of SGC7901 was correlated with NF-${\kappa}B$ or Bcl-2/Bax activation.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.2085-2089
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• 2013

Background: The purpose of this descriptive study was to investigate attitudes women of towards cervical cancer prevention applications and early diagnosis, and whether or not their hopelessness levels had any influence. Materials and Methods: The present study was carried out in Isparta with a descriptive design. A sample of 251 individuals was recruited from January 2011 through May 2011 in the largest tea garden (restaurant-cafe). The data collection tool consisted of two parts: a "Questionnaire Form" identifying women; and the "Beck Hopelessness Scale". Data were analyzed using the Statistical Package for the Social Sciences (SPSS version 16.0 for Windows for the numerical and percentage distribution, average, standard deviation with the ANOVA and Mann-Whitney tests. Results: Some 70.2 % of the woman indicated that they had not taken the Pap test. There was a significant relationship between the hopelessness level and women believing that they could protect themselves from getting cervical cancer (F=10.11 p=0.00). There was a significant relationship between hopelessness levels and believing whether or not early diagnosis tests are deterministic (F=8.781 p=0.00). Conclusion: Our study concluded that the hopelessness level of women had an effect on their thoughts about cervical cancer prevention and early diagnosis.

• Journal of Preventive Medicine and Public Health
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• v.27 no.3 s.47
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• pp.411-423
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• 1994

The survey methods for confirming the epidemicity and identifying the possible causes of the cancer epidemic can be different from those for infectious diseases. The procedure for confirming whether the outbreak is epidemic or not is quite different. Household survey for identifying cancer cases and residents actually living at the area should be done. Hospital survey for medical record review should be performed to identify all cancer cases among the residents of the outbreak area and confirmig the final diagnoses of the cancer cases. Comparing the level of cancer incidence or mortality with other areas can be done by using Poisson distribution, or calculating SIR (Standard Incidence Ratio) from cumulative incidence rates. Case-control study can be conducted to identify the etiologic, factors of the cancer epidemic and to establish strategy for preventing further recurrence of the outbreak.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.7-14
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• 2024

In this paper, we explore the application of RNA-sequencing data and ensemble machine learning to predict lung cancer and treatment strategies for lung cancer, a leading cause of cancer mortality worldwide. The research utilizes Random Forest, XGBoost, and LightGBM models to analyze gene expression profiles from extensive datasets, aiming to enhance predictive accuracy for lung cancer prognosis. The methodology focuses on preprocessing RNA-seq data to standardize expression levels across samples and applying ensemble algorithms to maximize prediction stability and reduce model overfitting. Key findings indicate that ensemble models, especially XGBoost, substantially outperform traditional predictive models. Significant genetic markers such as ADGRF5 is identified as crucial for predicting lung cancer outcomes. In conclusion, ensemble learning using RNA-seq data proves highly effective in predicting lung cancer, suggesting a potential shift towards more precise and personalized treatment approaches. The results advocate for further integration of molecular and clinical data to refine diagnostic models and improve clinical outcomes, underscoring the critical role of advanced molecular diagnostics in enhancing patient survival rates and quality of life. This study lays the groundwork for future research in the application of RNA-sequencing data and ensemble machine learning techniques in clinical settings.

• Proceedings of the Plant Resources Society of Korea Conference
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• 1998.10a
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• pp.51-79
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• 1998

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.5
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• pp.2073-2080
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• 2015

Background: The human papillomavirus (HPV) and its variants show wide geographical distribution and have been reported to cause cervical lesions. With cervical neoplasia as the leading cancer in Indian women, the aim of the present study was to evaluate the multiple infection HPV type distribution and variant genotypes in cervical samples from the coastal Karnataka region, India. Materials and Methods: A total of 212 samples were screened by nested polymerase chain reaction using PGMY9/11 and GP5+/6+ primers. HPV positive samples were sequenced to identify the types and a phylogenetic tree was constructed using the neighbor-joining method. Results: Sequence analysis identified a total of 14 HPV types distributed in 20%, 73.3% and 82.5% of non-malignant, pre-malignant [low grade squamous intraepithelial lesion (LSIL) and high grade squamous intraepithelial lesion (HSIL)] and cervical cancer samples. The distribution of high risk HPV in cancer samples was HPV 16, 76.4%, HPV18, 11.7%, HPV81, 2.9%, HPV31, 1.4%, HPV35, 1.4% and HPV 45, 1.4%. Multiple infections were observed in 11.8% of tumor samples with HPV 16 contributing to 62.5% of cases. In non-malignant samples, 20% of HPV positive samples were detected with HPV16, 82.3%, HPV33, 5.8% and HPV58, 5.8% and very low incidence of multiple infections. Comparative phylogenetic analysis of HPV variants identified 9 HPV sequences as new papillomavirus species, predominantly classified as European lineage type. Conclusions: The findings for HPV infections associated with progression of cervical cancer in coastal Karnataka region and HPV variant analysis provide baseline data for prevention and HPV vaccination programs.