Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
In Vivo
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
In Vivo

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Visit iiar on Facebook
  • Follow us on Linkedin
Research ArticleExperimental Studies

Significant Association of Interleukin-16 Genetic Variations to Taiwanese Lung Cancer

MENG-FENG WU, YUN-CHI WANG, TE-CHUN SHEN, WEN-SHIN CHANG, HSIN-TING LI, CHENG-HSI LIAO, CHI-LI GONG, ZHI-HONG WANG, CHIA-WEN TSAI, TE-CHUN HSIA and DA-TIAN BAU
In Vivo May 2020, 34 (3) 1117-1123; DOI: https://doi.org/10.21873/invivo.11883
MENG-FENG WU
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
3Division of Chest Surgery, Department of Surgery, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
YUN-CHI WANG
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
TE-CHUN SHEN
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
WEN-SHIN CHANG
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
HSIN-TING LI
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
CHENG-HSI LIAO
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
CHI-LI GONG
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ZHI-HONG WANG
4Department of Food Nutrition and Health Biotechnology, Asia University, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
CHIA-WEN TSAI
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: datian{at}mail.cmuh.org.tw artbau2{at}gmail.com
TE-CHUN HSIA
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
5Department of Respiratory Therapy, China Medical University, Taichung, Taiwan, R.O.C.
6Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: datian{at}mail.cmuh.org.tw artbau2{at}gmail.com
DA-TIAN BAU
1Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, R.O.C.
2Terry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, R.O.C.
7Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan, R.O.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: datian{at}mail.cmuh.org.tw artbau2{at}gmail.com
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: Interleukin-16 has been reported to exhibit tumoricidal effects, however, the contribution of IL-16 genotypes to lung cancer is still largely unrevealed. This study aimed at investigating whether IL-16 genotypes contribute to lung cancer susceptibility. Materials and Methods: IL-16 rs4778889, rs11556218, and rs4072111 genotypic characteristics were determined among 358 lung cancer patients and 716 controls via the polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP) methodology. Results: The highlight finding is that the distributions of genotypic (p=8.6E-10) and allelic (p=0.0001) frequencies of IL-16 rs11556218 was significantly different between cases and controls. In detail, the frequencies of IL-16 rs11556218 heterozygous variant TG and homozygous variant GG were 36.6 and 7.3% among the lung cancer patients, significantly higher than those among the controls (22.5% and 2.6%). On the other way, no difference was observed regarding IL-16 rs4778889 or IL-16 rs4072111. Conclusion: The present study indicates IL-16 rs11556218 G allele is significantly associated with increased Taiwan lung cancer risk.

  • Genotype
  • interleukin-16
  • lung cancer
  • single nucleotide polymorphism

Lung cancer remains a serious public health problem since it has been the leading cause of cancer mortality worldwide (1, 2). Although first-line chemotherapeutic approaches such as paclitaxel (PTX) and cisplatin (CDDP) doublet chemotherapy are effective for non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) (3-5), the 5-year survival rates are still very low (6-8). Thus, a better target or marker for advanced precise therapeutic approaches such as immunotherapy is urgently needed. To fulfill this aim, several groups have reported that specific genotypes are associated with increased lung cancer risk for cigarette smokers than non-smokers (9-16) and vice versa (17-20) from genomic investigations. These studies elucidating the contribution of both genomic and behavioral factors to lung cancer etiology may provide better therapeutic decision-making consulting systems for revealing the personalized etiology, precision therapy and genomic pharmacology of lung cancer.

Interleukin-16 (IL-16), a cytokine originally described as lymphocyte chemoattractant factor (LCF) in 1982 (21), is encoded by the IL-16 gene located on chromosome 15q26.3. It is composed of 631 amino acids and further cleaved by caspase 3 to active IL-16 comprising the C-terminal 121 amino acids (22-24). Binding together with CD4 protein, IL-16 is capable to activate CD4+ T cells, monocytes, macrophages, eosinophils, and dendritic cells, and promote their secretion of inflammatory cytokines, such as IL-1b (25), TNF-a, and IL-15 (26). Interestingly, elevated IL-16 levels were observed in several types of cancer tissues both in vitro and in vivo (27-33). Recently, a genome-wide association study reported that IL-16 genotype may be capable to serve as a practical marker for prostate cancer prediction (34). One study indicated that IL-16 rs11556218 T/G was significantly associated with the risk of colorectal cancer and gastric cancer patients (33). In the same study, both male and female patients carrying the G allele had a significantly higher risk for developing colorectal cancer and gastric cancer compared to T allele carriers. Alternatively, women carrying the T allele at IL-16 rs4072111 have a lower risk for colorectal cancer and gastric cancer compared than those carrying the C allele (33).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Cistribution of demographic data of 358 lung cancer patients and 716 matched non-cancer controls.

Despite the significance of IL-16 in cancer pathogenesis, no investigation of the association between IL-16 genotypes and lung cancer has been studied. Based on the highlights above, we aimed at evaluating whether rs4778889 T/C, rs11556218 T/G and rs4072111 C/T polymorphisms of IL-16 are associated with the personal risk to lung cancer in a representative Taiwan population. In addition, the joint effect of smoking status and IL-16 genotypes on lung cancer risk is also examined.

Materials and Methods

Investigated controls and cases. Briefly, three hundred and fifty-eight lung cancer patients were recruited at the China Medical University Hospital in central Taiwan. The demographic indexes of the lung cancer patients, including their histological details, were all graded and defined by expert surgeons led by Dr. Hsia. First, patients with lung cancer history of any other cancer and pulmonary diseases, such as chronic obstructive pulmonary disease (COPD), pneumothorax and asthma, were all excluded. Then, the participants, who were all Taiwanese, were asked to complete a self-administered questionnaire and provide their blood sample for genotyping studies after their agreeing to join this project. Second, twice the number of non-lung cancer healthy volunteers, as controls, were selected by a criterion matching for age, gender and smoking status after an initially random sampling from the Health Examination Cohort of the hospital. Third, the exclusion criteria for the controls included previous malignancy, metastasized cancer from other origin(s), and any well-known genetic or familial diseases. The study has been reviewed and approved by the Institutional Review Board with the document coded DMR100-IRB-284 and the written informed consents were collected from all the subjects in this project. The demographic characteristics such as the age, gender, smoking status and histological types are shown in Table I.

IL-16 genotyping conditions. Genomic DNA from the peripheral blood leucocytes of each lung cancer patient and control subject was prepared using the QIAamp Blood Mini Kit (Blossom, Taipei, Taiwan) (35, 36) and further processed in a typical polymerase chain reaction (PCR) processes as our previous papers (37-39). The designed primer sequences, corresponding restriction enzymes (New England BioLabs, Ipswich, MA, USA) and PCR products after enzyme digestion for IL-16 genotyping identification are shown in Table II. The PCR cycling were set as: one cycle at 94°C for 5 min; 35 cycles of 94°C for 30 s, 55°C for 30 s, and 72°C for 30 s; and a final extension at 72°C for 10 min. The agarose gel is 3% and the electrophoresis conditions are 100 Volt for 20 min. The genotyping analysis was conducted by three researchers independently and blindly. For each of the IL-16 SNP investigated in this study, 18 of the cases and 36 of the controls were chosen for direct sequencing. Overall, the genotypes identified by PCR-based RFLP methodology and direct sequencing methodology were one hundred percent concordant to each other.

Statistical analyses. Seven hundred and sixteen of the controls and 358 lung cancer patients with both genotypic and selected characters listed in Table I were analyzed. The Student's t-test was used to compare the difference of age between the case and control groups. Typical Pearson's Chi-square test was adopted for comparisons of the distributions for the IL-16 genotypes between the case and control groups. The associations between the IL-16 genotypes and lung cancer risk were estimated by computing odds ratios (ORs) and their 95% confidence intervals (CIs) from logistic regression analysis. Any comparison with p<0.05 was considered statistically significant.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Sequences of the primers, restriction enzymes and fragment identifications for IL-16 rs4778889, rs11556218 and rs4072111 genotyping.

Results

Table I summarizes the demographic characteristics of the 1,074 participants (358 patients with lung cancer and 716 non-cancer healthy controls) in this study. No significant difference on age, gender distribution or smoking and alcohol consumption status was identified between lung cancer and control groups, suggesting that subject matching based on these indexes was successful as we have designed. From the viewpoints of pathological identification, there were 60.9% of lung cancer patients belonging to the adenocarcinoma type, 29.6% of the lung cancer patients belonging to the squamous cell carcinoma type, and 9.5% belonging to other types (Table I).

In Table III, we summarize the distribution of genotypic frequencies of the 3 SNPs (rs4778889, rs11556218 and rs4072111 in IL-16) for all the investigated subjects. First, we investigated the genotypic frequencies for the three SNPs agreed with the Hardy-Weinberg equilibrium in the control group (all p>0.05). Second, noticeably, there is a significant difference in the distribution of IL-16 rs11556218 genotypic frequencies between lung cancer and control groups (p for trend=8.6E-10) (Table III, middle panel), but not for those of IL-16 rs4778889 or IL-16 rs4072111 (both p for trend >0.05) (Table III, top and bottom panels). In detail, the frequencies of the IL-16 rs11556218 heterozygous variant TG and homozygous variant GG were 36.6 and 7.3% among lung cancer patients, are significantly higher compared to those among the healthy controls (22.5% and 2.6%). Thus, the TG (OR=2.17, 95%CI=1.64-2.88, p=0.0001) and GG (OR=3.65, 95%CI=1.98-6.74, p=0.0001) genotype at IL-16 rs11556218 seemed to be a potential biomarker for higher risk of Taiwan lung cancer. Last, we combined the variant TG+GG at IL-16 rs11556218, and examined if the elevated risk for lung cancer risk still exists in this combined genotypes compared with wild-type TT genotype (OR=2.33, 95%CI=1.78-3.04, p=0.0001) (Table III, middle panel).

The distribution of allelic frequencies of the 3 SNPs in IL-16 are analyzed to validate the findings in Table IV. Consistent with the findings in Table III, the variant G allele at IL-16 rs11556218 was associated with a significantly elevated risk of lung cancer, compared to the wild-type allele T (OR=2.13, 95%CI=1.70-2.66, p=0.0001) (Table IV, middle panel). In detail, the frequencies of the T and G alleles of IL-16 rs11556218 were 74.4% and 25.6% among lung cancer patients, respectively, while are 86.1% and 13.9% among the healthy controls (Table IV, middle panel). On the contrary, neither the variant C allele of IL-16 rs4778889 nor variant T allele of IL-16 rs4072111 was associated with lung cancer risk (Table IV, top and bottom parts).

Since lung cancer is one of the smoking behavior-related cancers, we also examined the interaction between the genotype of IL-16 rs11556218 with personal smoking behavior among the investigated subjects. The joint effects of IL-16 rs11556218 genotype with individual smoking status are shown in Table V. The lung cancer patients and matched controls were stratified according to their smoking status. The results showed that there was also a significantly elevated lung cancer risk for those non-smokers with variant TG or GG genotypes at IL-16 rs11556218 (p=0.0022) (Table V, top panel). At the same time, ever smokers carrying variant TG and GG genotypes at IL-16 rs11556218 were at an increased risk of lung cancer (p=2.8E-7) (Table V, bottom panel). There is no joint effect between rs4778889 or IL-16 rs4072111 with smoking on lung cancer risk determination (data not shown).

Discussion

In the current study, we investigated the association of IL-16 genotypes and lung cancer risk in a moderate population of Taiwanese, containing 358 lung cancer patients and 716 age-, gender- and behavior-matched healthy controls (Table I). The results from PCR-RFLP showed that IL-16 rs11556218 G carriers were of a statistically higher risk for lung cancer (Tables III and IV). Thus, IL-16 rs11556218 TG and GG genotypes, but not any genotype at IL-16 rs4778889 or IL-16 rs4072111 (Table III), were novel genomic biomarkers for prediction of elevated lung cancer risk in Taiwan. We further found that variant genotypes of IL-16 rs11556218 were associated with elevated lung cancer risk among not only non-smoker but smoker subgroups (Tables V). These findings support the concept that functional polymorphisms of IL-16 involve in the lung cancer etiology.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table III.

Distribution of IL-16 rs4778889, rs11556218 and rs4072111 genotypes among the 358 lung cancer and the 716 controls.

The first SNP rs4778889 is an intronic polymorphic site, whose variations seemed not to contribute to altered lung cancer risk from the results (Tables III and IV). The third SNP rs4072111 is a polymorphic site in charge of a missense coding from wild-type Pro (C) to variant Ser (T), whose genetic variations seem not to contribute to altered lung cancer risk (Tables III and IV). The highlight findings focus on the second SNP rs11556218 we checked, which is also a polymorphic site in charge of a missense coding from wild-type Asn (T) to variant Lys (G). The results show that the variant G allele at IL-16 rs11556218 was associated with a significantly elevated risk of lung cancer, compared to the wild-type allele T (Table IV). In the literature, serum levels of IL-16 were reported to be higher in colorectal cancer and gastric cancer patients (33). However, no significant genotype-phenotype correlation between IL-16 rs11556218 polymorphisms and serum levels of IL-16 was observed in that study (33).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table IV.

Distribution of IL-16 rs4778889, rs11556218 and rs4072111 allelic frequencies among the 358 lung cancer and the 716 controls.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table V.

Distribution of IL-16 rs11556218 genotypes among 358 lung cancer and 716 controls after stratification by smoking status.

In the current study, we proposed a practical biomarker, the TG and GG genotypes at IL-16 rs11556218, for lung cancer prediction in Taiwan (Tables III and IV). The elevated risk was also found in several types of cancers including gastric cancer (33), colorectal cancer (33), HBV-related hepatocellular carcinoma (40) and nasopharyngeal carcinoma (41).

The genotype of IL-16 rs4778889 was found to be associated with the risk of renal cell carcinoma (42). In the most updated meta-analysis of IL-16 genotype and cancer, the C allele at IL-16 rs4778889 was found to significantly correlate with higher renal cell carcinoma risk, especially among Asian ethnicities (43). Different from those findings mentioned above, genotypes of IL-16 rs11556218 were not associated with the risk of the risk of renal cell carcinoma, and the mechanisms need further validation.

Since lung cancer is one of the smoking-related cancers, the interaction of the genotype of IL-16 rs11556218 and cigarette smoking status for the participants is further analyzed after we have revealed its contribution to lung cancer susceptibility in Table V. The results showed that the genotypic distribution of the variant genotypes of IL-16 rs11556218 was significantly different between lung cancer and control sub-groups both with and without the cigarette smoking habits (Table V). At the same time, there is no differential distribution observed for the genotypes of IL-16 rs4778889 nor rs4072111 among neither smokers nor non-smokers (data not shown). As for the gender difference, Gao and colleagues reported that both male and female patients carrying the G allele had a significantly higher risk for developing colorectal cancer and gastric cancer compared to individuals carrying the T allele (33). Their findings are similar to ours that no gender difference on the significance for IL-16 rs11556218 genotypes was observed. We also analyzed the interaction of the IL-16 rs11556218 genotype with age and alcohol drinking status finding that the interactions were significant both among younger and elderly groups, and also both in drinker and non-drinker groups (data not shown). Thus, the marker IL-16 rs11556218 is practically useful for lung cancer prediction among Taiwanese for both genders, and for those with or without smoking or alcohol drinking habits.

From the pathobiological viewpoint, the elevated levels of serum IL-16 have been found in metastatic cancers and correlated with poorer prognosis of several types of cancer including breast cancer, gastrointestinal cancer, renal cancer, ovarian cancer and myeloma (44, 45). Those SNPs on IL-16 such as rs11556218 have been reported to associate with risk to gastric cancer (46), colorectal cancer (46), prostate cancer (47) and renal cancer (48). Donati and colleagues demonstrated that IL-16 plays a role in early steps of lung cancer cell metastasis (49). In 2017, Pérez-Ramírez and colleagues reported that the variant GG genotypes at IL-16 rs7170924 could serve as a predictive marker for higher risk of death (50). In the current study, neither IL-16 rs11556218, rs4778889 nor rs4072111 could serve as a predictive marker for poorer prognosis of lung cancer in the aspects of metastasis or death risk (data not shown).

In conclusion, this study provides evidence that the TG and GG genotypes of IL-16 rs11556218 are associated with increased lung cancer risk among Taiwanese, no matter whether being with or without a personal smoking habit. Further studies with larger subject numbers from diverse ethnic populations are needed to verify our findings, in which potential gene-gene and gene-environmental interactions on lung cancer risk validations would be very valuable.

Acknowledgements

The Authors are grateful to the Tissue-bank of China Medical University Hospital and doctors/nurses under Prof. Hsia's leadership for their excellent sample collection and technical assistance. The technical assistance from Yu-Ting Chin, Tai-Lin Huang, Yu-Hsin Lin, Yi-Ru Huang and Yu-Chen Hsiau, the consultants of statistical analysis from Cheng-Li Lin are very helpful in manuscript preparation. This study was supported by research grants from China Medical University Hospital and Asia University (CMU108-ASIA-02) and from Taiwan Ministry of Science and Technology (MOST 106-2314-B-039-022) to Dr. Hsia.

Footnotes

  • Authors' Contributions

    Research design: Wu MF, Tsai CW; patient and questionnaire summaries: Shen TC, Hsia TC; experimental work: Wang YC, Chang WS, Li HT; statistical analysis: Liao CH, Gong CL, Wang ZH; manuscript writing: Tsai CW, Bau DT; review & revision: Bau DT, Chang WS, Tsai CW.

  • This article is freely accessible online.

  • Conflicts of Interest

    All the Authors declare no conflicts of interest regarding this study.

  • Received February 7, 2020.
  • Revision received March 2, 2020.
  • Accepted March 6, 2020.
  • Copyright © 2020 The Author(s). Published by the International Institute of Anticancer Research.

References

  1. ↵
    1. Siegel RL,
    2. Miller KD,
    3. Jemal A
    : Cancer statistics, 2015. CA Cancer J Clin 65: 5-29, 2015. PMID: 25559415. DOI: 10.3322/caac.21254
    OpenUrlCrossRefPubMed
  2. ↵
    1. Torre LA,
    2. Bray F,
    3. Siegel RL,
    4. Ferlay J,
    5. Lortet-Tieulent J,
    6. Jemal A
    : Global cancer statistics, 2012. CA Cancer J Clin 65: 87-108, 2015. PMID: 25651787. DOI: 10.3322/caac.21262
    OpenUrlCrossRefPubMed
  3. ↵
    1. Dimitroulis J,
    2. Rapti A,
    3. Stathopoulos GP,
    4. Rigatos S,
    5. Stathopoulos J,
    6. Koutantos J,
    7. Athanasiadis A,
    8. Tsikritsaki K,
    9. Karaindros D,
    10. Katis K,
    11. Antoniou D,
    12. Toumbis M,
    13. Giamboudakis P
    : Comparison of cisplatin-paclitaxel combination versus cisplatin-etoposide in patients with small-cell lung cancer: a phase III study. Oncol Rep 20: 879-884, 2008. PMID: 18813830. DOI: 10.3892/or_00000086
    OpenUrlPubMed
    1. Gupta N,
    2. Hatoum H,
    3. Dy GK
    : First line treatment of advanced non-small-cell lung cancer – specific focus on albumin bound paclitaxel. Int J Nanomedicine 9: 209-221, 2014. PMID: 24399877. DOI: 10.2147/IJN.S41770
    OpenUrlCrossRefPubMed
  4. ↵
    1. Rossi A,
    2. Chiodini P,
    3. Sun JM,
    4. O'Brien ME,
    5. von Plessen C,
    6. Barata F,
    7. Park K,
    8. Popat S,
    9. Bergman B,
    10. Parente B,
    11. Gallo C,
    12. Gridelli C,
    13. Perrone F,
    14. Di Maio M
    : Six versus fewer planned cycles of first-line platinum-based chemotherapy for non-small-cell lung cancer: a systematic review and meta-analysis of individual patient data. Lancet Oncol 15: 1254-1262, 2014. PMID: 25232001. DOI: 10.1016/S1470-2045(14)70402-4
    OpenUrlCrossRefPubMed
  5. ↵
    1. Li Z,
    2. Chen L,
    3. Qin Z
    : Paradoxical roles of IL-4 in tumor immunity. Cell Mol Immunol 6: 415-422, 2009. PMID: 20003817. DOI: 10.1038/cmi.2009.53
    OpenUrlCrossRefPubMed
    1. Liew MS,
    2. Sia J,
    3. Starmans MH,
    4. Tafreshi A,
    5. Harris S,
    6. Feigen M,
    7. White S,
    8. Zimet A,
    9. Lambin P,
    10. Boutros PC,
    11. Mitchell P,
    12. John T
    : Comparison of toxicity and outcomes of concurrent radiotherapy with carboplatin/paclitaxel or cisplatin/etoposide in stage III non-small cell lung cancer. Cancer Med 2: 916-924, 2013. PMID: 24403265. DOI: 10.1002/cam4.142
    OpenUrl
  6. ↵
    1. Spiro SG,
    2. Silvestri GA
    : One hundred years of lung cancer. Am J Respir Crit Care Med 172: 523-529, 2005. PMID: 15961694. DOI: 10.1164/rccm.200504-531OE
    OpenUrlCrossRefPubMed
  7. ↵
    1. Ji YN,
    2. Wang Q,
    3. Suo LJ
    : CYP1A1 Ile462Val polymorphism contributes to lung cancer susceptibility among lung squamous carcinoma and smokers: a meta-analysis. PLoS One 7: e43397, 2012. PMID: 22952673. DOI: 10.1371/journal.pone.0043397
    OpenUrlCrossRefPubMed
    1. Spitz MR,
    2. Gorlov IP,
    3. Dong Q,
    4. Wu X,
    5. Chen W,
    6. Chang DW,
    7. Etzel CJ,
    8. Caporaso NE,
    9. Zhao Y,
    10. Christiani DC,
    11. Brennan P,
    12. Albanes D,
    13. Shi J,
    14. Thun M,
    15. Landi MT,
    16. Amos CI
    : Multistage analysis of variants in the inflammation pathway and lung cancer risk in smokers. Cancer Epidemiol Biomarkers Prev 21: 1213-1221, 2012. PMID: 22573796 DOI: 10.1158/1055-9965.EPI-12-0352-T
    OpenUrlAbstract/FREE Full Text
    1. Hsia TC,
    2. Chang WS,
    3. Liang SJ,
    4. Chen WC,
    5. Tu CY,
    6. Chen HJ,
    7. Yang MD,
    8. Tsai CW,
    9. Hsu CM,
    10. Tsai CH,
    11. Bau DT
    : Interleukin-10 (IL-10) promoter genotypes are associated with lung cancer risk in Taiwan males and smokers. Anticancer Res 34: 7039-7044, 2014. PMID: 25503130.
    OpenUrlAbstract/FREE Full Text
    1. Hsia TC,
    2. Chang WS,
    3. Chen WC,
    4. Liang SJ,
    5. Tu CY,
    6. Chen HJ,
    7. Liang JA,
    8. Tsai CW,
    9. Hsu CM,
    10. Tsai CH,
    11. Bau DT
    : Genotype of DNA double-strand break repair gene XRCC7 is associated with lung cancer risk in Taiwan males and smokers. Anticancer Res 34: 7001-7005, 2014. PMID: 25503126.
    OpenUrlAbstract/FREE Full Text
    1. Hsia TC,
    2. Tsai CW,
    3. Liang SJ,
    4. Chang WS,
    5. Lin LY,
    6. Chen WC,
    7. Tu CY,
    8. Tsai CH,
    9. Bau DT
    : Effects of ataxia telangiectasia mutated (ATM) genotypes and smoking habits on lung cancer risk in Taiwan. Anticancer Res 33: 4067-4071, 2013. PMID: 24023351.
    OpenUrlAbstract/FREE Full Text
    1. Chen X,
    2. Lu H,
    3. Zhao M,
    4. Tashiro K,
    5. Cassis LA,
    6. Daugherty A
    : Contributions of leukocyte angiotensin-converting enzyme to development of atherosclerosis. Arterioscler Thromb Vasc Biol 33: 2075-2080, 2013. PMID: 23846498. DOI: 10.1161/ATVBAHA.113.301777
    OpenUrlAbstract/FREE Full Text
    1. Liu CJ,
    2. Hsia TC,
    3. Tsai RY,
    4. Sun SS,
    5. Wang CH,
    6. Lin CC,
    7. Tsai CW,
    8. Huang CY,
    9. Hsu CM,
    10. Bau DT
    : The joint effect of hOGG1 single nucleotide polymorphism and smoking habit on lung cancer in Taiwan. Anticancer Res 30: 4141-4145, 2010. PMID: 21036733.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Liu CJ,
    2. Hsia TC,
    3. Wang RF,
    4. Tsai CW,
    5. Chu CC,
    6. Hang LW,
    7. Wang CH,
    8. Lee HZ,
    9. Tsai RY,
    10. Bau DT
    : Interaction of cyclooxygenase 2 genotype and smoking habit in Taiwanese lung cancer patients. Anticancer Res 30: 1195-1199, 2010. PMID: 20530427.
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. Govindan R
    : Lung cancer in never smokers: a new hot area of research. Lancet Oncol 11: 304-305, 2010. PMID: 20304702. DOI: 10.1016/S1470-2045(10)70057-7
    OpenUrlPubMed
    1. Liu YL,
    2. Xu Y,
    3. Li F,
    4. Chen H,
    5. Guo SL
    : CYP2A6 deletion polymorphism is associated with decreased susceptibility of lung cancer in Asian smokers: a meta-analysis. Tumour Biol 34: 2651-2657, 2013. PMID: 23649654. DOI: 10.1007/s13277-013-0815-y
    OpenUrlCrossRefPubMed
    1. Lo YL,
    2. Hsiao CF,
    3. Jou YS,
    4. Chang GC,
    5. Tsai YH,
    6. Su WC,
    7. Chen KY,
    8. Chen YM,
    9. Huang MS,
    10. Hsieh WS,
    11. Chen CJ,
    12. Hsiung CA
    : Polymorphisms of MLH1 and MSH2 genes and the risk of lung cancer among never smokers. Lung Cancer 72: 280-286, 2011. PMID: 21093954. DOI: 10.1016/j.lungcan.2010.10.009
    OpenUrlPubMed
  10. ↵
    1. Wu X,
    2. Wang L,
    3. Ye Y,
    4. Aakre JA,
    5. Pu X,
    6. Chang GC,
    7. Yang PC,
    8. Roth JA,
    9. Marks RS,
    10. Lippman SM,
    11. Chang JY,
    12. Lu C,
    13. Deschamps C,
    14. Su WC,
    15. Wang WC,
    16. Huang MS,
    17. Chang DW,
    18. Li Y,
    19. Pankratz VS,
    20. Minna JD,
    21. Hong WK,
    22. Hildebrandt MA,
    23. Hsiung CA,
    24. Yang P
    : Genome-wide association study of genetic predictors of overall survival for non-small cell lung cancer in never smokers. Cancer Res 73: 4028-4038, 2013. PMID: 23704207. DOI: 10.1158/0008-5472.CAN-12-4033
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Center DM,
    2. Cruikshank W
    : Modulation of lymphocyte migration by human lymphokines. I. Identification and characterization of chemoattractant activity for lymphocytes from mitogen-stimulated mononuclear cells. J Immunol 128: 2563-2568, 1982. PMID: 7042840.
    OpenUrlPubMed
  12. ↵
    1. Baier M,
    2. Bannert N,
    3. Werner A,
    4. Lang K,
    5. Kurth R
    : Molecular cloning, sequence, expression, and processing of the interleukin 16 precursor. Proc Natl Acad Sci USA 94: 5273-5277, 1997. PMID: 9144227. DOI: 10.1073/pnas.94.10.5273
    OpenUrlAbstract/FREE Full Text
    1. Drwinga HL,
    2. Toji LH,
    3. Kim CH,
    4. Greene AE,
    5. Mulivor RA
    : NIGMS human/rodent somatic cell hybrid mapping panels 1 and 2. Genomics 16: 311-314, 1993. PMID: 8314568. DOI: 10.1006/geno.1993.1190
    OpenUrlCrossRefPubMed
  13. ↵
    1. Zhang Y,
    2. Center DM,
    3. Wu DM,
    4. Cruikshank WW,
    5. Yuan J,
    6. Andrews DW,
    7. Kornfeld H
    : Processing and activation of pro-interleukin-16 by caspase-3. J Biol Chem 273: 1144-1149, 1998. PMID: 9422780. DOI: 10.1074/jbc.273.2.1144
    OpenUrlAbstract/FREE Full Text
  14. ↵
    1. Mathy NL,
    2. Scheuer W,
    3. Lanzendorfer M,
    4. Honold K,
    5. Ambrosius D,
    6. Norley S,
    7. Kurth R
    : Interleukin-16 stimulates the expression and production of pro-inflammatory cytokines by human monocytes. Immunology 100: 63-69, 2000. PMID: 10809960. DOI: 10.1046/j.1365-2567.2000.00997.x
    OpenUrlCrossRefPubMed
  15. ↵
    1. Zheng Y,
    2. Cao KY,
    3. Ng SP,
    4. Chua DT,
    5. Sham JS,
    6. Kwong DL,
    7. Ng MH,
    8. Lu L,
    9. Zheng BJ
    : Complementary activation of peripheral natural killer cell immunity in nasopharyngeal carcinoma. Cancer Sci 97: 912-919, 2006. PMID: 16805822. DOI: 10.1111/j.1349-7006.2006.00252.x
    OpenUrlCrossRefPubMed
  16. ↵
    1. Kovacs E
    : The serum levels of IL-12 and IL-16 in cancer patients. Relation to the tumour stage and previous therapy. Biomed Pharmacother 55: 111-116, 2001. PMID: 11293814. DOI: 10.1016/s0753-3322(00)00023-8
    OpenUrlCrossRefPubMed
    1. Liebrich M,
    2. Guo LH,
    3. Schluesener HJ,
    4. Schwab JM,
    5. Dietz K,
    6. Will BE,
    7. Meyermann R
    : Expression of interleukin-16 by tumor-associated macrophages/activated microglia in high-grade astrocytic brain tumors. Arch Immunol Ther Exp (Warsz) 55: 41-47, 2007. PMID: 17221335. DOI: 10.1007/s00005-007-0003-0
    OpenUrlCrossRefPubMed
    1. Koike M,
    2. Sekigawa I,
    3. Okada M,
    4. Matsumoto M,
    5. Iida N,
    6. Hashimoto H,
    7. Oshimi K
    : Relationship between CD4(+)/CD8(+) T cell ratio and T cell activation in multiple myeloma: reference to IL-16. Leuk Res 26: 705-711, 2002. PMID: 12191564. DOI: 10.1016/s0145-2126(01)00192-8
    OpenUrlCrossRefPubMed
    1. Alexandrakis MG,
    2. Passam FH,
    3. Kyriakou DS,
    4. Christophoridou AV,
    5. Perisinakis K,
    6. Hatzivasili A,
    7. Foudoulakis A,
    8. Castanas E
    : Serum level of interleukin-16 in multiple myeloma patients and its relationship to disease activity. Am J Hematol 75: 101-106, 2004. PMID: 14755377. DOI: 10.1002/ajh.10444
    OpenUrlCrossRefPubMed
    1. Passam FH,
    2. Sfiridaki A,
    3. Pappa C,
    4. Kyriakou D,
    5. Petreli E,
    6. Roussou PA,
    7. Alexandrakis MG
    : Angiogenesis-related growth factors and cytokines in the serum of patients with B non-Hodgkin lymphoma; relation to clinical features and response to treatment. Int J Lab Hematol 30: 17-25, 2008. PMID: 18190463. DOI: 10.1111/j.1365-2257.2006.00890.x
    OpenUrlPubMed
    1. Blaschke V,
    2. Reich K,
    3. Middel P,
    4. Letschert M,
    5. Sachse F,
    6. Harwix S,
    7. Neumann C
    : Expression of the CD4+ cell-specific chemoattractant interleukin-16 in mycosis fungoides. J Invest Dermatol 113: 658-663, 1999. PMID: 10504456. DOI: 10.1046/j.1523-1747.1999.00717.x
    OpenUrlCrossRefPubMed
  17. ↵
    1. Gao LB,
    2. Rao L,
    3. Wang YY,
    4. Liang WB,
    5. Li C,
    6. Xue H,
    7. Zhou B,
    8. Sun H,
    9. Li Y,
    10. Lv ML,
    11. Du XJ,
    12. Zhang L
    : The association of interleukin-16 polymorphisms with IL-16 serum levels and risk of colorectal and gastric cancer. Carcinogenesis 30: 295-299, 2009. PMID: 19073878. DOI: 10.1093/carcin/bgn281
    OpenUrlCrossRefPubMed
  18. ↵
    1. Thomas G,
    2. Jacobs KB,
    3. Yeager M,
    4. Kraft P,
    5. Wacholder S,
    6. Orr N,
    7. Yu K,
    8. Chatterjee N,
    9. Welch R,
    10. Hutchinson A,
    11. Crenshaw A,
    12. Cancel-Tassin G,
    13. Staats BJ,
    14. Wang Z,
    15. Gonzalez-Bosquet J,
    16. Fang J,
    17. Deng X,
    18. Berndt SI,
    19. Calle EE,
    20. Feigelson HS,
    21. Thun MJ,
    22. Rodriguez C,
    23. Albanes D,
    24. Virtamo J,
    25. Weinstein S,
    26. Schumacher FR,
    27. Giovannucci E,
    28. Willett WC,
    29. Cussenot O,
    30. Valeri A,
    31. Andriole GL,
    32. Crawford ED,
    33. Tucker M,
    34. Gerhard DS,
    35. Fraumeni JF Jr..,
    36. Hoover R,
    37. Hayes RB,
    38. Hunter DJ,
    39. Chanock SJ
    : Multiple loci identified in a genome-wide association study of prostate cancer. Nat Genet 40: 310-315, 2008. PMID: 18264096. DOI: 10.1038/ng.91
    OpenUrlCrossRefPubMed
  19. ↵
    1. Chen GL,
    2. Shen TC,
    3. Chang WS,
    4. Tsai CW,
    5. Li HT,
    6. Chuang CL,
    7. Lai YL,
    8. Yueh TC,
    9. Hsia TC,
    10. Wang SC,
    11. Bau DT
    : The contribution of MMP-7 promoter polymorphisms to Taiwan lung cancer susceptibility. Anticancer Res 38: 5671-5677, 2018. PMID: 30275186. DOI: 10.21873/anticanres.12903
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Tsai CB,
    2. Hsia NY,
    3. Wang YC,
    4. Wang ZH,
    5. Chin YT,
    6. Huang TL,
    7. Yu CC,
    8. Chang WS,
    9. Tsai CW,
    10. Yin MC,
    11. Bau DT
    : The significant association of MMP-1 genotypes with Taiwan pterygium. Anticancer Res 40: 703-707, 2020. PMID: 32014911. DOI: 10.21873/anticanres.14000
    OpenUrlAbstract/FREE Full Text
  21. ↵
    1. Hsu SW,
    2. Gong CL,
    3. Hsu HM,
    4. Chao CC,
    5. Wang YC,
    6. Chang WS,
    7. Tsai YT,
    8. Shih LC,
    9. Tsai CW,
    10. Bau DT
    : Contribution of matrix metalloproteinase-2 promoter genotypes to nasopharyngeal cancer susceptibility and metastasis in Taiwan. Cancer Genomics Proteomics 16: 287-292, 2019. PMID: 31243109. DOI: 10.21873/cgp.20133
    OpenUrlAbstract/FREE Full Text
    1. Yueh TC,
    2. Hung YW,
    3. Shih TC,
    4. Wu CN,
    5. Wang SC,
    6. Lai YL,
    7. Hsu SW,
    8. Wu MH,
    9. Fu CK,
    10. Wang YC,
    11. Ke TW,
    12. Chang WS,
    13. Tsai CW,
    14. Bau DT
    : Contribution of murine double minute 2 genotypes to colorectal cancer risk in Taiwan. Cancer Genomics Proteomics 15: 405-411, 2018. PMID: 30194081. DOI: 10.21873/cgp.20099
    OpenUrlAbstract/FREE Full Text
  22. ↵
    1. Fu CK,
    2. Chien YC,
    3. Chuang HY,
    4. Wang YC,
    5. Hwang JJ,
    6. Yang MD,
    7. Yu CC,
    8. Chen JC,
    9. Chang WS,
    10. Bau DT,
    11. Tsai CW
    : The association of MMP7 promoter polymorphisms with gastric cancer. Anticancer Res 40: 695-702, 2020. PMID: 32014910. DOI: 10.21873/anticanres.13999
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Li S,
    2. Deng Y,
    3. Chen ZP,
    4. Huang S,
    5. Liao XC,
    6. Lin LW,
    7. Li H,
    8. Peng T,
    9. Qin X,
    10. Zhao JM
    : Genetic polymorphism of interleukin-16 influences susceptibility to HBV-related hepatocellular carcinoma in a Chinese population. Infect Genet Evol 11: 2083-2088, 2011. PMID: 22019522. DOI: 10.1016/j.meegid. 2011.09.025
    OpenUrlPubMed
  24. ↵
    1. Gao LB,
    2. Liang WB,
    3. Xue H,
    4. Rao L,
    5. Pan XM,
    6. Lv ML,
    7. Bai P,
    8. Fang WL,
    9. Liu J,
    10. Liao M,
    11. Zhang L
    : Genetic polymorphism of interleukin-16 and risk of nasopharyngeal carcinoma. Clin Chim Acta 409: 132-135, 2009. PMID: 19758567. DOI: 10.1016/j.cca.2009.09.017
    OpenUrlCrossRefPubMed
  25. ↵
    1. Wang Z,
    2. Xu Y,
    3. Zhu S
    : Interleukin-16 rs4778889 polymorphism contributes to the development of renal cell cancer in a Chinese population. Int J Clin Exp Pathol 8: 15228-15233, 2015. PMID: 26823871.
    OpenUrl
  26. ↵
    1. Zhou T,
    2. Li H,
    3. Xie WJ,
    4. Zhong Z,
    5. Zhong H,
    6. Lin ZJ
    : Association of methylenetetrahydrofolate reductase, vitamin D receptor, and interleukin-16 gene polymorphisms with renal cell carcinoma risk. Technol Cancer Res Treat 18: 1533033819859413, 2019. PMID: 31242814. DOI: 10.1177/1533033819859413
    OpenUrl
  27. ↵
    1. Kovacs E
    : The serum levels of IL-12 and IL-16 in cancer patients. Relation to the tumour stage and previous therapy. Biomed Pharmacother 55: 111-116, 2001. PMID: 11293814. DOI: 10.1016/s0753-3322(00)00023-8
    OpenUrlCrossRefPubMed
  28. ↵
    1. Yellapa A,
    2. Bitterman P,
    3. Sharma S,
    4. Guirguis AS,
    5. Bahr JM,
    6. Basu S,
    7. Abramowicz JS,
    8. Barua A
    : Interleukin 16 expression changes in association with ovarian malignant transformation. Am J Obstet Gynecol 210: 272 e271-210, 2014. PMID: 24380743. DOI: 10.1016/j.ajog.2013.12.041
    OpenUrlCrossRef
  29. ↵
    1. Gao LB,
    2. Rao L,
    3. Wang YY,
    4. Liang WB,
    5. Li C,
    6. Xue H,
    7. Zhou B,
    8. Sun H,
    9. Li Y,
    10. Lv ML,
    11. Du XJ,
    12. Zhang L
    : The association of interleukin-16 polymorphisms with IL-16 serum levels and risk of colorectal and gastric cancer. Carcinogenesis 30: 295-299, 2009. PMID: 19073878. DOI: 10.1093/carcin/bgn281
    OpenUrlCrossRefPubMed
  30. ↵
    1. Batai K,
    2. Shah E,
    3. Murphy AB,
    4. Newsome J,
    5. Ruden M,
    6. Ahaghotu C,
    7. Kittles RA
    : Fine-mapping of IL16 gene and prostate cancer risk in African Americans. Cancer Epidemiol Biomarkers Prev 21: 2059-2068, 2012. PMID: 22923025. DOI: 10.1158/1055-9965.EPI-12-0707
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Zhu J,
    2. Qin C,
    3. Yan F,
    4. Wang M,
    5. Ding Q,
    6. Zhang Z,
    7. Yin C
    : IL-16 polymorphism and risk of renal cell carcinoma: association in a Chinese population. Int J Urol 17: 700-707, 2010. PMID: 20529140. DOI: 10.1111/j.1442-2042.2010.02559.x
    OpenUrlCrossRefPubMed
  32. ↵
    1. Donati K,
    2. Sepult C,
    3. Rocks N,
    4. Blacher S,
    5. Gerard C,
    6. Noel A,
    7. Cataldo D
    : Neutrophil-derived interleukin 16 in premetastatic lungs promotes breast tumor cell seeding. Cancer Growth Metastasis 10: 1179064417738513, 2017. PMID: 29123422. DOI: 10.1177/1179064417738513
    OpenUrl
  33. ↵
    1. Perez-Ramirez C,
    2. Canadas-Garre M,
    3. Alnatsha A,
    4. Molina MA,
    5. Robles AI,
    6. Villar E,
    7. Delgado JR,
    8. Faus-Dader MJ,
    9. Calleja-Hernandez MA
    : Interleukins as new prognostic genetic biomarkers in non-small cell lung cancer. Surg Oncol 26: 278-285, 2017. PMID: 28807247. DOI: 10.1016/j.suronc.2017.05.004
    OpenUrl
PreviousNext
Back to top

In this issue

In Vivo
Vol. 34, Issue 3
May-June 2020
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on In Vivo.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Significant Association of Interleukin-16 Genetic Variations to Taiwanese Lung Cancer
(Your Name) has sent you a message from In Vivo
(Your Name) thought you would like to see the In Vivo web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
1 + 0 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Significant Association of Interleukin-16 Genetic Variations to Taiwanese Lung Cancer
MENG-FENG WU, YUN-CHI WANG, TE-CHUN SHEN, WEN-SHIN CHANG, HSIN-TING LI, CHENG-HSI LIAO, CHI-LI GONG, ZHI-HONG WANG, CHIA-WEN TSAI, TE-CHUN HSIA, DA-TIAN BAU
In Vivo May 2020, 34 (3) 1117-1123; DOI: 10.21873/invivo.11883

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Significant Association of Interleukin-16 Genetic Variations to Taiwanese Lung Cancer
MENG-FENG WU, YUN-CHI WANG, TE-CHUN SHEN, WEN-SHIN CHANG, HSIN-TING LI, CHENG-HSI LIAO, CHI-LI GONG, ZHI-HONG WANG, CHIA-WEN TSAI, TE-CHUN HSIA, DA-TIAN BAU
In Vivo May 2020, 34 (3) 1117-1123; DOI: 10.21873/invivo.11883
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

Cited By...

  • IL-16 Up-Regulation is Associated with Epithelial Ovarian Cancer Progression and Poor Prognosis in Patients
  • Association of Matrix Metalloproteinase-9 Genotypes With Lung Cancer Risk in Taiwan
  • The Significant Contribution of Interleukin-16 Genotypes, Smoking, Alcohol Drinking, and Helicobacter Pylori Infection to Gastric Cancer
  • The Contribution of DNA Ligase 4 Genetic Variations to Taiwanese Lung Cancer
  • Association of Interleukin-8 Promoter Genotypes With Taiwan Lung Cancer Risk
  • Significant Association of Chitinase 3-like 1 Genotypes to Asthma Risk in Taiwan
  • Significant Association of MMP2 Promoter Genotypes to Asthma Susceptibility in Taiwan
  • The Significant Interaction of Excision Repair Cross-complementing Group 1 Genotypes and Smoking to Lung Cancer Risk
  • Google Scholar

More in this TOC Section

  • Live Porphyromonas gingivalis and Candida albicans Synergistically Induce RANKL in Osteoblast-like PDLFs But Not in Undifferentiated PDLFs
  • Antagonistic Effect of Erythropoietin Receptor Signaling in Macrophages and Type II Alveolar Epithelial Cells on Pulmonary Fibrosis in Mice
  • Association of TIMP2 Gene Variants With Development of Diabetic Retinopathy
Show more Experimental Studies

Keywords

  • genotype
  • interleukin-16
  • lung cancer
  • single nucleotide polymorphism
In Vivo

© 2026 In Vivo

Powered by HighWire