Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Research Articles

Diurnal, Weekly, and Long-Time Variation in Serum Concentrations of YKL-40 in Healthy Subjects

Julia S. Johansen, Tine Lottenburger, Hans Jørgen Nielsen, Jens Erik B. Jensen, Mads N. Svendsen, Gine Kollerup and Ib J. Christensen
Julia S. Johansen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tine Lottenburger
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hans Jørgen Nielsen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jens Erik B. Jensen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mads N. Svendsen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gine Kollerup
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ib J. Christensen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1055-9965.EPI-07-2766 Published October 2008
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Serum YKL-40 is a potential biomarker of prognosis in cancer patients, but assessment of serum YKL-40 requires knowledge of its normal variation. In this study, we evaluated diurnal, weekly, and long-term variation in serum YKL-40 in healthy subjects using a commercial ELISA. The intra-assay coefficient of variation was ≤5.0% and interassay ≤10.2%. Systematic changes in diurnal measurements of serum YKL-40 could not be shown. Physical exercise for 20 min had no effect on serum YKL-40. The within-subject coefficient of variation, including variation over time and interassay, was 28.8% and 30.2% over a period of 2 and 3 years, and the intraclass correlation coefficients were 72.4% and 72.2%, indicating reasonable reliability of serum YKL-40 measurements. The 95% confidence limits for the difference between two measurements (same subject), including interassay variation, were a 52% reduction and a 109% increase in serum YKL-40. These studies show that relatively small variation is found in serum YKL-40 in healthy subjects. However, a single measurement of serum YKL-40 from an individual may not have a prognostic value, and serum YKL-40 alone cannot be a good biomarker for cancer because serum YKL-40 can be elevated in patients with other diseases characterized by inflammation and tissue remodeling. (Cancer Epidemiol Biomarkers Prev 2008;17(10):2603–8)

  • Cancer biomarker
  • CHI3L1
  • YKL-40
  • normal variation

Introduction

YKL-40 is produced by cancer cells and tumor-associated macrophages (1). Serum YKL-40 is elevated compared with healthy subjects in many patients with primary or metastatic carcinoma of the breast (2), colorectal (3), ovary (4, 5), lung (6), prostate (7), kidney (8), endometrial (9), cervical (10), and head and neck (11), and in patients with glioblastoma (12, 13), melanoma (14, 15), acute myeloid leukemia (16), and multiple myeloma (17). Figure 1 shows the distribution of serum YKL-40 in patients with different types of cancer, showing the range, median, and the percentage with elevated levels. In these studies, high serum YKL-40 was an independent prognostic biomarker of short recurrence– or progression-free interval and short overall survival. This was found in patients with local or metastatic cancer, at time of first cancer diagnosis and at time of relapse, and serum YKL-40 was independent of other biomarkers when tested in multivariate Cox analysis (e.g., estrogen receptor status, HER2, CEA, CA125, and LDH; refs. 1-17).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

The distribution of serum YKL-40 in 13 cancer diseases. Left, the range and median serum YKL-40 levels. Right, the percentages of patients with elevated serum YKL-40 (compared with levels in healthy age- and gender-adjusted subjects; the upper limit defined as the 95th percentile). a, localized disease; b, regional or distant metastasis (1-17).

However, serum YKL-40 is not specific for cancer. Elevated serum YKL-40 is found in patients with diseases characterized by acute or chronic inflammation and high remodeling of the extracellular matrix as found in, for example, rheumatoid arthritis, inflammatory bowel disease, asthma, and liver fibrosis (18, 19).

Normal variation in a circulating biomarker may affect the interpretation and usefulness of a biomarker in patients with cancer. The aims of the present study were to determine the diurnal-, short-term, and long-term variations in serum YKL-40 in healthy subjects.

Materials and Methods

Reference Interval

Serum was collected from 245 healthy subjects (women-men, 134:111; median age, 49 years; range, 18-79).

Diurnal Variation

Serum was collected 7 times during a 24-h period (day 1: 10 a.m., 1 p.m., 4 p.m., 7 p.m., 10 p.m.; day 2: 7 a.m., 10 a.m.) from 16 healthy subjects (10:6; 48 years; range, 32-66).

Day-to-Day Variation over 3 Weeks

Serum was collected at 8 a.m., 5 times during a 3-week period (day 1, 2, 8, 15, and 22), from 38 subjects recruited from the hospital staff (21:17; 41 years; range, 22-66). At day 8, samples were also collected at 2 p.m.

Week-to-Week Variation over 2 Years

Serum was collected from 23 subjects recruited from the hospital staff (14:9; 42 years; range, 31-66) at 8 a.m., 5 times during a 3-week period (day 1, 2, 8, 15, and 22), and repeated 6, 12, and 24 months later.

Variation over 3 Years

Serum was collected between 8 and 10 a.m., 5 times during a 4-week period (day 1, 8, 15, 22, and 29), from 30 healthy women (48 years; range, 24-62), and repeated 3 years later in 21 of the subjects.

Variation after Exercise

Serum was collected before physical exercise, immediately after a biphasic 25-min exercise program using an ergometer bicycle, and 1 and 3 h postexercise from 14 healthy subjects (10:4; 50 years; range, 35-64).

The healthy subjects included in the present study had no medical history, did not experience any symptoms, had no signs of disease, and were not taking any medicine.

Ethics

The studies were approved by the regional scientific ethical committee and carried out in accordance with the Declaration of Helsinki. The subjects were informed about the studies verbally and in writing, and all gave their written informed consent. All were informed that they could stop the study at any time.

YKL-40 ELISA

Proper handling of blood samples are important to minimize changes in serum YKL-40 that are not related to disease processes but represent methodologic variability (1, 18, 20). Blood samples were allowed to clot at room temperature, centrifuged within 0.5 to 2 h at minimum 2,500 × g for 10 min, and serum was stored at -80°C until analysis. Serum YKL-40 was determined in duplicates by a commercial two-site, sandwich-type ELISA (Quidel Corporation) using streptavidin-coated microplate wells, a biotinylated-Fab monoclonal capture antibody, and an alkaline phosphatase–labeled polyclonal detection antibody (20). The recovery of the ELISA was 102% and detection limit 20 μg/L (18, 20). The intra-assay coefficient of variation was ≤5.0% and interassay coefficients of variation ≤10.2%.7 Samples from each subject were analyzed on the same ELISA plate.

Statistical Analysis

Descriptive statistics for serum YKL-40 were presented by the median or the geometric mean, coefficient of variation, and 95% confidence interval, and range. The distribution of serum YKL-40 is skewed, and therefore, the log transform (natural) is used for statistical estimation. The reference interval was estimated using linear regression with YKL-40 on the log scale. The variations in serum YKL-40 analyzed over time (variability during 24 h and over 3 weeks, 6 months, 12 months, 24 months, and 3 years) were given by the coefficient of variation and compared with the intra- and interassay coefficient of variation of the YKL-40 ELISA. The variance components for within-subjects, between subjects, and between rounds were estimated assuming a random effects model with YKL-40 log transformed (multiplicative model) and presented by the coefficient of variation of the geometric means (21). The 95% confidence limits for the difference between two measurements of YKL-40 in an individual were calculated on the log scale and back transformed. The relative homogeneity between subjects compared with the total variation was estimated by the intraclass correlation coefficient. Serum YKL-40 in the analysis of diurnal long-term variation and physical activity were analyzed using a general linear model with repeated measures. P values <5% were considered significant. P values for multiple testing were corrected using the Bonferroni Correction. All statistical calculations were done using SAS (9.1, SAS Institute).

Results

In healthy subjects, the median serum YKL-40 was 43 μg/L (range, 20-184 μg/L; 5-95% interval, 20-124), and no difference between men and women (P = 0.54). Serum YKL-40 increased with age (r = 0.45; P < 0.0001). A normal reference interval for serum YKL-40 adjusted for age and gender was constructed by linear regression with serum YKL-40 as the dependent variable (log transformed) and age and gender as the explanatory variables. The upper limit was defined as the 95th percentile for given age and gender. The intersubject coefficient of variation adjusted for age was 45%.

Figure 2A illustrates the individual diurnal variation in serum YKL-40 at 7 time points during 24 h. The mean serum YKL-40 increased 23% from 10 a.m. to 10 p.m. (P = 0.01), however nonsignificant when corrected for multiple testing. No other significant differences were observed. No changes in serum YKL-40 were found after 25 min of bicycling (P > 0.08; linear model).

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

A. Individual diurnal variation in serum concentrations of YKL-40 in 16 healthy subjects. B. Individual variation in serum YKL-40 levels of 38 healthy subjects over a period of 3 wk. C. The median serum YKL-40 level for 23 individuals over 3 wk, available in each of 4 rounds (each bar is the median of one round for each subject). D. Individual serum YKL-40 levels of 30 healthy women sampled over 4 wk and repeated 3 y later for 21 of the women.

Figure 2B shows the individual weekly changes in serum YKL-40 at 6 time points during a 3-week period (at 8 a.m. on days 1, 2, 8, 15, and 22). The median day-to-day coefficient of variation of serum YKL-40 for each subject was 16%. On day 8, samples were collected at 8 a.m. and 2 p.m., and serum YKL-40 increased slightly (47 versus 52 μg/L; 8% difference; P < 0.0001).

Figure 2C illustrates the individual variation in serum YKL-40 at 5 time points during a 3-week period (at 8 a.m. on days 1, 2, 8, 15, and 22; 1st round) and repeated after 6 months (2nd round), 12 months (3rd round), and 24 months (4th round). The median day-to-day coefficient of variation of serum YKL-40 for each subject was overall 16% (range, 0-92%), and 16% (0-63%; 1st round), 19% (5-92%; 2nd), 15% (0-64%; 3rd), and 21% (0-47%; 4th). No systematic increases or decreases were detected over the 4 rounds (P = 0.09). The estimates of the variance components using a random effects model with serum YKL-40 log transformed results in a within-subject coefficient of variation of 27.3% and a coefficient of variation over 24 months of 8.8%. The within-subject coefficient of variation, including the variation over time and interassay variation, was 30.2% over the 24-month period. The intraclass correlation coefficient over the 24 months was 72.4%. The estimated variation in serum YKL-40 within subjects, including interassay variation results in 95% confidence limits for the difference between two measurements on the same subject if the 2nd YKL-40 measurement is reduced by 52% or is increased by 109%, and differences of this magnitude could be considered as significant and not only a reflection of pre-analytic conditions, methodologic, and normal biological variability.

Figure 2D shows the individual weekly changes in serum YKL-40 at 5 time points during a month and subsequently again after 3 years. The median coefficient of variation in serum YKL-40 was 17% (1st round) and 13% (2nd round). In subjects analyzed in both rounds (n = 21), no changes in serum YKL-40 were observed between the 2 periods (P = 0.37, linear model). The estimates of the variance components using the random effects model with serum YKL-40 log transformed result in a within-subject coefficient of variation of 26.0% and coefficient of variation over 3 years of 7.3%. The within-subject coefficient of variation, including the variation over time and interassay variation, was 28.8%. The between subject variation, including within-subject variation and variation over time, was 54%. The intraclass correlation coefficient over 3 years was 72.2%, suggesting a relatively low within-subject variation compared with between subject variation.

Discussion

The present study shows that serum YKL-40 is stable in healthy subjects for short-term as well as long-term sampling periods of up to 3 years with a within-subject coefficient of variation of ∼30%, including interassay variation. The between subject variation in serum YKL-40 was 45% in the study determining a normal reference interval and is similar to that found in the other studies of healthy subjects in the present study. The intraclass correlations of serum YKL-40 were 72.4% and 72.2% over a period of 2 and 3 years, suggesting a relative low within-subject variation compared with between subject variations. The intraclass correlations found in the present study are similar to those found for other serologic markers; for example, Ockene et al. reported an intraclass correlation of 66% for high sensitive C-reactive protein (22). Nonetheless, regression dilution bias could pose a problem and necessitate correction in clinical studies (23). Small changes were found in serum YKL-40 in healthy subjects between 7 a.m. and 4 p.m., and light exercise had no effect on serum YKL-40.

The normal variation in serum YKL-40 is an important factor to be considered in clinical studies of patients with cancer using serum YKL-40 as a potential prognostic biomarker. A normal reference interval should be determined in each laboratory measuring serum YKL-40, and an elevated serum YKL-40 could be defined as >90th or 95th percentile of serum YKL-40 in healthy age-matched subjects.

The present estimated variation in serum YKL-40 within healthy subjects, including interassay variation, suggests that an increase of >109% or a decrease of >52% in serum YKL-40 could be considered as significant and not only a reflection of pre-analytic conditions, methodologic, and normal biological variability. Some of the elevations in serum YKL-40 reported in cancer patients (1-17, 24-26) are not higher than could be explained by pre-analytic conditions and methodologic and normal biological variability, but in all types of cancer, some patients have much higher levels (Fig. 1). Like other biomarkers used in cancer patients (e.g., serum CEA, PSA, CA-125), a single measurement of serum YKL-40 may not have a prognostic value, but if elevated serum YKL-40 is confirmed by retesting at a later time point, this may have a clinical value. Serum YKL-40 alone cannot be a good biomarker for cancer, and it is very important to account for comorbidity because serum YKL-40 can be elevated in patients with nonmalignant diseases characterized by inflammation and tissue remodeling (18-20).

Serum YKL-40 may be useful for monitoring disease recurrence or progression in cancer patients after treatment (13, 14, 23-25). High serum YKL-40 during follow-up after curative operation for colorectal cancer (23) or stage I to II melanoma (14) were associated with short recurrence–free interval and short survival. During follow-up of patients operated for high-grade gliomas serum YKL-40 was lower in patients with no radiographic evidence of disease compared with patients with signs of disease, and high serum YKL-40 was associated with short survival (13). In patients with metastatic prostate cancer treated with endocrine therapy, an increase in serum YKL-40 during treatment was a predictor of short survival (24). During follow-up of patients with squamous cell carcinoma of the head and neck after radiotherapy, high serum YKL-40 predicted short survival (11). Serum YKL-40 decreased significant in patients with locally advanced breast cancer who responded to neoadjuvant chemotherapy (26). Future clinical cancer studies using serum YKL-40 to monitor disease progression may find the observed changes useful as preliminary “guidelines.”.

Mechanistically, the functions of YKL-40 in cancer diseases are unknown. YKL-40 may play a role in cancer cell proliferation, differentiation, metastasis potential, protects against apoptosis, stimulates angiogenesis, and regulates extracellular tissue remodeling; however, in vivo proofs are needed (1). YKL-40 expression is up-regulated in glioblastoma cells following stress stimuli like serum depletion, hypoxia, ionizing radiation, and chemotherapy (27), and in vascular endothelial growth factor siRNA glioma, YKL-40 was one of the highest up-regulated genes, suggesting a role in regulating response of tumor cells to hypoxia (28). Furthermore, astrocytes transfected with YKL-40 had increased resistance to serum depletion and irradiation, and increased invasion potential (29). YKL-40 is a growth factor for fibroblasts, acts synergistically with insulin-like growth factor-I, is regulated by TNF-α and IL-6, and requires sustained activation of nuclear factor κB. YKL-40 initiates mitogen-activated protein kinase and Phosphoinositide 3-kinase signaling cascades in fibroblasts, leading to the phosphorylation of extracellular signal-regulated kinase–1/2 mitogen-activated protein kinase and protein kinase B (AKT)–mediated signaling cascades associated with mitogenesis (1, 30, 31). YKL-40 also binds collagens; modulates type I collagen fibril formation (32); may have a role in proliferation, activation, and differentiation of fibroblasts or myofibroblasts surrounding cancer cells; and may influence the development of the desmoplastic fibroblast stroma, which is very abundant in several types of cancer. YKL-40 also acts as a chemoattractant for endothelial cells, stimulates their migration, and promotes migration and adhesion of vascular smooth muscle cells, suggesting a role in angiogenesis (33-35).

In conclusion, the present study could not show significant diurnal variation in serum YKL-40 nor an effect of physical exercise. A relatively low within-subject variation compared with between subject variation in serum YKL-40 was shown, suggesting that YKL-40 could be a reliable biomarker.

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Acknowledgments

We thank the expert technical assistance of Tonni Løve Hansen and Debbie Nadelmann of Herlev Hospital and Teresa Rozenfeld and Birgitte Christiansen of Hvidovre Hospital, and the YKL-40 ELISA kits provided by Quidel Corporation.

Footnotes

  • ↵7 Personal observation.

  • Grant support: Danish Rheumatism Association, Direktør Jens Aage Sørensen og Hustru Edith Ingeborg Sørensens Mindefond, The Aase and Ejnar Danielsen Fund, The Kornerup Fund, and The Danish Cancer Society.

  • Note: H.J. Nielsen is Danish Cancer Society Professor of Surgical Oncology.

  • Quidel had no role in (a) the design of the study, (b) the data collection, analysis, and interpretation, and (c) the preparation of the manuscript, and had no rights to approve, delay, or disapprove of publication of the work.

    • Accepted July 3, 2008.
    • Received November 4, 2007.
    • Revision received June 5, 2008.

References

  1. ↵
    Johansen JS, Jensen BV, Roslind A, Nielsen D, Price PA. Serum YKL-40, a new prognostic biomarker in cancer patients? Cancer Epidemiol Biomarkers Prev 2006;15:194–202.
    OpenUrlAbstract/FREE Full Text
  2. ↵
    Jensen BV, Johansen JS, Price PA. High levels of serum HER-2/neu and YKL-40 independently reflect aggressiveness of metastatic breast cancer. Clin Cancer Res 2003;9:501–12.
    OpenUrl
  3. ↵
    Cintin C, Johansen JS, Christensen IJ, Price PA, Sørensen S, Nielsen HJ. Serum YKL-40 and colorectal cancer. Br J Cancer 1999;79:1494–9.
    OpenUrlCrossRefPubMed
  4. ↵
    Høgdall EVS, Johansen JS, Kjaer SK, et al. High plasma YKL-40 level in patients with ovarian cancer stage III is related to shorter survival. Oncol Rep 2003;10:1535–8.
    OpenUrlPubMed
  5. ↵
    Dupont J, Tanwar MK, Thaler HT, et al. Early detection and prognosis of ovarian cancer using serum YKL-40. J Clin Oncol 2004;22:3330–9.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    Johansen JS, Drivsholm L, Price PA, Christensen IJ. High serum YKL-40 level in patients with small cell lung cancer is related to early death. Lung Cancer 2004;46:333–40.
    OpenUrlCrossRefPubMed
  7. ↵
    Brasso K, Christensen IJ, Johansen JS, et al. Prognostic value of PINP, bone alkaline phosphatase, CTX-I and YKL-40 in patients with metastatic prostate carcinoma. Prostate 2006;66:503–13.
    OpenUrlCrossRefPubMed
  8. ↵
    Geertsen PF, Johansen JS, von der Maase H, Jensen BV, Price PA. High pretreatment serum level of YKL-40 is related to short survival in patients with advanced renal cell carcinoma treated with high-dose continuous intravenous infusion of interleukin-2. ASCO Ann Meet Proc 2003;22:399 (Abstract 1603).
    OpenUrl
  9. ↵
    Diefenbach CS, Shah Z, Iasonos A, et al. Preoperative serum YKL-40 is a marker for detection and prognosis of endometrial cancer. Gynecol Oncol 2007;104:435–42.
    OpenUrlCrossRefPubMed
  10. ↵
    Johansen JS, Roslind A, Palle C, et al. Serum YKL-40 levels in patients with cervical cancer are elevated compared to patients with cervical intraepithelial neoplasia and healthy controls. ASCO Ann Meet Proc 2006;24:267 (Abstract 5047).
    OpenUrl
  11. ↵
    Roslind A, Johansen JS, Christensen IJ, et al. High serum levels of YKL-40 in patients with squamous cell carcinoma of the head and neck are associated with short survival. Int J Cancer. In press 2008;22:857–63.
  12. ↵
    Tanwar MK, Gilbert MR, Holland EC. Gene expression microarray analysis reveals YKL-40 to be a potential serum marker for malignant character in human glioma. Cancer Res 2002;62:4364–8.
    OpenUrlAbstract/FREE Full Text
  13. ↵
    Hormigo A, Gu B, Karimi S, et al. YKL-40 and matrix metalloproteinase-9 as potential serum biomarkers for patients with high-grade gliomas. Clin Cancer Res 2006;12:5698–704.
    OpenUrlAbstract/FREE Full Text
  14. ↵
    Schmidt H, Johansen JS, Sjoegren P, et al. Serum YKL-40 predicts relapse-free and overall survival in patients with American Joint Committee on Cancer stage I and II melanoma. J Clin Oncol 2006;24:798–804.
    OpenUrlAbstract/FREE Full Text
  15. ↵
    Schmidt H, Johansen JS, Gehl J, Geertsen PF, Fode K, von der Maase H. Elevated serum level of YKL-40 is an independent prognostic factor for poor survival in patients with metastatic melanoma. Cancer 2006;106:1130–9.
    OpenUrlCrossRefPubMed
  16. ↵
    Bergmann OJ, Johansen JS, Klausen TW, et al. High serum concentration of YKL-40 is associated with a short survival in patients with acute myeloid leukemia. Clin Cancer Res 2005;11:8644–52.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    Mylin AK, Rasmussen T, Johansen JS, et al. Serum YKL-40 concentrations in newly diagnosed multiple myeloma patients and YKL-40 expression in malignant plasma cells. Eur J Haematol 2006;77:416–24.
    OpenUrlPubMed
  18. ↵
    Johansen JS. Studies on serum YKL-40 as a biomarker in diseases with inflammation, tissue remodelling, fibrosis and cancer. Dan Med Bull 2006;53:172–209.
    OpenUrlPubMed
  19. ↵
    Chupp GL, Lee CG, Jarjour N, et al. A chitinase-like protein in the lung and circulation of patients with severe asthma. N Engl J Med 2007;357:2016–27.
    OpenUrlCrossRefPubMed
  20. ↵
    Harvey S, Weisman M, O'Dell J, et al. Chondrex: new marker of joint disease. Clin Chem 1998;44:509–16.
    OpenUrlAbstract/FREE Full Text
  21. ↵
    Kirkwood TBL. Geometric means and measures of dispersion. Biometrics 1979;35:908–9.
    OpenUrl
  22. ↵
    Ockene IS, Matthews CE, Rifai N, Ridker PM, Reed G, Stanek E. Variability and classification accuracy of serial high-sensitivity C-reactive protein measurements in healthy adults. Clin Chem 2001;47:444–50.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    Clarke R, Shipley M, Lewington S, et al. Underestimation of risk associations due to regression dilution in long-term follow-up of prospective studies. Am J Epidemiol 1999;150:341–53.
    OpenUrlAbstract/FREE Full Text
  24. ↵
    Cintin C, Johansen JS, Christensen IJ, Price PA, Sørensen S, Nielsen HJ. High serum YKL-40 level after surgery for colorectal carcinoma is related to short survival. Cancer 2002;95:267–74.
    OpenUrlCrossRefPubMed
  25. ↵
    Johansen JS, Brasso K, Iversen P, et al. Changes of biochemical markers of bone turnover and YKL-40 following hormonal treatment for metastatic prostate cancer are related to survival. Clin Cancer Res 2007;13:3244–9.
    OpenUrlAbstract/FREE Full Text
  26. ↵
    Coskun U, Yamac D, Gulbahar O, Sancak B, Karaman N, Ozkan S. Locally advanced breast carcinoma treated with neoadjuvant chemotherapy: are the changes in serum levels of YKL-40, MMP-2 and MMp-3 correlated with tumor response? Neoplasma 2007;54:348–31.
    OpenUrlPubMed
  27. ↵
    Junker N, Johansen JS, Hansen LT, Lund EL, Kristjansen PEG. Regulation of YKL-40 expression during genotoxic or microenvironmental stress in human glioblastoma cells. Cancer Sci 2005;96:183–90. (IF 3.829).
    OpenUrlCrossRefPubMed
  28. ↵
    Saidi A, Javerzat S, Bellahcene A, et al. Experimental anti-angiogenesis causes upregulation of genes associated with poor survival in glioblastoma. Int J Cancer 2008;122:2187–98.
    OpenUrlCrossRefPubMed
  29. ↵
    Nigro JM, Misra A, Zhang L, et al. Integrated array-comparative genomic hybridization and expression array profiles identify clinically relevant molecular subtypes of glioblastoma. Cancer Res 2005;65:1678–86.
    OpenUrlAbstract/FREE Full Text
  30. ↵
    Recklies AD, White C, Ling H. The chitinase 3-like protein human cartilage 39 (HC-gp39) stimulates proliferation of human connective-tissue cells and activates both extracellular signal-regulated kinase-and protein kinase B-mediated signalling pathways. Biochem J 2002;365:119–26.
    OpenUrlCrossRefPubMed
  31. ↵
    Recklies AD, Ling H, White C, Bernier SM. Inflammatory cytokines induce production of CHI3L1 by articular chondrocytes. J Biol Chem 2005;280:41213–21.
    OpenUrlAbstract/FREE Full Text
  32. ↵
    Bigg HF, Wait R, Rowan AD, Cawston TE. The mammalian chitinase-like lectin, YKL-40, binds specifically to type I collagen fibril formation. J Biol Chem 2006;281:21082–95.
    OpenUrlAbstract/FREE Full Text
  33. ↵
    Shackelton LM, Mann DM, Millis AJT. Identification of a 38-kDa heparin-binding glycoprotein (gp38k) in differentiating vascular smooth muscle cells as a member of a group of proteins associated with tissue remodeling. J Biol Chem 1995;270:13076–83.
    OpenUrlAbstract/FREE Full Text
  34. Malinda KM, Ponce L, Kleinman HK, Shackelton LM, Millis AJT. Gp38k, a protein synthesized by vascular smooth muscle cells, stimulates directional migration of human umbilical vein endothelial cells. Exp Cell Res 1999;250:168–73.
    OpenUrlCrossRefPubMed
  35. ↵
    Nishikawa KC, Millis AJT. Gp38k (CHI3L1) is a novel adhesion and migration factor for vascular cells. Exp Cell Res 2003;287:79–87.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top
Cancer Epidemiology Biomarkers & Prevention: 17 (10)
October 2008
Volume 17, Issue 10
  • Table of Contents
  • Table of Contents (PDF)

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Epidemiology, Biomarkers & Prevention article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Diurnal, Weekly, and Long-Time Variation in Serum Concentrations of YKL-40 in Healthy Subjects
(Your Name) has forwarded a page to you from Cancer Epidemiology, Biomarkers & Prevention
(Your Name) thought you would be interested in this article in Cancer Epidemiology, Biomarkers & Prevention.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Diurnal, Weekly, and Long-Time Variation in Serum Concentrations of YKL-40 in Healthy Subjects
Julia S. Johansen, Tine Lottenburger, Hans Jørgen Nielsen, Jens Erik B. Jensen, Mads N. Svendsen, Gine Kollerup and Ib J. Christensen
Cancer Epidemiol Biomarkers Prev October 1 2008 (17) (10) 2603-2608; DOI: 10.1158/1055-9965.EPI-07-2766

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Diurnal, Weekly, and Long-Time Variation in Serum Concentrations of YKL-40 in Healthy Subjects
Julia S. Johansen, Tine Lottenburger, Hans Jørgen Nielsen, Jens Erik B. Jensen, Mads N. Svendsen, Gine Kollerup and Ib J. Christensen
Cancer Epidemiol Biomarkers Prev October 1 2008 (17) (10) 2603-2608; DOI: 10.1158/1055-9965.EPI-07-2766
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Disclosure of Potential Conflicts of Interest
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Early-Life Risk Factors for Breast Cancer
  • Sugary Drink Consumption and Colorectal Cancer Risk
  • HPV Testing in Self-samples and Urine
Show more Research Articles
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • Online First
  • Current Issue
  • Past Issues

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Epidemiology, Biomarkers & Prevention

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

Advertisement