Clinical Cancer Research Joint Metastasis Research Society-AACR Conference on Metastasis Translational Cancer Medicine 2008: Cancer Clinical Trials and Personalized Medicine
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Cell Growth & Differentiation

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Pelloski, C. E.
Right arrow Articles by Aldape, K. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Pelloski, C. E.
Right arrow Articles by Aldape, K. D.
Clinical Cancer Research Vol. 11, 3326-3334, May 1, 2005
© 2005 American Association for Cancer Research


Imaging, Diagnosis, Prognosis

YKL-40 Expression is Associated with Poorer Response to Radiation and Shorter Overall Survival in Glioblastoma

Christopher E. Pelloski1, Anita Mahajan1, Moshe Maor1, Eric L. Chang1, Shiao Woo1, Mark Gilbert2, Howard Colman2, Helen Yang3, Alicia Ledoux3, Hilary Blair4, Sandra Passe4, Robert B. Jenkins4 and Kenneth D. Aldape3

Authors' Affiliations: Departments of 1 Radiation Oncology, 2 Neuro-Oncology, and 3 Pathology, University of Texas M.D. Anderson Cancer Center, Houston, Texas, and 4 Department of Pathology and Laboratory Medicine, Mayo Clinic and Foundation, Rochester, Minnesota

Requests for reprints: Kenneth D. Aldape, Department of Pathology, Box 85, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030. Phone: 713-792-7935; Fax: 713-745-1105; E-mail: kaldape{at}mdanderson.org.


    Abstract
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 
Purpose: YKL-40 is a secreted protein that has been reported to be overexpressed in epithelial cancers and gliomas, although its function is unknown. Previous data in a smaller sample set suggested that YKL-40 was a marker associated with a poorer clinical outcome and a genetically defined subgroup of glioblastoma. Here we test these findings in a larger series of patients with glioblastoma, and in particular, determine if tumor YKL-40 expression is associated with radiation response.

Experimental Design: Patients (n = 147) with subtotal resections were studied for imaging-assessed changes in tumor size in serial studies following radiation therapy. An additional set (n = 140) of glioblastoma patients who underwent a gross-total resection was tested to validate the survival association and extend them to patients with minimal residual disease.

Results: In the subtotal resection group, higher YKL-40 expression was significantly associated with poorer radiation response, shorter time to progression and shorter overall survival. The association of higher YKL-40 expression with poorer survival was validated in the gross-total resection group. In multivariate analysis with both groups combined (n = 287), YKL-40 was an independent predictor of survival after adjusting for patient age, performance status, and extent of resection. YKL-40 expression was also compared with genetically defined subsets of glioblastoma by assessing epidermal growth factor receptor amplification and loss at chromosome 10q, two of the common recurring aberrations in these tumors, using fluorescent in situ hybridization. YKL-40 was significantly associated with 10q loss.

Conclusions: The findings implicate YKL-40 as an important marker of therapeutic response and genetic subtype in glioblastomas and suggest that it may play an oncogenic role in these tumors.

Key Words: Glioma • immunohistochemistry • prognostic marker


Glioblastoma is an aggressive disease with median overall survival of 10 to 12 months after diagnosis. Despite advances in surgical techniques, postoperative supportive care, radiation delivery, and adjuvant systemic therapy, the life expectancy of patients with glioblastoma has remained essentially unchanged over the last several decades. Radiation therapy, given after primary surgical resection, is the standard adjuvant treatment with proven efficacy for glioblastoma (13). However, this tumor is regarded as clinically radioresistant, as a relatively large proportion of patients experience tumor progression during radiotherapy (4, 5). Most lesions recur/progress within 1 to 2 cm from the primary surgical margin, well within radiotherapy fields (68). Although factors that underlie radiation resistance/sensitivity in glioblastoma are not well-understood, older patients have been reported to exhibit a poorer response to radiation (9). With respect to molecular correlates of radiation response, gain in chromosome 7 and losses in chromosomes 9p and 13q copy number have been reported to be associated with a poorer response (10). We have previously found that overexpression of epidermal growth factor receptor (EGFR) correlates with a less favorable response (11). A better understanding of the molecular factors that confer radioresistance in glioblastoma may lead to new approaches to improve the radiation sensitivity of these tumors.

YKL-40 (also known as CHI3L1 or human cartilage glycoprotein-39) is located on chromosome 1q32.1 and is a secreted protein whose function is poorly understood and has homology with glycosyl hydrolases. YKL-40 may have a role in cell migration (12) and connective tissue modeling (1315) and is involved in the inflammatory response (16, 17). Increased YKL-40 levels have been associated with disease activity in rheumatoid arthritis and other autoimmune disorders (1824). Additionally, it has been implicated as a serum marker for aggressive disease in colon (25), ovarian (26, 27), and breast carcinoma (28, 29). Elevated YKL-40 levels were identified in a gene expression profiling study of glioblastoma, as was the presence of YKL-40 in the serum of glioblastoma patients (30). Preliminary data from our laboratory showed the existence of an association between higher YKL-40 expression levels and worse overall survival in glioblastoma. Because radiotherapy is a major treatment modality for glioblastoma following surgery, we hypothesized that YKL-40 might be associated with response to radiation. To test this hypothesis, we identified a group of glioblastoma patients who had undergone subtotal resections, selected in order that measurable residual disease could be followed on serial imaging studies. We examined the relationship between YKL-40 expression, radiation response, and survival in this set. In addition, we tested the prognostic association between YKL-40 expression and glioblastoma in an independent sample of gross totally resected patients with glioblastoma. Finally, we examine relationships of YKL-40 expression with EGFR amplification and chromosome 10 status to test whether YKL-40 is associated with this genetic subset.


    Materials and Methods
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 
Patient characteristics. One hundred and forty-seven cases of subtotally resected glioblastoma were identified at the University of Texas M.D. Anderson Cancer Center from January 1993 until June 2003. Inclusion criteria required that the patient (a) had not received any prior therapy for the tumor, (b) underwent a preoperative and immediate postoperative (within 48 hours) magnetic resonance imaging (MRI) of the brain to assess the extent of resection, (c) received radiation therapy, (d) underwent at least one post-radiotherapy MRI (within 10 weeks of completion), and (e) had archival paraffin-embedded tissue available for immunohistochemical staining. Cases were re-reviewed by a neuropathologist (K.D. Aldape) to ensure that they fulfilled histologic criteria for glioblastoma using current WHO guidelines, which include a high-grade astrocytic tumor with microvascular proliferation and/or necrosis. One hundred and thirteen of the 135 patients with reported radiation therapy doses (84%) received a radiation tumor dose of ≥5,400 cGy. Most of the patients who received lower doses either underwent hypofractionated regimens, or deteriorated during their treatment course and could not complete radiation therapy. One hundred and nine (78%) received systemic chemotherapy. At least one cycle of 39 unique treatment regimens (single agent or in combination), composed of 28 different agents were used. Of these varied chemotherapeutic regimens, most (98 of 109) were either procarbazine-, lomustine-, and vincristine-based (n = 20) or temozolamide-based (n = 68). Institutional Review Board approval was obtained for these studies.

The radiation therapy response was determined by comparing the change in enhancing tumor size between the post-surgical assessment and first post-radiation therapy MRI in a manner previously defined by Barker and colleagues (31). The magnitude of radiation therapy response was assessed using a five-tiered scoring system, which ranged from +2 (≥50% size reduction; Fig. 1A and B) to –2 (≥50% tumor growth; Fig. 1C and D). The +1/–1 scores represented a change (reduction and increase, respectively) of <50% magnitude in size in the enhancing cross-sectional area. Post-radiation therapy MRI films were unavailable for seven patients and although these seven patients were not included in the response analyses, they were included in overall survival analyses.



View larger version (130K):
[in this window]
[in a new window]
 
Fig. 1. Imaging-assessed radiation response examples. A and B, examples of a complete response. A, postoperative/pre-radiation therapy MRI scan of a patient with residual enhancing disease (arrow). B, 3 weeks post-radiotherapy with a >90% reduction in size of enhancing disease. (arrow). Scored a +2. C and D, tumor progression following radiation. C, postoperative/pre-radiation scan with residual enhancing disease. D, 4 weeks post-radiotherapy MRI scan showing radiographic tumor progression. Scored a –2.

 
A second cohort of 140 patients with gross total resections during the same time interval represented a group for whom associations between YKL-40 and overall survival could be tested and used to validate the findings in the first group. Inclusion was based on criteria a and b above, with a verified gross total (>95%) resection, along with archival paraffin tissue available for YKL-40 staining. This patient group had characteristics similar to that of the subtotal resection group (Table 1). Sixty out of 78 patients with reported doses (77%) received a radiation tumor dose of ≥5,400 cGy. In the patients with unreported doses (received radiation therapy at outside facilities), the radiation therapy was described as "conventional" in most cases. Six patients did not receive adjuvant radiation therapy.


View this table:
[in this window]
[in a new window]
 
Table 1. Patient characteristics

 
Overall survival was determined from the date of diagnosis to the date of death or last follow-up. Time to progression was determined from the date of the initial therapeutic surgery to the date of radiographically detected (MRI) enhancing tumor progression in subtotal resection patients or the date of last radiographic follow-up. The Radiation Therapy Oncology Group (RTOG) recursive partitioning analysis (RPA) classification system for malignant glioma (33, 34), recently modified by Shaw and colleagues (32), was used. The modified RTOG RPA classification for glioblastoma takes into account age, Karnofsky performance status (KPS), extent of resection, and the ability of patients to perform activities of daily living (described as working [W+/–]).

Immunohistochemistry and tissue array construction. Paraffin blocks were obtained from the Department of Pathology archives at University of Texas M.D. Anderson Cancer Center. Each case was reviewed by a neuropathologist (K.D. Aldape) to identify blocks with sufficient tumor available for analysis. A polyclonal antibody to YKL-40 was obtained from Quidel Corporation (San Diego, CA). Immunohistochemistry was done as previously described (33) and slides were incubated in primary antibody overnight at 4°C at an antibody dilution of 1:1,500. Staining was scored using a three-tiered system: 2+, strongly positive staining in the majority of tumor cells at least 1 medium power (100x) microscopic field (2+); 1+, weak/patchy staining in tumor cells; and 0, no staining (Fig. 2A-E). Staining was scored while blinded to clinical data. Cases known to be positive and negative were used as controls for each batch of tumor samples.



View larger version (141K):
[in this window]
[in a new window]
 
Fig. 2. Expression of YKL-40 in glioblastoma tumor samples and normal brain. A and B, examples of positively staining tumor cells. C, accentuated staining around an area of microvascular proliferation. D, tumor sample without positive YKL-40 staining. E, section of normal brain showing undetectable YKL-40.

 
Cases (n = 140) were randomly selected from the subtotal resection group (n = 94) and gross-total resection group (n = 52) from which tissue arrays were constructed. A Beecher (Sun Prairie, WI) manual tissue arrayer was used to generate tissue arrays. A minimum of two cores were used for each case, and most had three cores or greater.

Fluorescence in situ hybridization. EGFR amplification and chromosome 10 loss were assessed using fluorescence in situ hybridization analysis of glioma specimens distributed on tissue microarrays. A dual-probe dual-color probe set for EGFR (red fluorophore) and the centromere of chromosome 7 (green fluorophore) was used to assess EGFR amplification. A dual-color probe set for PTEN (red) and the centromere of chromosome 10 (green) was used to assess chromosome 10 loss. Both probe sets were obtained from Vysis, Inc. (Downer's Grove, IL). Hybridization methods and criteria for EGFR amplification and chromosome 10 loss have been previously reported (34).

Statistical analysis. Spearman's Rho correlation was used to determine associations between clinicopathologic variables. Kaplan-Meier (35) survival analysis was used to compare overall survival and time to progression between subgroups. Patients who were alive at last follow-up (for overall survival) or who had no documented time to progression at last follow-up were considered to be censored. Cox-regression multivariate analysis was used for determining independent prognostic factors.


    Results
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 
Subtotal resection cases (n = 147) were accrued to evaluate the effect of radiotherapy by observing changes in residual tumor size in serial imaging studies. With respect to therapeutic regimen, 113 of the 135 patients with reported radiation therapy doses (84%) received a radiation tumor dose of ≥5,400 cGy. One hundred and nine (78%) received systemic chemotherapy at some time during the disease course. Radiation response, time to progression, and overall survival were evaluable end points in this cohort. Seven patients did not have available MRI or adjuvant treatment data, but are included in the overall survival analysis. Gross total resection glioblastoma cases (gross-total resection group) were used in a validation study with overall survival as the only clinical end point. The clinical characteristics of both subtotal resection and gross-total resection groups are summarized in Table 1.

Radiation response and survival in the subtotal resection group. Table 1 (left), shows patient characteristics of the subtotal resection group. Approximately half (52%) of the patients progressed after radiation (scores of –1 or –2), whereas the remainder had either no change or a positive response. There was no significant difference in the interval of the time of radiation therapy completion to the time of MRI used for response scoring between the patients who responded versus patients who progressed. Specifically, the median time to MRI after completion of radiation therapy was 18 days for responders and 21 days for those who progressed (P = 0.7). Clinical factors associated with poorer response to radiation included older age (P = 0.04) and worse RPA classification (P = 0.02, Spearman's rank correlation).

To evaluate the relationship between imaging-assessed changes in size of enhancing tumor and overall survival, response scores were compared with survival in the subtotal resection group. Response to radiation therapy was a strong predictor of overall survival in univariate analysis (Fig. 3A). The median overall survival of patients with radiation therapy response scores of +1 or +2 was 90 weeks versus 42 weeks for those with progression (scores of –1 or –2). Patients with stable disease (score 0) had an intermediate median overall survival at 55 weeks (P < 0.0001). When stratified by modified RTOG RPA class, a positive radiation therapy response continued to show a favorable impact on overall survival across all RPA classes (P < 0.0001; Fig. 3B). Poorer radiation response was associated with older age (<50 versus ≥50; P = 0.04, Spearman's rank correlation). In Cox multivariate analysis, older age group (HR, 2.0), lower radiation response score (HR, 3.3) and lower KPS (HR, 3.3) were independent adverse predictors of survival (all P < 0.01).



View larger version (16K):
[in this window]
[in a new window]
 
Fig. 3. Imaging-assessed radiation response and survival in 140 patients with subtotally resected glioblastoma. As described in Materials and Methods, post-radiation scans were compared with pre-radiation scans and scored as a positive response (+1, +2), no change (0), or tumor progression (–1, –2). A, Kaplan-Meier curves comparing radiation response scores with survival. The five-point response scoring was condensed to three levels, as indicated (P < 0.0001). B, response and survival following stratification by modified RTOG RPA class. Median survival times are shown stratified by both based radiation response score and survival in each class (P < 0.001).

 
A meaningful survival analysis regarding the use of chemotherapeutic agents in the subtotal resection group could not be done. The 31 patients who did not receive chemotherapy typically had a rapid clinical deterioration and received only supportive care after radiation therapy; subjecting any comparison to a profound selection bias. Of the 98 patients who received either temozolamide or procarbazine-, lomustine-, and vincristine-based chemotherapy, there was no survival difference between these two groups (P = 0.9).

YKL-40 expression and outcome in the subtotal resection group. Positive staining for YKL-40 was found in the cytoplasm of glioblastoma tumor cells (Fig. 2), a finding in contrast to a previous report suggesting that it is expressed in tumor-associated macrophages (36). YKL-40 staining was scored as strongly positive (2+) in 85 of 147 cases (58%), weakly positive (1+) in 28 cases (19%), and negative in 34 cases (23%). Increased YKL-40 expression was significantly associated with resistance to radiation therapy. As shown in Fig. 4, YKL-40-negative cases exhibited an average positive radiation score, whereas YKL-40-positive tumors had average negative response scores (P < 0.001). Of the 37 patients who had a positive radiation therapy response, 15 (41%) were YKL-40-negative. In comparison, 7 of 26 (27%) of those with stable disease and 11 of 77 (14%) of those who progressed following radiation had YKL-40-negative tumors. Although YKL-40 did not perfectly distinguish the tumors which responded from those which progressed, tumors which did show a positive response to radiation were nearly three times (41% versus 14%) more likely to be YKL-40-negative compared with those which progressed following radiation. In univariate analyses, elevated YKL-40 expression, RPA classification, age ≥50 years, lower KPS and extent of resection (biopsy versus subtotal resection) were associated with worse time to progression and overall survival (Table 2). Kaplan-Meier survival curves indicating the relationship between the expression of YKL-40 and overall survival are shown in Fig. 5A.



View larger version (8K):
[in this window]
[in a new window]
 
Fig. 4. Average radiation response score following stratification by YKL-40 expression. YKL-40 expression score was used to calculate the average radiation response score for the subtotally resected glioblastoma cases (as described in Materials and Methods). Results are plotted along with SE. Two-sided t test (P < 0.001).

 

View this table:
[in this window]
[in a new window]
 
Table 2. Univariate time to progression and overall survival analysis of the subtotally resected group

 


View larger version (25K):
[in this window]
[in a new window]
 
Fig. 5. YKL-40 and survival. A and B, Kaplan-Meier survival curves comparing YKL-40 expression with overall survival in newly diagnosed glioblastoma. A, subtotal resection group (n = 147, P = 0.02). B, gross total resection group (n = 140, P = 0.0008). C, YKL-40 expression score and median survival for all patients (subtotal resection and gross-total resection groups, n = 287) stratified by the RTOG RPA classification (P = 0.009).

 
YKL-40 and outcome in the gross-total resection group. To validate an association between YKL-40 and overall survival, we studied an independent sample of 140 glioblastoma patients who underwent gross-total resection for newly diagnosed glioblastoma. The characteristics of these patients are described in Table 1 (right). With respect to therapy, the reported doses of radiation were available for 78 patients. Sixty of the 78 patients with reported doses (77%) received a radiation tumor dose of ≥5,400 cGy. In the patients with unreported doses (received radiation therapy at outside facilities), the radiation therapy was described as "conventional" in most cases. Six patients did not receive adjuvant radiation therapy. The distribution of YKL-40 expression in this group was similar to the subtotal resection group. Of the eighty (57%) cases that were strongly stained for YKL-40, 37 (26%) had an intermediate level of staining, and 23 (16%) were negative. In this group, YKL-40 was also significantly associated with overall survival. Patients with YKL-40 scores of 0 in this group had a median overall survival of 116 weeks, compared to a median survival of 53 weeks for cases with 1+ staining, and 41 weeks in patients with scores of 2+ (P = 0.0008; Fig. 5B; Table 3). As in the subtotal resection group, univariate analysis revealed a higher expression of YKL-40, older age and lower KPS to have a significant association with a decreased overall survival (Table 3).


View this table:
[in this window]
[in a new window]
 
Table 3. Univariate overall survival analysis of the gross totally resected group

 
Association between YKL-40 and established genetic markers in glioblastoma. Previous studies of glioblastoma have indicated that discrete molecular genetic subtypes exist on the basis of the presence or absence of signature aberrations, including amplification of the EGFR gene and loss of chromosome 10 (37, 38). To determine if YKL-40 expression was associated with either of these two genetic lesions, a subset of the glioblastoma cases from each group were subjected to fluorescence in situ hybridization for EGFR and chromosome 10 using tissue arrays constructed from a subset of the patients from the subtotal resection and gross-total resection groups. One hundred and thirty-four cases were evaluable for EGFR status and amplification was found in 59 of them (44%). One hundred and nineteen cases were evaluable for chromosome 10 status and loss was identified in 52 cases (44%). There was no association between the expression of YKL-40 expression and EGFR amplification (P = 0.78). However, a higher YKL-40 staining score was significantly associated with loss of chromosome 10 (Spearman's rank correlation 0.26, P = 0.004), consistent with a concurrent study from our laboratory. That study suggests that loss of chromosome 10 defines subsets of glioblastoma with differential expression patterns across the genome, including differences in the expression of YKL-40 (elevated average YKL-40 mRNA levels in cases with chromosome 10 loss; ref. 39).

Multivariate and subset analysis in the combined groups. The two patient groups (subtotal resection and gross-total resection) were combined (n = 287) to identify associations between the expression of YKL-40 and clinical factors to identify independent prognostic factors. A higher level of YKL-40 expression was positively associated with older age group and lower KPS (both P < 0.01, Spearman's rank correlation). Cox survival analysis, including variables that were significant in univariate analyses (YKL-40, KPS, age, and extent of resection), revealed that YKL-40 positivity (HR, 1.4; P = 0.04), lower KPS score (HR, 1.4; P = 0.016), and age ≥50 years (HR, 1.7; P = 0.002) were independent adverse prognostic factors. Extent of resection in this multivariate model (biopsy versus subtotal resection versus gross-total resection) was not statistically significant (P = 0.8). When the patients were stratified by the modified RTOG RPA classification, a higher expression of YKL-40 was associated with poorer overall survival across all groups (P = 0.009; Fig. 5C).


    Discussion
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 
In this study, YKL-40 expression was a strong predictor of aggressive clinical behavior in glioblastoma. Increased YKL-40 expression was associated with increased resistance to radiotherapy, shorter time to progression, and worse overall survival. To evaluate radiation response, we initially focused on subtotal resection cases, in which imaging-identified residual disease could be evaluated for response after radiation therapy. Radiation response, time to progression, and overall survival were measurable end points in this group. Although response to radiation was not quantifiable in the second cohort of gross-total resection glioblastoma cases, the observation of an association between YKL-40 expression and poor survival in this cohort serves both as an independent confirmation of our observations in the subtotal resection group, and suggests that the relationship between YKL-40 expression and poor outcome extends to patients with minimal residual disease.

Although the exact function of YKL-40 is unclear, based on the limited knowledge of this protein, it seems to be a secreted protein, which is involved in extracellular matrix remodeling and cellular mitogenesis. Exposure of chondrocytes to YKL-40, has been reported to result in an increase in proteoglycan synthesis (14). It has been shown to increase the proliferation rates of various cell lines (chondrocytes, squamous, fetal lung fibroblasts, and synovial) via simultaneous stimulation of the mitogen-activated protein kinase and the phosphoinositide 3-kinase activity pathways (40). Through the alteration of the extracellular matrix and its proliferative properties, YKL-40 may facilitate invasion, migration, and/or angiogenesis. YKL-40 overexpression was seen in most glioblastoma tumors when compared with gliomas of lower WHO grades (grades III and II; ref. 30), a molecular finding that may parallel the observation that microvascularization is entirely absent in anaplastic astrocytomas and low-grade glioma (41). A study examining interleukin-1 and tumor necrosis factor-{alpha} stimulation of fibroblasts and chondrocytes in the presence of YKL-40 showed a reduction in p38 mitogen-activated protein kinase and stress-activated protein kinase/Jun NH2-terminal kinase phosphorylation, cytokine-induced secretion of matrix metalloproteinases-1, -3, and -13, as well as secretion of the chemokine interleukin-8 (42). Antiapoptotic events, including nuclear translocation of nuclear factor-{kappa}B and AKT-mediated phosphorylation of apoptosis signal-regulating kinase 1, were also observed.

As YKL-40 has been reported to be present at high levels in the blood of patients with carcinomas of the breast, colon, and ovary, as well as glioblastoma (26, 28, 43, 44), our finding that it is associated with both response and survival provides a potential opportunity to establish a minimally invasive means to obtain prognostic information prior to surgery. In addition, this observation raises the question of whether serum YKL-40 levels can be used as a surrogate marker for disease activity or response to treatment for those patients with YKL-40-overexpressing tumors. In particular, changes in blood YKL-40 levels during therapy might provide an indication as to the effectiveness of therapy. The inability of current imaging modalities to accurately distinguish radiation necrosis from tumor progression is an ever-present conundrum in clinical practice, and the ability to identify a minimally invasive marker would be a significant advance in this area. Archived preoperative blood specimens of patients in this study were not available for analysis. These issues will be investigated in planned clinical trials to test for a relationship of tumor YKL-40 expression with the presence of YKL-40 in the blood. Although YKL-40 is a secreted extracellular matrix protein, we found the staining to be most pronounced in the cytoplasm of glioblastoma tumor cells. This likely reflects a high concentration of the protein in the compartment in which it is synthesized, as has been observed with other extracellular matrix proteins in astrocytic tumors (45). Previous studies employing immunohistochemistry for YKL-40 in other tissues also indicate a predominant cytoplasmic localization (46, 47). Whether YKL-40 has additional functions related to its intracellular localization remains to be elucidated in future studies.

We found that a higher expression of YKL-40 was significantly associated with older age. Despite this association, YKL-40 remained an independent prognostic factor in multivariate analysis after adjustment for age, suggesting that it is not merely a surrogate marker for the tumors of older patients. As its expression seems to be associated with age, as well as being a prognostic marker independent of age, it potentially could add additional information in patient evaluation and could also in part account for the well-known association between older age and a worse prognosis in gliomas (4, 5). It is tempting to speculate that although high YKL-40 levels can be considered a marker of the presence of tumor in an older patient, a YKL-40-overexpressing tumor in a younger patient may be expected to exhibit a more aggressive clinical behavior (including radioresistance), which is typical in older patients. The modified RTOG RPA glioblastoma classification takes into account the KPS, the extent of resection and working status, in addition to age, for risk stratification. Our finding that YKL-40 adds prognostic information in addition to these clinically relevant factors supports the hypothesis that it directly contributes to aggressive behavior in glioblastoma.

A better understanding of the factors that underlie the relative lack of radiosensitivity exhibited by most glioblastoma tumors is needed. It is well established that adjuvant radiation therapy significantly improves overall survival (2, 3, 31, 48, 49). The radiation therapy response data from this study show a clear advantage in overall survival when patients have radiosensitive lesions, as has been reported previously (50). Although only 25% of the patients had a positive response to radiation therapy, and an additional 18% had stable disease in the first post-radiation scan, these patients showed improved survival compared with the 52% of patients with tumor progression. Similar to a previous report (9), tumors from patients in an older age group tended to be more radioresistant than those in the younger patients. This relationship may account, in part, for the known association between older age and poorer survival in gliomas (5). In multivariate analysis, both response and age were independent predictors of survival, suggesting that although radiation response is an important factor, additional as yet uncharacterized age-related factors are also pertinent.

Because this was a retrospective study based on patients who were not treated on uniform protocols, a potential exists for differences in adjuvant treatment to confound the survival data. We believe this is unlikely in our dataset. A detailed review of chemotherapeutic regimens was performed on the subtotal resection group. Whereas the specifics of administration differed, most of the regimens could be classified as either procarbazine-, lomustine-, vincristine-, or temozolamide-based chemotherapy. No difference in survival (P = 0.9) was seen in these two groups, suggesting that the treatment differences did not have a significant impact on the associations of YKL-40 with survival.

Finally, to place YKL-40 expression in the context of previously established recurring genetic lesions, we compared YKL-40 expression with two of the commonly described genetic aberrations in glioblastoma: amplification of EGFR and loss of chromosome 10. Whereas there was no significant association between YKL-40 and EGFR amplification status, we identified a correlation between higher YKL-40 staining and loss of chromosome 10. This finding, in addition to the survival associations, independently confirms the results from a concurrent expression profiling/array comparative genomic hybridization study, which identified YKL-40 as a potential prognostic marker in a set of 34 glioblastomas. The correlation between DNA-based and mRNA-based changes shown in that study indicated that loss of chromosome 10 was associated with altered expression of a subset of genes across the genome. YKL-40 was among the genes most highly linked with chromosome 10 status (39). The larger study in this article supports the hypothesis that chromosome 10 status is a marker for a subset of glioblastomas and has genetic and clinical implications, including YKL-40 overexpression and potentially more aggressive behavior. The YKL-40 gene is located on a region of chromosome 1q that is not known for frequent DNA copy number aberrations in glioblastoma. Our data suggest that its primary mode of up-regulation is at the transcriptional level. The relationships between loss of chromosome 10 and altered expression of YKL-40, and potentially additional important genes in glioblastoma, remains to be determined.


    Acknowledgments
 
We thank Joann Aaron for editorial assistance.


    Footnotes
 
Grant support: Grant P01 CA85799 (to R.B. Jenkins and K.D. Aldape) and an M.D. Anderson Institutional Research Grant to K.D. Aldape.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Received 8/31/04; revised 12/16/04; accepted 1/ 5/05.


    References
 Top
 Abstract
 Materials and Methods
 Results
 Discussion
 References
 

  1. Walker MD, Alexander E Jr, Hunt WE, et al. Evaluation of BCNU and/or radiotherapy in the treatment of anaplastic gliomas. A cooperative clinical trial. J Neurosurg 1978;49:333–43.[Medline]
  2. Walker MD, Green SB, Byar DP, et al. Randomized comparisons of radiotherapy and nitrosoureas for the treatment of malignant glioma after surgery. N Engl J Med 1980;303:1323–9.[Abstract]
  3. Mohan DS, Suh JH, Phan JL, et al. Outcome in elderly patients undergoing definitive surgery and radiation therapy for supratentorial glioblastoma multiforme at a tertiary care institution. Int J Radiat Oncol Biol Phys 1998;42:981–7.[CrossRef][Medline]
  4. Burger PC, Green SB. Patient age, histologic features, and length of survival in patients with glioblastoma multiforme. Cancer 1987;59:1617–25.[CrossRef][Medline]
  5. Scanlon PW, Taylor WF. Radiotherapy of intracranial astrocytomas: analysis of 417 cases treated from 1960 through 1969. Neurosurgery 1979;5:301–8.[Medline]
  6. Wallner KE, Galicich JH, Krol G, Arbit E, Malkin MG. Patterns of failure following treatment for glioblastoma multiforme and anaplastic astrocytoma. Int J Radiat Oncol Biol Phys 1989;16:1405–9.[Medline]
  7. Massey V, Wallner KE. Patterns of second recurrence of malignant astrocytomas. Int J Radiat Oncol Biol Phys 1990;18:395–8.[Medline]
  8. Hochberg FH, Pruitt A. Assumptions in the radiotherapy of glioblastoma. Neurology 1980;30:907–11.[Abstract/Free Full Text]
  9. Barker FG Jr, Chang SM, Larson DA, et al. Age and radiation response in glioblastoma multiforme. Neurosurgery 2001;49:1288–97; discussion 97–8.[CrossRef][Medline]
  10. Huhn SL, Mohapatra G, Bollen A, et al. Chromosomal abnormalities in glioblastoma multiforme by comparative genomic hybridization: correlation with radiation treatment outcome. Clin Cancer Res 1999;5:1435–43.[Abstract/Free Full Text]
  11. Barker FG Jr, Simmons ML, Chang SM, et al. EGFR overexpression and radiation response in glioblastoma multiforme. Int J Radiat Oncol Biol Phys 2001;51:410–8.[Medline]
  12. Boot RG, van Achterberg TA, van Aken BE, et al. Strong induction of members of the chitinase family of proteins in atherosclerosis: chitotriosidase and human cartilage gp-39 expressed in lesion macrophages. Arterioscler Thromb Vasc Biol 1999;19:687–94.[Abstract/Free Full Text]
  13. Clancy R. Nitric oxide alters chondrocyte function by disrupting cytoskeletal signaling complexes. Osteoarthritis Cartilage 1999;7:399–400.[CrossRef][Medline]
  14. De Ceuninck F, Gaufillier S, Bonnaud A, et al. YKL-40 (cartilage gp-39) induces proliferative events in cultured chondrocytes and synoviocytes and increases glycosaminoglycan synthesis in chondrocytes. Biochem Biophys Res Commun 2001;285:926–31.[CrossRef][Medline]
  15. Garnero P, Piperno M, Gineyts E, et al. Cross sectional evaluation of biochemical markers of bone, cartilage, and synovial tissue metabolism in patients with knee osteoarthritis: relations with disease activity and joint damage. Ann Rheum Dis 2001;60:619–26.[Abstract/Free Full Text]
  16. Nordenbaek C, Johansen JS, Junker P, et al. YKL-40, a matrix protein of specific granules in neutrophils, is elevated in serum of patients with community-acquired pneumonia requiring hospitalization. J Infect Dis 1999;180:1722–6.[CrossRef][Medline]
  17. Volck B, Price PA, Johansen JS, et al. YKL-40, a mammalian member of the chitinase family, is a matrix protein of specific granules in human neutrophils. Proc Assoc Am Physicians 1998;110:351–60.[Medline]
  18. Bernardi D, Podswiadek M, Zaninotto M, Punzi L, Plebani M. YKL-40 as a marker of joint involvement in inflammatory bowel disease. Clin Chem 2003;49:1685–8.[Free Full Text]
  19. Johansen JS, Baslund B, Garbarsch C, et al. YKL-40 in giant cells and macrophages from patients with giant cell arteritis. Arthritis Rheum 1999;42:2624–30.[CrossRef][Medline]
  20. Koutroubakis IE, Petinaki E, Dimoulios P, et al. Increased serum levels of YKL-40 in patients with inflammatory bowel disease. Int J Colorectal Dis 2003;18:254–9.[Medline]
  21. La Montagna G, D'Angelo S, Valentini G. Cross-sectional evaluation of YKL-40 serum concentrations in patients with systemic sclerosis. Relationship with clinical and serological aspects of disease. J Rheumatol 2003;30:2147–51.[Medline]
  22. Peltomaa R, Paimela L, Harvey S, Helve T, Leirisalo-Repo M. Increased level of YKL-40 in sera from patients with early rheumatoid arthritis: a new marker for disease activity. Rheumatol Int 2001;20:192–6.[CrossRef][Medline]
  23. Vind I, Johansen JS, Price PA, Munkholm P. Serum YKL-40, a potential new marker of disease activity in patients with inflammatory bowel disease. Scand J Gastroenterol 2003;38:599–605.[CrossRef][Medline]
  24. Volck B, Johansen JS, Stoltenberg M, et al. Studies on YKL-40 in knee joints of patients with rheumatoid arthritis and osteoarthritis. Involvement of YKL-40 in the joint pathology. Osteoarthritis Cartilage 2001;9:203–14.[CrossRef][Medline]
  25. Cintin C, Johansen JS, Christensen IJ, et al. Serum YKL-40 and colorectal cancer. Br J Cancer 1999;79:1494–9.[CrossRef][Medline]
  26. Hogdall EV, 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.[Medline]
  27. Dehn H, Hogdall EV, Johansen JS, et al. Plasma YKL-40, as a prognostic tumor marker in recurrent ovarian cancer. Acta Obstet Gynecol Scand 2003;82:287–93.[CrossRef][Medline]
  28. Johansen JS, Christensen IJ, Riisbro R, et al. High serum YKL-40 levels in patients with primary breast cancer is related to short recurrence free survival. Breast Cancer Res Treat 2003;80:15–21.[CrossRef][Medline]
  29. 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;9:4423–34.[Abstract/Free Full Text]
  30. 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.[Abstract/Free Full Text]
  31. Barker FG Jr, Prados MD, Chang SM, et al. Radiation response and survival time in patients with glioblastoma multiforme. J Neurosurg 1996;84:442–8.[Medline]
  32. Shaw EG, Seiferheld W, Scott C, et al. Reexamining the Radiation Therapy Oncology Group (RTOG) recursive partitioning analysis (RPA) for glioblastoma multiforme (GBM) patients. Int J Radiat Oncol Biol Phys 2003;57:S135–6.
  33. Simmons ML, Lamborn KR, Takahashi M, et al. Analysis of complex relationships between age, p53, epidermal growth factor receptor, and survival in glioblastoma patients. Cancer Res 2001;61:1122–8.[Abstract/Free Full Text]
  34. Smith JS, Tachibana I, Passe SM, et al. PTEN mutation, EGFR amplification, and outcome in patients with anaplastic astrocytoma and glioblastoma multiforme. J Natl Cancer Inst 2001;93:1246–56.[Abstract/Free Full Text]
  35. Hegi ME, Diserens AC, Godard S, et al. Clinical trial substantiates the predictive value of O-6-methylguanine-DNA methyltransferase promoter methylation in glioblastoma patients treated with temozolomide. Clin Cancer Res 2004;10:1871–4.[Abstract/Free Full Text]
  36. Shostak K, Labunskyy V, Dmitrenko V, et al. HC gp-39 gene is upregulated in glioblastomas. Cancer Lett 2003;198:203–10.[CrossRef][Medline]
  37. Mohapatra G, Bollen AW, Kim DH, et al. Genetic analysis of glioblastoma multiforme provides evidence for subgroups within the grade. Genes Chromosomes Cancer 1998;21:195–206.[CrossRef][Medline]
  38. von Deimling A, von Ammon K, Schoenfeld D, et al. Subsets of glioblastoma multiforme defined by molecular genetic analysis. Brain Pathol 1993;3:19–26.[Medline]
  39. Nigro JM, Misra A, Zhang L, et al. Integrated CGH-array and expression array profiles identify clinically relevant molecular subtypes of glioblastoma. Cancer Res 2004; In press.
  40. Recklies AD, White C, Ling H. The chitinase 3-like protein human cartilage glycoprotein 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.[CrossRef][Medline]
  41. Kleihues PBP, Collins VP, Newcomb EW, Ohgaki H, Cavenee WK. Glioblastoma. In: CW Kleihues P, editor. Pathology and genetics of tumours of the nervous system, 1st ed. Vol. 1. Lyon, France: IARC Press; 2000. p. 29–39.
  42. Ling H, Recklies AD. The chitinase 3-like protein human cartilage glycoprotein 39 inhibits cellular responses to the inflammatory cytokines interleukin-1 and tumour necrosis factor-{alpha}. Biochem J 2004;380:651–9.[CrossRef][Medline]
  43. Shapiro WR, Green SB, Burger PC, et al. Randomized trial of three chemotherapy regimens and two radiotherapy regimens and two radiotherapy regimens in postoperative treatment of malignant glioma. Brain Tumor Cooperative Group Trial 8001. J Neurosurg 1989;71:1–9.[Medline]
  44. Johansen JS, Jensen HS, Price PA. A new biochemical marker for joint injury. Analysis of YKL-40 in serum and synovial fluid. Br J Rheumatol 1993;32:949–55.[Abstract/Free Full Text]
  45. Oz B, Karayel FA, Gazio NL, Ozlen F, Balci K. The distribution of extracellular matrix proteins and CD44S expression in human astrocytomas. Pathol Oncol Res 2000;6:118–24.[Medline]
  46. Johansen JS, Olee T, Price PA, et al. Regulation of YKL-40 production by human articular chondrocytes. Arthritis Rheum 2001;44:826–37.[CrossRef][Medline]
  47. Kawasaki M, Hasegawa Y, Kondo S, Iwata H. Concentration and localization of YKL-40 in hip joint diseases. J Rheumatol 2001;28:341–5.[Medline]
  48. Marijnen C, van der Berg S, van Duinen S, Thomeer R, Noordijk E. Radiotherapy is effective in patients with glioblastoma multiforme with a very limited prognosis and in patients above 70 years of age. Int J Radiat Oncol Biol Phys 2003;57:S328.[CrossRef]
  49. Kristiansen K, Hagen S, Kollevold T, et al. Combined modality therapy of operated astrocytomas grade III and IV. Confirmation of the value of postoperative irradiation and lack of potentiation of bleomycin on survival time: a prospective multicenter trial of the Scandinavian Glioblastoma Study Group. Cancer 1981;47:649–52.[CrossRef][Medline]
  50. Wood JR, Green SB, Shapiro WR. The prognostic importance of tumor size in malignant gliomas: a computed tomographic scan study by the Brain Tumor Cooperative Group. J Clin Oncol 1988;6:338–43.[Abstract]



This article has been cited by other articles:


Home page
Clin. Cancer Res.Home page
M. Shirahata, K. Iwao-Koizumi, S. Saito, N. Ueno, M. Oda, N. Hashimoto, J. A. Takahashi, and K. Kato
Gene Expression-Based Molecular Diagnostic System for Malignant Gliomas Is Superior to Histological Diagnosis
Clin. Cancer Res., December 15, 2007; 13(24): 7341 - 7356.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
H. Aoki, T. Yokoyama, K. Fujiwara, A. M. Tari, R. Sawaya, D. Suki, K. R. Hess, K. D. Aldape, S. Kondo, R. Kumar, et al.
Phosphorylated Pak1 Level in the Cytoplasm Correlates with Shorter Survival Time in Patients with Glioblastoma
Clin. Cancer Res., November 15, 2007; 13(22): 6603 - 6609.
[Abstract] [Full Text] [PDF]


Home page
JCOHome page
C. E. Pelloski, K. V. Ballman, A. F. Furth, L. Zhang, E. Lin, E. P. Sulman, K. Bhat, J. M. McDonald, W.K. A. Yung, H. Colman, et al.
Epidermal Growth Factor Receptor Variant III Status Defines Clinically Distinct Subtypes of Glioblastoma
J. Clin. Oncol., June 1, 2007; 25(16): 2288 - 2294.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
A. Hormigo, B. Gu, S. Karimi, E. Riedel, K. S. Panageas, M. A. Edgar, M. K. Tanwar, J. S. Rao, M. Fleisher, L. M. DeAngelis, et al.
YKL-40 and Matrix Metalloproteinase-9 as Potential Serum Biomarkers for Patients with High-Grade Gliomas.
Clin. Cancer Res., October 1, 2006; 12(19): 5698 - 5704.
[Abstract] [Full Text] [PDF]


Home page
Mol Cancer ResHome page
C.-L. Tso, P. Shintaku, J. Chen, Q. Liu, J. Liu, Z. Chen, K. Yoshimoto, P. S. Mischel, T. F. Cloughesy, L. M. Liau, et al.
Primary Glioblastomas Express Mesenchymal Stem-Like Properties
Mol. Cancer Res., September 1, 2006; 4(9): 607 - 619.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
C. E. Pelloski, E Lin, L. Zhang, W.K. A. Yung, H. Colman, J.-L. Liu, S. Y. Woo, A. B. Heimberger, D. Suki, M. Prados, et al.
Prognostic Associations of Activated Mitogen-Activated Protein Kinase and Akt Pathways in Glioblastoma.
Clin. Cancer Res., July 1, 2006; 12(13): 3935 - 3941.
[Abstract] [Full Text] [PDF]


Home page
JCOHome page
H. Schmidt, J. S. Johansen, P. Sjoegren, I. J. Christensen, B. S. Sorensen, K. Fode, J. Larsen, and H. von der Maase
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., February 10, 2006; 24(5): 798 - 804.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
J. S. Johansen, B. V. Jensen, A. Roslind, D. Nielsen, and P. A. Price
Serum YKL-40, A New Prognostic Biomarker in Cancer Patients?
Cancer Epidemiol. Biomarkers Prev., February 1, 2006; 15(2): 194 - 202.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Pelloski, C. E.
Right arrow Articles by Aldape, K. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Pelloski, C. E.
Right arrow Articles by Aldape, K. D.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Cell Growth & Differentiation