Circulating proteins in response to combined-modality therapy in rectal cancer identified by antibody array screening

Erta Kalanxhi, Helga Helseth Hektoen, Sebastian Meltzer, Svein Dueland, Kjersti Flatmark, Anne Hansen Ree, Erta Kalanxhi, Helga Helseth Hektoen, Sebastian Meltzer, Svein Dueland, Kjersti Flatmark, Anne Hansen Ree

Abstract

Background: The increasingly complex programs of contemporary cancer therapy emphasize the need for biological indicators of both therapeutic response and adverse effects. One example is combined-modality treatment aimed at improving long-term outcome in patients with locally advanced rectal cancer, which commonly comes at the price of extended limits of patient tolerance.

Methods: In a prospective study with intensified neoadjuvant treatment of rectal cancer patients, using an antibody array, the profiling of approximately 500 proteins was performed in serial serum samples collected at different stages of the treatment course.

Results: The small number of proteins whose levels significantly changed after induction neoadjuvant chemotherapy (NACT) expanded substantially following the sequential chemoradiotherapy (CRT) and persisted four weeks later at treatment evaluation before pelvic surgery. Serum levels of proteins selected for validation of the experimental design, lipocalin-2 and matrix metalloproteinase-9, declined after NACT and gradually reverted to baseline values during the remaining neoadjuvant course. Of note, the greater the decline in post-NACT and post-CRT matrix metalloproteinase-9 levels, the more favorable progression-free survival. No correlation was found, however, with diarrhea scores, the clinical correlate of adverse therapeutic effects.

Conclusions: Even though the findings were indicative of only tumor and not normal tissue effects, multiplex immunoassay analysis of circulating proteins in patients undergoing combined-modality therapy may in principle dissect the contribution of the individual modalities to overall systemic responses in patient outcome and tolerance.

Trial registration: ClinicalTrials.gov NCT00278694 ; registration date: January 16, 2006, retrospective to enrollment of the first 10 patients of the current report.

Keywords: Chemotherapy; Outcome; Protein array; Radiotherapy; Rectal cancer; Serum proteins.

Figures

Fig. 1
Fig. 1
The timing of blood sampling (red arrows) within the treatment protocol. Black arrows indicate the start of each cycle of induction neoadjuvant chemotherapy (NACT) and of each consecutive week of the sequential chemoradiotherapy (CRT). A study-specific evaluation was undertaken before surgery, which was accomplished when the patient had recovered from the neoadjuvant therapy (commonly 2–4 weeks after evaluation)
Fig. 2
Fig. 2
Functional coupling between proteins that changed in patients’ circulation during neoadjuvant therapy. Proteins are depicted by their gene symbols. Yellow nodes: proteins whose serum levels significantly differed from baseline following induction neoadjuvant chemotherapy (post-NACT) and sequential chemoradiotherapy (post-CRT) and at treatment evaluation. Non-yellow nodes: proteins not present in the query list but predicted as interacting with the significantly altered proteins at the specific sampling point. Encircled nodes: proteins further analyzed
Fig. 3
Fig. 3
Correlations between array fluorescence (FL) intensities and single-parameter immunoassay measurements. Values (transformed to natural logarithms) of lipocalin-2 (LCN2) and matrix metalloproteinase-9 (MMP9) levels in serum samples obtained at baseline, following induction neoadjuvant chemotherapy (post-NACT) and sequential chemoradiotherapy (post-CRT), and at treatment evaluation from 24 randomly chosen patients were compared
Fig. 4
Fig. 4
Serum lipocalin-2 (LCN2) and matrix metalloproteinase-9 (MMP9) levels during neoadjuvant therapy. Array fluorescence intensities relative to the individual patient’s baseline values following induction neoadjuvant chemotherapy (post-NACT; n = 50 for LCN2 and n = 61 for MMP9) and sequential chemoradiotherapy (post-CRT; n = 48 for LCN2 and n = 57 for MMP9) and at treatment evaluation (n =50 for LCN2 and n =54 for MMP9); lines, median group values; *p < 0.01; **p < 0.001; ***p < 0.0001

References

    1. Cancer Genome Atlas Network Comprehensive molecular characterization of human colon and rectal cancer. Nature. 2012;487:330–7. doi: 10.1038/nature11252.
    1. Budinska E, Popovici V, Tejpar S, D'Ario G, Lapique N, Sikora KO, et al. Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer. J Pathol. 2013;231:63–76. doi: 10.1002/path.4212.
    1. Mlecnik B, Bindea G, Angell HK, Sasso MS, Obenauf AC, Fredriksen T, et al. Functional network pipeline reveals genetic determinants associated with in situ lymphocyte proliferation and survival of cancer patients. Sci Transl Med. 2014;6:228ra37.
    1. Galon J, Costes A, Sanchez-Cabo F, Kirilovsky A, Mlecnik B, Lagorce-Pages C, et al. Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science. 2006;313:1960–4. doi: 10.1126/science.1129139.
    1. Ree AH, Meltzer S, Flatmark K, Dueland S, Kalanxhi E. Biomarkers of treatment toxicity in combined-modality cancer therapies with radiation and systemic drugs: study design, multiplex methods, molecular networks. Int J Mol Sci. 2014;15:22835–56. doi: 10.3390/ijms151222835.
    1. Sonntag J, Schluter K, Bernhardt S, Korf U. Subtyping of breast cancer using reverse phase protein arrays. Expert Rev Proteomic. 2014;11:757–70. doi: 10.1586/14789450.2014.971113.
    1. Ree AH, Flatmark K, Saelen MG, Folkvord S, Dueland S, Geisler J, et al. Tumor phosphatidylinositol 3-kinase signaling in therapy resistance and metastatic dissemination of rectal cancer: opportunities for signaling-adapted therapies. Crit Rev Oncol Hematol. 2015;95:114–24. doi: 10.1016/j.critrevonc.2015.01.003.
    1. Dueland S, Ree AH, Grøholt KK, Saelen MG, Folkvord S, Hole KH, et al. Oxaliplatin-containing preoperative therapy in locally advanced rectal cancer: local response, toxicity and long-term outcome. Clin Oncol (R Coll Radiol) 2016;28:532–9. doi: 10.1016/j.clon.2016.01.014.
    1. Candido S, Maestro R, Polesel J, Catania A, Maira F, Signorelli SS, et al. Roles of neutrophil gelatinase-associated lipocalin (NGAL) in human cancer. Oncotarget. 2014;5:1576–94. doi: 10.18632/oncotarget.1738.
    1. Vandooren J, Van den Steen PE, Opdenakker G. Biochemistry and molecular biology of gelatinase B or matrix metalloproteinase-9 (MMP-9): the next decade. Crit Rev Biochem Mol. 2013;48:222–72. doi: 10.3109/10409238.2013.770819.
    1. Tusher VG, Tibshirani R, Chu G. Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A. 2001;98:5116–21. doi: 10.1073/pnas.091062498.
    1. Schmitt T, Ogris C, Sonnhammer EL. FunCoup 3.0: database of genome-wide functional coupling networks. Nucleic Acids Res. 2014;42:D380–8. doi: 10.1093/nar/gkt984.
    1. MERCURY Study Group Diagnostic accuracy of preoperative magnetic resonance imaging in predicting curative resection of rectal cancer: prospective observational study. Br Med J. 2006;333:779. doi: 10.1136/bmj.38937.646400.55.
    1. Bouzourene H, Bosman FT, Seelentag W, Matter M, Coucke P. Importance of tumor regression assessment in predicting the outcome in patients with locally advanced rectal carcinoma who are treated with preoperative radiotherapy. Cancer. 2002;94:1121–30. doi: 10.1002/cncr.10327.
    1. Hole KH, Larsen SG, Grøholt KK, Giercksky KE, Ree AH. Magnetic resonance-guided histopatholoy for improved accuracy of tumor response evaluation of neoadjuvant treatment in organ-infiltrating rectal cancer. Radiother Oncol. 2013;107:178–83. doi: 10.1016/j.radonc.2013.03.017.
    1. Yan L, Borregaard N, Kjeldsen L, Moses MA. The high molecular weight urinary matrix metalloproteinase (MMP) activity is a complex of gelatinase B/MMP-9 and neutrophil gelatinase-associated lipocalin (NGAL). Modulation of MMP-9 activity by NGAL. J Biol Chem. 2001;276:37258–65. doi: 10.1074/jbc.M106089200.
    1. Dufour A, Overall CM. Missing the target: matrix metalloproteinase antitargets in inflammation and cancer. Trends Pharmacol Sci. 2013;34:233–42. doi: 10.1016/j.tips.2013.02.004.
    1. Meltzer S, Kalanxhi E, Hektoen HH, Dueland S, Flatmark K, Ree AH. Systemic release of osteoprotegerin during oxaliplatin-containing induction chemotherapy and favorable systemic outcome of sequential radiotherapy in rectal cancer. Oncotarget. 2016; doi:10.18632/oncotarget.8995.
    1. LaBaer J, Ramachandran N. Protein microarrays as tools for functional proteomics. Curr Opin Chem Biol. 2005;9:14–9. doi: 10.1016/j.cbpa.2004.12.006.
    1. Kjeldsen L, Johnsen AH, Sengeløv H, Borregaard N. Isolation and primary structure of NGAL, a novel protein associated with human neutrophil gelatinase. J Biol Chem. 1993;268:10425–32.
    1. Yang J, Bielenberg DR, Rodig SJ, Doiron R, Clifton MC, Kung AL, et al. Lipocalin 2 promotes breast cancer progression. Proc Natl Acad Sci U S A. 2009;106:3913–8. doi: 10.1073/pnas.0810617106.
    1. Provatopoulou X, Gounaris A, Kalogera E, Zagouri F, Flessas I, Goussetis E, et al. Circulating levels of matrix metalloproteinase-9 (MMP-9), neutrophil gelatinase-associated lipocalin (NGAL) and their complex MMP-9/NGAL in breast cancer disease. BMC Cancer. 2009;9:390. doi: 10.1186/1471-2407-9-390.
    1. Kubben FJ, Sier CF, Hawinkels LJ, Tschesche H, van Duijn W, Zuidwijk K, et al. Clinical evidence for a protective role of lipocalin-2 against MMP-9 autodegradation and the impact for gastric cancer. Eur J Cancer. 2007;43:1869–76. doi: 10.1016/j.ejca.2007.05.013.
    1. Sun Y, Yokoi K, Li H, Gao J, Hu LM, Liu B, et al. NGAL expression is elevated in both colorectal adenoma-carcinoma sequence and cancer progression and enhances tumorigenesis in xenograft mouse models. Clin Cancer Res. 2011;17:4331–40. doi: 10.1158/1078-0432.CCR-11-0226.
    1. Bolignano D, Donato V, Lacquaniti A, Fazio MR, Bono C, Coppolino G, et al. Neutrophil gelatinase-associated lipocalin (NGAL) in human neoplasias: a new protein enters the scene. Cancer Lett. 2010;288:10–6. doi: 10.1016/j.canlet.2009.05.027.
    1. Bendardaf R, Buhmeida A, Hilska M, Laato M, Syrjänen S, Syrjänen K, et al. MMP-9 (gelatinase B) expression is associated with disease-free survival and disease-specific survival in colorectal cancer patients. Cancer Invest. 2010;28:38–43.
    1. Hurst NG, Stocken DD, Wilson S, Keh C, Wakelam MJ, Ismail T. Elevated serum matrix metalloproteinase 9 (MMP-9) concentration predicts the presence of colorectal neoplasia in symptomatic patients. Br J Cancer. 2007;97:971–7. doi: 10.1038/sj.bjc.6603958.
    1. Fung KY, Priebe I, Purins L, Tabor B, Brierley GV, Lockett T, et al. Performance of serum lipocalin 2 as a diagnostic marker for colorectal cancer. Cancer Biomark. 2013;13:75–9.
    1. Marti J, Fuster J, Sola AM, Hotter G, Molina R, Pelegrina A, et al. Prognostic value of serum neutrophil gelatinase-associated lipocalin in metastatic and nonmetastatic colorectal cancer. World J Surg. 2013;37:1103–9. doi: 10.1007/s00268-013-1930-z.

Source: PubMed

3
Subscribe