Skip to main content

Advertisement

Log in

SELDI-TOF MS profiling of serum for detection of laryngeal squamous cell carcinoma and the progression to lymph node metastasis

  • Original Paper
  • Published:
Journal of Cancer Research and Clinical Oncology Aims and scope Submit manuscript

Abstract

Objectives

Proteomic profiling of serum is an emerging technique to identify new biomarkers indicative of disease severity and progression. Our study was to assess the use of surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) to identify multiple serum protein biomarkers for early detection of laryngeal squamous cell carcinoma (LSCC), establish predictive model, and accurately distinguish LSCC patients with or without lymph node metastasis.

Methods

A cohort of 252 serum samples with LSCC (n = 142) and normal control (n = 110) were consented into this study. These serum samples were randomly divided into training set (including 89 LSCC patients at stages I–II and 65 normal controls, 30 LSCC patients with lymph node metastasis) and blind testing set (including 53 LSCC patients at stages III–IV and 45 normal controls). Serum protein profiles on weak cationic exchange (WCX2) were performed by SELDI-TOF MS and then analyzed by Biomarker Wizard software. The Decision Tree classification algorithm and blind validation were determined by Biomarker Pattern Software (BPS).

Results

A panel of 18 biomarkers ranging 2–30 kDa was selected based on their collective contribution to the optimal separation between stages I–II LSCC patients and healthy controls. Among them, one candidate protein peak with an m/z value of 4,176 Da was selected to establish predictive model by BPS with sensitivity of 86.52% and specificity of 84.62%. The ability to detect LSCC patients was evaluated using blinding test data in stages III and IV cancer patients. A sensitivity of 84.91% and specificity of 82.22% were validated in blind testing set. Meanwhile 14 potential biomarkers could differentiate LSCC patients with or without lymph node metastasis (P < 0.05).

Conclusions

The high sensitivity and specificity achieved by the serum protein biomarkers show great potential for the early detection of LSCC. SELDI-TOF MS serum profiling also is able to distinguish LSCC patients with or without lymph node metastasis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Adam BL, Vlahou A, Semmes OJ, Wright GL Jr (2001) Proteomic approaches to biomarker discovery in prostate and bladder cancers. Proteomics 1:1264–1270

    Article  PubMed  CAS  Google Scholar 

  • Adam BL, Qu Y, Davis JW, Ward MD, Clements MA, Cazares LH, Semmes OJ, Schellhammer PF, Yasui Y, Feng Z, Wright GL Jr (2002) Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. Cancer Res 62:3609–3614

    PubMed  CAS  Google Scholar 

  • Cazares LH, Adam BL, Ward MD, Nasim S, Schellhammer PF, Semmes OJ, Wright GL Jr (2002) Normal, benign, preneoplastic,and malignant prostate cells have distinct protein expression profiles resolved by surface enhanced laser desorption/ionization mass spectrometry. Clin Cancer Res 8:2541–2552

    PubMed  CAS  Google Scholar 

  • Diamandis EP (2003) Proteomic patterns in biological fluids: do they represent the future of cancer diagnostics? Clin Chem 49(8):1272–1275

    Article  PubMed  CAS  Google Scholar 

  • Gretzer MB, Chan DW, van Rootselaar CL, Rosenzweig JM, Dalrymple S, Mangold LA, Partin AW, Veltri RW (2004) Proteomic analysis of dunning prostate cancer cell lines with variable metastatic potential using SELDI-TOF. Prostate 60(4):325–331

    Article  PubMed  CAS  Google Scholar 

  • Li J, Zhang Z, Rosenzweig J, Wang YY, Chan DW (2002) Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer. Clin Chem 48:1296–1304

    PubMed  CAS  Google Scholar 

  • Paradis V, Degos F, Dargere D, Pham N, Belghiti J, Degott C, Janeau JL, Bezeaud A, Delforge D, Cubizolles M, Laurendeau I, Bedossa P (2005) Identification of a new marker of hepatocellular carcinoma by serum protein profiling of patients with chronic liver diseases. Hepatology 41:40–47

    Article  PubMed  CAS  Google Scholar 

  • Petricoin EF, Ardekani AM, Hitt BA, Levine PJ, Fusaro VA, Steinberg SM, Mills GB, Simone C, Fishman DA, Kohn EC, Liotta LA (2002) Use of proteomic patterns in serum to identify ovarian cancer. Lancet 359:572–577

    Article  PubMed  CAS  Google Scholar 

  • Poon TC, Yip TT, Chan AT, Yip C, Yip V, Mok TS, Lee CC, Leung TW, Ho SK, Johnson PJ (2003) Comprehensive proteomic profiling identifies serum proteomic signatures for detection of hepatocellular carcinoma and its subtypes. Clin Chem 49:752–760

    Article  PubMed  CAS  Google Scholar 

  • Sarno A, Bocciolini C, Deganello A, Coscarelli S, Gallo O (2004) Does unnecessary elective neck treatment affect the prognosis of N0 laryngeal cancer patients? Acta Otolaryngol 124(8):980–985

    Article  PubMed  Google Scholar 

  • Schwegler EE, Cazares L, Steel LF, Adam BL, Johnson DA, Semmes OJ, Block TM, Marrero JA, Drake RR (2005) SELDI-TOF MS profiling of serum for detection of the progression of chronic hepatitis C to hepatocellular carcinoma. Hepatology 41(3):634–642

    Article  PubMed  Google Scholar 

  • Semmes OJ, Feng Z, Adam B, Banez LL, Bigbee WL, Campos D, Cazares LH et al (2005) Evaluation of SELDI-TOF-MS serum protein profiling for the detection of prostate cancer: I. Assessment of platform reproducibility. Clin Chem 51(1):102–112

    Article  PubMed  CAS  Google Scholar 

  • Shah JP, Karnell LH, Hoffman HT, Ariyan S, Brown GS, Fee WE, Glass AG, Goepfert H, Ossoff RH, Fremgen A (1997) Patterns of care for cancer of the larynx in the United States. Arch Otolaryngol Head Neck Surg 123(5):475–483

    PubMed  CAS  Google Scholar 

  • Soltys SG, Le QT, Shi G, Tibshirani R, Giaccia AJ, Koong AC (2004) The use of plasma surface-enhanced laser desorption/ionization time-of-flight mass spectrometry proteomic patterns for detection of head and neck squamous cell cancers. Clin Cancer Res 15 10(14):4806–48122

    Article  CAS  Google Scholar 

  • Srinivas PR, Srivastava S, Hanash S, Wright GL Jr (2001) Proteomics in early detection of cancer. Clin Chem 47:1901–1911

    PubMed  CAS  Google Scholar 

  • Vlahou A, Schellhammer PF, Mendrinos S, Patel K, Kondylis FI, Gong L, Nasim S, Wright GL Jr (2001) Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine. Am J Pathol 58:149–501

    Google Scholar 

  • Vlahou A, Schorge JO, Gregory BW, Coleman RL (2003a) Diagnosis of ovarian cancer using decision tree classification of mass spectral data. J Biomed Biotechnol 2003:308–314

    Article  PubMed  Google Scholar 

  • Vlahou A, Laronga C, Wilson L, Gregory B, Fournier K, McGaughey D, Perry RR, Wright GL Jr, Semmes OJ (2003b) A novel approach toward development of a rapid blood test for breast cancer. Clin Breast Cancer 4:203–209

    Article  PubMed  CAS  Google Scholar 

  • Von Eggeling F, Junker K, Fiedle W, Wollscheid V, Durst M, Claussen U, Ernst G (2001) Mass spectrometry meets chip technology: a new proteomic tool in cancer research? Electrophoresis 22:2898–2902

    Article  Google Scholar 

  • Wadsworth JT, Somers KD, Stack BC Jr, Cazares L, Malik G, Adam BL, Wright GL Jr, Semmes OJ (2004) Identification of patients with head and neck cancer using serum protein profiles. Arch Otolaryngol Head Neck Surg 130(1):98–104

    Article  PubMed  Google Scholar 

  • Wu W, Tang X, Hu W, Lotan R, Hong WK, Mao L (2002) Identification and validation of metastasis-associated proteins in head and neck cancer cell lines by two-dimensional electrophoresis and mass spectrometry. Clin Exp Metastasis 19(4):319–326

    Article  PubMed  CAS  Google Scholar 

  • Xiao X, Liu D, Tang Y, Guo F, Xia L, Liu J, He D (2003) Development of proteomic patterns for detecting lung cancer. Dis Markers 19:33–39

    PubMed  CAS  Google Scholar 

  • Xiao X, Zhao X, Liu J, Guo F, Liu D, He D (2004) Discovery of laryngeal carcinoma by serum proteomic pattern analysis. Sci China C Life Sci 47(3):219–223

    Article  PubMed  CAS  Google Scholar 

  • Yu Y, Chen S, Wang LS, Chen WL, Guo WJ, Yan H, Zhang WH, Peng CH, Zhang SD, Li HW, Chen GQ (2005) Prediction of pancreatic cancer by serum biomarkers using surface-enhanced laser desorption/ionization-based decision tree classification. Oncology 68(1):79–86

    Article  PubMed  CAS  Google Scholar 

  • Zhang YF, Wu DL, Guan M, Liu WW, Wu Z, Chen YM, Zhang WZ, Lu Y (2004) Tree analysis of mass spectral urine profiles discriminates transitional cell carcinoma of the bladder from noncancer patient. Clin Biochem 37(9):772–779

    Article  PubMed  CAS  Google Scholar 

  • Zhukov TA, Johanson RA, Cantor AB, Clark RA, Tockman MS (2003) Discovery of distinct protein profiles specific for lung tumors and pre-malignant lung lesions by SELDI mass spectrometry. Lung Cancer 40:267–279

    PubMed  Google Scholar 

Download references

Acknowlegments

This study was supported by the key program for basic research from Science and Technology Commission of Shanghai China (04JC14025).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liang Zhou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cheng, L., Zhou, L., Tao, L. et al. SELDI-TOF MS profiling of serum for detection of laryngeal squamous cell carcinoma and the progression to lymph node metastasis. J Cancer Res Clin Oncol 134, 769–776 (2008). https://doi.org/10.1007/s00432-007-0344-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00432-007-0344-4

Keywords

Navigation