Skip to main content

Abstract

Gastrointestinal cancers are a major threat to humans nowadays, due to their high incidence and mortality rates. The early detection of GI cancers was the key to prevention and treatment. Metabolomic profiling and analysis of volatile biomarkers are new and promising screening tools for the diagnosis of several cancers. Metabolites are small molecules produced during cell metabolism that represent the functional status of cell/tissue/malignant phenotype. Studies on biofluid metabolomics (serum, urine, plasma) are emerging fast on detecting new biomarkers for early diagnosis of cancer diseases and grasp a great promise for diagnostic applications. Volatile Organic Compounds (VOCs) signify diverse volatile metabolites which can be able to emit and diagnose in urine, breath, sweat, and feces. Nowadays, there is an increasing interest in the use and evaluation of VOCs with emerging analytical technologies in the diagnosis of GI cancer. With the advent of novel technologies in clinical diagnosis, metabolome analysis is an effective tool for metabolite profiling of biological processes in cells/tissues. This review emphasizes recent advancements in the identification of GI cancer biomarkers, particularly it focuses on metabolic markers and the emerging field of volatile biomarkers.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Altomare DF, Di Lena M, Porcelli F, Trizio L, Travaglio E, Tutino M et al (2013) Exhaled volatile organic compounds identify patients with colorectal cancer. Br J Surg 100(1):144–150

    CAS  PubMed  Google Scholar 

  • Amal H, Leja M, Funka K, Lasina I, Skapars R, Sivins A et al (2016) Breath testing as potential colorectal cancer screening tool. Int J Cancer 138(1):229–236

    CAS  PubMed  Google Scholar 

  • Armitage EG, Southam AD (2016) Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics. Metabolomics 12(9):146

    PubMed  PubMed Central  Google Scholar 

  • Broza YY, Vishinkin R, Barash O, Nakhleh MK, Haick H (2018) Synergy between nanomaterials and volatile organic compounds for non-invasive medical evaluation. Chem Soc Rev 47(13):4781–4859

    CAS  PubMed  Google Scholar 

  • Buck A, Aichler M, Huber K, Walch A (2017) In situ metabolomics in cancer by mass spectrometry imaging. In: Advances in cancer research, vol 134. Academic, Cambridge, pp 117–132

    Google Scholar 

  • Callejón-Leblic B, García-Barrera T, Grávalos-Guzmán J, Pereira-Vega A, Gómez-Ariza JL (2016) Metabolic profiling of potential lung cancer biomarkers using bronchoalveolar lavage fluid and the integrated direct infusion/gas chromatography mass spectrometry platform. J Proteome 145:197–206

    Google Scholar 

  • Chen JL, Fan J, Yan LS, Guo HQ, Xiong JJ, Ren Y, Hu JD (2012) Urine metabolite profiling of human colorectal cancer by capillary electrophoresis mass spectrometry based on MRB. Gastroenterol Res Prac 2012:8

    Google Scholar 

  • Chen J, Hou H, Chen H, Luo Y, Zhang L, Zhang Y et al (2019) Urinary metabolomics for discovering metabolic biomarkers of laryngeal cancer using UPLC-QTOF/MS. J Pharm Biomed Anal 167:83–89

    CAS  PubMed  Google Scholar 

  • Correa P (2013) Gastric cancer: overview. Gastroenterol Clin N Am 42:211–217

    Google Scholar 

  • Davis VW, Schiller DE, Eurich D, Sawyer MB (2012) Urinary metabolomic signature of esophageal cancer and Barrett’s esophagus. World J Surg Oncol 10(1):271

    PubMed  PubMed Central  Google Scholar 

  • Dettmer K, Aronov PA, Hammock BD (2007) Mass spectrometry-based metabolomics. Mass Spectrom Rev 26(1):51–78

    CAS  PubMed  PubMed Central  Google Scholar 

  • Djukovic D, Baniasadi HR, Kc R, Hammoud Z, Raftery D (2010) Targeted serum metabolite profiling of nucleosides in esophageal adenocarcinoma. Rapid Commun Mass Spectrom 24(20):3057–3062

    CAS  PubMed  Google Scholar 

  • Emwas AHM (2015) The strengths and weaknesses of NMR spectroscopy and mass spectrometry with particular focus on metabolomics research. In: Metabonomics. Humana Press, New York, pp 161–193

    Google Scholar 

  • García A, Godzien J, López-Gonzálvez Á, Barbas C (2017) Capillary electrophoresis mass spectrometry as a tool for untargeted metabolomics. Bioanalysis 9(1):99–130

    PubMed  Google Scholar 

  • Geijsen AJ, Brezina S, Keski-Rahkonen P, Baierl A, Bachleitner-Hofmann T, Bergmann MM et al (2019) Plasma metabolites associated with colorectal cancer: a discovery-replication strategy. Int J Cancer 145(5):1221–1231

    CAS  PubMed  PubMed Central  Google Scholar 

  • Groome M, Lindsay J, Ross PE, Cotton JP, Hupp TR, Dillon JF (2008) Use of oesophageal stress response proteins as potential biomarkers in the screening for Barrett’s oesophagus. Eur J Gastroenterol Hepatol 20(10):961–965

    CAS  PubMed  Google Scholar 

  • Hasim A, Ma H, Mamtimin B, Abudula A, Niyaz M, Zhang LW et al (2012) Revealing the metabonomic variation of EC using 1 H-NMR spectroscopy and its association with the clinicopathological characteristics. Mol Biol Rep 39(9):8955–8964

    CAS  PubMed  Google Scholar 

  • Hata T, Takemasa I, Takahashi H, Haraguchi N, Nishimura J, Hata T et al (2017) Downregulation of serum metabolite GTA-446 as a novel potential marker for early detection of colorectal cancer. Br J Cancer 117(2):227

    CAS  PubMed  PubMed Central  Google Scholar 

  • Ikeda A, Nishiumi S, Shinohara M, Yoshie T, Hatano N, Okuno T et al (2012) Serum metabolomics as a novel diagnostic approach for gastrointestinal cancer. Biomed Chromatogr 26(5):548–558

    CAS  PubMed  Google Scholar 

  • Jordan A, Hansel A, Holzinger R, Lindinger W (1995) Acetonitrile and benzene in the breath of smokers and non-smokers investigated by proton transfer reaction mass spectrometry (PTR-MS). Int J Mass Spectrom Ion Process 148(1–2):L1–L3

    CAS  Google Scholar 

  • Kim S, Yin X, Prodhan MAI, Zhang X, Zhong Z, Kato I (2019) Global plasma profiling for colorectal cancer-associated volatile organic compounds: a proof-of-principle study. J Chromatogr Sci 57(5):385–396

    CAS  PubMed  PubMed Central  Google Scholar 

  • Krilaviciute A, Heiss JA, Leja M, Kupcinskas J, Haick H, Brenner H (2015) Detection of cancer through exhaled breath: a systematic review. Oncotarget 6(36):38643

    PubMed  PubMed Central  Google Scholar 

  • Kumar S, Huang J, Abbassi-Ghadi N, Mackenzie HA, Veselkov KA, Hoare JM et al (2015) Mass spectrometric analysis of exhaled breath for the identification of volatile organic compound biomarkers in esophageal and gastric adenocarcinoma. Ann Surg 262(6):981–990

    PubMed  Google Scholar 

  • Lai Z, Tsugawa H, Wohlgemuth G, Mehta S, Mueller M, Zheng Y et al (2018) Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics. Nat Methods 15(1):53

    CAS  PubMed  Google Scholar 

  • Le Gall G, Guttula K, Kellingray L, Tett AJ, ten Hoopen R, Kemsley EK et al (2019) Correction: metabolite quantification of faecal extracts from colorectal cancer patients and healthy controls. Oncotarget 10(17):1660

    PubMed  PubMed Central  Google Scholar 

  • Li F, Qin X, Chen H, Qiu L, Guo Y, Liu H et al (2013) Lipid profiling for early diagnosis and progression of colorectal cancer using direct-infusion electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry. Rapid Commun Mass Spectrom 27(1):24–34

    PubMed  Google Scholar 

  • Liu R, Peng Y, Li X, Wang Y, Pan E, Guo W et al (2013) Identification of plasma metabolomic profiling for diagnosis of esophageal squamous-cell carcinoma using an UPLC/TOF/MS platform. Int J Mol Sci 14(5):8899–8911

    PubMed  PubMed Central  Google Scholar 

  • Lourenço C, Turner C (2014) Breath analysis in disease diagnosis: methodological considerations and applications. Metabolites 4(2):465–498

    PubMed  PubMed Central  Google Scholar 

  • Miyagi Y, Higashiyama M, Gochi A, Akaike M, Ishikawa T, Miura T et al (2011) Plasma free amino acid profiling of five types of cancer patients and its application for early detection. PLoS One 6(9):e24143

    CAS  PubMed  PubMed Central  Google Scholar 

  • Monleon D, Morales JM, Barrasa A, Lopez JA, Vazquez C, Celda B (2009) Metabolite profiling of fecal water extracts from human colorectal cancer. NMR Biomed 22(3):342–348

    CAS  PubMed  Google Scholar 

  • Nakajima T, Katsumata K, Kuwabara H, Soya R, Enomoto M, Ishizaki T et al (2018) Urinary polyamine biomarker panels with machine-learning differentiated colorectal cancers, benign disease, and healthy controls. Int J Mol Sci 19(3):756

    PubMed Central  Google Scholar 

  • Oakley-Girvan I, Davis SW (2017) Breath based volatile organic compounds in the detection of breast, lung, and colorectal cancers: a systematic review. Cancer Biomark 21(1):29–39

    PubMed  Google Scholar 

  • Patel S, Ahmed S (2015) Emerging field of metabolomics: big promise for cancer biomarker identification and drug discovery. J Pharm Biomed Anal 107:63–74

    CAS  PubMed  Google Scholar 

  • Peng G, Hakim M, Broza YY, Billan S, Abdah-Bortnyak R, Kuten A et al (2010) Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors. Br J Cancer 103(4):542

    CAS  PubMed  PubMed Central  Google Scholar 

  • Prathyusha AMVN, Raghu G, Bramhachari PV (2017) HIF-1α: its role in metastasis of oesophageal malignancy. In: Role of transcription factors in gastrointestinal malignancies. Springer, Singapore, pp 71–87

    Google Scholar 

  • Ransohoff DF, Sox HC (2016) Clinical practice guidelines for colorectal cancer screening: new recommendations and new challenges. JAMA 315(23):2529–2531

    PubMed  Google Scholar 

  • Thrumurthy SG, Chaudry MA, Hochhauser D, Mughal M (2013) The diagnosis and management of gastric cancer. BMJ 347:f6367

    PubMed  Google Scholar 

  • Tillu H, Nagaraju GP (2017) YY1 and KLF4: their role in gastrointestinal malignancies. In: Role of transcription factors in gastrointestinal malignancies. Springer, Singapore, pp 3–15

    Google Scholar 

  • Tong H, Wang Y, Li Y, Liu S, Chi C, Liu D et al (2017) Volatile organic metabolites identify patients with gastric carcinoma, gastric ulcer, or gastritis and control patients. Cancer Cell Int 17(1):108

    PubMed  PubMed Central  Google Scholar 

  • Uchiyama K, Yagi N, Mizushima K, Higashimura Y, Hirai Y, Okayama T et al (2017) Serum metabolomics analysis for early detection of colorectal cancer. J Gastroenterol 52(6):677–694

    CAS  PubMed  Google Scholar 

  • Wang L, Chen J, Chen L, Deng P, Xiang P, Li M et al (2013) 1 H-NMR based metabonomic profiling of human esophageal cancer tissue. Mol Cancer 12(1):1

    Google Scholar 

  • Wang J, Zhang T, Shen X, Liu J, Zhao D, Sun Y et al (2016) Serum metabolomics for early diagnosis of esophageal squamous cell carcinoma by UHPLC-QTOF/MS. Metabolomics 12(7):116

    Google Scholar 

  • Wang Z, Lin Y, Liang J, Huang Y, Ma C, Liu X, Yang J (2017a) Nmr-based metabolomic techniques identify potential urinary biomarkers for early colorectal cancer detection. Oncotarget 8(62):105819

    PubMed  PubMed Central  Google Scholar 

  • Wang D, Li W, Zou Q, Yin L, Du Y, Gu J, Suo J (2017b) Serum metabolomic profiling of human gastric cancer and its relationship with the prognosis. Oncotarget 8(66):110000

    PubMed  PubMed Central  Google Scholar 

  • Wang M, Long Z, Tian J, Chen S, Sun H, Jian R, et al (2018) Plasma biomarkers for colorectal cancer diagnosis based on metabolomics

    Google Scholar 

  • Wang G, Li Y, Liu M, Guo N, Han C, Liu D et al (2019) Determination of volatile organic compounds in SW620 colorectal cancer cells and tumor-bearing mice. J Pharm Biomed Anal 167:30–37

    CAS  PubMed  Google Scholar 

  • Wild N, Andres H, Rollinger W, Krause F, Dilba P, Tacke M, Karl J (2010) A combination of serum markers for the early detection of colorectal cancer. Clin Cancer Res 16(24):6111–6121

    CAS  PubMed  Google Scholar 

  • Wishart D, Mandal R, Stanislaus A, Ramirez-Gaona M (2016) Cancer metabolomics and the human metabolome database. Metabolites 6(1):10

    PubMed Central  Google Scholar 

  • Xu ZQ, Broza YY, Ionsecu R, Tisch U, Ding L, Liu H et al (2013) A nanomaterial-based breath test for distinguishing gastric cancer from benign gastric conditions. Br J Cancer 108(4):941

    CAS  PubMed  PubMed Central  Google Scholar 

  • Xu J, Chen Y, Zhang R, He J, Song Y, Wang J et al (2016) Global metabolomics reveals potential urinary biomarkers of esophageal squamous cell carcinoma for diagnosis and staging. Sci Rep 6:35010

    CAS  PubMed  PubMed Central  Google Scholar 

  • Yang Z, Liu Y, Ma L, Wen X, Ji H, Li K (2019) Exploring potential biomarkers of early stage esophageal squamous cell carcinoma in pre-and post-operative serum metabolomic fingerprint spectrum using 1H-NMR method. Am J Transl Res 11(2):819

    CAS  PubMed  PubMed Central  Google Scholar 

  • Yue H, Wang Y, Zhang Y, Ren H, Wu J, Ma L, Liu S (2013) A metabonomics study of colorectal cancer by rrlc-qtof/ms. J Liq Chromatogr Relat Technol 36(4):428–438

    CAS  Google Scholar 

  • Zhang X, Xu L, Shen J, Cao B, Cheng T, Zhao T et al (2013) Metabolic signatures of esophageal cancer: NMR-based metabolomics and UHPLC-based focused metabolomics of blood serum. Biochim Biophys Acta 1832(8):1207–1216

    CAS  PubMed  Google Scholar 

  • Zhao X, Wang W, Wang J, Yang J, Xu G (2006) Urinary profiling investigation of metabolites with cis-diol structure from cancer patients based on UPLC-MS and HPLC-MS as well as multivariate statistical analysis. J Sep Sci 29(16):2444–2451

    CAS  PubMed  Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge UGC, Government of India, for financial support to AMVNP in the form of UGC-CSIR-JRF & SRF under the Grant No: F.No. 19-1/2015(SA-1).

Conflict of Interest

We declare we do not have any conflict of interest.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Prathyusha, A.M.V.N., Naidu, B.P., Veera Bramhachari, P. (2020). Metabolic Markers for Early Detection of Gastrointestinal Cancers. In: Veera Bramhachari, P., Neelapu, N. (eds) Recent Advancements in Biomarkers and Early Detection of Gastrointestinal Cancers . Diagnostics and Therapeutic Advances in GI Malignancies. Springer, Singapore. https://doi.org/10.1007/978-981-15-4431-6_5

Download citation

Publish with us

Policies and ethics