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Nanobiosensing Technologies for Prostate Cancer Diagnostics/Prognostics: Tiny Smart Medicine

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Next Generation Point-of-care Biomedical Sensors Technologies for Cancer Diagnosis

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Abstract

The widespread incidence of disease, high death rate, and relapse has significantly increased the concern for development of better cancer diagnosis and treatment. Breast cancer being the most prevalent form of cancer among women, prostate cancer (PCa) has turned out to be one of the most common lethal cancer type among men aged 50–80 years old. Tumors develop in the prostate gland of the male reproductive system causing significant pain during urinating and sexual intercourse. Other than lung and skin cancer, prostate cancer is the most common cancer prevalent among American men. As per American Cancer Society’s estimate for prostate cancer, there are ~180,890 new cases and ~26,120 deaths in the United States for year 2016. According to recent statistics, ~1 out of 7 men will be diagnosed with prostate cancer during his lifetime. PCa is very difficult to detect in its early stage which is the cause for increased mortality rates every year. Hence, in such a condition where there is an alarming increase of PCa cases, it is important that the disease is accurately detected at an early stage to improve patient outcomes in terms of morbidity, mortality, and relapse. This demands for an effective diagnosis and prognosis tools with improved sensitivity and specificity towards PCa.

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Acknowledgements

The authors acknowledge Department of Bioproducts and Biosystems Engineering, University of Minnesota.

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Authors and Affiliations

  1. Department of Bioproducts and Biosystems Engineering, University of Minnesota, Twin Cities, 2004 Folwell Ave, Saint Paul, MN, 55108, USA

    Renu Singh

  2. Center for Soft and Living Matter, Institute for Basic Science (IBS), UNIST-gil, 50, Ulsan, Republic of Korea

    Chandini C. Mohan

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  1. Renu Singh
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Correspondence to Renu Singh .

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Editors and Affiliations

  1. Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Pranjal Chandra

  2. Institute of Materials Research and Engineering, A*STAR 2 Fusionopolis Way, Singapore, Singapore

    Yen Nee Tan

  3. Electron and Ion Microscopy Group, CSIR- National Physical Laboratory, New Delhi, India

    Surinder P. Singh

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Singh, R., Mohan, C.C. (2017). Nanobiosensing Technologies for Prostate Cancer Diagnostics/Prognostics: Tiny Smart Medicine. In: Chandra, P., Tan, Y., Singh, S. (eds) Next Generation Point-of-care Biomedical Sensors Technologies for Cancer Diagnosis. Springer, Singapore. https://doi.org/10.1007/978-981-10-4726-8_10

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