Correlation Between Serum Levels of p53 During Radiotherapy in Cervical Cancer Patients

  • B. Sai LalithaEmail author
  • M. Malini
  • M. Venkateswara Rao
  • Aparna Suryadevara
  • Rajesh Kotcherlakota
  • Chitta Ranjan Patra
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)


Cervical cancer is the fourth largest for both incidence and mortality in females due to lack of proper diagnosis in early stages of cancer. Therefore, identification of serum biomarkers could help in earlier diagnosis and chances to improve the survival of cervical cancer patients. In this regard, we studied the levels of circulating p53 protein in cancer patients’ serum during the radiation therapy which is widely used method to treat cervical cancer. p53 is a tumor suppressor protein and is associated with genetic changes of the cell. It has a vital role in cell cycle and apoptosis during cell mutations. We examined the relationship between the levels of circulating p53 protein and radiotherapy. Our hypothesis was to prove p53 protein as a biomarker for clinical response to radiotherapy of cervical cancer patients’. Five cervical cancer patients’ were enrolled for the study and blood samples were collected from them before, during and after the radiation treatment. Post-radiotherapy, patients’ clinical response to radiotherapy was determined from the expression of p53 protein using Western blot method. For all the samples, the elevation of p53 protein was not observed in serum. As a preliminary study our results revealed that there was no correlation between serum levels of p53 protein and radiotherapy clinical response, as no band was observed on the transfer membrane after blotting.


P53 protein Cervical cancer Radiation response Biomarker Western blot 


  1. 1.
    Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68(6):394–424. Scholar
  2. 2.
    Burd EM (2003) Human papillomavirus and cervical cancer. Clin Microbiol Rev 16(1):1–17. Scholar
  3. 3.
    Linzer DI, Levine AJ (1979) Characterization of a 54 K Dalton cellular SV40 tumor antigen present in SV40-transformed cells and uninfected embryonal carcinoma cells. Cell 17(1):43–52CrossRefGoogle Scholar
  4. 4.
    Lane DP (1984) Cell immortalization and transformation by the p53 gene. Nature 312(5995):596CrossRefGoogle Scholar
  5. 5.
    McBride OW, Merry D, Givol D (1986) The gene for human p 53 cellular tumor antigen is located on chromosome 17 short arm (17p13). Proc Nat Acad Sci 83(1):130–134. PMID: 3001719CrossRefGoogle Scholar
  6. 6.
    Levine AJ (1997) p53, the cellular gatekeeper for growth and division. Cell 88:323–331CrossRefGoogle Scholar
  7. 7.
    Bargonetti J, Manfredi JJ (2002) Multiple roles of the tumor suppressor p53. Curr Opin Oncol 14:86–91CrossRefGoogle Scholar
  8. 8.
    Fridman JS, Lowe SW (2003) Control of apoptosis by p53. Oncogene 22:9030–9040CrossRefGoogle Scholar
  9. 9.
    Vousden KH, Lu X (2002) Live or let die: the cell’s response to p53. Nat Rev Cancer 2:594–604CrossRefGoogle Scholar
  10. 10.
    Delaney G et al (2014) Correlation between Akt and P53 protein expression and chemoradiotherapy response in cervical cancer patients. HAYATI J Biosci 21(4):173–179. Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • B. Sai Lalitha
    • 1
    Email author
  • M. Malini
    • 1
  • M. Venkateswara Rao
    • 1
  • Aparna Suryadevara
    • 2
  • Rajesh Kotcherlakota
    • 3
    • 4
  • Chitta Ranjan Patra
    • 3
    • 4
  1. 1.Department of Biomedical Engineering, University College of EngineeringOsmania UniversityHyderabadIndia
  2. 2.Department of Radiation OncologyBasavatharakam Cancer Hospital & Research CenterHyderabadIndia
  3. 3.Division of Applied BiologyIndian Institute of Chemical Technology (CSIR-IICT)HyderabadIndia
  4. 4.Academy of Scientific and Innovative Research (AcSIR)GhaziabadIndia

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