Title

Haematological and biochemical analysis of blood samples from early and late stage breast cancer patients in India

Authors

Smriti Shreya¹, Anusmita Shekher^2,3, Puneet Puneet², Shyam Babu Prasad¹ & Buddhi Prakash Jain^4*

Affiliation

¹Department of Zoology, Mahatma Gandhi Central University, Motihari, Bihar, India; ²Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University Varanasi, Uttar Pradesh; ³Department of Biochemistry, Institute of Sciences, Banaras Hindu University Varanasi, Uttar Pradesh; ⁴Gene Expression and Signaling Lab, Department of Zoology, Mahatma Gandhi Central University, Motihari, Bihar, India; *Corresponding author

Email

Smriti Shreya – E-mail: smritishreyasss@gmail.com

Anusmita Shekher – E-mail: anusmita.mhg.bhu15@gmail.com

Puneet – E-mail: puneetimsbhu@gmail.com

Shyam Babu Prasad: – E-mail: shyambabuprasad@mgcub.ac.in

Buddhi Prakash Jain: – E-mail: buddhiprakash@mgcub.ac.in

Article Type

Research Article

Date

Received July 1, 2023; Revised July 31, 2023; Accepted July 31, 2023, Published July 31, 2023

Breast cancer is the most prevalent cancer with the maximum number of cases worldwide. Early diagnosis of the cancer is necessary for an effective treatment plan. Due to a lack of awareness, diagnosis of breast cancer at an early stage is difficult. The present study aims to evaluate and compare the haematological and biochemical profiles of the early and late-stage breast cancer patient's data records. A retrospective cohort study was conducted on 56 breast cancer patients at the Institute of Medical Sciences, Banaras Hindu University India. Patient data records were obtained and haematological and biochemical parameters were arranged on an Excel sheet and analyzed. Random blood sugar (RBS), alkaline phosphates (ALP) levels, and urea levels were significantly high in patients with late-stage breast cancer (Tumor stage III and IV). At the advanced stage of breast cancer hemoglobin level falls and patients became anemic. Further large-scale studies with a greater number of patient data can help establish these parameters individually or in combination as prognostic and diagnostic markers in breast cancer staging.

Keywords

Breast cancer; haematology; tumor; urea; haemoglobin.

Citation

Shreya et al. Bioinformation 19(7): 806-809 (2023)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.