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Open Access | Published: 2022 - Issue 6

INVESTIGATING THE CHANGING LEVELS OF IMMUNE CHECKPOINT PROTEINS IN THE SERUM OF BREAST CANCER PATIENTS

Jehan Alrahimi1,2, Mahi Yousuf1, Peter Pushparaj3,4, Fatemah Basingab1,2, Kawther Zaher2,3*, Mohammed Hassan5, Eman Alghamdi2, Kaltoom Al-Sakkaf2,3, Alia Aldahlawi1,2

 

  1. Department of Biological Sciences, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
  2. Immunology Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21859, Saudi Arabia.
  3. Department of Medical Laboratory sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
  4. Center of Excellence in Genomic Medicine Research, King Fahad for Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
  5. Department of Medical Basic Sciences, College of Medicine and Health Sciences, Hadharmout University, Yemen.

ABSTRACT

Breast cancer is the most frequent kind of invasive cancer in women. Biomarker monitoring and prognosis provide outstanding clinical information that may be employed to battle various cancers. This study aimed to examine a variety of biomarkers utilizing a multiplex bead array. BTLA, CD27, CD28, TIM-3, HVEM, CD40, LAG-3, TLR-2, PD-1, CD80, CD86, PDL-1, PDL-2, and ICOS are common biomarker checkpoint proteins found in a selective panel. This panel examined a research group of 59 patients with BC and 17 healthy people. The expression patterns of a handful of the fourteen biomarkers varied considerably between people with BC and healthy controls. With P-values of (p= 0.05), (p= 0.02), (p= 0.01), and (p= 0.02), general features of the two groups of malignant and non-malignant patients revealed significant correlations in parameters such as the age of first menstruation, pregnancy, menopausal status, and hormone replacement treatment. With P- values, there was a substantial rise in BTLA, HVEM, TLR-2, and PDL-1 serum levels, as well as a significant drop in CD86. Furthermore, these markers indicated a significant relationship with the clinic-pathological aspects of the patients. With a P-value of 0.0002, both BTLA and HVME showed a statistically significant connection with hormone receptor phenotypes. For ER status, BTLA, CD86, and PDL1 had equivalent significance values of (p= 0.0148), (p= 0.0166), and (p= 0.0001). BTLA was related to lymph node involvement (p=0.0397), whereas TLR2 was associated with HER2 status (p=0.0332). BTLA, HVEM, TLR-2 CD86, and PDL-1 may be valuable biomarkers for cancer monitoring and prognosis.

Keywords: Immune checkpoints, Breast cancer, Multiplex, CD86, PDL-1, TIM-3


 

 

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