Breast cancer considers type of cancer that arises from the tissues of the a breast. Globally, breast cancer is estimated for 22.9% of all cancers in women. Usually, the first noticeable sign of breast cancer is a lump that looks different from the other breast tissues. The are main risk factors for breast cancer are female gender and older age. Smoking, genetics, lack of childbearing or breastfeeding, exposure to radio pollution and, elevated levels of certain hormones, dietary patterns are considered the other potential risk factors (2). Objectives: This study aims to identify the role of autoantibody P53 associated with women’s breast cancer. Methods: In order to gather medical data from (130) participants at the Imam Al-Sadiq General Teaching Hospital in Iraq-Babylon, the oncologist divided the subjects into two groups based on predetermined criteria: the a control group and the patient,s (case group). There demographic study covered age, education, marital status, and place of residence. According to laboratory findings, P53 levels were determined using the ELISA technique. Results: The results are revealed crucial variations in human protein (P53) association among breast cancer samples (case groups) and control groups. P53 level with the women breast cancer group. Acording age mean Std (48.26±8.55) case groups, (48.60±11.11) control groups. Acording total treatment of p53 for study groups means±Std (218.974±216.423) case groups, (182.988±19.960) control groups. p53 mean comparison between treatment groups for cases mean±Std (180.139±18.368) Acording before chemo, (238.989±274.923) Acording chemotherapy, (197.173±14.399) Acording hormonal, (218.975±216.424) Total. Conclusion: They might be viewed as reliable indicators for providing information concerning women’s breast cancer diagnosis:.

1.
Glick
D.
,
Barth
S.
,
Macleod
K.F.
Autophagy: Cellular and molecular mechanisms
.
J Pathol.
2010
;
221
(
1
):
3
12
.
2.
Claessens
A.K.M.
,
Ibragimova
K.I.E.
,
Geurts
S.M.E.
,
Bos
M.E.M.M.
,
Erdkamp
F.L.G.
,
Tjan-Heijnen
V.C.G.
The role of chemotherapy in treatment of advanced breast cancer: an overview for clinical practice
.
Crit Rev Oncol Hematol [Internet].
2020
;
153
(April):
102988
. Available from:
3.
Brewer
H.R.
,
Jones
M.E.
,
Schoemaker
M.J.
,
Ashworth
A.
,
Swerdlow
A.J.
Family history and risk of breast cancer: an analysis accounting for family structure
.
Breast Cancer Res Treat.
2017
;
165
(
1
):
193
200
.
4.
Grunfeld
E.A.
,
Ramirez
A.J.
,
Hunter
M.S.
,
Richards
M.A.
Women’s knowledge and beliefs regarding breast cancer
.
Br J Cancer.
2002
;
86
(
9
):
1373
8
.
5.
Talib
W.H.
,
Al-Hadid
S.A.
,
Ali
M.B.W.
,
Al-Yasari
I.H.
,
Ali
M.R.A.
Role of curcumin in regulating p53 in breast cancer: An overview of the mechanism of action
.
Breast Cancer Targets Ther.
2018
;
10
:
207
17
.
6.
Duffy
M.J.
,
Synnott
N.C.
,
O’Grady
S.
,
Crown
J.
Targeting p53 for the treatment of cancer
.
Semin Cancer Biol [Internet]
.
2022
;
79
(December 2019):
58
67
. Available from:
7.
Khalili
A.F.
,
Shahnazi
M.
Breast cancer screening (breast self-examination, clinical breast exam, and mammography) in women referred to health centers in Tabriz
,
Iran. Indian J Med Sci.
2010
;
64
(
4
):
149
62
.
8.
Polyak
K.
Breast cancer: Origins and evolution
.
J Clin Invest.
2007
;
117
(
11
):
3155
63
.
9.
Taffurelli
M.
Ductal carcinoma in situ of the breast
.
Ductal Carcinoma Situ Breast.
2018
;
1
216
.
10.
Yurttakal
A.H.
,
Erbay
H.
,
İkizceli
T.
,
Karaçavuş
S.
Detection of breast cancer via deep convolution neural networks using MRI images
.
Multimed Tools Appl.
2020
;
79
(
21–22
):
15555
73
.
11.
Yadav
S.S.
,
Jadhav
S.M.
Thermal infrared imaging-based breast cancer diagnosis using machine learning techniques
.
Multimed Tools Appl.
2022
;
81
(
10
):
13139
57
.
12.
Schrag
D.
,
Garewal
H.S.
,
Burstein
H.J.
,
Samson
D.J.
,
Von Hoff
D.D.
,
Somerfield
M.R.
American Society of Clinical Oncology technology assessment: Chemotherapy sensitivity and resistance assays
.
J Clin Oncol.
2004
;
22
(
17
):
3631
8
.
13.
Hainaut
P.
,
Plymoth
A.
Cancer as a metabolic disease
.
Curr Opin Oncol.
2012
;
24
(
1
):
56
7
.
14.
Mohite
V.
,
Pratinidhi
A.
,
Mohite
R.
Dietary factors and breast cancer: A case-control study from rural India
.
Asian J Med Sci.
2014
;
6
(
1
):
55
60
.
15.
Vishwakarma
G.
,
Ndetan
H.
,
Das
D.N.
,
Gupta
G.
,
Suryavanshi
M.
,
Mehta
A.
,
Singh
K.P.
Reproductive factors and breast cancer risk: A meta-analysis of case–control studies in Indian women
.
South Asian journal of cancer.
2019
Apr;
8
(
02
):
080
4
.
16.
Dalton
S.O.
,
Düring
M.
,
Ross
L.
,
Carlsen
K.
,
Mortensen
P.B.
,
Lynch
J.
,
Johansen
C.
The relation between socioeconomic and demographic factors and tumour stage in women diagnosed with breast cancer in Denmark, 1983–1999
.
British journal of cancer.
2006
Sep;
95
(
5
):
653
9
.
17.
Levine
A.J.
p53, the cellular gatekeeper for growth and division
.
cell.
1997
Feb 7;
88
(
3
):
323
31
.
18.
Ashford
A.
Inherited genetic factors and breast cancer. Diseases of the breast
.
Philadelphia, PA: Lippincott Williams and Wilkins.
2014
.
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