Association of p53 codon 72 polymorphisms with expression status of hormone receptors like ER, PR, and HER-2 in invasive ductal breast carcinoma in Bangladeshi women
Authors
- Md. Zillur RahmanDepartment of Pathology, Bangabandhu Sheikh Mujib Medical University (currently, Bangladesh Medical University), Dhaka, Bangladesh
- Md. Jibran Alam
Department of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh - Amlan BhattacharjeeDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Md. Azizur Rahman Riyaz Department of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh
- Fahmida Binta WaliDepartment of Environmental Biotechnology, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh
- Inzamamul Ismail ShawonDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh
- Syeda Rumman Aktar Siddiqui Department of of Biochemistry, Chittagong Medical College, Chattogram, Bangladesh
- Laila KhaledaDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh
- Mohammad Al-ForkanDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh
DOI:
Keywords
Downloads
Correspondence
Publication history
Responsible editor
Reviewers
Funding
Ethical approval
dated 28 June 2021).
Trial registration number
Copyright
Published by Bangabandhu Sheikh Mujib Medical University (currently Bangladesh Medical University).
Methods: This study included 203 formalin-fixed paraffin-embedded specimens of histologically confirmed IDC, with immunohistochemical analyses for ER, PR, and HER-2 status from November 2021 to October 2022. The specimens were collected from one laboratory in each of the Dhaka and Chattogram cities. p53 codon 72 genotypes were detected using PCR-RFLP.
Results: Most patients (77%) were aged 41–60 years. All cases were IDC, with grade II (79.3%) and stage II being most prevalent (82%). ER-positive tumours were observed in 65.5% of patients, while 69% tumours were PR-negative and HER-2-negative. The GC (Arg/Pro) genotype was predominant (58.6%), followed by CC and GG (20.7% each). Statistically significant associations were found between the GC genotype and size less than 5 cm (P<0.01), axillary lymph node metastasis (P<0.01), and PR-negative tumours (P=0.02). Patients with GC+GG genotypes had higher odds of axillary lymph node metastasis (age, tumour grade and tumour stage adjusted odds ratio 21.8; 95% confidence interval 7.0–67.9), PR-negative tumours (aOR 0.2; 95% CI 0.1–0.6) and HER-2 negative tumours (aOR 0.3; 95% CI 0.1–0.9).
Conclusion: Our study suggests that the Arginine allele at p53 codon 72, in either homozygous or heterozygous form, is associated with more aggressive IDC features in Bangladeshi women, including axillary lymph node metastasis and hormone receptor negative tumours.

Groups based on pre-test marks | Pretest | Posttest Marks (%) | Difference in pre and post-test marks (mean improvement) | P |
Didactic lecture classes | ||||
<50% | 36.6 (4.8) | 63.2 (9.4) | 26.6 | <0.001 |
≥50% | 52.8 (4.5) | 72.4 (14.9) | 19.6 | <0.001 |
Flipped classes | ||||
<50% | 36.9 (4.7) | 82.2 (10.8) | 45.4 | <0.001 |
≥50% | 52.8 (4.6) | 84.2 (10.3) | 31.4 | <0.001 |
Data presented as mean (standard deviation) |
Background characteristics | Number (%) |
Age at presentation (weeks)a | 14.3 (9.2) |
Gestational age at birth (weeks)a | 37.5 (2.8) |
Birth weight (grams)a | 2,975.0 (825.0) |
Sex |
|
Male | 82 (41) |
Female | 118 (59) |
Affected side |
|
Right | 140 (70) |
Left | 54 (27) |
Bilateral | 6 (3) |
Delivery type |
|
Normal vaginal delivery | 152 (76) |
Instrumental delivery | 40 (20) |
Cesarean section | 8 (4) |
Place of delivery |
|
Home delivery by traditional birth attendant | 30 (15) |
Hospital delivery by midwife | 120 (60) |
Hospital delivery by doctor | 50 (25) |
Prolonged labor | 136 (68) |
Presentation |
|
Cephalic | 144 (72) |
Breech | 40 (20) |
Transverse | 16 (8) |
Shoulder dystocia | 136 (68) |
Maternal diabetes | 40 (20) |
Maternal age (years)a | 27.5 (6.8) |
Parity of mother |
|
Primipara | 156 (78) |
Multipara | 156 (78) |
aMean (standard deviation), all others are n (%) |
Background characteristics | Number (%) |
Age at presentation (weeks)a | 14.3 (9.2) |
Gestational age at birth (weeks)a | 37.5 (2.8) |
Birth weight (grams)a | 2,975.0 (825.0) |
Sex |
|
Male | 82 (41) |
Female | 118 (59) |
Affected side |
|
Right | 140 (70) |
Left | 54 (27) |
Bilateral | 6 (3) |
Delivery type |
|
Normal vaginal delivery | 152 (76) |
Instrumental delivery | 40 (20) |
Cesarean section | 8 (4) |
Place of delivery |
|
Home delivery by traditional birth attendant | 30 (15) |
Hospital delivery by midwife | 120 (60) |
Hospital delivery by doctor | 50 (25) |
Prolonged labor | 136 (68) |
Presentation |
|
Cephalic | 144 (72) |
Breech | 40 (20) |
Transverse | 16 (8) |
Shoulder dystocia | 136 (68) |
Maternal diabetes | 40 (20) |
Maternal age (years)a | 27.5 (6.8) |
Parity of mother |
|
Primipara | 156 (78) |
Multipara | 156 (78) |
aMean (standard deviation), all others are n (%) |
Mean escape latency of acquisition day | Groups | ||||
NC | SC | ColC | Pre-SwE Exp | Post-SwE Exp | |
Days |
|
|
|
|
|
1st | 26.2 (2.3) | 30.6 (2.4) | 60.0 (0.0)b | 43.2 (1.8)b | 43.8 (1.6)b |
2nd | 22.6 (1.0) | 25.4 (0.6) | 58.9 (0.5)b | 38.6 (2.0)b | 40.5 (1.2)b |
3rd | 14.5 (1.8) | 18.9 (0.4) | 56.5 (1.2)b | 34.2 (1.9)b | 33.8 (1.0)b |
4th | 13.1 (1.7) | 17.5 (0.8) | 53.9 (0.7)b | 35.0 (1.6)b | 34.9 (1.6)b |
5th | 13.0 (1.2) | 15.9 (0.7) | 51.7 (2.0)b | 25.9 (0.7)b | 27.7 (0.9)b |
6th | 12.2 (1.0) | 13.3 (0.4) | 49.5 (2.0)b | 16.8 (1.1)b | 16.8 (0.8)b |
Average of acquisition days | |||||
5th and 6th | 12.6 (0.2) | 14.6 (0.8) | 50.6 (0.7)b | 20.4 (2.1)a | 22.4 (3.2)a |
NC indicates normal control; SC, Sham control; ColC, colchicine control; SwE, swimming exercise exposure. aP <0.05; bP <0.01. |
Categories | Number (%) |
Sex |
|
Male | 36 (60.0) |
Female | 24 (40.0) |
Age in yearsa | 8.8 (4.2) |
Education |
|
Pre-school | 20 (33.3) |
Elementary school | 24 (40.0) |
Junior high school | 16 (26.7) |
Cancer diagnoses |
|
Acute lymphoblastic leukemia | 33 (55) |
Retinoblastoma | 5 (8.3) |
Acute myeloid leukemia | 4 (6.7) |
Non-Hodgkins lymphoma | 4 (6.7) |
Osteosarcoma | 3 (5) |
Hepatoblastoma | 2 (3.3) |
Lymphoma | 2 (3.3) |
Neuroblastoma | 2 (3.3) |
Medulloblastoma | 1 (1.7) |
Neurofibroma | 1 (1.7) |
Ovarian tumour | 1 (1.7) |
Pancreatic cancer | 1 (1.7) |
Rhabdomyosarcoma | 1 (1.7) |
aMean (standard deviation) |



Narakas classification | Total 200 (100%) | Grade 1 72 (36%) | Grade 2 64 (32%) | Grade 3 50 (25%) | Grade 4 14 (7%) |
Complete recoverya | 107 (54) | 60 (83) | 40 (63) | 7 (14) | - |
Near complete functional recovery but partial deformitya | 22 (11) | 5 (7) | 10 (16) | 6 (12) | 1 (7) |
Partial recovery with gross functional defect and deformity | 31 (16) | 7 (10) | 13 (20) | 10 (20) | 1 (7) |
No significant improvement | 40 (20) | - | 1 (1.5) | 27 (54) | 12 (86) |
aSatisfactory recovery bGrade 1, C5, 6, 7 improvement; Grade 2, C5, 6, 7 improvement; Grade 3, panpalsy C5, 6, 7, 8, 9, Grade 4, panpalsy with Hornon’s syndrome. |
Narakas classification | Total 200 (100%) | Grade-1 72 (36%) | Grade-2 64 (32%) | Grade-3 50 (25%) | Grade-4 14 (7%) |
Complete recoverya | 107 (54) | 60 (83) | 40 (63) | 7 (14) | - |
Near complete functional recovery but partial deformitya | 22 (11) | 5 (7) | 10 (16) | 6 (12) | 1 (7) |
Partial recovery with gross functional defect and deformity | 31 (16) | 7 (10) | 13 (20) | 10 (20) | 1 (7) |
No significant improvement | 40 (20) | - | 1 (1.5) | 27 (54) | 12 (86) |
aSatisfactory recovery bGrade 1, C5, 6, 7 improvement; Grade 2, C5, 6, 7 improvement; Grade 3, panpalsy C5, 6, 7,8,9, Grade 4, panpalsy with Hornon’s syndrome. |
Variables in probe trial day | Groups | ||||
NC | SC | ColC | Pre-SwE Exp | Post-SwE Exp | |
Target crossings | 8.0 (0.3) | 7.3 (0.3) | 1.7 (0.2)a | 6.0 (0.3)a | 5.8 (0.4)a |
Time spent in target | 18.0 (0.4) | 16.2 (0.7) | 5.8 (0.8)a | 15.3 (0.7)a | 15.2 (0.9)a |
NC indicates normal control; SC, Sham control; ColC, colchicine control; SwE, swimming exercise exposure. aP <0.01. |
Pain level | Number (%) | P | ||
Pre | Post 1 | Post 2 | ||
Mean (SD)a pain score | 4.7 (1.9) | 2.7 (1.6) | 0.8 (1.1) | <0.001 |
Pain categories | ||||
No pain (0) | - | 1 (1.7) | 31 (51.7) | <0.001 |
Mild pain (1-3) | 15 (25.0) | 43 (70.0) | 27 (45.0) | |
Moderete pain (4-6) | 37 (61.7) | 15 (25.0) | 2 (3.3) | |
Severe pain (7-10) | 8 (13.3) | 2 (3.3) | - | |
aPain scores according to the visual analogue scale ranging from 0 to 10; SD indicates standard deviation |
Surgeries | Number (%) | Satisfactory outcomes n (%) |
Primary surgery (n=24) |
|
|
Upper plexus | 6 (25) | 5 (83) |
Pan-palsy | 18 (75) | 6 (33) |
All | 24 (100) | 11 (46) |
Secondary Surgery (n=26) |
|
|
Shoulder deformity | 15 (58) | 13 (87) |
Wrist and forearm deformity | 11 (42) | 6 (54) |
All | 26 (100) | 19 (73) |
Primary and secondary surgery | 50 (100) | 30 (60) |
Mallet score 14 to 25 or Raimondi score 2-3 or Medical Research grading >3 to 5. |
Narakas classification | Total 200 (100%) | Grade-1 72 (36%) | Grade-2 64 (32%) | Grade-3 50 (25%) | Grade-4 14 (7%) |
Complete recoverya | 107 (54) | 60 (83) | 40 (63) | 7 (14) | - |
Near complete functional recovery but partial deformitya | 22 (11) | 5 (7) | 10 (16) | 6 (12) | 1 (7) |
Partial recovery with gross functional defect and deformity | 31 (16) | 7 (10) | 13 (20) | 10 (20) | 1 (7) |
No significant improvement | 40 (20) | - | 1 (1.5) | 27 (54) | 12 (86) |
aSatisfactory recovery bGrade 1, C5, 6, 7 improvement; Grade 2, C5, 6, 7 improvement; Grade 3, panpalsy C5, 6, 7,8,9, Grade 4, panpalsy with Hornon’s syndrome. |
Trials | Groups | ||||
NC | SC | ColC | Pre-SwE Exp | Post-SwE Exp | |
1 | 20.8 (0.6) | 22.1 (1.8) | 41.1 (1.3)b | 31.9 (1.9)b | 32.9 (1.8)a, b |
2 | 10.9 (0.6) | 14.9 (1.7) | 37.4 (1.1)b | 24.9 (2.0)b | 26.8 (2.5)b |
3 | 8.4 (0.5) | 9.9 (2.0) | 32.8 (1.2)b | 22.0 (1.4)b | 21.0 (1.4)b |
4 | 7.8 (0.5) | 10.4 (1.3) | 27.6(1.1)b | 12.8 (1.2)b | 13.0 (1.4)b |
Savings (%)c | 47.7 (3.0) | 33.0 (3.0) | 10.0 (0.9)b | 23.6 (2.7)b | 18.9 (5.3)b |
NC indicates normal control; SC, Sham control; ColC, colchicine control; SwE, swimming exercise exposure. aP <0.05; bP <0.01. cThe difference in latency scores between trials 1 and 2, expressed as the percentage of savings increased from trial 1 to trial 2 |


This study is based on formalin-fixed paraffin-embedded (FFPE) specimen blocks randomly selected from two institutions with similar competency in Bangladesh: the Department of Pathology at Bangladesh Medical University, Dhaka, and the Care Investigation Histopathology and Cytopathology Laboratory in Chattogram, from November 2021 to October 2022. A simple random sampling of specimens was conducted using the sampling frame maintained by the laboratories' registry.
Isolation of genomic DNA
Multiple sections (4-8 sections) each measuring 2-3 µm in thickness were taken from the selected FFPE blocks using a semi-automatic microtome. These sections were used as starting material for DNA isolation. Isolation of genomic DNA from the sections was done according to the manufacturer’s protocol of GeneJET FFPE DNA Purification Kit (Thermo Scientific, USA) [22]. After isolation, the DNA were preserved at -20°C for further analysis.
Polymerise chain reaction (PCR) for p53 codon 72 region
Nested enrichment PCR and subsequent restriction enzyme digestion were done for the detection of p53 c72 SNPs. The PCR primers used in this experiment were previously described [23, 24]. For the first round PCR, the primers (IDT, Singapore) F1: 5’- GCTCTTTTCACCCATCTACAG - 3’ and R1: 5’- TGAAGTCTCATGGAAGCCAGC - 3’ were used along with 100ng DNA from FFPE block. For the second round PCR, F2: 5’ - TCCCCCTTGCCGTCCCAA - 3’ and R2: 5’ - CGTGCAAGTCACAGACTT - 3’ primers (IDT, Singapore) were used along with 2µL of 10X diluted PCR product of first round PCR. In both first and second round PCR reactions, the reaction mixture contained 1X GoTaq® Flexi reaction buffer (Promega, USA), 2mM MgCl2 (Promega, USA) 0.1mM of each dNTPs (Sigma, USA), 1U GoTaq® Flexi DNA Polymerase (Promega, USA), and Nuclease free water (Invitrogen, USA) was used to make the reaction volume upto 25µL. The PCR thermal cycler (Qantarus, UK) profile included Initial denaturation at 95°C for 5 minutes, 35 (first round) and 30 (second round) cycles of denaturation at 95°C for 30 seconds, annealing at 58.5°C for 30 seconds, and elongation at 72°C for 1 minute.
Restriction fragment length polymorphism (RFLP) for p53 codon 72 polymorphisms
RFLP for p53 codon 72 polymorphism detection was done by digesting 10µL of second round PCR products by 2U of Bsh1236I restriction enzyme which contains the restriction site 5’-CGCG-3’ (BstUI, Thermo Scientific, USA) in 0.67X Buffer R (Thermo Scientific, USA) and nuclease free water (Invitrogen, USA) was used to make reaction volume upto 25µL. The temperature profile for restriction digestion consisted of incubation at 37°C for 4 hours and 30 minutes, followed by inactivation at 65°C for 20 minutes. All the restriction digestion reactions were carried out in a heating block (WiseCube, Daihan Scientific, Korea).
Agarose gel electrophoresis and detection of p53 codon 72 polymorphisms
2% w/v low electroendosmosis (Low EEO) agarose (Promega, USA) was completely dissolved in 1X TAE buffer (pH 7.9) by using a high-temperature quick-dissolve technique with a microwave oven. Five microliters of Safe Dye (AdBio Solutions, South Korea) were added while preparing the gel for visualisation of DNA bands in a UV Gel Documentation System (Vilber, France). In each agarose gel preparation, a thickness of 3-4 mm was maintained for clearer visualisation. Horizontal submarine electrophoresis was done in either Biometra Compact XS Electrophoresis Apparatus (Analytic Jena, Germany) or Hoefer HE 33 Mini Electrophoresis Unit (Thermo Fisher Scientific, USA) with the corresponding power supply kits. 1X TAE (pH 7.9) was used as running buffer during electrophoresis. 10 μL of PCR or PCR-RFLP products were loaded in the wells along with 2 μL 100 bp DNA size marker (Promega, USA) in the left-most well. Electrophoresis was carried out for the required durations with constant voltage (55V) control (Figure 1).

A Chi-squared test was performed to determine whether there was any significant deviation from the expected distribution of p53 codon 72 genotypes among the IDC samples, considering variables such as tumour size, lymph node metastasis, and hormonal receptor expression status (ER, PR, and HER-2). To find the most influential p53 codon 72 polymorphic variant upon pathological status and ER, PR, HER-2 expression status, by applying univariate and multivariate logistic regression, which are usually done in single-nucleotide polymorphism (SNP) association studies to calculate odds ratios and their 95% confidence intervals. In the univariate analysis, the SNP counts of CC homozygotes versus GC+GG genotypes (i.e. reflecting proline versus arginine alleles) were compared according to various parameters. Multivariate logistic regression analysis was conducted to adjust the results according to patients’ age, tumour grade and tumour stages. P<0.05 was considered statistically significant. All data were analysed with SPSS Software v25.
Group | Didactic posttest marks (%) | Flipped posttest marks (%) | Difference in marks (mean improvement) | P |
<50% | 63.2 (9.4) | 82.2 (10.8) | 19.0 | <0.001 |
≥50% | 72.4 (14.9) | 84.2 ( 10.3) | 11.8 | <0.001 |
Data presented as mean (standard deviation) |



Variables | Number (%) |
Age (Years) | |
21–40 | 63 (31.0) |
41–60 | 99 (48.8) |
61–94 | 41 (20.2) |
Tumor grade | |
Grade I | 21 (10.3) |
Grade II | 161 (79.3) |
Grade III | 21 (10.3) |
Tumor staging | |
T1 (<2 cm) | 8 (3.9) |
T2 (2–5 cm) | 167 (82.3) |
T3 (>5 cm) | 28 (13.8) |
Axillary lymph node status | |
Sinus histiocytosis | 67 (33.0) |
Metastatic ductal carcinoma | 98 (48.3) |
Follicular hyperplasia | 38 (18.7) |
Number of lymph node involved (n=98) | |
N1 stage (1–3 lymph nodes involved) | 63 (64.3) |
N2 stage (4–9 lymph nodes involved) | 28 (28.6) |
N3 stage (>10 lymph node involved) | 7 (7.1) |
Estrogen expression | |
Positive | 133 (65.5) |
Negative | 70 (34.5) |
Progesterone expression | |
Positive | 63 (31.0) |
Negative | 140 (69.0) |
HER2 expression | |
Positive | 63 (31.0) |
Negative | 140 (69.0) |
p53 codon 72 SNP | |
CC genotype | 42 (20.7) |
GC genotype | 119 (58.6) |
GG genotype | 42 (20.7) |

The GC heterozygote variant was the most common among the study patients, accounting for 58.6%. Both CC and GG homozygous variants were found in equal numbers; that is, 20.7% of patients had the CC homozygote variant, and 20.7% had the GG homozygote variant. It was suggested that the GC genotype might be associated with the disease conditions in this study population.
Variables | Pro/Pro (CC) (n=42) | Arg/Pro (GC) (n=119) | P |
Tumor size (cm) | |||
<5 | 21 | 98 | <0.001 |
≥5 | 21 | 21 |
|
Axillary lymph node metastasis | |||
No metastasis | 35 | 49 | 0.01 |
Metastatic ductal carcinoma | 7 | 70 |
|
Expression of estrogen receptor | |||
Negative | 14 | 49 | 0.46 |
Positive | 28 | 70 |
|
Expression of progesterone receptor | |||
Negative | 21 | 84 | 0.02 |
Positive | 21 | 35 |
|
Expression of human epidermal growth factor receptor 2 | |||
Negative | 28 | 91 | 0.23 |
Positive | 14 | 28 |
|
Variables | Genotypes | Odds ratio (95% confidence interval) | Adjustedaodds ratio (95% confidence interval) | |
Pro/Pro (CC) | Arg/Pro +Arg/Arg (GC+GG) | |||
Axillary lymph node metastasis | ||||
No | 35 | 70 | 6.5 (2.7–15.5)b | 21.8 (7.0–67.9)b |
Yes | 7 | 91 |
|
|
Estrogen Receptor expression status | ||||
Negative | 14 | 56 | 0.9 (0.5–1.9) | 0.6 (0.3–1.4) |
Positive | 28 | 105 |
|
|
Progesterone Receptor expression status | ||||
Negative | 21 | 119 | 0.4 (0.2–0.7)b | 0.2 (0.1–0.6)b |
Positive | 21 | 42 |
|
|
HER2 expressions status | ||||
Negative | 28 | 112 | 0.9 (0.4–1.2) | 0.3 (0.1–0.9)b |
Positive | 14 | 49 |
|
|
aMultivariate logistic regression was done for adjustment of age, tumour grade and tumour staging; bStatistically significant at 5% or smaller label |
Our findings showed that Bangladeshi women aged 41–60 years exhibited the highest IDC prevalence. This observation aligns with data from the Polish population, which demonstrated a linear increase in breast cancer incidence among women aged 40–59, followed by a plateau in those aged 70 and above [27]. Similarly, studies conducted by Acharya et al. and Pathak et al. reported the 41–60-year age group as the most commonly affected by breast cancer [28, 29]. This trend may be associated with hormonal fluctuations during the peri- and postmenopausal periods, which are known to influence breast cancer risk [27].
Numerous studies have assessed the role of the Arg72Pro polymorphism in cancer risk, but findings have been inconsistent across populations [26]. In our study, the heterozygous Arg/Pro (GC genotype) was the most common, observed in 58.6% of patients. This contrasts with a recent study from Brazil involving 96 individuals, which reported a high prevalence of the Arginine allele (68%), whereas we found equal frequencies of the Arginine and Proline alleles [30]. Similar results were observed concerning the involvement of the heterozygous Arg/Pro (GC genotype) variant and an increased risk of breast cancer in the North Indian population [31]. Another study reported that Proline homozygosity (CC genotype) at p53 codon 72 is associated with decreased breast cancer risk in Arabian women [32]. .
The current study’s findings suggest that the presence of Arg allele (GC+GG genotypes) is significantly associated with an increased risk of axillary lymph node metastasis. Some studies have shown that the mechanism of breast carcinogenesis and its progression is associated with alterations in the expressions of ER, PR, and HER-2 [33]. Notably, a significant association was observed between the Arg-containing genotypes and PR-negative tumours, suggesting a possible link between the Arg allele and hormone-independent tumour biology. This result is consistent with findings from studies in Asian populations, where the Arg allele was more frequently associated with hormone receptor–negative tumours, which tend to be more aggressive and less responsive to endocrine therapy [33, 34].
In the case of HER-2 expression, the Arg/Pro+Arg/Arg alleles (GC+GG genotypes) were initially not associated in the univariate logistic regression analysis. However, after adjusting for patients’ age, tumour grade and tumour stages, a significant association was found between GC+GG genotypes and HER-2-negative tumours. This observation is novel in our study as previous studies found no significant association [35, 36], and requires further investigation. No significant association was found between p53 codon 72 polymorphism and ER status, which contrasts with some previous reports suggesting a genotype-specific interaction with ER expression [37]. This discrepancy may be due to population-specific genetic backgrounds, sample size, or environmental co-exposures such as heavy metals, which are particularly relevant in the Bangladeshi context. Thus, discrepancies between our findings and those of other studies may reflect population-specific genetic and environmental interactions.
Our findings suggest that patients who present a heterozygous genotype and/or Arginine allele at codon 72 of the p53 gene may have a susceptibility towards breast cancer along with axillary lymph node metastasis. This could serve as a potential biomarker for prognosis. The significant association of this genotype with PR-negative and HER-2-negative tumours highlight the potential clinical relevance of this SNP in predicting breast cancer diagnosis and guiding personalised treatment strategies and outcomes. Further investigations in larger and more diverse cohorts are needed to validate our findings.
Limitation
Some FFPE archival samples were excluded due to poor performance in the DNA isolation procedure or the unavailability of all required data, including clinical data and histology reports. Due to the limited funds, the researchers had to restrict the number of cases analysed; as a result, more cases from around Bangladesh could not be included. Ultimately, the DNA sequencing of the 203 specimens in this research work could be more informative.
Conclusion
This study found that p53 codon 72 polymorphism is significantly associated with histological and immunohistochemical features of IDC. However, for further association studies with this polymorphism and confirmation of clinical implication, the following recommendations can be considered: Case-control studies involving newly diagnosed, unilateral and bilateral breast cancer patients with age-matched healthy controls could provide more reliable information. Prognostic studies of various treatment regimens could further substantiate the evidence.