Literature DB >> 30305801

Prognostic significance of p16 & p53 immunohistochemical expression in triple negative breast cancer.

Atif Ali Hashmi1, Samreen Naz1, Shumaila Kanwal Hashmi2, Zubaida Fida Hussain1, Muhammad Irfan1, Erum Yousuf Khan1, Naveen Faridi1, Amir Khan3, Muhammad Muzzammil Edhi4.   

Abstract

Background: p16 and p53 genes are frequently mutated in triple negative breast cancer & prognostic value of these mutations have been shown; however, their role as immunohistochemical overexpression has not been fully validated. Therefore we aimed to evaluate the association of p16 and p53 overexpression in triple negative breast cancer with various prognostic parameters.
Methods: Total 150 cases of triple negative breast cancers were selected from records of pathology department archives that underwent surgeries at Liaquat National hospital, Karachi from January 2008 till December 2013. ER, PR and Her2neu immunohistochemistry were re-performed to confirm triple negative status. p16 & p53 immunohistochemistry was performed on all cases and association with various clinicopathologic parameters was determined.
Results: Mean age of the patients involved in the study was 48.9 years. Most of the patients presented at stage T2 with a high mean ki67 index i.e. 46.9%. 42.7% of cases had nodal metastasis. Although 84% cases were of invasive ductal carcinoma; however a significant proportion of cases were of metaplastic histology (9.3%). Fifty-one percent (76 cases) of cases showed positive p53 expression while 49% (74 cases) were negative. Higher percentage of p53 expression was found to correlate with higher T stage, high ki67 index and higher nodal stage. On the other hand, strong intensity of p53 expression was positively correlated with higher tumor grade and ki67 index. Seventy-one percent (98 cases) of cases showed positive p16 expression, whereas 24.8% (34 cases) were negative and 3.6% (5 cases) showed focal positive p16 expression. However, no significant association was found between p16 expression and various clinical and pathologic parameters. Similarly, no significant association of either p16 or p53 over-expression was noted with recurrence status of patients.
Conclusion: On the basis of significant association of p53 over-expression with worse prognostic factors in triple negative breast cancer, therefore we suggest that more large scale studies are needed to validate this finding in loco-regional population. Moreover, high expression of p16 in triple negative breast cancer suggests a potential role of this biomarker in triple negative breast cancer pathogenesis which should be investigated with molecular based research in our population.

Entities:  

Keywords:  Triple negative breast cancer; p16; p53

Year:  2018        PMID: 30305801      PMCID: PMC6171321          DOI: 10.1186/s12907-018-0077-0

Source DB:  PubMed          Journal:  BMC Clin Pathol        ISSN: 1472-6890


Background

Triple negative breast cancers (TNBC) comprise approximately 20% of breast cancers worldwide while a higher frequency of TNBC were noted in south –Asian population [1, 2]. American Society of Clinical Oncology (ASCO)/ College of American Pathologists (CAP) defines TNBC as those breast cancers which shows < 1% estrogen receptor (ER)/ progesterone receptor (PR) expression by immunohistochemistry (IHC) and either 0–1+ Her2neu by IHC or 2+ with negative fluorescent insitu hybridization (FISH) [3-5]. TNBC are typically high grade and associated with worse prognostic and predictive factors and are therefore focus of current clinical research [6, 7]. Moreover TNBC are not a single clinical entity and various subtypes of TNBC have been defined based on molecular studies including basal like subtypes, immunomodulatory, mesenchymal, mesenchymal stem-like, luminal androgen subtypes, claudin low and interferon rich subtypes [8, 9]. Basal like subtype of TNBC is a molecularly defined subtype of TNBC with high expression of basal cytokeratins (CK5/6) and epidermal growth factor receptor (EGFR) and it correlates with IHC expression of CK5/6, [10, 11]. p16 and p53 are proteins which are involved in two major cell cycle control pathways frequently targeted in human tumorigenesis. Virtually all human cancers show dysregulation of either p16 or p53 pathways [12-14]. Prognostic value of p16 and p53 mutations in breast cancer has been shown in various studies [15, 16] however their role as IHC overexpression in TNBC has not been fully understood. Therefore, we aimed to evaluate the association of p16 and p53 overexpression in TNBC with various prognostic parameters like tumor stage, tumor grade, nodal metastasis and lymphovascular invasion.

Methods

The study included 150 cases of TNBC that had their primary resection at Liaquat National hospital from January 2008 till December 2013 over duration of 6 years. Type of surgeries included wide local excisions and simple mastectomies with sentinel lymph node dissection or wide local excision with axillary dissection and modified radical mastectomies. The approval of the study was taken from institutional research and ethical review committee. At the time of surgery, an informed written consent was taken from each patient. Clinical records of all patients were evaluated and histopathological findings like tumor type, grade and stage were recorded after reviewing H & E slides. Moreover, representative sections of all tumors were re-cut for H & E and IHC staining. ER, PR, Her2neu, Ki67, CK5/6, p16 and p53 IHC were performed on representative sections. ER, PR, Her2neu and Ki67 IHC were performed using DAKO antibodies as under, with EnVision™ FLEX, high pH DAKO kit according to manufacturer’s protocol. FLEX Monoclonal Rabbit Anti-human Estrogen Receptor alpha, Clone EP1. FLEX Monoclonal Mouse Anti-human Progesterone receptor clone PgR 636 Polyclonal Rabbit Anti-human c-erbB-2 oncoprotein FLEX Monoclonal mouse Anti-human Ki67 Antigen clone MIB-1 For ER and PR IHC, nuclear staining in more than 1% cancer cells was taken as positive expression [4]. For, her2neu IHC, staining was scored as per CAP guidelines into 1+ (weak), 2+ (intermediate) and 3+ (strong) expression. Cases with intermediate (2+) expression were subjected to Fluorescent insitu hybridization (FISH) testing and results were reported as amplified or non-amplified as per CAP guidelines [5]. Ki67 IHC was interpreted on the basis of average percentage of positively stained cancer cells. Only nuclear expression was taken as positive. At-least 1000 cancer cells were counted in five different areas of tumor and average percentage of positively stained cancer cells were recorded and then categorized. CK5/6 IHC was performed by using FLEX Monoclonal Mouse Anti-human Cytokeratin 5/6, clone D5/16 B4 by DAKO envision method according to manufacturers protocol. Moderate to strong cytoplasmic and membranous staining in more than 10% cells was taken as positive expression. Tumors with positive CK5/6 were labeled as basal phenotype and those with negative CK5/6 expression were called as non-basal phenotype. p53 IHC was performed using DAKO EnVision method using DAKO anti-human p53 protein, clone DO-7 according to manufacturers protocol. Nuclear staining for p53 was both quantitatively and qualitatively evaluated. Intensity of staining was categorized into no staining (0), weak (1+), intermediate (2+), strong (3+) while percentage of positively stained cells were measured as continuous variable. Intermediate to strong staining in > 10% cancer cells was considered positive while no staining or weak staining in < 10% cancer cells was taken as negative (Fig. 1). Moreover, p53 immunostaining was also categorized according to percentage of staining cells into different groups.
Fig. 1

p53 & p16 expression in triple negative breast cancer

p53 & p16 expression in triple negative breast cancer p16 antibody was purchased from Roche Ventana and IHC was performed using antibody CINtec R p16INK4a, clone E6H4™ according to manufacturers protocol. Tonsils and carcinoma cervix was taken as positive controls. Both nuclear and cytoplasmic staining was evaluated. Intensity of staining was categorized into no staining (0), weak (1+), intermediate (2+), strong (3+) while percentage of positively stained cells were measured as continuous variable. Intermediate to strong staining in > 10% cancer cells was considered positive while weak to intermediate staining in < 10% cancer cells was taken as focal positive (Fig. 1). Similarly, p16 immunostaining was also categorized according to percentage of staining cells into different groups. Patient’s clinical records were reviewed to evaluated recurrence and survival status. Time from surgery till death due to disease, local recurrence, distant metastasis or last follow was defined as disease free survival. Statistical package for social sciences (SPSS 21) was used for data entry and analysis. We calculated mean and standard deviation for quantitative variables while, frequency and percentage were evaluated for qualitative variables. Chi-square was applied to determine association between the variables. Student t test or Mann witney test were applied to compare difference in means among groups where necessary. P-value of ≤0.05 was taken as significant. Survival curves were plotted using Kaplan- Meier method and the significance of difference between survival curves were evaluated using log-rank ratio. A sample size of 150 achieves 79% power to detect an effect size (W) of 0.2994 using a 6 degrees of freedom Chi-Square Test with a significance level (alpha) of 0.05000.

Results

Mean age of the patients involved in the study was 48.9 years and most common age group was 31–50 years. Most of the patients presented at stage T2 with a high mean ki67 index i.e. 46.9%. 42.7% of cases had nodal metastasis. Although 84% cases were of conventional invasive ductal carcinoma, NST; however a significant proportion of cases were of metaplastic histology (9.3%). Majority cases were of high grade (86.7% grade III). Most tumors show lymphocytic infiltration and necrosis. Most of the tumors lack insitu component (61%) and only 10% cases were of basal phenotype (CK5/6 positive). Local recurrence or late distant metastasis was noted in 17.8% of cases (Table 1).
Table 1

Clinicopathologic characteristics of triple negative breast cancer

n (%)
Age(years)°48.85 ± 11.49
Age groups
  ≤ 30 years5(3.3)
 31–50 years84(56)
  > 50 years61(40.7)
 Tumor size(Unit)°4.01 ± 1.99
Tumor stage/tumor size
 T17(4.7)
 T2116(77.3)
 T3/T427(18)
 Ki67 Index (%)46.89 ± 23.88
ki67 index groups
  ≤ 15%17(11.3)
 16–24%8(5.3)
 25–44%45(30)
  > 44%80(53.3)
Nodal Status
 Positive64(42.7)
 Negative86(57.3)
Nodal Stage
 No88(58.7)
 N130(20)
 N213(8.7)
 N319(12.7)
Histological Subtypes
 IDC127(84.7)
 Papillary6(4)
 Medullary1(0.7)
 Metaplastic14(9.3)
 Mixed2(1.3)
Tumor Grade
 Grade-I1(0.7)
 Grade-II19(12.7)
 Grade-III130(86.7)
Lymphocytic infiltration
 Absent15(10)
 Moderate110(73.3)
 Severe25(16.7)
Lymhovascular Invasion
 Present36(24)
 Absent114(76)
Dermal Lymphatic invasion
 Present10(6.7)
 Absent140(93.3)
Type of Surgery
 Modified radical mastectomy94(62.7)
 Simple mastectomy with sentinel lymph node dissection42(28)
 Wide local excision14(9.3)
Necrosis
 Absent21(14)
 Moderate90(60)
 Severe39(26)
Fibrosis
 Mild42(28)
 Moderate88(58.7)
 Severe20(13.3)
Insitu component
 Present58(38.7)
 Absent92(61.3)
Pagetoid Spread
 Present2(1.3)
 Absent148(98.7)
Perinodal extension
 Present30(20)
 Absent120(80)
Triple negative phenotype
 Basal16(10.7)
 Non-basal134(89.3)
Adjuvant chemotherapy (n = 101)
 Yes98(97)
 No3(3)
Adjuvant radiation(n = 101)
 Yes69(68.3)
 No32(31.7)
Recurrence(n = 101)
 Yes18(17.8)
 No83(82.2)

Mean ± SD

Clinicopathologic characteristics of triple negative breast cancer Mean ± SD Fifty-one percent (76 cases) of TNBC showed positive p53 expression while 49% (74 cases) were negative. Further categorization on the basis of percentage of p53 expression revealed; 36% (54 cases) showed high p53 expression (> 70%), 12% (18 cases) revealed 51–70% p53 expression, 12% (18 cases) showed 11–50% p53 expression and 40% (60 cases) showed either no p53 expression or weak expression in less than 10% tumor cells. 30.7% (46 cases) showed no p53 expression while 14% (21 cases), 17.3% (26 cases) and 38% (57 cases) revealed weak, intermediate and strong 53 expression respectively. Correlation of percentage of p53 expression with various clinicopathologic variables revealed significant associations (Table 2). High p53 expression was found to correlate with higher T stage, high ki67 index and higher nodal stage. Although not statistically significant, but higher p53 expression was also noted in medullary and metaplastic cancers (p-value 0.06). On the other hand, intensity of p53 expression was positively correlated with tumor grade and ki67 index; however, correlation with other parameters was not significant (Table 3).
Table 2

Association of percentage of p53 overexpression with various clinical & pathological parameters

n (%)P-Value
≤10% (n = 60)11–50% (n = 18)51–70% (n = 18)> 70% (n = 54)Total (n = 150)
Age groups
  ≤ 30 years2(3.3)0(0)0(0)3(5.6)5(3.3)0.217
 31–50 years34(56.7)7(38.9)8(44.4)35(64.8)84(56)
  > 50 years24(40)11(61.1)10(55.6)16(29.6)61(40.7)
Tumor stage/tumor size
 T1(≤2 cm)3(5)6(33.3)3(16.7)14(25.9)26(17.3)0.020
 T2(2.1–5.0 cm)36(60)6(33.3)10(55.6)27(50)79(52.7)
 T3(> 5.0 cm)21(35)6(33.3)5(27.8)13(24.1)45(30)
ki67 index groups
  ≤ 15%6(10)6(33.3)4(22.2)1(1.9)17(11.3)0.000
 16–24%2(3.3)2(11.1)3(16.7)1(1.9)8(5.3)
 25–44%19(31.7)6(33.3)7(38.9)13(24.1)45(30)
  > 44%33(55)4(22.2)4(22.2)39(72.2)80(53.3)
Nodal Status
 Positive30(50)5(27.8)10(55.6)19(35.2)64(42.7)0.144
 Negative30(50)13(72.2)8(44.4)35(64.8)86(57.3)
Nodal Stage
 No32(53.3)13(72.2)8(44.4)35(64.8)88(58.7)0.022
 N115(25)3(16.7)2(11.1)10(18.5)30(20)
 N23(5)1(5.6)7(38.9)2(3.7)13(8.7)
 N310(16.7)1(5.6)1(5.6)7(13)19(12.7)
Histological Subtypes
 IDC51(85)14(77.8)12(66.7)50(92.6)127(84.7)0.063
 Papillary1(1.7)2(11.1)2(11.1)1(1.9)6(4)
 Medullary0(0)0(0)1(5.6)0(0)1(0.7)
 metaplastic7(11.7)2(11.1)3(16.7)2(3.7)14(9.3)
 Mixed1(1.7)0(0)0(0)1(1.9)2(1.3)
Tumor Grade
 Grade-I1(1.7)0(0)0(0)0(0)1(0.7)0.118
 Grade-II6(10)6(33.3)1(5.6)6(11.1)19(12.7)
 Grade-III53(88.3)12(66.7)17(94.4)48(88.9)130(86.7)
Lymhovascular Invasion
 Present13(21.7)6(33.3)7(38.9)10(18.5)36(24)0.250
 Absent47(78.3)12(66.7)11(61.1)44(81.5)114(76)
Perinodal extension
 Present12(20)2(11.1)6(33.3)10(18.5)30(20)0.436
 Absent48(80)16(88.9)12(66.7)44(81.5)120(80)
Triple Negative phenotype
 Basal6(10)2(11.1)2(11.1)6(11.1)16(10.7)1.000
 Non Basal54(90)16(88.9)16(88.9)48(88.9)134(89.3)

Chi-Square test applied

P-value≤0.05 considered as significant

Table 3

Association of intensity of p53 overexpression with various clinical & pathological parameters

n (%)P-Value
Weak (n = 21)Intermediate (n = 26)Strong (n = 57)Negative (n = 46)Total (n = 150)
Age groups
  ≤ 30 years0 (0)0 (0)3 (5.3)2 (4.3)5 (3.3)0.347
 31–50 years8 (38.1)14 (53.8)34(59.6)28 (60.9)84 (56)
  > 50 years13 (61.9)12 (46.2)20 (35.1)16 (34.8)61 (40.7)
Tumor stage/tumor size
 T1 (≤2 cm)6 (28.6)5 (19.2)14 (24.6)1 (2.2)26 (17.3)0.023
 T2 (2.1–5.0 cm)9 (42.9)12 (46.2)29 (50.9)29 (63)79 (52.7)
 T3 (> 5.0 cm)6 (28.6)9 (34.6)14 (24.6)16 (34.8)45 (30)
ki67 index groups
  ≤ 15%5 (23.8)8 (30.8)1 (1.8)3 (6.5)17 (11.3)0.006
 16–24%1 (4.8)2 (7.7)3 (5.3)2 (4.3)8 (5.3)
 25–44%7 (33.3)7 (26.9)16 (28.1)15 (32.6)45 (30)
  > 44%8 (38.1)9 (34.6)37 (64.9)26 (56.5)80 (53.3)
Nodal Status
 Positive9 (42.9)13 (50)21 (36.8)21 (45.7)64 (42.7)0.675
 Negative12 (57.1)13 (50)36 (63.2)25 (54.3)86 (57.3)
Nodal Stage
 No12 (57.1)13 (50)36 (63.2)27 (58.7)88 (58.7)0.357
 N15 (23.8)7 (26.9)8 (14)10 (21.7)30 (20)
 N20 (0)5 (19.2)5 (8.8)3 (6.5)13 (8.7)
 N34 (19)1 (3.8)8 (14)6 (13)19 (12.7)
Histological Subtypes
 IDC17 (81)21 (80.8)50 (87.7)39 (84.8)127 (84.7)0.620
 Papillary1 (4.8)1 (3.8)3 (5.3)1 (2.2)6 (4)
 Medullary0 (0)1 (3.8)0 (0)0 (0)1 (0.7)
 metaplastic2 (9.5)3 (11.5)3 (5.3)6 (13)14 (9.3)
 Mixed1 (4.8)0 (0)1 (1.8)0 (0)2 (1.3)
Tumor Grade
 Grade-I1 (4.8)0 (0)0 (0)0 (0)1 (0.7)0.041
 Grade-II6 (28.6)4 (15.4)6 (10.5)3 (6.5)19 (12.7)
 Grade-III14 (66.7)22 (84.6)51 (89.6)43 (93.5)130 (86.7)
Lymhovascular Invasion
 Present7 (33.3)6 (23.1)15 (26.3)8 (17.4)36 (24)0.516
 Absent14 (66.7)20 (76.9)42 (73.7)38 (82.6)114 (76)
Perinodal extension
 Present5 (23.8)3 (11.5)15 (26.3)7 (15.2)30 (20)0.352
 Absent16 (76.2)23 (88.5)42 (73.7)39 (84.8)120 (80)
Triple Negative phenotype
 Basal3 (14.3)3 (11.5)5 (8.8)5 (10.9)16 (10.7)0.913
 Non Basal18 (85.7)23 (88.5)52 (91.2)41 (89.1)89.3)

Chi-Square test applied

P-value≤0.05 considered as significant

Association of percentage of p53 overexpression with various clinical & pathological parameters Chi-Square test applied P-value≤0.05 considered as significant Association of intensity of p53 overexpression with various clinical & pathological parameters Chi-Square test applied P-value≤0.05 considered as significant Seventy-one percent (98 cases) of TNBC showed positive p16 expression, whereas 24.8% (34 cases) were negative and 3.6% (5 cases) showed focal positive p16 expression. 24.8% (34 cases) revealed no p16 expression while 10.9% (15 cases), 28.5% (39 cases) and 35.8% (49 cases) showed weak, intermediate and strong p16 expression respectively. 28.5% (39 cases) revealed no expression or weak expression in < 10% cancer cells, 15.3% (21 cases) showed 11–50% expression, 13.1% (18 cases) showed 51–70% expression while 43.1% (59 cases) revealed > 70% p16 expression. However, no significant association was found between p16 expression and various clinical and pathologic parameters (Table 3). Similarly, no significant association of either p16 or p53 over-expression was noted with recurrence status of patients (Fig. 2).
Fig. 2

Kalpien-Meier for p53 & p16 overexpression (disease free survival)

Kalpien-Meier for p53 & p16 overexpression (disease free survival)

Discussion

In the present study, high expression of p16 was noted in TNBC cases while a moderately high expression of p53 was also notable. Moreover, p53 over-expression significantly correlated with key prognostic factors of breast cancer like T-stage, N-stage, tumor grade and ki67 index. Breast cancers are quite frequent in Southeast Asia and typically associated with adverse prognostic features [17-20]. Multiple studies investigated the prognostic significance of p53 mutations in breast cancer. Somatic mutations of p53 (TP53) are found in 20–30% of breast cancer [21], while germ-line mutations are relatively rare. Although, the predictive value of TP53 abnormalities is still unclear, somatic TP53 mutations signify worse prognosis independent of tumor size and nodal status [22]. A study involving 1800 patients of breast cancer revealed twice higher risk of death in tumors having TP53 mutations [23]. A similar association of p53 IHC expression with bad prognosis in breast cancer is debatable as cutoff values have not been defined and ASCO panel still don’t advice routine p53 IHC expression testing in breast cancer. However, as mutated p53 protein is not digested quickly inside tumor cells as compared to wild type protein, and therefore accumulates inside tumor cells. Hence, it is reasonable to consider high p53 expression as a surrogate marker of TP53 mutation. Moreover, as various biomarker testing have now been shifted to IHC, therefore with the help of results of various ongoing research, p53 IHC may get incorporated in future ASCO/CAP recommendations. Furthermore, gene expression analysis studies revealed that p53 and other tumor suppressor DNA repair gene mutation and aberrant expression in TNBC may have important clinical implications as they may effect sensitivity to platinum & other chemotherapeutic agents that are directly DNA damaging [24, 25]. Unlike p53, prognostic significance of p16 in TNBC is more controversial; however, high expression of p16 has been noted in various studies [26]. A study involving 60 TNBC cases revealed high ki67 index in p16 positive tumors regardless of p53 expression. As high ki67 index is a well defined prognostic factor in breast cancer [27], therefore they suggested a potential prognostic value of p16 over-expression in TNBC [28]; however, we didn’t find any such association. Basal type phenotype of TNBC is a worse subtype of breast cancer with high expression of CK5/6 (Table 4). Frequency of basal subtype of TNBC in different areas of world is different; we found a low proportion of basal subtype in our study (10%). A study involving 85% of TNBC revealed a high expression of p16 in basal subtype as compared to non-basal phenotype (80% vs. 50.8% respectively) [29]; however, no such association was noted in our study.
Table 4

Association of p16 overexpression with various clinical & pathological parameters

n (%)P-Value
Positive (n = 98)Negative (n = 34)Focal Positive (n = 5)Total (n = 137)
Age groups
  ≤ 30 years3(3.1)0(0)0(0)3(2.2)0.460
 31–50 years59(60.2)16(47.1)3(60)78(56.9)
  > 50 years36(36.7)18(52.9)2(40)56(40.9)
Tumor stage/tumor size
 T1(≤2 cm)16(16.3)7(20.6)1(20)24(17.5)0.964
 T2(2.1–5.0 cm)51(52)17(50)3(60)71(51.8)
 T3(> 5.0 cm)31(31.6)10(29.4)1(20)42(30.7)
ki67 index groups
  ≤ 15%10(10.2)5(14.7)2(40)17(12.4)0.345
 16–24%5(5.1)3(8.8)0(0)8(5.8)
 25–44%29(29.6)11(32.4)2(40)42(30.7)
  > 44%54(55.1)15(44.1)1(20)70(51.1)
Nodal Status
 Positive42(42.9)15(44.1)2(40)59(43.1)1.000
 Negative56(57.1)19(55.9)3(60)78(56.9)
Nodal Stage
 No58(59.2)19(55.9)3(60)80(58.4)0.907
 N117(17.3)8(23.5)2(40)27(19.7)
 N29(9.2)3(8.8)0(0)12(8.8)
 N314(14.3)4(11.8)0(0)18(13.1)
Histological Subtypes
 IDC83(84.7)28(82.4)5(100)116(84.7)0.633
 Papillary5(5.1)0(0)0(0)5(3.6)
 Medullary1(1)0(0)0(0)1(0.7)
 metaplastic8(8.2)5(14.7)0(0)13(9.5)
 Mixed1(1)1(2.9)0(0)2(1.5)
Tumor Grade
 Grade-I0(0)1(2.9)0(0)1(0.7)0.165
 Grade-II11(11.2)7(20.6)0(0)18(13.1)
 Grade-III87(88.8)26(76.5)5(100)118(86.1)
Lymhovascular Invasion
 Present25(25.5)6(17.6)1(20)32(23.4)0.788
 Absent73(74.5)28(82.4)4(80)105(76.6)
Perinodal extension
 Present19(19.4)9(26.5)0(0)28(20.4)0.425
 Absent79(80.6)25(73.5)5(100)109(79.6)
Triple Negative phenotype
 Basal10(10.2)3(8.8)1(20)14(10.2)0.532
 Non Basal88(89.8)31(91.2)4(80)123(89.8)

Chi-Square test applied

P-Value≤0.05, considerd as significant

Association of p16 overexpression with various clinical & pathological parameters Chi-Square test applied P-Value≤0.05, considerd as significant One of the limitations of our study was that molecular testing of p16 & p53 was not performed, therefore we suggest molecular testing of p16 & p53 in TNBC of our population to establish mutation status and its correlation with IHC over-expression of these biomarkers. Moreover, we didn’t find any significant correlation of recurrence status of TNBC with p53 &p16 over-expression; however it can’t be concluded that there is no correlation of p53 expression with recurrence status, as other important factors determining recurrence like margin status of tumors was not taken into account.

Conclusion

On the basis of significant association of p53 IHC over-expression with worse prognostic factors in TNBC, therefore we suggest that more large scale studies are needed to validate this finding in loco-regional population. Moreover, high expression of p16 in TNBC suggests a potential role of this biomarker in TNBC pathogenesis which should be investigated with molecular based research in our population.
  28 in total

1.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

Authors:  Brian D Lehmann; Joshua A Bauer; Xi Chen; Melinda E Sanders; A Bapsi Chakravarthy; Yu Shyr; Jennifer A Pietenpol
Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

2.  Phenotypic evaluation of the basal-like subtype of invasive breast carcinoma.

Authors:  Chad A Livasy; Gamze Karaca; Rita Nanda; Maria S Tretiakova; Olufunmilayo I Olopade; Dominic T Moore; Charles M Perou
Journal:  Mod Pathol       Date:  2006-02       Impact factor: 7.842

3.  TP53 status for prediction of sensitivity to taxane versus non-taxane neoadjuvant chemotherapy in breast cancer (EORTC 10994/BIG 1-00): a randomised phase 3 trial.

Authors:  Hervé Bonnefoi; Martine Piccart; Jan Bogaerts; Louis Mauriac; Pierre Fumoleau; Etienne Brain; Thierry Petit; Philippe Rouanet; Jacek Jassem; Emmanuel Blot; Khalil Zaman; Tanja Cufer; Alain Lortholary; Elisabet Lidbrink; Sylvie André; Saskia Litière; Lissandra Dal Lago; Véronique Becette; David A Cameron; Jonas Bergh; Richard Iggo
Journal:  Lancet Oncol       Date:  2011-05-11       Impact factor: 41.316

Review 4.  TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes.

Authors:  A Petitjean; M I W Achatz; A L Borresen-Dale; P Hainaut; M Olivier
Journal:  Oncogene       Date:  2007-04-02       Impact factor: 9.867

5.  INK4a gene expression and methylation in primary breast cancer: overexpression of p16INK4a messenger RNA is a marker of poor prognosis.

Authors:  R Hui; R D Macmillan; F S Kenny; E A Musgrove; R W Blamey; R I Nicholson; J F Robertson; R L Sutherland
Journal:  Clin Cancer Res       Date:  2000-07       Impact factor: 12.531

6.  p16INK4a modulates p53 in primary human mammary epithelial cells.

Authors:  Jianmin Zhang; Curtis R Pickering; Charles R Holst; Mona L Gauthier; Thea D Tlsty
Journal:  Cancer Res       Date:  2006-11-01       Impact factor: 12.701

7.  Increased expression of geminin stimulates the growth of mammary epithelial cells and is a frequent event in human tumors.

Authors:  Micaela Montanari; Alma Boninsegna; Beatrice Faraglia; Claudio Coco; Antonio Giordano; Achille Cittadini; Alessandro Sgambato
Journal:  J Cell Physiol       Date:  2005-01       Impact factor: 6.384

8.  Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma.

Authors:  Torsten O Nielsen; Forrest D Hsu; Kristin Jensen; Maggie Cheang; Gamze Karaca; Zhiyuan Hu; Tina Hernandez-Boussard; Chad Livasy; Dave Cowan; Lynn Dressler; Lars A Akslen; Joseph Ragaz; Allen M Gown; C Blake Gilks; Matt van de Rijn; Charles M Perou
Journal:  Clin Cancer Res       Date:  2004-08-15       Impact factor: 12.531

9.  Molecular subtypes of breast cancer in South Asian population by immunohistochemical profile and Her2neu gene amplification by FISH technique: association with other clinicopathologic parameters.

Authors:  Atif Ali Hashmi; Muhammad Muzzammil Edhi; Hanna Naqvi; Amna Khurshid; Naveen Faridi
Journal:  Breast J       Date:  2014-09-13       Impact factor: 2.431

10.  Clinicopathologic features of triple negative breast cancers: an experience from Pakistan.

Authors:  Atif Ali Hashmi; Muhammad Muzzammil Edhi; Hanna Naqvi; Naveen Faridi; Amna Khurshid; Mehmood Khan
Journal:  Diagn Pathol       Date:  2014-02-28       Impact factor: 2.644

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  12 in total

1.  Metaplastic Breast Carcinoma: Clinicopathological Parameters and Prognostic Profile.

Authors:  Saroona Haroon; Shamail Zia; Umme Aiman Shirazi; Omer Ahmed; Ishaq Azeem Asghar; Muhammad Asad Diwan; Anoshia Afzal; Muhammad Irfan; Syed Jawwad Ali; Atif A Hashmi
Journal:  Cureus       Date:  2021-04-07

2.  A prospective phase II clinical trial identifying the optimal regimen for carboplatin plus standard backbone of anthracycline and taxane-based chemotherapy in triple negative breast cancer.

Authors:  Caroline Hamm; Bre-Anne Fifield; Amin Kay; Swati Kulkarni; Rasna Gupta; John Mathews; Rosa-Maria Ferraiuolo; Huda Al-Wahsh; Emily Mailloux; Abdulkadir Hussein; Lisa A Porter
Journal:  Med Oncol       Date:  2022-02-01       Impact factor: 3.064

3.  Positive correlation between programmed death ligand-1 and p53 in triple-negative breast cancer.

Authors:  Yan Zeng; Cheng-Long Wang; Jie Xian; Qian Ye; Xue Qin; Yi-Wen Tan; You-De Cao
Journal:  Onco Targets Ther       Date:  2019-09-03       Impact factor: 4.147

4.  Encapsulated Papillary Carcinoma of Breast: Clinicopathological Features and Prognostic Parameters.

Authors:  Atif A Hashmi; Syeda N Iftikhar; Shahzeb Munawar; Arham Shah; Muhammad Irfan; Javaria Ali
Journal:  Cureus       Date:  2020-10-31

5.  Extensive analysis of the molecular biomarkers excision repair cross complementing 1, ribonucleotide reductase M1, β-tubulin III, thymidylate synthetase, and topoisomerase IIα in breast cancer: Association with clinicopathological characteristics.

Authors:  Juncheng Li; Peng Sun; Tao Huang; Shengdong He; Lingfan Li; Gang Xue
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

6.  Investigation of p16 protein expression and its association with histopathologic parameters in breast cancer.

Authors:  Siamak Naji-Haddadi; Daniel Elieh-Ali-Komi; Saeid Aghayan; Rahim Asghari; Javad Rasouli
Journal:  Mol Biol Res Commun       Date:  2021-12

7.  p53, p21, and cyclin d1 protein expression patterns in patients with breast cancer.

Authors:  Marwa Mohammed Ali Jassim; Khetam Habeeb Rasool; Majid Mohammed Mahmood
Journal:  Vet World       Date:  2021-10-31

8.  Expression of p53 and p16 in Carcinoma Breast Tissue: Depicts Prognostic Significance or Coincidence.

Authors:  Manjit K Rana; Amrit Pal S Rana; Utkarshni Khera
Journal:  Cureus       Date:  2021-11-09

9.  Triple-Negative Metaplastic Breast Carcinoma: Association of Epidermal Growth Factor Receptor Expression With Prognostic Parameters and Clinical Outcome.

Authors:  Shahzeb Munawar; Rimsha Haider; Syed Munqaad Ali; Syed Rafay Yaqeen; Sabeeh Islam; Ishaq Azeem Asghar; Anoshia Afzal; Shamail Zia; Muhammad Irfan; Atif A Hashmi
Journal:  Cureus       Date:  2021-05-13

10.  Mutant Phenotype p53 Immunohistochemical Expression Is Associated With Poor Prognostic Parameters and Disease-Free Survival in Triple-Negative Metaplastic Breast Carcinoma.

Authors:  Atif A Hashmi; Alina Sajid; Muzna Hussain; Shamail Zia; Sabeeh Islam; Muhammad Asad Diwan; Syed Munqaad Ali; Muhammad Irfan; Farozaan Shamail; Fazail Zia
Journal:  Cureus       Date:  2021-05-25
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