Skip to main content
International Journal of Clinical and Experimental Pathology logoLink to International Journal of Clinical and Experimental Pathology
. 2018 Sep 1;11(9):4363–4373.

Expression of cleaved caspase-3 predicts good chemotherapy response but poor survival for patients with advanced primary triple-negative breast cancer

Xiaodan Liu 1,3, Shenyi Jiang 2, Xin Tian 1, Youhong Jiang 1
PMCID: PMC6962992  PMID: 31949833

Abstract

Objective: To assess cleaved caspase-3 (CC3), Ki-67, and E-cadherin (E-cad) expression in relation to chemotherapy response and prognosis of patients with advanced primary triple-negative breast cancer (TNBC). Methods: CC3 expression was detected immunohistochemically in 67 pre-chemotherapy biopsy samples. Ki67 and E-cad levels were obtained from patients’ medical records. Results: CC3-positivity (N = 32; 47.8%) was associated with a higher first-line chemotherapy overall response rate (ORR; P = 0.028) and second-line chemotherapy clinical benefit rate (CBR; P = 0.033). The Ki-67 high-risk group (N = 51; 76.1%) exhibited a reduced second-line chemotherapy CBR (P = 0.024). The E-cad negative group (N = 25; 37.3%) exhibited a lower first-line chemotherapy ORR (P = 0.044) and CBR (P<0.001), and a lower second-line chemotherapy CBR (P = 0.020). CC3, Ki-67, and E-cad were significant predictors of third-line chemotherapy ORR or CBR. Similar numbers of chemotherapy cycles were completed by the CC3-positive and -negative groups. The Ki-67 high-risk and E-cad negative groups completed fewer second-line chemotherapy cycles (P = 0.038) and fewer first-line chemotherapy cycles, respectively (P = 0.001). Kaplan-Meier analyses identified worse outcomes for the CC3-positive, Ki-67 high-risk, and E-cad negative groups than for their corresponding comparison groups (P<0.05). Multivariate Cox regression analysis identified CC3 expression and an absence of E-cad expression as independent survival factors (P<0.05). Conclusions: Our CC3-positive group exhibited a better chemotherapy response, but a worse prognosis. The Ki-67 high-risk and E-cad negative groups exhibited both a worse chemotherapy response and worse prognosis.

Keywords: Triple-negative breast cancer, cleaved caspase-3, chemotherapy response, prognosis

Introduction

Triple-negative breast cancer (TNBC) is distinguished by an absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression. Consequently, patients with TNBC do not benefit from hormonal or trastuzumab-based therapies. To date, TNBC accounts for approximately 10-20% of all breast cancer cases diagnosed, and it more frequently affects younger patients and African-American women [1]. TNBC tumors are generally larger in size, are assigned a higher tumor grade, and exhibit a more aggressive phenotype compared with other types of breast cancer [2]. In addition, Farrah et al. reported that 14% of TNBC patients present with distant metastatic disease at the time of primary diagnosis [3]. In the absence of targeted therapies, chemotherapy remains the first line of treatment for TNBC patients. However, while TNBC is sensitive to chemotherapy, advanced TNBC has a very poor prognosis, with a median overall survival of 13.3 months [3]. Thus, there is an urgent need to identify new therapeutic targets for the treatment of primary advanced TNBC. In the meantime, the ability to enhance chemosensitivity and prolong patient survival would improve the prognosis of patients with primary advanced TNBC.

Chemotherapeutic drugs mainly kill tumor cells by inducing apoptosis. Caspase-3, a central member of the cysteine-aspartic acid protease (caspase) family, has a dominant role in the apoptotic signaling pathway and in regulating cellular apoptosis. Correspondingly, caspase-3 plays an important role in the development of many types of cancers [4-6]. Branham et al. reported a very strong correlation between caspase-3 expression and pathological response to neoadjuvant therapy [7], while Végran et al. found that high levels of caspase-3 expression in locally advanced breast cancer led to greater sensitivity to neoadjuvant chemotherapy [8]. However, these studies had a limited period of chemotherapy and their TNBC subgroups were not analyzed separately.

Caspase-3 is initially translated into an inactive pro-enzyme form. Caspase-3 becomes activated when cells undergo apoptosis. Cleaved caspase-3 (CC3) is the active form of caspase-3 and it is able to proteolytically cleave and activate other caspases, as well as other relevant targets, in cells to regulate apoptosis. To date, there is no evidence that a synergistic relationship exists between caspase-3 and CC3. However, it has been reported by Zhou et al. that a higher percentage of TNBC cases are characterized by positive CC3 expression compared with non-TNBC cases [9]. Moreover, CC3 expression was found to significantly correlate with poor prognosis of breast cancer, including both the TNBC and non-TNBC subtypes [9]. It should be noted that the cases examined by Zhou et al. included stage I-III breast cancer patients who underwent radical surgery, and advanced primary TNBC cases were not included in their analysis.

Therefore, in this study, we have identified advanced primary cases of TNBC in which surgery was not performed in order to eliminate surgery bias to prognosis and to reduce the impact of postoperative preventive chemotherapy on chemosensitivity. Next, expression of CC3 was detected in biopsy samples available for these cases and these results were compared to chemosensitivity exhibited in response to three lines of chemotherapy treatment and patient prognosis. Since Ki-67 and E-cad have also rarely been studied in relation to primary advanced TNBC, expression levels of these targets were obtained from pathology reports and were also examined.

Materials and methods

Patients

The General Hospital of Shenyang Military Region (Shenyang, China) maintains a database of c-Stage IIIC (n = 13) and c-Stage IV (n = 54) patients. A search of this database was conducted according to the following inclusion criteria: 1) advanced TNBC presented at first diagnosis; 2) a pathologic diagnosis was made; and 3) radical or palliative resection was not performed. In addition, patients who did not undergo chemotherapy or those whose available samples were not sufficient to perform additional immunohistochemistry (IHC) analyses (e.g., for CC3) were excluded. Pathological samples were available for 67 advanced TNBC samples that were collected between January 2008 and December 2014. The samples were obtained from primary tumors or metastatic lymph nodes by aspiration biopsy and pathology confirmed a diagnosis of TNBC. Clinical stage was diagnosed according to color Doppler ultrasound, high-resolution computed tomography (HRCT), and/or positron-emission tomography (PET)/computed tomography (CT) and classified according to the guidelines of the National Comprehensive Cancer Network (NCCN; Version 1.2017). The medical records corresponding to the selected TNBC samples were reviewed separately. Approval for this study was obtained from the Ethics Committee of China Medical University and each patient provided written informed consent.

Chemotherapy

First-line chemotherapy was anthracycline-based and was given with or without paclitaxel at our treatment center. Second-line chemotherapy was cisplatin-based as a single or combined treatment, while third-line chemotherapy was gemcitabine-based as a single or combined treatment or included other chemotherapeutics. Chemotherapy response was classified as complete (CR), partial (PR), or as stable disease (SD) versus progressive disease (PD). Overall response rate (ORR) was calculated as the sum of CR + PR. Clinical benefit rate (CBR) was calculated as the sum of CR + PR + SD. Primary tumors were used as observed indicators for chemotherapy response. However, when a new metastatic lesion was diagnosed, the response was directly considered to be PD.

Immunohistochemistry

Formalin-fixed and paraffin-embedded tissue specimens were cut into 3-μm-thick sections. To detect CC3, the sections were deparaffinized in xylene and rehydrated in a graded alcohol series. The sections were subsequently heated in citrate buffer (pH 6.0) for 30 min at 93°C in a microwave oven for antigen retrieval, then were incubated in 20% normal serum) for 50 min at room temperature. Sections were incubated with an anti-active caspase-3 antibody (ab2302; Abcam) at 4°C overnight. Sections were incubated with phosphate buffered saline (PBS) instead of the primary antibody as a negative control. The next day, sections were rinsed three times in PBS (5 min each) and then were incubated with an appropriate secondary antibody (ab6112; Abcam) for 30 min at room temperature. After the sections were washed three times with PBS, the sections were incubated with a 3,3’-diaminobenzidine solution for up to 10 min to allow color development. The stained tissue sections were reviewed and scored independently by two experienced pathologists who were blinded to the diagnosis and clinical assessment of each sample. If a disagreement occurred, the stained sections were re-evaluated to reach a consensus. A negative result was defined as an absence of staining, or staining that represented less than 10% of the tumor cells present in a sample. This standard was applied to both CC3 and E-cad stainings. The latter data were obtained from pathology reports, as were Ki-67 levels. Mean percentage of nuclear positivity was evaluated with manual counting and it was performed by two independent pathologists.

Statistical analyses

Statistical analyses were performed by using Statistical Package for the Social Sciences software (SPSS version 22, IBM, Armonk, NY, USA). Student’s t-test or the Wilcoxon Rank-Sum tests were used to compare continuous variables, while categorical variables were compared with the χ2 test or Fisher’s exact test. Survival curves were calculated according to the Kaplan-Meier method. Survival data were evaluated with univariate and multivariate Cox regression analyses (Forward: LR). P-values less than 0.05 were considered significant in all analyses performed.

Results

Protein expression and clinicopathological features

A total of 67 tissue samples that were previously collected by aspiration biopsy from a cohort of patients with advanced primary TNBC (mean age, 56.7 years) were available for analysis. Forty-six (68.7%) of these patients were in menopause and all had their diagnosis of TNBC confirmed with pathology.

Expression of Ki-67 and E-cad were previously characterized for these samples as reported in their pathology reports. For this study, the available tissue blocks were further sectioned and subjected to IHC to detect expression of CC3. Thirty-three samples (47.8%) showed positive staining for CC3 (Figure 1), 51 samples (76.1%) had high-risk levels of Ki-67 (risk > 30%), and 25 samples (37.3%) were negative for E-cad. Expression of these proteins, and p53, were analyzed in relation to patient age, menopause, T stage, N stage, TNM stage, and tumor grade (Table 1). A positive correlation was only observed between CC3 expression and high-risk levels of Ki-67 (P = 0.010).

Figure 1.

Figure 1

Representative IHC staining of TNBC biopsy tissues to demonstrate the scoring used to evaluate cleaved caspase-3 expression. Scores of 0 or 1 indicate negative staining and scores of 2 and 3 indicate positive staining.

Table 1.

Clinicopathologic characteristics of advanced TNBC patients (n = 67)

Variable CC3 expression P-value Ki-67 risk P-value E-cad expression P-value



Negative(n = 35) Positive(n = 32) ≤ 30% (n = 16) > 30%    (n = 51) Negative (n = 25) Positive (n = 42)
Age, y (mean ± SD) 57.7 ± 11.7 55.7 ± 9.7 0.439 58.8 ± 12.4 56.1 ± 10.2 0.379 56.2 ± 9.6 57.1 ± 11.5 0.758
Menopause
    Yes 25 21 0.793 13 33 0.354 19 27 0.417
    No 10 11 3 18 6 15
T stage 26 26 0.556
    T1 + T2 9 6 13 39 1.000 21 31 0.381
    T3 + T4 3 12 4 11
N stage
    N0 + N1 12 12 0.804 6 18 1.000 5 19 0.064
    N2 + N3 23 20 10 33 20 23
TNM stage
    IIIC 9 4 0.223 4 9 0.493 4 9 0.753
    IV 26 28 12 42 21 33
Grade
    2 2 1 1.000 0 3 1.000 2 1 0.551
    3 33 31 16 48 23 41
CC3 expression
    Negative N/A N/A N/A 13 22 0.010 10 25 0.138
    Positive N/A N/A 3 29 15 17
Ki-67 risk (mean ± SD) 55.1 ± 27.9% 68.8 ± 21.3% 0.028 N/A N/A N/A 69.2 ± 23.5% 57.1 ± 26.2% 0.063
Ki-67 risk
    ≤ 30% 13 3 0.010 N/A N/A N/A 4 12 0.375
    > 30% 22 29 N/A N/A 21 30
E-cad
    Negative 10 15 0.138 4 21 0.375 N/A N/A N/A
    Positive 25 17 12 30 N/A N/A
P53
    Negative 11 7 0.420 7 11 0.108 8 10 0.571
    Positive 24 25 9 40 17 32

CC3: cleaved caspase-3; SD: standard deviation; TNM: tumor, node, metastasis.

Protein expression and chemotherapy

All patients in our cohort underwent 2.48 (± 1.01) cycles of first-line chemotherapy and their ORR and CBR were 44.8% and 80.6%, respectively. A total of 54 patients (80.6%) underwent additional cycles of second-line chemotherapy (1.89 ± 1.00), and their ORR and CBR were 25.9% and 53.7%, respectively. Finally, 31 patients (46.3%) underwent 1.13 (± 0.14) cycles of third-line chemotherapy, and their ORR and CBR were 9.7% and 32.3%, respectively.

Next, we analyzed chemotherapy response according to expression levels of CC3, Ki-67, and E-cad (Tables 2, 3 and 4 and Figure 2A-C). The CC3-positive samples were associated with a higher ORR to first-line chemotherapy (P = 0.028) and a higher CBR to second-line chemotherapy (P = 0.033). Meanwhile, the ORR and CBR were similar in response to third-line chemotherapy. Both the CC3-positive and CC3-negative groups completed similar numbers of cycles for the first-, second-, and third-line chemotherapy treatments. The Ki-67 high-risk group had a lower CBR in response to second-line chemotherapy (P = 0.024), while similar responses were observed following the first- and third-line treatments. Regarding second-line chemotherapy, the Ki-67 high-risk group completed fewer cycles (P = 0.038), yet similar numbers of cycles were completed in their first-line and third-line chemotherapy treatments. The E-cad-negative group had a lower ORR (P = 0.044) and CBR (P<0.001) to first-line chemotherapy, a lower CBR (P = 0.020) to second-line chemotherapy, and a similar response to third-line chemotherapy. In addition, the E-cad-negative group had fewer cycles during their first-line treatment, and a similar number of cycles for their second-line and third-line chemotherapy treatments.

Table 2.

Patient response to first-line chemotherapy (n = 67)

Variable CR+PR SD+PD P-value CR+PR+SD SD P-value
CC3 expression
    Negative 11 24 0.028 28 7 1.000
    Positive 19 13 26 6
Ki-67 risk
    ≤ 30% 4 12 0.088 15 1 0.165
    > 30% 26 25 39 12
E-cad
    Negative 7 18 0.044 14 11 <0.001
    Positive 23 19 40 2

CR: complete response; PR: partial response; SD: stable disease; PD: progressive disease.

Table 3.

Patient response to second-line chemotherapy (n = 54)

Variable CR+PR SD+PD P-value CR+PR+SD PD P-value
CC3 expression
    Negative 5 23 0.218 11 17 0.033
    Positive 9 17 18 8
Ki-67 risk
    ≤ 30% 3 9 1.000 10 2 0.024
    > 30% 11 31 19 23
E-cad
    Negative 4 13 1.000 5 12 0.020
    Positive 10 27 24 13

CR: complete response; PR: partial response; SD: stable disease; PD: progressive disease.

Table 4.

Patient response to third-line chemotherapy (n = 31)

Variable CR+PR SD+PD P-value CR+PR+SD PD P-value
CC3 expression
    Negative 1 16 0.576 5 12 1.000
    Positive 2 12 5 9
Ki-67 risk
    ≤ 30% 2 9 0.281 5 6 0.423
    > 30% 1 19 5 15
E-cad
    Negative 0 6 1.000 4 2 0.067
    Positive 3 22 6 19

CR: complete response; PR: partial response; SD: stable disease; PD: progressive disease.

Figure 2.

Figure 2

(A-C) Chemotherapy cycles completed by patients in the CC3 (A), Ki-67 (B), and E-cad (C) groups during first-line, second-line, and third-line treatments.

Protein expression and survival

The survival time for the patients examined ranged from 12 weeks to 91 weeks (median, 46 weeks). To further understand whether the chemotherapy responses associated with the different protein expression profiles affected tumor progression and survival, overall survival and survival according to treatment regimen were analyzed. The better chemotherapy response of the CC3-positive group did not correspond with prolonged survival time (Figure 3A-D). In fact, the CC3-positive group exhibited a worse outcome compared to the negative group (P<0.001), and CC3 positivity predicted worse survival at each treatment phase (all, P<0.05). A similar method was used to analyze the Ki-67 and E-cad groups. The Ki-67 high-risk group exhibited worse overall survival (P = 0.018) and worse survival after first-line chemotherapy (P = 0.005) (Figure 4A-D). In contrast, survival after second-line and third-line chemotherapy treatments did not significantly differ (both, P > 0.05). When we considered the chemotherapy response and cycles of the Ki-67 groups, the Ki-67 high-risk group was found to have a poor response to second-line chemotherapy and fewer chemotherapy cycles were completed. It is possible that the latter condition was the reason for the worse outcome of the Ki-67 high-risk group. Similar to the Ki-67 group, the E-cad negative group exhibited worse overall survival (P<0.001) and worse survival after first-line chemotherapy (P = 0.005) (Figure 5A-D). Meanwhile, survival after the second-line and third-line chemotherapy treatments did not significantly differ (both, P > 0.05). When we considered the chemotherapy response and cycles of the E-cad expression groups, the E-cad-negative group exhibited a poor response to first-line and second-line chemotherapies and fewer chemotherapy cycles were completed for the first-line treatment (P = 0.001). A tendency for fewer cycles to be completed in the second-line treatment was also observed (P = 0.074), and this may account for the shorter survival time for the E-cad negative group.

Figure 3.

Figure 3

A-D. Association between cleaved caspase-3 expression and patient survival in different treatment phases.

Figure 4.

Figure 4

A-D. Association of Ki-67 expression with patient survival in different treatment phases.

Figure 5.

Figure 5

A-D. Association of E-cad expression with patient survival in different treatment phases.

Protein expression and independent prognosis factors

We further examined whether expression levels of CC3, Ki67, and E-cad represent independent factors for patient survival with univariate and multivariate Cox regression analyses. In the former, TNM stage and expression levels of CC3, Ki-67, and E-cad were associated with overall survival (all P<0.05) (Table 5). Meanwhile, in the multivariate Cox regression analysis, TNM stage and expression levels of CC3 and E-cad were identified as independent factors for predicting survival (all P<0.05).

Table 5.

Univariate and multivariate Cox regression analysis of OS for all patients

Variables Univariate Multivariate

HR (95% CI) P-value HR (95% CI) P-value
Age
    ≤ 50 y
    > 50 y 0.876 (0.523-1.466) 0.614 N/A N/A
Menopause
    Yes
    No 0.752 (0.440-1.287) 0.299 N/A N/A
T stage
    T1+T2
    T3+T4 0.945 (0.525-1.702) 0.850 N/A N/A
N stage
    N0+N1
    N2+N3 0.796 (0.474-1.335) 0.386 N/A N/A
TNM stage
    IIIC
    IV 2.404 (1.261-4.584) 0.008 2.021 (1.061-3.849) 0.032
Grade
    G2
    G3 0.398 (0.120-1.322) 0.133 N/A N/A
CC3
    Negative
    Positive 2.472 (1.477-4.139) 0.001 2.658 (1.563-4.522) <0.001
Ki-67 risk
    ≤ 30%
    > 30% 1.940 (1.084-3.473) 0.026 N/A N/A
E-cad
    Negative
    Positive 0.404 (0.241-0.680) 0.001 0.402 (0.233-0.695) 0.001
P53
    Negative 1.263 (0.730-2.185) 0.404 N/A N/A
    Positive

OS: overall survival; HR: hazard ratio; CI: confidence interval; TNM: tumor, node, metastasis; N/A: not available.

Discussion

In the present study, expression of CC3 was detected by IHC in 67 biopsy samples that were obtained from advanced primary TNBCs. In addition, expression of Ki-67 and E-cad were obtained from the pathology reports for each sample, while clinical characteristics, chemotherapy response, and outcome were obtained from patient medical records. The CC3-positive group was associated with a better chemotherapy response, yet it suffered a worse prognosis. Meanwhile, the Ki-67 high-risk and E-cad-negative groups were associated with a worse chemotherapy response and a worse prognosis. Multivariate Cox regression analysis further identified CC3 and E-cad expression levels as independent prognostic factors for patients with advanced primary TNBC.

Caspase-3 is an important protein in the apoptosis pathway. It is the major executioner caspase during the demolition phase of apoptosis [10], and higher levels of caspase-3 expression have characterized many malignancies [10-12]. However, to date, the role of caspase-3 in breast cancer remains controversial [13-15], particularly the relationship between caspase-3 expression and breast cancer prognosis [8,9,16,17]. CC3 (17 kDa) is the activated form of caspase-3, and to our knowledge, the present study is the first to detect it in advanced primary TNBC tissues. CC3 can initiate protein degradation and irreversible cell apoptosis by cleaving substrate proteins such as poly-ADP-ribose polymerase (PARP) [18]. The PARP family of proteins mediate DNA repair and maintenance of cell stability [19]. Thus, during anthracycline- and platinum-based chemotherapy treatments, direct or indirect DNA damage that is generated is counteracted by PARP proteins which repair DNA damage [19]. However, when PARP proteins are cleaved by CC3, they are deactivated and cell apoptosis is accelerated. Consequently, PARP inhibitors have been developed for clinical therapy for many years (including tricyclicindoles, benzimidazoles, and pthalazinones). PARP inhibition has also been found to potentiate the clinical efficacy of alkylating agents (temozolomide), topoisomerase inhibitors (irinotecan and topotecan), and ionizing radiation [20]. With PARP proteins being one of the most important substrates of CC3, we hypothesize that CC3 mediates a similar function as PARP inhibitors, and this may account for the better chemotherapy response of the CC3-positive group in the present study. However, CC3 expression was not beneficial for survival despite being associated with a better chemotherapy response. Actually, the CC3-positive group had worse survival than CC3-negative patients for unknown reasons. Expression of CC3 was also associated with high-risk Ki-67 levels, which indicates that the CC3-positive tissues are characterized by greater malignancy and a higher appreciation rate. Therefore, we hypothesize that expression of CC3 is not a cause of tumorigenesis, but rather is a consequence of tumorigenesis. For example, greater malignancy is associated with more active tumor cell apoptosis signaling, and this could result in higher expression of CC3. However, it remains unclear why tumor cells fail to undergo apoptosis or suffer low apoptosis efficiency. Thus, further studies are needed to investigate whether expression of CC3 reduces the effect of PARP inhibitors, although the results of the present study support the identification of enhanced CC3 expression as a new therapeutic target.

Ki-67 has been considered a prognostic marker in breast cancer by several international guidelines [21,22]. Moreover, TNBC has been classified into two Ki-67 subtypes, and each have different survival characteristics [23]. However, to our knowledge, very few studies have focused on the value of Ki-67 in chemotherapy response and prognosis of patients with advanced primary TNBC. In our cohort, the Ki-67 high-risk group exhibited a worse chemotherapy response, fewer chemotherapy cycles were completed, and worse survival was observed. Because there is no clear molecular evidence that Ki-67 is associated with chemosensitivity, we hypothesize that low-risk levels of Ki-67 do not correlate with a better chemotherapy response, while high-risk levels of Ki-67 lead to an enhanced cell proliferation rate and accelerated tumor progression. In this study, the chemotherapy protocol had to be modified or discontinued due to tumor progression, and this may account for the poor chemotherapy response of the Ki-67 high-risk group.

E-cad has important roles in maintaining cell polarity and integrity [24], and also in tumorigenesis, tumor progression, invasion, and metastasis [25]. During the epithelial-to-mesenchymal transition in cancer cells, downregulation of E-cad expression is a key aspect. In a study by Liu et al. [7], absence of E-cad expression was found to characterize TNBC cases more often than non-TNBC cases. However, until now, the expression and role of E-cad in advanced primary TNBC has remained unclear. Similar to the Ki-67 group, the E-cad negative group in the present study was associated with rapid tumor progression, and this resulted in fewer chemotherapy cycles and worse survival.

It should be noted that there were limitations associated with the present study. First, although all of the patients received similar chemotherapy drugs, many different chemotherapy protocols were employed and this potentially introduced treatment effect bias. Second, use of other adjuvant therapies, including radiotherapy, targeted therapy, immunotherapy, and traditional Chinese medicine therapy, may have also contributed to a bias to treatment effect. Third, IHC assays to detect Ki-67, E-cad, and P53, as well as ER, PR, and HER2, were performed and evaluated by different pathologists in the pathology department of our hospital. Thus, this may represent another source of bias.

In the present study, CC3 expression correlated with a better chemotherapy response, yet a poorer prognosis, in patients with advanced primary TNBC. CC3 was also identified as a potential independent prognostic factor and new therapeutic target for advanced primary TNBC. It is anticipated that further study of this activated protein may provide valuable insight into chemotherapy resistance and may also lead to the identification of additional therapeutic targets.

Acknowledgements

This study was supported by National Natural Science Foundations of China (Grant No 81573654 and Grant No 81372812).

Disclosure of conflict of interest

None.

References

  • 1.Morris GJ, Naidu S, Topham AK, Guiles F, Xu Y, McCue P, Schwartz GF, Park PK, Rosenberg AL, Brill K, Mitchell EP. Differences in breast carcinoma characteristics in newly diagnosed African-American and Caucasian patients: a single-institution compilation compared with the National Cancer Institute’s Surveillance, Epidemiology, and End Results database. Cancer. 2007;110:876–884. doi: 10.1002/cncr.22836. [DOI] [PubMed] [Google Scholar]
  • 2.Haffty BG, Yang Q, Reiss M, Kearney T, Higgins SA, Weidhaas J, Harris L, Hait W, Toppmeyer D. Locoregional relapse and distant metastasis in conservatively managed triple negative early-stage breast cancer. J. Clin. Oncol. 2006;24:5652–5657. doi: 10.1200/JCO.2006.06.5664. [DOI] [PubMed] [Google Scholar]
  • 3.Kassam F, Enright K, Dent R, Dranitsaris G, Myers J, Flynn C, Fralick M, Kumar R, Clemons M. Survival outcomes for patients with metastatic triple-negative breast cancer: implications for clinical practice and trial design. Clin Breast Cancer. 2009;9:29–33. doi: 10.3816/CBC.2009.n.005. [DOI] [PubMed] [Google Scholar]
  • 4.Zheng B, Chai R, Yu X. Downregulation of NIT2 inhibits colon cancer cell proliferation and induces cell cycle arrest through the caspase-3 and PARP pathways. Int J Mol Med. 2015;35:1317–1322. doi: 10.3892/ijmm.2015.2125. [DOI] [PubMed] [Google Scholar]
  • 5.Jing Z, Heng W, Xia L, Ning W, Yafei Q, Yao Z, Shulan Z. Downregulation of phosphoglycerate dehydrogenase inhibits proliferation and enhances cisplatin sensitivity in cervical adenocarcinoma cells by regulating Bcl-2 and caspase-3. Cancer Biol Ther. 2015;16:541–548. doi: 10.1080/15384047.2015.1017690. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Jia G, Wang Q, Wang R, Deng D, Xue L, Shao N, Zhang Y, Xia X, Zhi F, Yang Y. Tubeimoside-1 induces glioma apoptosis through regulation of Bax/Bcl-2 and the ROS/Cytochrome C/Caspase-3 pathway. Onco Targets Ther. 2015;8:303–311. doi: 10.2147/OTT.S76063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Branham SK, Voonna MK, Gopal RS, Kalagara H. Effect of neoadjuvant chemotherapy in advanced breast cancer at cellular level to identify the chemosensitivity by measuring the levels of activated Caspase-3, which is an index of activated apoptotic activity. J. Clin. Oncol. 2011:29. [Google Scholar]
  • 8.Vegran F, Boidot R, Oudin C, Riedinger JM, Bonnetain F, Lizard-Nacol S. Overexpression of caspase-3s splice variant in locally advanced breast carcinoma is associated with poor response to neoadjuvant chemotherapy. Clin Cancer Res. 2006;12:5794–5800. doi: 10.1158/1078-0432.CCR-06-0725. [DOI] [PubMed] [Google Scholar]
  • 9.Zhou L, Li K, Luo Y, Tian L, Wang M, Li C, Huang Q. Novel prognostic markers for patients with triple-negative breast cancer. Hum Pathol. 2013;44:2180–2187. doi: 10.1016/j.humpath.2013.03.021. [DOI] [PubMed] [Google Scholar]
  • 10.Persad R, Liu C, Wu TT, Houlihan PS, Hamilton SR, Diehl AM, Rashid A. Overexpression of caspase-3 in hepatocellular carcinomas. Mod Pathol. 2004;17:861–867. doi: 10.1038/modpathol.3800146. [DOI] [PubMed] [Google Scholar]
  • 11.Jiang H, Gong M, Cui Y, Ma K, Chang D, Wang TY. Upregulation of caspase-3 expression in esophageal cancer correlates with favorable prognosis: an immunohistochemical study from a high incidence area in northern China. Dis Esophagus. 2010;23:487–492. doi: 10.1111/j.1442-2050.2009.01043.x. [DOI] [PubMed] [Google Scholar]
  • 12.Huang JS, Yang CM, Wang JS, Liou HH, Hsieh IC, Li GC, Huang SJ, Shu CW, Fu TY, Lin YC, Ger LP, Liu PF. Caspase-3 expression in tumorigenesis and prognosis of buccal mucosa squamous cell carcinoma. Oncotarget. 2017;8:84237–84247. doi: 10.18632/oncotarget.20494. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Devarajan E, Sahin AA, Chen JS, Krishnamurthy RR, Aggarwal N, Brun AM, Sapino A, Zhang F, Sharma D, Yang XH, Tora AD, Mehta K. Down-regulation of caspase 3 in breast cancer: a possible mechanism for chemoresistance. Oncogene. 2002;21:8843–8851. doi: 10.1038/sj.onc.1206044. [DOI] [PubMed] [Google Scholar]
  • 14.Hayes DF, Isaacs C, Stearns V. Prognostic factors in breast cancer: current and new predictors of metastasis. J Mammary Gland Biol Neoplasia. 2001;6:375–392. doi: 10.1023/a:1014778713034. [DOI] [PubMed] [Google Scholar]
  • 15.Engels CC, Ruberta F, de Kruijf EM, van Pelt GW, Smit VT, Liefers GJ, Matsushima T, Shibayama M, Ishihara H, van de Velde CJ, Kuppen PJ. The prognostic value of apoptotic and proliferative markers in breast cancer. Breast Cancer Res Treat. 2013;142:323–339. doi: 10.1007/s10549-013-2748-y. [DOI] [PubMed] [Google Scholar]
  • 16.Nakopoulou L, Alexandrou P, Stefanaki K, Panayotopoulou E, Lazaris AC, Davaris PS. Immunohistochemical expression of caspase-3 as an adverse indicator of the clinical outcome in human breast cancer. Pathobiology. 2001;69:266–273. doi: 10.1159/000064337. [DOI] [PubMed] [Google Scholar]
  • 17.Blazquez S, Sirvent JJ, Olona M, Aguilar C, Pelegri A, Garcia JF, Palacios J. Caspase-3 and caspase-6 in ductal breast carcinoma: a descriptive study. Histol Histopathol. 2006;21:1321–1329. doi: 10.14670/HH-21.1321. [DOI] [PubMed] [Google Scholar]
  • 18.Wang L, Pan J, Wang T, Song M, Chen W. Pathological cyclic strain-induced apoptosis in human periodontal ligament cells through the RhoGDIalpha/caspase-3/PARP pathway. PLoS One. 2013;8:e75973. doi: 10.1371/journal.pone.0075973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Davar D, Beumer JH, Hamieh L, Tawbi H. Role of PARP inhibitors in cancer biology and therapy. Curr Med Chem. 2012;19:3907–3921. doi: 10.2174/092986712802002464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Curtin NJ. PARP inhibitors for cancer therapy. Expert Rev Mol Med. 2005;7:1–20. doi: 10.1017/S146239940500904X. [DOI] [PubMed] [Google Scholar]
  • 21.Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thurlimann B, Senn HJ Panel members. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen international expert consensus on the primary therapy of early breast cancer 2013. Ann Oncol. 2013;24:2206–2223. doi: 10.1093/annonc/mdt303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Senkus E, Kyriakides S, Penault-Llorca F, Poortmans P, Thompson A, Zackrisson S, Cardoso F ESMO Guidelines Committee. Primary breast cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2015;26(Suppl 5):v8–30. doi: 10.1093/annonc/mdt284. [DOI] [PubMed] [Google Scholar]
  • 23.Keam B, Im SA, Lee KH, Han SW, Oh DY, Kim JH, Lee SH, Han W, Kim DW, Kim TY, Park IA, Noh DY, Heo DS, Bang YJ. Ki-67 can be used for further classification of triple negative breast cancer into two subtypes with different response and prognosis. Breast Cancer Res. 2011;13:R22. doi: 10.1186/bcr2834. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Liu YX, Wang KR, Xing H, Zhai XJ, Wang LP, Wang W. Attempt towards a novel classification of triple-negative breast cancer using immunohistochemical markers. Oncol Lett. 2016;12:1240–1256. doi: 10.3892/ol.2016.4778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Hu QP, Kuang JY, Yang QK, Bian XW, Yu SC. Beyond a tumor suppressor: Soluble E-cadherin promotes the progression of cancer. Int J Cancer. 2016;138:2804–2812. doi: 10.1002/ijc.29982. [DOI] [PubMed] [Google Scholar]

Articles from International Journal of Clinical and Experimental Pathology are provided here courtesy of e-Century Publishing Corporation

RESOURCES