Literature DB >> 31516755

Adjuvant treatment for triple-negative breast cancer: a retrospective study of immunotherapy with autologous cytokine-induced killer cells in 294 patients.

Yuhan Zhang1, Shuaibing Wang2, Beibei Yang1, Su Lu1, Yiyi Du1, Hong Liu1.   

Abstract

OBJECTIVE: To examine the efficacy and safety of a sequential combination of chemotherapy and autologous cytokine-induced killer (CIK) cell treatment in triple-negative breast cancer (TNBC) patients.
METHODS: A total of 294 post-surgery TNBC patients participated in the research from January 1, 2009 to January 1, 2015. After adjuvant chemotherapy, autologous CIK cells were introduced in 147 cases (CIK group), while adjuvant chemotherapy alone was used to treat the remaining 147 cases (control group). The major endpoints of the investigation were the disease-free survival (DFS) and overall survival (OS). Additionally, the side effects of the treatment were evaluated.
RESULTS: In the CIK group, the DFS and OS intervals of the patients were significantly longer than those of the control group (DFS: P = 0.047; OS: P = 0.007). The multivariate analysis demonstrated that the TNM (tumor-node-metastasis) stage and adjuvant CIK treatment were independent prognostic factors for both DFS [hazard ratio (HR) = 0.520, 95% confidence interval (CI):0.271-0.998, P = 0.049; HR = 1.449, 95% CI:1.118-1.877, P = 0.005, respectively] and OS (HR=0.414, 95% CI:0.190-0.903, P = 0.027; HR = 1.581, 95% CI:1.204-2.077, P = 0.001, respectively) in patients with TNBC. Additionally, longer DFS and OS intervals were associated with increased number of CIK treatment cycles (DFS: P = 0.020; OS: P = 0.040). The majority of the patients who benefitted from CIK cell therapy were relatively early-stage TNBC patients.
CONCLUSION: Chemotherapy in combination with adjuvant CIK could be used to lower the relapse and metastasis rate, thus effectively extending the survival time of TNBC patients, especially those at early stages.

Entities:  

Keywords:  Immunotherapy; cytokine-induced killer cell; disease-free survival; overall survival; prognosis; triple-negative breast cancer

Year:  2019        PMID: 31516755      PMCID: PMC6713632          DOI: 10.20892/j.issn.2095-3941.2018.0378

Source DB:  PubMed          Journal:  Cancer Biol Med        ISSN: 2095-3941            Impact factor:   4.248


Introduction

As a subtype of breast cancer, triple-negative breast cancer (TNBC) is defined by the lack of estrogen receptors (ERs), progesterone receptors (PRs), and the human epidermal growth factor receptor 2 (HER2). The TNBC constitutes up to 15% to 20% of all pathological types of breast cancer, with a tendency towards aggressive behavior, clinically shown by younger onset age, higher histological grade and distant metastasis rate, as well as poorer prognosis[1]. As the TNBC patients are not eligible for conventional targeted therapies for lacking the molecular target renders, chemotherapy based on anthracyclines and taxanes is currently the main post-surgical therapeutic strategy[2]. However, the recurrence rate in patients with TNBC remains at a high level, leading to a significant decline in survival rate in the initial 3 to 5 years after surgery[3]. Therefore, exploring novel therapeutic strategies is an important clinical challenge in treating TNBC. Based on the gene expression data, TNBC was categorized by Lehmann et al.[4] into 6 subtypes, including basel-like 1 and 2 (BL1 and BL2), mesenchymal (M), immunomodulatory (IM), mesenchymal stem-like (MSL), and luminal androgen receptor (LAR). TNBC is a heterogeneous disease with varied sensitivity to different therapies. The IM subtype (featured by enhanced expression of immune genes) indicates that immune-based therapies might be beneficial to some of the TNBC patients[5]. Therefore, chemotherapies coupled with immunotherapies may be considered as an alternative option for treating TNBC patients. The principle of adoptive immunotherapy is to collect the immune cells from the human body, and then transmit them back to the human body for anti-tumor activity, after an in vitro transformation and expansion. Cytokine-induced killer (CIK) cells are defined as a subset of cytotoxic T lymphocytes with an immunophenotype of CD3+CD56+. The CIK cells have been proven to be ideal for use in immunotherapy as they can reproduce rapidly outside the human body and directly kill tumor cells[6], thereby regulating and enhancing host cell immune function in vivo[7]. Compared with another cytotoxic effector T cells, named lymphokine-activated killer (LAK) cells, the CIK cells present enhanced tumor cell lytic activity and reproduction rate, and lowered toxicity[8]. Subsequently, CIK cell-based therapy has been broadly adopted as an adjuvant treatment combined with chemotherapy for treating multiple types of cancers, such as renal cell carcinoma[9], gastric cancer[10], non-small cell lung cancer[11], colon cancer[12], and liver cancer[13], with great efficacy and safety. However, a few studies have been conducted on the efficacy of CIK treatment in breast cancer, especially in TNBC. The existing clinical studies on treating breast cancer with CIK cells have mostly concentrated on advanced or metastatic breast cancer[14-17]. These studies have shown that CIK cell therapy can be used as a rescue therapy to facilitate the prognosis of advanced or metastatic breast cancer, and to improve the patient’s quality of life. Therefore, a clinical retrospective study regarding the efficacy of CIK cell therapy on the prognosis of postoperative TNBC patients was performed.

Materials and methods

Patients

A retrospective study was conducted to examine the clinical outcomes of autologous CIK immunotherapy in TNBC patients after surgery. The patients were recruited to the study from January 1, 2009 to January 1, 2015. In the CIK group, 147 postoperative TNBC patients received autologous CIK cells after chemotherapy. Concomitantly, 147 participants (control group) were selected that received chemotherapy alone after the surgery, and also matched with age ± 1 year to the index patients. The following is the brief outline of patient enrollment procedure in the control group: Initially, between January 1, 2009 and January 1, 2015, a review of the medical records of patients diagnosed with TNBC from a computerized database in our hospital was performed; then, the matching cases were selected in accordance with the enrollment and exclusion criteria; finally, matching patients with same age as those in CIK group were chosen; if there is no same-aged case as that of patients in CIK group, the cases with age ±1 were selected randomly; if there are more than one same-aged cases, then one case was selected randomly by random number method. The following were the inclusion criteria for selecting patients: 1) The selected patients must be histologically diagnosed with TNBC. TNBC is defined by the immunohistochemical staining feature of ER, PR, and HER2. The staining feature categorization is as follow: ER and PR negative is defined as ER and PR staining < 1%; HER2 negative is defined as HER2 staining 0 to 2+ by, or a nonamplified HER2 by fluorescence in situ hybridization (FISH); 2) No occurrence of distant metastasis prior to surgery; 3) Absence of other malignant tumor; 4) Karnofsky performance status score higher than 70 %; 5) Reception of CIK treatment before disease progression. The exclusion criteria were as below: 1) absence of adjuvant chemotherapy, or inability to tolerate or complete the chemotherapy due to serious adverse reactions; 2) severe disease of heart, lung, liver or kidney, bone marrow dysfunction, autoimmune diseases; 3) pregnancy or lactation. Guided by the Declaration of Helsinki, this study has been authorized by the Ethics Committee of Tianjin Medical University Cancer Institute and Hospital (Approval No. bc2019024) and by the State Food and Drug Administration of China (No. 2006L01023). The detailed clinical characteristics of patients in the both groups are shown in the . Clinical characteristics of patients in the two groups

Treatments

All participating patients underwent modified radical mastectomy, radical mastectomy, or breast-conserving surgery. Postoperatively, these patients underwent 4 to 8 cycles of standard adjuvant chemotherapy in accordance with the NCCN Clinical Practice Guidelines in Oncology. Chemotherapy regimens involved anthracycline-based [AC (adriamycin 60 mg/m2, cyclophosphamide 600 mg/m2 d1, 21 days a cycle) or EC (epirubicin 90 mg/m2, cyclophosphamide 600 mg/m2 d1, 21 days a cycle) or CAF (5-Fu 500 mg/m2, adriamycin 50 mg/m2, cyclophosphamide 500 mg/m2 d1, 21 days a cycle) or CEF (5-Fu 500 mg/m2, epirubicin 100 mg/m2, cyclophosphamide 500 mg/m2 d1, 21 days a cycle)], anthracycline- and taxane-based [TAC (docetaxel 75 mg/m2, adriamycin 50 mg/m2, cyclophosphamide 500 mg/m2 d1, 21 days a cycle) or AC-T (adriamycin 60 mg/m2, cyclophosphamide 600 mg/m2 d1, 4 cycles, docetaxel 80-100 mg/m2 d1, 4 cycles, 21 days a cycle)], or taxane-based [TC (docetaxel 75 mg/m2, cyclophosphamide 600 mg/m2 d1, 21 days a cycle)] regimens. It was observed that some patients received neoadjuvant chemotherapy or adjuvant radiotherapy based on their clinical stage and operation. For all patients who are diagnosed with invasive breast cancer and choose breast-conserving surgery, whole breast radiotherapy (RT) is recommended. In cases of adjuvant RT after radical/modified radical mastectomy, radiation should be administered mainly to the ipsilateral chest wall and supraclavicular region on the same side as the tumor in patients with four or more positive axillary nodes, or with tumor ≥ 5 cm; for the patients with negative nodes or those with tumors < 5 cm, the guidelines recommend radiation to the chest wall. Patients with small tumors and no nodal involvement do not need to undergo radiation therapy. RT is administered to the chest wall with 6 MV X-ray at a total dose of 45-50 Gy with 1.8-2.0 Gy/fraction, 5 fractions/week. Introducing a boost to the tumor bed for patients with greater risk (age < 50 and high-grade disease) using doses of 10-16 Gy at 2 Gy/fx is recommended.

CIK cells preparation and injection

At least 2 weeks after the patients completed post-mastectomy chemotherapy (with/without radiotherapy) and when routine blood count returned to normal, 50 mL of peripheral blood samples were collected for the preparation of CIK cells. The previously published research[9, 12, 18-20] has provided the detailed method of CIK preparation. In brief, to gather the peripheral blood mononuclear cells (PBMCs) from TNBC patients, a COBE Spectra Apheresis System was used. The PBMCs were then cultured in a medium containing 1000 U/mL interferon-γ (IFN-γ), 100 U/mL recombinant human interleukin-1α (IL-1α), and 50 ng/mL anti-CD3 antibody, with 5% CO2 at 37 °C for 24 h, followed by the addition of 300 U/mL of recombinant human IL-2 to the medium. This medium was constantly replaced with a fresh medium containing IFN-γ and IL-2 every 5 days. By using this approach, a cellular subset with noticeably higher CD3+CD56+ was prepared. On the 14th day, the CIK cells were harvested. Eventually, over 5 × 109 of CIK cells with > 95% viability were obtained. No fungus, mycoplasma, or bacteria were found in the reagents. In the CIK group, on day 15 and day 16 of each chemotherapy cycle, patients received an intravenous infusion of at least 5 × 109 CIK cells. During the input, routine body indexes, such as body temperature, heart rate, respiration, blood pressure, and other basic vital signs, were monitored. Maintenance treatment was accessible to these patients unless they refused to proceed or in case of recurrence or distant metastasis.

Follow-up and clinical assessment

From the date of surgery until May 1, 2018 or death, a follow-up was performed for all the patients. The median follow-up time was 75 months (ranging from 39-110 months). The overall survival (OS) and disease-free survival (DFS) were defined in accordance with the National Cancer Institute’s Response Evaluation Criteria in Solid Tumors (RECIST)[21]. OS was measured from the date of surgery until decease and living patients were examined at the time of the last follow-up. DFS was calculated from the date of surgery until first recurrence or metastasis, or death from any cause. Patients that achieved a stable state were evaluated at the final follow-up. Besides, based on the criteria specified by the World Health Organization (WHO), adverse clinical activities were monitored and evaluated. In the initial 2 years after the surgery, the follow-up was conducted in a 3-month cycle. The interval was extended to 6 months from year 2 through year 5, and annually thereafter. The reviewed patient records included breast ultrasound, breast tumor markers, mammography, X-ray or computed tomography (CT) on the chest, liver and abdomen ultrasound, bone scan, and head magnetic resonance imaging (MRI) if necessary. In this study, telephonic consultation was offered to each patient and no loss to follow-up was experienced.

Statistical analysis

The Chi-square and Fisher’s exact tests were used to analyze the differences in variables of the two groups, in terms of both demographic and clinical characteristics. The Kaplan-Meier method was used to evaluate the survival time and rate distribution. The log-rank test univariate analyses were used to assess the relationship between survival and the potential prognostic factors. This was further verified by the multivariate analysis of Cox proportional hazards regression. Further, SPSS 20.0 software was used as a tool to analyze all the calculations. Statistical significance was considered at two-tailed P < 0.05 for all the calculations.

Results

Patients’ characteristics

This retrospective analysis involved total 294 patients, with 147 members in each group (CIK and control group). Each participant was compared to the matching patient from the other group for the time of diagnosis, age at onset of disease, pathological type, tumor size, TNM stage and regional lymph node metastasis at the first visit, operation and treatment, and subsequent therapies. It was found that there were no statistically significant differences between the two groups (P > 0.05). shows the data for all the patients.

Survival analysis

It was observed that the patients in the CIK group experienced significantly longer DFS intervals than their counterparts in the control group (P = 0.047, ). DFS rates of the CIK and control group after 1-, 3-, and 5-year intervals were 99.3% vs. 95.9%, 91.8% vs. 83.7%, and 88.1% vs. 81.3%, respectively. Similarly, the OS interval of the CIK group was significantly longer than that of the control group (P = 0.007, ), and the 1-, 3-, and 5-year OS rates of the CIK and control group were 99.3% vs. 98.0%, 96.6% vs. 91.8%, and 93.4% vs. 84.1%, respectively. Therefore, compared to the control group patients treated with adjuvant chemotherapy (with or without radiotherapy), post-mastectomy TNBC patients, who received additional sequential CIK treatment, had significantly improved DFS and OS rates. In the CIK group, the median courses of CIK treatment were 6 cycles (range 1-26 cycles). Patients undergoing ≥ 6 cycles of CIK cell therapy had greater DFS (P = 0.020, ) and OS (P = 0.040, ) rates than those treated with < 6 cycles. Therefore, it can be inferred that longer CIK treatment courses are associated with better prognosis. Survival analysis of patients in cytokine-induced killer (CIK) group and control group. (A) Disease-free disease-free survival (DFS) curves. (B) Overall survival (OS) curves. The Kaplan-Meier method was used to compare the DFS and OS between the CIKgroup and control group. Prognostic impact of the frequency of cytokine-induced killer (CIK) treatment on patients in the CIK group. (A) Disease disease-free survival (DFS) curves. (B) Overall survival (OS) curves. The Kaplan-Meier method was used to compare the survival rates between the patients in the CIK group underwent ≤ 6 cycles CIK cells injection and the patients in the CIK group underwent > 6 cycles CIK cells injection. Until the completion of follow-up, recurrence or metastasis was observed in 16 patients in the CIK group, and 29 patients in the control group. Statistically, the two groups had no difference in the metastatic sites or the number of sites. It was found that the most common sites of distant metastases were the bone, lung, liver, and brain (). The details of recurrence and metastasis between the two groups

Subgroup analysis

Further study was conducted to analyze the TNM stages of the patients that received better benefits from the CIK cell treatment. For this, all 294 patients were divided into an early-stage group (I, IIa stage) and a late-stage group (IIb, III stage), and a survival analysis of each subgroup was conducted. It was observed that the OS of TNBC patients in the early-stage group was extended by CIK treatment (P = 0.018, ). However, such results were not obtained for the DFS (P = 0.081, ; P = 0.114, ) or the OS of late-stage TNBC patients (P = 0.054, ). (A) Subgroup analysis to estimate the benefits of CIK treatment according to TNM stages. A, disease-free survival (DFS) curves of TNBC patients with stage I, IIa. (B) Subgroup analysis to estimate the benefits of CIK treatment according to TNM stages. B, overall survival (OS) curves of TNBC patients with stage I, IIa. (C) Subgroup analysis to estimate the benefits of CIK treatment according to TNM stages. A, disease-free survival (DFS) curves of TNBC patients with stage IIb, III. (D) Subgroup analysis to estimate the benefits of CIK treatment according to TNM stages. B, overall survival (OS) curves of TNBC patients with stage IIb, III.

Prognosis analysis

In the univariate and multivariate analysis, the impact of CIK treatment on the prognosis of post-surgery patients with TNBC was further evaluated. It was revealed by the log-rank test univariate analysis that the size of a tumor, TNM stage, lymph node metastasis, histological grade, radiotherapy, and CIK treatment were the prognostic factors influencing DFS and OS in TNBC patients. Additional Cox multivariate analysis showed that for TNBC patients, the adjuvant CIK treatment and TNM stage remained independent prognostic factors for both DFS (CIK treatment: HR = 0.520, 95% CI:0.271-0.998, P = 0.049; TNM stage: HR = 1.449, 95% CI:1.118-1.877, P = 0.005, respectively) and OS (CIK treatment: HR = 0.414, 95% CI:0.190-0.903, P = 0.027; TNM stage: HR = 1.581, 95% CI:1.204-2.077, P = 0.001, respectively, ). Multivariate analysis of DFS and OS in patients with TNBC

Toxic and side effects

Adverse reactions during the treatment in both groups of patients were observed. Both groups experienced common adverse reactions, including myelosuppression, fever, nausea and vomiting, liver dysfunction, kidney dysfunction, and the peripheral nerve toxicity. The main adverse reactions were I to II degrees. In the III-IV-degree myelosuppression group, 11 were in the CIK group and 12 in the control group; the side effects of the digestive tract were within the III degree; fever, renal impairment, and neurotoxicity were of I-II degrees. No intolerable adverse reactions were observed in both the groups, and no statistical difference was observed on comparing the adverse events between two groups (). There were no obvious adverse reactions observed during the injection of CIK cells. In the CIK group, 11 patients had a transient fever reaction (temperature < 38.5°C) that returned to normal condition within 24 h after symptomatic treatment. Moreover, during the course of CIK cell treatment, no patient quit midway due to intolerant side effects. Adverse events of the two groups

Discussion

Compared to the non-triple-negative breast cancers, TNBC shows more biological aggression. It is also associated with poorer prognosis and shorter survival time[1]. On account of the stronger antigenicity owing to genomic instability and tumor mutation load, as well as higher expression of tumor infiltrating lymphocytes (TILs)[22], and programmed death-ligand 1 (PD-L1)[23] in TNBC make them a suitable target for immunotherapy, in contrast to the other subtypes of breast cancer. As the immunotherapy is non-organ-specific or non-tumor-specific, it is important to find the proper patient and treatment time, while combining it with existing treatment to achieve maximum efficacy. A breakthrough was achieved recently as immune checkpoint inhibitors (anti-PD-1 and anti-PD-L1 antibodies[24, 25]) became clinically effective. These previous significant studies have encouraged us to conduct the retrospective research on the effectiveness and safety of autologous CIK cell therapy coupled with chemotherapy in TNBC patients. We found that CIK treatment combined with chemotherapy could effectively reduce the recurrence and metastasis in TNBC patients, thereby prolonging overall survival, and it had a stronger effect on patients at relatively early-stage of the disease. The conclusion that the patients in the early stages are the ones most benefited from CIK treatment was in line with some of the results from available studies on the treatment of other early-stage tumors by CIK immune cells[26, 27]. Several mechanisms could further contribute to the observed phenomenon. On one hand, the immune function of patients with late-stage cancer could be suppressed by the heavy tumor burden, which also influences the activity of infused CIK cells[28]. Immune system suppression related to tumor stages may hinder the initial expansion of CIK cells[29]. On the other hand, to evade the immune surveillance or immunotherapy, late-stage cells of metastatic cancer may evolve at molecular level[30]. Relevant information that could contribute to preventing recurrence and metastasis in early-stage TNBC patients using the new immunotherapy protocol is provided in the study. Sequential CIK cell therapy after adjuvant chemotherapy resulted in dramatic lengthening of both DFS and OS intervals compared to those after chemotherapy alone, with a median DFS of 59 versus 55 months, and a median OS of 60 versus 59 months, respectively. The therapeutic model of cytotoxic chemotherapy combined with immunotherapy has been supported by some preclinical studies. These studies have shown that there is a synergy and complementation relationship between immunotherapy and chemotherapy[31]. The left-out tumor cells after chemotherapy and some chemotherapy-insensitive tumor cells can be removed by CIK cells[32]. Furthermore, it was demonstrated in previous studies that CIK cells could function as anti-cancer stem cells[33]. In this way, CIK cell therapy can reduce tumor recurrence and metastasis. Additionally, CIK cells secrete cytokines, such as IFN-γ, IL-2, and TNF-α, which can activate the anti-tumor properties of macrophages, reduce the immunological damage resulting from chemotherapeutic drugs, and facilitate the immune surveillance function of the body, to inhibit the growth of tumor cells[34]. Some chemotherapeutics, such as anthracycline can not only kill tumor cells directly, but also increase the sensitivity of tumor cells to immune effector cells[35], thereby promoting their eradication by immune cells. With weakly immunogenic and immunosuppressive properties, immune escape is a typical biological feature of tumor cells[36]. Regulatory T (Treg) cells could limit the anti-tumor effect of immune cells by hindering CD3+CD4+ and CD3+CD8+ T lymphocytes from activation and proliferation, preventing NK cells proliferation, producing inhibitory cytokines, and eliminating effector cells, thereby promoting the immune escape of tumor cells, thus stimulating tumor progression[37]. CIK cells are capable of decreasing Treg cells ratio in peripheral blood of tumor patients, thereby increasing the proportion of CD3+CD4+T cells and the ratio of CD4+/CD8+T cells, thus the immunosuppressive status of tumor patients could be reduced or eliminated[38]. Therefore, chemotherapy can significantly lower the tumor burden, and then immune suppression can be alleviated or restored, hence sequential immunotherapy could achieve better therapeutic efficacy. Additionally, besides the synergic effect with chemotherapy, immunotherapy also shows synergy with radiotherapy. Preclinical and clinical evidence suggests that RT may be a motivating factor to enhance the therapeutic benefits of immunotherapy for cancers[39, 40].The potential effects of radiotherapy combined with immunotherapy are complex and multifactorial. Briefly, a combination of RT and immunotherapy induces the release of antigens during cancer cell death in association with proinflammatory signals that trigger the innate immune system to activate the tumor-specific T cells; thus, tumor targeted radiation therapy can be converted into an in-situ tumor vaccine[41]. To summarize, RT could improve the efficacy of immunotherapy and the immune system also functions in the action of radiotherapy. No significant difference was found in the adverse reactions to chemotherapy plus CIK immunotherapy or chemotherapy alone, which indicates that the adverse effects of CIK immunotherapy are minor. The number of cycles for CIK treatment in this study depended on the patient’s disease progression, willingness to treat, and family economic status, ranging from 1 to 26 cycles, with the median of 6 treatment cycles. Survival analysis showed that the patients treated for more than 6 cycles with CIK cells had greater DFS and OS intervals than those treated with less than 6 cycles, demonstrating that the prognosis of patients was related to the frequency of CIK administration. However, the specific connection between the number of CIK treatment cycles and survival remains to be explored. Furthermore, the equilibrium of treatment efficacy and costs, and the exploration of the number of cycles to the greatest benefit of patients remains to be studied. The study was novel for a number of reasons. First, the objects of the study were TNBC patients without distant metastasis, which forms a complementation with existing clinical studies of the patients at an advanced stage of breast cancer or metastatic breast cancer using CIK cells for treatment[14-17]. Therefore, this study enhanced our understanding of the potential of CIK cells in breast cancer treatment. Additionally, previous studies mostly concentrated on treatment using a single chemotherapy regimen[42]; in this study, the chemotherapy regimens were classified into anthracycline-based, anthracycline- and taxane-based, and taxane-based regimens, which provided a more comprehensive description of the efficacy of CIK cell therapy. However, this study also has some limitations. First, the precise assessment of CIK cell-induced treatment might be limited by the patient selection bias in the retrospective study. Second, the data collected in this study spanned from January 1, 2009 to January 1, 2015 and the follow-up period was up to May 1, 2018. The short follow-up time did not reflect the effect of CIK cell therapy on the long-term survival of patients with TNBC after surgery. A previous study revealed that CIK cells have a long half-life in vivo[43], which could explain the long-lasting effects of CIK cells. Even if the disease progresses, the remaining active CIK cells can eliminate tumor cells and slow down the disease progression. Therefore, a prospective, multi-center, long-lasting follow-up assessment of CIK cell therapy for TNBC is required.

Conclusions

In summary, the strategy of CIK cell therapy after adjuvant chemotherapy could reduce recurrence and metastasis in postoperative TNBC patients, thereby prolong the overall survival time with minimum side effects. Therefore, CIK cell immunotherapy could be a potential new strategy for systemic adjuvant therapy after surgery for TNBC patients in the near future. Recently, the development of a gene expression profile facilitated re-classification of TNBC into six new subtypes, which showed varied sensitivities to different therapies. As precision medicine develops, precision therapy may be directed at various, potentially actionable molecular mutations in different subtypes of TNBC.

Conflict of interest statement

No potential conflicts of interest are disclosed. Clinical characteristics of patients in the two groups
1

Clinical characteristics of patients in the two groups

CharacteristicsCIK groupControl groupP
Patients, n 147147
Age (years)1.000
 < 3599
 ≥ 35138138
Tumor size (cm)0.644
 ≤ 26468
 > 2, ≤ 56558
 > 51114
 Unable to value77
Lymph node metastasis0.338
 Yes5361
 No9486
TNM stage0.064
 I4643
 IIa5656
 IIb2311
 IIIa514
 IIIb12
 IIIc915
 Unable to value76
Histological grade0.365
 102
 28988
 35857
Pathological type0.069
 Invasive ductal carcinoma138129
 Others918
Surgery0.469
 Radical mastectomy2417
 Modified radical mastectomy110118
 Breast-conserving surgery1312
Radiotherapy0.162
 Yes3828
 No109119
Neoadjuvant chemotherapy1.000
 Yes2121
 No126126
Adjuvant chemotherapy regimens0.319
 Anthracycline-based1710
 Anthracycline-and taxane-based113122
 Taxane-based1715
2

The details of recurrence and metastasis between the two groups

CIK group (n = 16) Control group (n = 29) P
Sites0.581
 Chest wall3/16 (18.8%)6/29 (20.7%)
 Regional lymph node4/16 (25.0%)5/29 (17.2%)
 Lung6/16 (37.5%)12/29 (41.4%)
 Bone6/16 (37.5%)9/29 (31.0%)
 Liver3/16 (18.8%)5/29 (17.2%)
 Brain3/16 (18.8%)4/29 (13.8%)
 Other sites1/16 (6.3%)2/29 (6.9%)
Numbers of metastatic sites0.628
 17/16 (43.7%)14/29 (48.3%)
 21/16 (6.3%)4/29 (13.8%)
 ≥ 38/16 (50.0%)11/29 (37.9%)
3

Multivariate analysis of DFS and OS in patients with TNBC

ParameterDFSOS
HR (95%CI)P HR (95%CI)P
*P < 0.05
TNM stage1.449 (1.118-1.877)0.005*1.581 (1.204-2.077)0.001*
Tumor size1.943 (0.847-4.459)0.1172.018 (0.761-5.352)0.158
Lymph node metastasis1.001 (0.426-2.352)0.9981.258 (0.465-3.403)0.652
Histological grade1.510 (0.821-2.778)0.1851.576 (0.796-3.119)0.191
Radiotherapy0.578 (0.198-1.692)0.3170.738 (0.209-2.605)0.637
CIK treatment0.520 (0.271-0.998)0.049*0.414 (0.190-0.903)0.027*
4

Adverse events of the two groups

Adverse eventsCIK group (n = 147) Control group (n = 147) P
Bone marrow suppression0.222
 09884
 I2035
 II1816
 III810
 IV32
Fever0.491
 0118112
 I2832
 II13
 III00
 IV00
Nausea and vomiting0.545
 09894
 I1813
 II2331
 III89
 IV00
Liver dysfunction0.641
 0120117
 I1721
 II108
 III01
 IV00
Kidney dysfunction0.415
 0137134
 I913
 II10
 III00
 IV00
Peripheral nerve toxicity0.542
 0132126
 I1013
 II58
 III00
 IV00
1

Clinical characteristics of patients in the two groups

PatientGroupAge, yearsTNM stageLymph nodePathological gradesRadiotherapyRecurrenceSurvival
1CIK group77IIbPositiveIIINoYesAlive
2CIK group52IIaPositiveIIYesNoAlive
3CIK group38Unable to valuePositiveIIINoNoAlive
4CIK group60INegativeIINoNoAlive
5CIK group58IPositiveIIIYesNoAlive
6CIK group60Unable to valueNegativeIIINoNoAlive
7CIK group37IIbNegativeIINoNoAlive
8CIK group49INegativeIINoNoAlive
9CIK group51INegativeIINoNoAlive
10CIK group50IIIaPositiveIIYesNoAlive
11CIK group60INegativeIINoNoAlive
12CIK group61IIaNegativeIINoNoAlive
13CIK group76IIaNegativeIINoNoAlive
14CIK group46INegativeIINoNoAlive
15CIK group54IIaPositiveIIYesNoAlive
16CIK group64IIbPositiveIINoNoAlive
17CIK group58IIbPositiveIINoNoAlive
18CIK group44IIbPositiveIIIYesNoAlive
19CIK group50INegativeIIINoNoAlive
20CIK group33IIbNegativeIINoNoAlive
21CIK group57IIIcPositiveIIIYesYesDeath
22CIK group52Unable to valueNegativeIIINoNoAlive
23CIK group56IIaPositiveIIYesNoAlive
24CIK group38INegativeIINoNoAlive
25CIK group33IIaNegativeIIINoNoAlive
26CIK group51IIbPositiveIIINoNoAlive
27CIK group58IIIcPositiveIIINoNoAlive
28CIK group53IIIcPositiveIINoYesAlive
29CIK group40IIaNegativeIIYesNoAlive
30CIK group54IIaNegativeIINoNoAlive
31CIK group56IIaPositiveIIIYesNoAlive
32CIK group51INegativeIINoNoAlive
33CIK group53IIaPositiveIIINoNoAlive
34CIK group56IIaNegativeIINoNoAlive
35CIK group59INegativeIINoNoAlive
36CIK group66IIaNegativeIINoNoAlive
37CIK group56INegativeIINoNoAlive
38CIK group42IIbPositiveIIIYesYesDeath
39CIK group50IIaNegativeIIINoNoAlive
40CIK group49INegativeIINoNoAlive
41CIK group69INegativeIIINoNoAlive
42CIK group47IIaNegativeIINoNoAlive
43CIK group55IPositiveIINoNoAlive
44CIK group50IIaNegativeIINoNoAlive
45CIK group59INegativeIIINoNoAlive
46CIK group59IIaPositiveIINoNoAlive
47CIK group50IIIcPositiveIIINoNoAlive
48CIK group56Unable to valuePositiveIIIYesNoAlive
49CIK group57INegativeIINoNoAlive
50CIK group60IIaNegativeIINoNoAlive
51CIK group63INegativeIINoNoAlive
52CIK group62IIaPositiveIIYesNoAlive
53CIK group60INegativeIIINoNoAlive
54CIK group54IIaNegativeIIINoNoAlive
55CIK group48IIbPositiveIINoNoAlive
56CIK group58IIaNegativeIINoNoAlive
57CIK group31INegativeIIIYesNoAlive
58CIK group56IIaPositiveIIYesNoAlive
59CIK group60IIaPositiveIINoNoAlive
60CIK group52INegativeIINoNoAlive
61CIK group42IIIcPositiveIIIYesYesDeath
62CIK group52IIaNegativeIIINoNoAlive
63CIK group53INegativeIINoNoAlive
64CIK group61IIIaPositiveIIYesNoAlive
65CIK group48IIaPositiveIINoNoAlive
66CIK group34INegativeIIINoNoAlive
67CIK group71IIbNegativeIINoNoAlive
68CIK group48Unable to valueNegativeIINoYesAlive
69CIK group46INegativeIINoNoAlive
70CIK group37IIbNegativeIIYesNoAlive
71CIK group45IIIaPositiveIINoNoAlive
72CIK group61IIaNegativeIINoNoAlive
73CIK group45IIIcPositiveIIIYesYesDeath
74CIK group56INegativeIIINoNoAlive
75CIK group59IIaNegativeIINoNoAlive
76CIK group46IIaNegativeIINoNoAlive
77CIK group41INegativeIINoNoAlive
78CIK group46IIbPositiveIIINoNoAlive
79CIK group49IIaNegativeIIINoNoAlive
80CIK group54INegativeIIINoNoAlive
81CIK group61IIbPositiveIIIYesNoAlive
82CIK group49IIaNegativeIINoNoAlive
83CIK group55INegativeIINoNoAlive
84CIK group50IIaNegativeIIYesYesDeath
85CIK group46INegativeIINoNoAlive
86CIK group57IIIbPositiveIIYesNoAlive
87CIK group33IIbPositiveIIINoNoAlive
88CIK group61IIaNegativeIIINoNoAlive
89CIK group52INegativeIIINoNoAlive
90CIK group47IIaNegativeIIYesNoAlive
91CIK group58IIIaPositiveIIYesNoAlive
92CIK group45IIaNegativeIINoNoAlive
93CIK group53INegativeIINoNoAlive
94CIK group32IIaNegativeIIIYesYesAlive
95CIK group38IIaPositiveIIIYesNoAlive
96CIK group31Unable to valueNegativeIIIYesYesDeath
97CIK group50IIbNegativeIIINoNoAlive
98CIK group44IIbNegativeIINoNoAlive
99CIK group62IIaPositiveIIINoNoAlive
100CIK group54INegativeIIYesNoAlive
101CIK group50IIaPositiveIINoNoAlive
102CIK group68INegativeIIINoNoAlive
103CIK group26Unable to valueNegativeIIYesNoAlive
104CIK group60IIaNegativeIINoNoAlive
105CIK group35IIbPositiveIINoNoAlive
106CIK group36IIaNegativeIINoNoAlive
107CIK group52IIbPositiveIIIYesNoAlive
108CIK group60IIaNegativeIINoNoAlive
109CIK group43IIaNegativeIIINoNoAlive
110CIK group57IIaPositiveIIINoNoAlive
111CIK group73IIIaPositiveIIINoNoAlive
112CIK group72IIaNegativeIINoNoAlive
113CIK group47IIaNegativeIIINoNoAlive
114CIK group49IIaNegativeIIINoYesAlive
115CIK group40INegativeIINoNoAlive
116CIK group52IIbPositiveIIINoYesAlive
117CIK group38IIbPositiveIIIYesNoAlive
118CIK group53IIaNegativeIIINoNoAlive
119CIK group50IIaNegativeIINoNoAlive
120CIK group57INegativeIINoYesAlive
121CIK group54IIaPositiveIIINoNoAlive
122CIK group50IIbPositiveIIIYesNoAlive
123CIK group64INegativeIINoNoAlive
124CIK group61INegativeIINoNoAlive
125CIK group49INegativeIIYesNoAlive
126CIK group59INegativeIINoNoAlive
127CIK group68IIbPositiveIINoNoAlive
128CIK group59IIbPositiveIIINoNoAlive
129CIK group59IIaNegativeIIINoNoAlive
130CIK group48IIaNegativeIINoYesAlive
131CIK group53INegativeIINoNoAlive
132CIK group60INegativeIIINoNoAlive
133CIK group45IIIcPositiveIIIYesYesDeath
134CIK group60INegativeIINoNoAlive
135CIK group69IIIcPositiveIIYesYesDeath
136CIK group45IIaNegativeIIINoNoAlive
137CIK group39INegativeIINoNoAlive
138CIK group42INegativeIINoNoAlive
139CIK group44INegativeIIIYesNoAlive
140CIK group44INegativeIIYesNoAlive
141CIK group32IIaPositiveIIYesNoAlive
142CIK group55INegativeIIINoNoAlive
143CIK group43IIaNegativeIINoYesDeath
144CIK group40IIaNegativeIINoNoAlive
145CIK group64IIaNegativeIINoNoAlive
146CIK group69IIIcPositiveIIYesYesDeath
147CIK group44IIaNegativeIINoNoAlive
148Control group78INegativeIINoNoAlive
149Control group76INegativeIINoNoAlive
150Control group73INegativeIINoNoAlive
151Control group72IIbPositiveIIINoNoAlive
152Control group71IIIcPositiveIIINoYesDeath
153Control group69IIbPositiveIIINoYesDeath
154Control group69IIIaPositiveIIYesYesDeath
155Control group69IIIbNegativeIIINoNoAlive
156Control group68INegativeIIINoNoAlive
157Control group68INegativeIIYesNoAlive
158Control group66INegativeIINoNoAlive
159Control group64INegativeIIYesNoAlive
160Control group64IIbPositiveIINoNoAlive
161Control group64IIaNegativeIINoNoAlive
162Control group63Unable to valueNegativeIIINoNoAlive
163Control group62IIaPositiveIINoNoAlive
164Control group62IIaNegativeIIIYesNoAlive
165Control group61IIaNegativeIINoNoAlive
166Control group61IIaPositiveIIIYesYesDeath
167Control group61IIIaPositiveIIYesYesDeath
168Control group61IIaNegativeIINoNoAlive
169Control group61IIaNegativeINoNoAlive
170Control group61IIbPositiveIIYesNoAlive
171Control group61IIaNegativeIINoNoAlive
172Control group60INegativeIINoNoAlive
173Control group60IIaNegativeIINoNoAlive
174Control group60IIIcPositiveIINoNoAlive
175Control group60IIaNegativeIIINoNoAlive
176Control group60IIIaPositiveIIYesYesDeath
177Control group60IIIcPositiveIINoNoAlive
178Control group60IIIcPositiveIIIYesYesDeath
179Control group60IIIcPositiveIIYesYesDeath
180Control group60Unable to valuePositiveIIINoNoAlive
181Control group59IIIcPositiveIINoNoAlive
182Control group59IIbPositiveIIINoNoAlive
183Control group59IIaPositiveIINoNoAlive
184Control group59INegativeIIINoNoAlive
185Control group59IIaPositiveIINoYesDeath
186Control group59IIaPositiveIINoNoAlive
187Control group59IIaNegativeIIYesNoAlive
188Control group58IIbNegativeIIYesNoAlive
189Control group58IIaPositiveIINoNoAlive
190Control group58IIaNegativeIINoNoAlive
191Control group58IIIaPositiveIIYesNoAlive
192Control group58IIaNegativeIIYesNoAlive
193Control group56INegativeIINoNoAlive
194Control group57INegativeIINoYesAlive
195Control group57IIIaPositiveIIINoNoAlive
196Control group57INegativeIIYesNoAlive
197Control group57IIaNegativeIIINoNoAlive
198Control group56IIIcPositiveIINoNoAlive
199Control group56IIIaPositiveIIINoNoAlive
200Control group56IIIbNegativeIIINoYesDeath
201Control group56INegativeIIINoYesDeath
202Control group56IIaNegativeIIYesNoAlive
203Control group56INegativeIIINoNoAlive
204Control group56IIaNegativeIIINoNoAlive
205Control group55IIaPositiveIIINoNoAlive
206Control group55IIaPositiveIIIYesNoAlive
207Control group55INegativeIIINoYesDeath
208Control group54INegativeIINoNoAlive
209Control group54INegativeIIINoNoAlive
210Control group54IIaPositiveIINoNoAlive
211Control group54IIIcPositiveIINoYesDeath
212Control group54IIaNegativeIINoNoAlive
213Control group54IIIaPositiveIIYesNoAlive
214Control group53IIIcPositiveIINoYesDeath
215Control group53IIaNegativeIINoYesDeath
216Control group53INegativeIINoNoAlive
217Control group53IIaPositiveIINoYesDeath
218Control group53INegativeIIINoYesDeath
219Control group53IIaPositiveIINoNoAlive
220Control group52IIaNegativeIINoNoAlive
221Control group52INegativeIINoNoAlive
222Control group52IIaNegativeIINoNoAlive
223Control group52INegativeIIYesYesAlive
224Control group52IIaPositiveIINoNoAlive
225Control group52INegativeIIIYesNoAlive
226Control group52INegativeIINoNoAlive
227Control group51INegativeIINoNoAlive
228Control group51IIaPositiveIIINoNoAlive
229Control group51INegativeIIYesNoAlive
230Control group50IIaNegativeIIINoNoAlive
231Control group50IIbPositiveIINoNoAlive
232Control group50IIaNegativeIINoYesAlive
233Control group50IIIcPositiveIIINoNoAlive
234Control group50IIaPositiveIIINoNoAlive
235Control group50INegativeIIINoNoAlive
236Control group50IIIcPositiveIIYesYesDeath
237Control group50Unable to valueNegativeINoNoAlive
238Control group50INegativeIINoNoAlive
239Control group50INegativeIIINoNoAlive
240Control group49IIaNegativeIIINoNoAlive
241Control group49IIIcPositiveIIIYesYesDeath
242Control group49INegativeIIINoNoAlive
243Control group49INegativeIINoNoAlive
244Control group49IIaNegativeIINoNoAlive
245Control group49INegativeIINoNoAlive
246Control group48IIIaPositiveIIYesYesAlive
247Control group48IIaNegativeIINoNoAlive
248Control group48IIaNegativeIINoNoAlive
249Control group48IIbPositiveIIINoYesDeath
250Control group47INegativeIINoNoAlive
251Control group47IIaPositiveIIYesNoAlive
252Control group47IIaNegativeIIINoNoAlive
253Control group46INegativeIINoNoAlive
254Control group46INegativeIINoNoAlive
255Control group46IIIcPositiveIINoNoAlive
256Control group46INegativeIIINoNoAlive
257Control group46IIaPositiveIINoNoAlive
258Control group45IIaNegativeIIINoNoAlive
259Control group45INegativeIIINoNoAlive
260Control group45IIIaPositiveIINoNoAlive
261Control group45INegativeIINoNoAlive
262Control group45IIIaPositiveIIIYesNoAlive
263Control group44IIaPositiveIINoNoAlive
264Control group44IIaNegativeIINoYesDeath
265Control group44IIaNegativeIINoNoAlive
266Control group44INegativeIIINoNoAlive
267Control group44IIaNegativeIIINoNoAlive
268Control group43INegativeIIINoNoAlive
269Control group43IIaPositiveIINoNoAlive
270Control group42IIIaPositiveIIINoNoAlive
271Control group42IIaNegativeIIINoNoAlive
272Control group42IIaPositiveIINoNoAlive
273Control group41IIaNegativeIINoNoAlive
274Control group40IIaNegativeIIINoYesDeath
275Control group40INegativeIINoNoAlive
276Control group40Unable to valueNegativeIIINoNoAlive
277Control group39IIaNegativeIINoNoAlive
278Control group38IIbPositiveIIINoNoAlive
279Control group38Unable to valueNegativeIINoNoAlive
280Control group38IIIaPositiveIINoNoAlive
281Control group38IIaPositiveIIINoYesDeath
282Control group37IIIaPositiveIINoYesDeath
283Control group37IIIcPositiveIIINoNoAlive
284Control group36IIbPositiveIIIYesYesDeath
285Control group35IIIaPositiveIINoYesAlive
286Control group34IIbPositiveIINoNoAlive
287Control group33INegativeIIINoNoAlive
288Control group33IIaPositiveIINoNoAlive
289Control group33IIIcPositiveIIIYesNoAlive
290Control group32INegativeIINoNoAlive
291Control group32Unable to valueNegativeIINoNoAlive
292Control group31INegativeIIINoNoAlive
293Control group31IIaNegativeIIINoNoAlive
294Control group26IIaNegativeIIINoYesDeath
  43 in total

1.  Locoregional relapse and distant metastasis in conservatively managed triple negative early-stage breast cancer.

Authors:  Bruce G Haffty; Qifeng Yang; Michael Reiss; Thomas Kearney; Susan A Higgins; Joanne Weidhaas; Lyndsay Harris; Willam Hait; Deborah Toppmeyer
Journal:  J Clin Oncol       Date:  2006-11-20       Impact factor: 44.544

2.  Triple-negative breast cancer: clinical features and patterns of recurrence.

Authors:  Rebecca Dent; Maureen Trudeau; Kathleen I Pritchard; Wedad M Hanna; Harriet K Kahn; Carol A Sawka; Lavina A Lickley; Ellen Rawlinson; Ping Sun; Steven A Narod
Journal:  Clin Cancer Res       Date:  2007-08-01       Impact factor: 12.531

Review 3.  Immunotherapy and chemotherapy--a practical partnership.

Authors:  Richard A Lake; Bruce W S Robinson
Journal:  Nat Rev Cancer       Date:  2005-05       Impact factor: 60.716

4.  Chemotherapy enhances tumor cell susceptibility to CTL-mediated killing during cancer immunotherapy in mice.

Authors:  Rupal Ramakrishnan; Deepak Assudani; Srinivas Nagaraj; Terri Hunter; Hyun-Il Cho; Scott Antonia; Soner Altiok; Esteban Celis; Dmitry I Gabrilovich
Journal:  J Clin Invest       Date:  2010-03-15       Impact factor: 14.808

5.  Identification of heme oxygenase-1-specific regulatory CD8+ T cells in cancer patients.

Authors:  Mads Hald Andersen; Rikke Baek Sørensen; Marie K Brimnes; Inge Marie Svane; Jürgen C Becker; Per thor Straten
Journal:  J Clin Invest       Date:  2009-08       Impact factor: 14.808

6.  Clinical trials on CIK cells: first report of the international registry on CIK cells (IRCC).

Authors:  C Hontscha; Y Borck; H Zhou; D Messmer; I G H Schmidt-Wolf
Journal:  J Cancer Res Clin Oncol       Date:  2010-04-21       Impact factor: 4.553

7.  Resistance of ex vivo expanded CD3+CD56+ T cells to Fas-mediated apoptosis.

Authors:  M R Verneris; M Kornacker; V Mailänder; R S Negrin
Journal:  Cancer Immunol Immunother       Date:  2000-08       Impact factor: 6.968

8.  CIK cells from patients with HCC possess strong cytotoxicity to multidrug-resistant cell line Bel-7402/R.

Authors:  You-Shun Zhang; Fang-Jun Yuan; Guo-Feng Jia; Ji-Fa Zhang; Li-Yi Hu; Ling Huang; Ju Wang; Zong-Qing Dai
Journal:  World J Gastroenterol       Date:  2005-06-14       Impact factor: 5.742

9.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

10.  Use of a SCID mouse/human lymphoma model to evaluate cytokine-induced killer cells with potent antitumor cell activity.

Authors:  I G Schmidt-Wolf; R S Negrin; H P Kiem; K G Blume; I L Weissman
Journal:  J Exp Med       Date:  1991-07-01       Impact factor: 14.307

View more
  6 in total

Review 1.  Immunology and immunotherapy in breast cancer.

Authors:  Vladimir Semiglazov; Andrey Tseluiko; Asel Kudaybergenova; Anna Artemyeva; Petr Krivorotko; Roman Donskih
Journal:  Cancer Biol Med       Date:  2022-06-09       Impact factor: 5.347

2.  Drug resistance gene expression and chemotherapy sensitivity detection in Chinese women with different molecular subtypes of breast cancer.

Authors:  Jing Zhao; Hailian Zhang; Ting Lei; Juntian Liu; Shichao Zhang; Nan Wu; Bo Sun; Meng Wang
Journal:  Cancer Biol Med       Date:  2020-12-15       Impact factor: 4.248

Review 3.  The Characteristics of Tumor Microenvironment in Triple Negative Breast Cancer.

Authors:  Yiqi Fan; Shuai He
Journal:  Cancer Manag Res       Date:  2022-01-03       Impact factor: 3.989

4.  High Expression of RAI14 in Triple-Negative Breast Cancer Participates in Immune Recruitment and Implies Poor Prognosis Through Bioinformatics Analyses.

Authors:  Ranliang Cui; Ting Zhao; Changsen Bai; Ning Ji; Jialei Hua; Li Ren; Yueguo Li
Journal:  Front Pharmacol       Date:  2022-04-01       Impact factor: 5.988

Review 5.  Recent Progress on Immunotherapy for Breast Cancer: Tumor Microenvironment, Nanotechnology and More.

Authors:  Yang Li; Wenfang Miao; Doudou He; Siqi Wang; Jianjuan Lou; Yanni Jiang; Shouju Wang
Journal:  Front Bioeng Biotechnol       Date:  2021-06-02

6.  Impact of FAK Expression on the Cytotoxic Effects of CIK Therapy in Triple-Negative Breast Cancer.

Authors:  Mei-Ren Pan; Cheng-Che Wu; Jung-Yu Kan; Qiao-Lin Li; Shu-Jyuan Chang; Chun-Chieh Wu; Chung-Liang Li; Fu Ou-Yang; Ming-Feng Hou; Hon-Kan Yip; Chi-Wen Luo
Journal:  Cancers (Basel)       Date:  2019-12-30       Impact factor: 6.639

  6 in total

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