Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Subscribers
    • Advertisers
    • Editorial Board
    • Special Issues 2025
  • Journal Metrics
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Anticancer Research
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Anticancer Research

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Subscribers
    • Advertisers
    • Editorial Board
    • Special Issues 2025
  • Journal Metrics
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Visit us on Facebook
  • Follow us on Linkedin
Research ArticleClinical Studies

Prognostic Factors for Advanced/Recurrent Breast Cancer Treated With Immune-cell Therapy

RISHU TAKIMOTO, TAKASHI KAMIGAKI, SACHIKO OKADA, HIROSHI IBE, ERI OGUMA and SHIGENORI GOTO
Anticancer Research August 2021, 41 (8) 4133-4141; DOI: https://doi.org/10.21873/anticanres.15216
RISHU TAKIMOTO
1Seta Clinic Group, Tokyo, Japan
2Department of Next Generation Cell and Immune Therapy, Juntendo University, Tokyo, Japan
3LSI Sapporo Clinic, Sapporo, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: takimoto{at}j-immunother.com
TAKASHI KAMIGAKI
1Seta Clinic Group, Tokyo, Japan
2Department of Next Generation Cell and Immune Therapy, Juntendo University, Tokyo, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
SACHIKO OKADA
1Seta Clinic Group, Tokyo, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
HIROSHI IBE
1Seta Clinic Group, Tokyo, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ERI OGUMA
1Seta Clinic Group, Tokyo, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
SHIGENORI GOTO
1Seta Clinic Group, Tokyo, Japan
2Department of Next Generation Cell and Immune Therapy, Juntendo University, Tokyo, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: Advanced/recurrent breast cancer (ARBC) still has a poor prognosis; therefore, new treatment strategies are required. In this retrospective study, we aimed to investigate the efficacy of immune-cell therapy using T lymphocytes activated in vitro with or without dendritic cell vaccination in combination with standard therapies in terms of the survival of patients with ARBC. Patients and Methods: A total of 127 patients with ARBC were enrolled in this study. The correlation between overall survival and various clinical factors of each ARBC subset was examined by univariate and multivariate analyses. Results: Multivariate analysis demonstrated that performance status (PS) 0, the absence of prior chemotherapy, liver/pleural metastasis, and the presence of combined surgery in ARBC and PS 0 or the absence of liver metastasis in the HR+/HER− subset are indications for immune-cell therapy. Conclusion: A survival benefit could be potentially obtained by a combination of immune-cell therapy with other therapies in ARBC patients.

Key Words:
  • Immune-cell therapy
  • breast cancer
  • prognostic factors
  • αβT cell therapy
  • dendritic cell vaccine

Although efforts have been made to improve the early diagnosis and treatment of breast cancer (BC), it remains the most common type of cancer and the increasing cause of cancer-related death in women (1, 2). Several targeted therapies, such as human epidermal growth factor receptor 2 (HER2)-targeting drugs, cyclin-dependent kinase 4/6 (cdk 4/6) inhibitor, and poly ADP ribose polymerase (PARP) inhibitor, have been developed and proven to be effective (3).

Genomics has improved our understanding of BC biology and revealed four intrinsic molecular subtypes: luminal A [resembling the histological phenotype: estrogen receptor (ER) +, progesterone receptor (PR) +, HER2−, Ki67−], luminal B (ER+, PR+, HER+/−, Ki67+), HER2 (ER−, PR−, HER2+), and basal-like subtype (ER−, PR−, HER2−) (4). The classification of BC into subtypes has clinical relevance. For instance, in the treatment of the hormone receptor (HR)+ subtypes (positive for ER and/or PR), endocrine therapeutics, including aromatase inhibitors or selective estrogen receptor mediators such as Tamoxifen, play an important role. HER2-overexpressing tumors are generally treated with HER2-targeting drugs such as trastuzumab and pertuzumab, whereas triple-negative BC (TNBC, largely resembling the basal-like BC subtype) is mostly treated with standard cytotoxic therapies. However, treatments for TNBC are limited, and the development of effective treatments against TNBC subtypes is required (5).

The immune system can protect the host from tumorigenesis through immune surveillance mechanisms (6). One of the mechanisms attributed to the occurrence or development of cancer is the deficiency of the immune system. Various strategies, which include the use of cytokines, cancer vaccines, checkpoint inhibitors, and adoptive cell transfer (ACT), have been developed to improve the immune function of cancer patients. Strategies to block the programmed death 1 (PD1) pathway have been substantially developed over the last 2-3 years, with novel agents already approved for various cancers, including lung cancer, renal cancer, gastric cancer, esophageal cancer, and melanoma, and other agents at different steps of clinical development (7).

Initially, BC was considered a poorly immunogenic tumor type and has therefore not been extensively investigated for its susceptibility to immune therapies. However, during the past years, it became evident that certain cases of BC are strongly infiltrated by immune cells and that the presence of these immune cells has significant prognostic value (8). Although immune therapies for BC are currently examined in many studies, still only a minority of patients appear to respond to such therapies, and little is known about the mechanisms underlying treatment efficacy. However, there are convincing data supporting their immunogenicity against BC, which may represent an ideal target for immunotherapy (9, 10).

ACT is a form of passive immunotherapy using immune cells that are exogenously produced or manipulated to promote an antitumor immune response (11). In ACT, cells from the blood or bone marrow are isolated from a patient, activated and expanded in vitro, and reinfused into the same patient (autologous) or a different patient (allogeneic). Several studies on ACT for BC in the advanced stage have shown encouraging results in some patients, but the number of patients enrolled in such studies was small and the efficacy of ACT for BC patients remains unclear (12-15).

In this study, we retrospectively analyzed patients with ARBC, who have been administered immune-cell therapy in combination with conventional therapy at the clinics of the Seta Clinic Group.

Patients and Methods

Patients. The database of patients administered immune-cell therapy at the clinics of the Seta Clinic Group was searched to identify patients with BC. As a result, 428 patients were identified and enrolled in this study. We retrospectively reviewed the medical records of those administered αβT cell therapy, dendritic cell (DC) vaccine therapy, or both between 1999 and 2015. The study protocol was approved by the Research Ethics Committee of the Seta Clinic Group. Available data on age, gender, performance status (PS) score on the Eastern Cooperative Oncology Group (ECOG) scale, metastasis sites, clinical stage, treatments, and vital status were extracted from the medical records of the patients.

Treatment. For αβT cell therapy, activated lymphocytes were generated as previously described (16, 17). In brief, peripheral blood mononuclear cells (PBMCs) were isolated from a patient’s peripheral blood using Vacutainer (Becton, Dickinson and Company, Franklin Lakes, NJ, USA). The PBMCs were activated in a culture flask with an immobilized monoclonal antibody to CD3 (Jansen-Kyowa, Tokyo, Japan) in Hymedium 930 (Kohjin Bio, Saitama, Japan) containing 1% autologous serum. The PBMCs were then cultured for 14 days with 700 IU/ml recombinant interleukin-2 (IL-2) (Proleukin®; Chiron, Amsterdam, the Netherlands), after which, 3-10 × 109 cells were harvested and suspended in 100 ml of normal saline for intravenous injection. To prepare a DC vaccine, PBMCs were collected from the patients by leukapheresis and allowed to adhere to a plastic culture flask. The adherent cell fraction was used for DC culture for six days using a medium supplemented with 50 ng/ml IL4 (Primmune Corp., Osaka, Japan) and 5 ng/ml granulocyte macrophage colony-stimulating factor (GM-CSF) (Primmune Corp.) to generate immature DCs. The DCs were pulsed with antigenic tumor-specific peptides or an autologous tumor lysate and allowed to mature for 24 h. After the culture, 1-10×106 mature DCs were harvested and suspended in 1 ml of normal saline used for subcutaneous injection, and then cryopreserved until the day of administration. Immune-cell therapy consists of αβT cells or DC vaccine, or both, and is commonly administered six times, that is, every two weeks for three months, as one course.

Assessment. Overall survival (OS) was defined as the length of time from the initial administration of immune-cell therapy to death from any cause; it was calculated for every patient. The Kaplan–Meier analysis was used to calculate survival probabilities for all patients.

Statistical analyses. The OS of the patients was examined by the Kaplan–Meier analysis with the Log-rank test, and the hazard ratio was obtained by Cox regression methods in univariate and multivariate analyses. All statistical analyses were two-sided and performed using JMP, version 15.0.0 for Microsoft Windows 10 (SAS, Cary, NC, USA). Differences were considered statistically significant when p<0.05.

Results

Patient selection. A total of 428 patients with BC were enrolled in this study (Figure 1). Of the 428 patients, 127 had advanced or recurrent cancer (155 patients were excluded because of insufficient data and 146 were excluded because immune-cell therapy was performed as a prophylaxis against recurrence). Among the 127 patients with ARBC, 36 patients were HR+/HER2−, 32 patients were HR−/HER2+, 12 patients were HR+/HER2+, and 47 patients were TNBC.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Procedure for selection of patients enrolled in this study. BC: Breast cancer; ARBC: advanced/recurrent BC.

The patients’ characteristics are summarized in Table I. In this study, the correlations between OS and various factors including age, PS score, clinical stage, histology, surgery, chemotherapy, radiotherapy, and immune-cell therapy were evaluated by univariate analysis and multivariate Cox regression analysis.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Patient characteristics.

Overall survival. The median age of the patients with ARBC was 53 years old (127 patients; range=28-80 years) as shown in Table I. Sixty-nine patients (54.3%) who visited our clinic were PS 0 in full analysis sets of ARBC patients (Table I). Most of the patients’ clinical stage at diagnosis was more than II in each subset. Since the administration of immune-cell therapy has started, the median survival time (MST) of patients with ARBC was 33.7 months (Figure 2A). As for BC subsets, the MSTs of HR+/HER2−, HR−/HER2+, HR+/HER2+, and TNBC patients were 48.1, 20.7, 35.6, and 26.9 months, respectively (Figure 2B). As shown in Figure 2A, the 3- and 5-year OS rates of patients with BC were 47.6% and 35.2%, respectively. In TNBC patients, the 3- and 5-year OS rates were 37.0% and 21.1%, respectively. The OS rates of TNBC patients were significantly shorter than those of the other subsets (TNBC patients vs. HR+/HER2−, HR+/HER2+, and HR−/HER2+ patients, p=0.0348) (Figure 2B).

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Kaplan–Meier estimates of overall survival in the full analysis set of ARBC (A) and BC subsets according to HR or HER2 expression (B). ARBC: Advanced or recurrent breast cancer; BC: breast cancer; N: number of patients; OS: overall survival (months); MST: median survival time; HR: hormone receptor; HER2: human epidermal growth factor receptor-2; TNBC: triple-negative breast cancer. (*p=0.0348, TNBC vs. HR+/HER2−, HR−/HER2+, HR+/HER2+).

Univariate and multivariate analyses. We performed univariate analysis to identify the prognostic factors for a full analysis set of ARBC patients and each BC subset. In the case of the full analysis set of ARBC patients, univariate analysis demonstrated that the patients whose PS was more than 1 showed a worse prognosis than those whose PS was 0 (HR=0.501, 95%CI=0.283-0.885, p=0.0172; Table II). In HR+/HER2− subsets, the patients with PS of 0 showed better prognosis than those with PS of ≥1 (HR=0.273, 95%CI=0.089-0.840, p=0.0235; Table II). However, there were no significant clinical factors that affected patients’ prognosis in the other BC subsets.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Univariate analyses of overall survival in relation to clinical background of breast cancer patients.

In terms of treatment strategy, univariate analysis demonstrated that the full analysis set of ARBC patients treated with immune cell therapy with prior surgery or prior chemotherapy showed worse prognosis than those without either prior treatment, and those with combined surgery showed better prognosis than those without it (prior surgery: HR=2.303, 95%CI=1.095-4.841, p=0.0278; prior chemotherapy: HR=2.131, 95%CI=1.053-4.312, p=0.0354; combined surgery: HR=0.228, 95%CI=0.071-0.731, p=0.0129; Table III). In HR−/HER2+ subsets, patients treated with combined surgery showed better prognosis than those without surgery (HR=0.122, 95%CI=0.016-0.945, p=0.0440; Table III). In TNBC subsets, univariate analysis demonstrated that patients treated with prior radiotherapy showed worse prognosis than those without radiotherapy, and those with combined radiotherapy showed better prognosis than those without the treatment (prior radiotherapy: HR=3.038, 95%CI=1.177-7.841, p=0.0216; combined radiotherapy: HR=0.322, 95%CI=0.107-0.969, p=0.0439; Table III). Regarding the type of immune-cell therapy (i.e., αβT or αβT with DC), we did not find any significant difference in survival between the types of immune-cell therapy. In relation to metastatic sites, univariate analysis revealed that the ARBC patients with liver or pleural metastasis showed worse prognosis than those without metastasis (liver: HR=2.332, 95%CI=1.424-3.819, p=0.0008; pleura: HR=4.197, 95%CI=1.281-13.754, p=0.0179; Table IV). In the HR+/HER2− and TNBC subsets, patients with liver metastasis showed poorer prognosis than those without metastasis (HR+/HER2−: HR=3.391, 95%CI=1.289-8.923, p=0.0134; TNBC: HR=3.175, 95%CI=1.428-7.058, p=0.0046; Table IV). Regarding the other BC subsets, we were unable to identify any specific metastatic sites that affect patients’ prognosis, probably owing to the small number of patients in the other BC subsets.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table III.

Univariate analyses of overall survival in relation to therapy in breast cancer patients.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table IV.

Univariate analyses of overall survival in relation to metastatic site in breast cancer patients.

Finally, multivariate analysis showed that factors such as PS ≥1 (HR=2.411, 95%CI=1.302-4.465, p=0.0051), the presence of prior chemotherapy (HR=2.254, 95%CI=1.063-4.779, p=0.0340), and the presence of liver or pleural metastasis (liver: HR=2.034, 95%CI=1.185-3.491, p=0.0100; pleura: HR=4.003, 95%CI=1.178-13.600, p=0.0262) were poor prognostic factors, whereas the presence of combined surgery was a favorable factor (HR=0.283, 95%CI=0.083-0.958, p=0.0425) in the full analysis set of ARBC patients treated with immune-cell therapy (Table V). In the HR+/HER− subsets, multivariable analysis revealed that PS ≥1 and the presence of liver metastasis were unfavorable prognostic factors (PS ≥1, HR=3.661, 95%CI=1.162-11.536, p=0.0266; liver metastasis: HR=3.380, 95%CI=1.190-9.595, p=0.0222). In the case of TNBC patients, multivariate analysis demonstrated no significant clinical factors that affected the prognosis of these patients treated with immune-cell therapy, although patients with liver metastasis showed slightly worse prognosis than those without metastasis (HR=2.316, 95%CI=0.942-5.698, p=0.0674; Table VI).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table V.

Multivariate analyses of overall survival in relation to therapy and clinical background of full analysis set of breast cancer patients.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table VI.

Multivariate analyses of overall survival in relation to therapy and clinical background of HR+/HER2− and TNBC subsets.

Discussion

Many patients with BC have poor prognosis, especially those in the advanced stage, despite the development of combination chemotherapies and molecular targeting therapies that have prolonged the MST of patients with ARBC. Conventional treatments, including surgery, chemotherapy, and radiotherapy, may have various adverse effects and impair the patients’ antitumor immunity, resulting in residual tumor. In this retrospective study, we extracted 127 patients with ARBC from among the 428 patients who have visited our clinic and were diagnosed as having BC, and we analyzed the efficacy of immune-cell therapy combined with a standard therapy. As a result, we observed an increased efficacy of immune-cell therapy for patients with ARBC. The 3- and 5-year survival rates of ARBC patients were almost similar or higher than those of the historical control reported in the “Japanese Association of Clinical Cancer Centers” (18) since immune-cell therapy was administered in most of the patients several months or years after diagnosis (Figure 2). Furthermore, the survival rates of other subsets, such as HR+/HER2−, HR−/HER2+, HR+/HER2+, and TNBC patients, were also better than those of the historical control (19).

We have examined the effect of the clinical background of each BC subset on the prognosis, and found that PS affected the prognosis of the full analysis set and the HR+/HER2− subset, which is consistent with a previous report that a better PS is suitable for active treatment (Table II) (20).

Radiotherapy has been used to eradicate a localized disease or serve a palliative role; however, this therapy has recently been recognized as a potent immune response modulator that augments immune therapy (21, 22). Concerning the effect of treatment strategy on the prognosis of each BC subset, it was shown that the combination of immune-cell therapy with radiotherapy improved the prognosis of the TNBC subset (Table III).

Furthermore, the combination of surgical operation with immune-cell therapy improved patients’ prognosis in the full analysis set and the HR−/HER2+ subset (Table III). Solid tumors have a complex and inflamed microenvironment. The inflammation is induced via proinflammatory mediators secreted from tumors, tumor-infiltrating lymphocytes (TILs), cancer-associated fibroblasts, and myeloid-derived suppressor cells (MDSCs) (23-25). These cells have been shown to crosstalk with each other, resulting in the release of proinflammatory cytokines, chemokines, and growth factors that induce immune suppression (26, 27). It has been demonstrated that the inhibition of interaction between tumor cells and MDSCs might improve immune system dysfunction (28). From this viewpoint, tumor removal by surgical resection might result in the recovery from immune system dysfunction induced by MDSCs, leading to better prognosis in certain subtypes of BC, such as the HR−/HER2+ subset. Besides surgical operation, immune cell therapy can lead to the recovery of the immunosuppressive status and provide survival benefits for patients.

ARBC patients who develop distant metastasis to the liver have been reported to have a poor prognosis (19). We have also found that a combination of immune-cell therapy and standard therapy could not improve the prognosis of these patients with lung/liver metastasis, although the MST of these patients was longer than that of the historical control. These findings indicate that it might be difficult to restore the impaired immunological status in advanced-stage cancer patients by immune-cell therapy (Table V).

It has been demonstrated that some TNBC patients have high immune cell infiltration to eliminate continuously many immunogenic clones, resulting in lower clonal heterogeneity (10). In contrast, there were contradictory data that showed a weak positive relationship between the neoantigen load and the cytolytic immune gene expression pattern, indicating that some types of TNBC are immunogenic owing to the high tumor mutation burden (29). Although many promising outcomes have been seen with newer immunotherapies, such as immune checkpoint inhibitors (30), many unresolved issues still remain unclarified. Thus, when selecting treatment strategies, it is necessary to consider BC subsets (HR or HER2 status), TIL, and tumor mutation burden (9).

In conclusion, a better prognosis could be obtained by the combination of immune-cell therapy and other therapies with the patients’ normal immune-cell function preserved. However, to establish a comprehensive immunotherapy for BC, it is necessary to conduct a randomized trial to further elucidate the benefits of the combination of immune-cell therapy and various other treatments, such as chemotherapy, radiotherapy, and therapy with immune checkpoint inhibitors.

Footnotes

  • Authors’ Contributions

    Conception and design: R. Takimoto, T. Kamigaki, and S. Goto; Administrative support: S. Okada, H. Ibe, and E. Oguma; Collection and assembly of data: S. Okada, H. Ibe, and E. Oguma; Data analysis and interpretation: R. Takimoto, S. Okada, T. Kamigaki, and S. Goto. Final approval of manuscript: All Authors.

  • Conflicts of Interest

    The Authors affirm that there are no potential conflicts of interest in relation to this study.

  • Received May 22, 2021.
  • Revision received June 7, 2021.
  • Accepted June 8, 2021.
  • Copyright © 2021 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

References

  1. ↵
    1. Siegel RL,
    2. Miller KD,
    3. Fuchs HE and
    4. Jemal A
    : Cancer statistics, 2021. CA Cancer J Clin 71(1): 7-33, 2021. PMID: 33433946. DOI: 10.3322/caac.21654
    OpenUrlCrossRefPubMed
  2. ↵
    1. Katanoda K,
    2. Hori M,
    3. Saito E,
    4. Shibata A,
    5. Ito Y,
    6. Minami T,
    7. Ikeda S,
    8. Suzuki T and
    9. Matsuda T
    : Updated trends in cancer in Japan: incidence in 1985-2015 and mortality in 1958-2018 - a sign of decrease in cancer incidence. J Epidemiol, 2021. PMID: 33551387. DOI: 10.2188/jea.JE20200416
    OpenUrlCrossRefPubMed
  3. ↵
    1. Harbeck N and
    2. Gnant M
    : Breast cancer. Lancet 389(10074): 1134-1150, 2017. PMID: 27865536. DOI: 10.1016/S0140-6736(16)31891-8
    OpenUrlCrossRefPubMed
  4. ↵
    1. Cornejo KM,
    2. Kandil D,
    3. Khan A and
    4. Cosar EF
    : Theranostic and molecular classification of breast cancer. Arch Pathol Lab Med 138(1): 44-56, 2014. PMID: 24377811. DOI: 10.5858/arpa.2012-0442-RA
    OpenUrlCrossRefPubMed
  5. ↵
    1. Cadoo KA,
    2. Fornier MN and
    3. Morris PG
    : Biological subtypes of breast cancer: current concepts and implications for recurrence patterns. Q J Nucl Med Mol Imaging 57(4): 312-321, 2013. PMID: 24322788.
    OpenUrlPubMed
  6. ↵
    1. Stoll G,
    2. Bindea G,
    3. Mlecnik B,
    4. Galon J,
    5. Zitvogel L and
    6. Kroemer G
    : Meta-analysis of organ-specific differences in the structure of the immune infiltrate in major malignancies. Oncotarget 6(14): 11894-11909, 2015. PMID: 26059437. DOI: 10.18632/oncotarget.4180
    OpenUrlCrossRefPubMed
  7. ↵
    1. Farkona S,
    2. Diamandis EP and
    3. Blasutig IM
    : Cancer immunotherapy: the beginning of the end of cancer? BMC Med 14: 73, 2016. PMID: 27151159. DOI: 10.1186/s12916-016-0623-5
    OpenUrlCrossRefPubMed
  8. ↵
    1. Spellman A and
    2. Tang SC
    : Immunotherapy for breast cancer: past, present, and future. Cancer Metastasis Rev 35(4): 525-546, 2016. PMID: 27913998. DOI: 10.1007/s10555-016-9654-9
    OpenUrlCrossRefPubMed
  9. ↵
    1. Hammerl D,
    2. Smid M,
    3. Timmermans AM,
    4. Sleijfer S,
    5. Martens JWM and
    6. Debets R
    : Breast cancer genomics and immuno-oncological markers to guide immune therapies. Semin Cancer Biol 52(Pt 2): 178-188, 2018. PMID: 29104025. DOI: 10.1016/j.semcancer.2017.11.003
    OpenUrlCrossRefPubMed
  10. ↵
    1. Karn T,
    2. Jiang T,
    3. Hatzis C,
    4. Sänger N,
    5. El-Balat A,
    6. Rody A,
    7. Holtrich U,
    8. Becker S,
    9. Bianchini G and
    10. Pusztai L
    : Association between genomic metrics and immune infiltration in triple-negative breast cancer. JAMA Oncol 3(12): 1707-1711, 2017. PMID: 28750120. DOI: 10.1001/jamaoncol.2017.2140
    OpenUrlCrossRefPubMed
  11. ↵
    1. Rosenberg SA
    : The adoptive immunotherapy of cancer using the transfer of activated lymphoid cells and interleukin-2. Semin Oncol 13(2): 200-206, 1986. PMID: 3520827.
    OpenUrlPubMed
  12. ↵
    1. Sparano JA,
    2. Fisher RI,
    3. Weiss GR,
    4. Margolin K,
    5. Aronson FR,
    6. Hawkins MJ,
    7. Atkins MB,
    8. Dutcher JP,
    9. Gaynor ER and
    10. Boldt DH
    : Phase II trials of high-dose interleukin-2 and lymphokine-activated killer cells in advanced breast carcinoma and carcinoma of the lung, ovary, and pancreas and other tumors. J Immunother Emphasis Tumor Immunol 16(3): 216-223, 1994. PMID: 7834121. DOI: 10.1097/00002371-199410000-00006
    OpenUrlCrossRefPubMed
    1. Wright SE
    : Immunotherapy of breast cancer. Expert Opin Biol Ther 12(4): 479-490, 2012. PMID: 22413825. DOI: 10.1517/14712598.2012.665445
    OpenUrlCrossRefPubMed
    1. Ueno NT,
    2. Rizzo JD,
    3. Demirer T,
    4. Cheng YC,
    5. Hegenbart U,
    6. Zhang MJ,
    7. Bregni M,
    8. Carella A,
    9. Blaise D,
    10. Bashey A,
    11. Bitran JD,
    12. Bolwell BJ,
    13. Elfenbein GJ,
    14. Fields KK,
    15. Freytes CO,
    16. Gale RP,
    17. Lazarus HM,
    18. Champlin RE,
    19. Stiff PJ and
    20. Niederwieser D
    : Allogeneic hematopoietic cell transplantation for metastatic breast cancer. Bone Marrow Transplant 41(6): 537-545, 2008. PMID: 18084340. DOI: 10.1038/sj.bmt.1705940
    OpenUrlCrossRefPubMed
  13. ↵
    1. Bernhard H,
    2. Neudorfer J,
    3. Gebhard K,
    4. Conrad H,
    5. Hermann C,
    6. Nährig J,
    7. Fend F,
    8. Weber W,
    9. Busch DH and
    10. Peschel C
    : Adoptive transfer of autologous, HER2-specific, cytotoxic T lymphocytes for the treatment of HER2-overexpressing breast cancer. Cancer Immunol Immunother 57(2): 271-280, 2008. PMID: 17646988. DOI: 10.1007/s00262-007-0355-7
    OpenUrlCrossRefPubMed
  14. ↵
    1. Takimoto R,
    2. Kamigaki T,
    3. Okada S,
    4. Matsuda E,
    5. Ibe H,
    6. Oguma E,
    7. Naitoh K,
    8. Makita K and
    9. Goto S
    : Efficacy of adoptive immune-cell therapy in patients with advanced gastric cancer: a retrospective study. Anticancer Res 37(7): 3947-3954, 2017. PMID: 28668899. DOI: 10.21873/anticanres.11778
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Takimoto R,
    2. Kamigaki T,
    3. Okada S,
    4. Matsuda E,
    5. Ibe H,
    6. Oguma E,
    7. Naitoh K,
    8. Makita K and
    9. Goto S
    : Prognostic factors for colorectal cancer patients treated with combination of immune-cell therapy and first-line chemotherapy: a retrospective study. Anticancer Res 39(8): 4525-4532, 2019. PMID: 31366555. DOI: 10.21873/anticanres.13629
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Japanese Association of Clinical Cancer Centres
    . Available at: http://www.zengankyo.ncc.go.jp/index.html [Last accessed on June 7, 2021]
  17. ↵
    1. Wang R,
    2. Zhu Y,
    3. Liu X,
    4. Liao X,
    5. He J and
    6. Niu L
    : The Clinicopathological features and survival outcomes of patients with different metastatic sites in stage IV breast cancer. BMC Cancer 19(1): 1091, 2019. PMID: 31718602. DOI: 10.1186/s12885-019-6311-z
    OpenUrlCrossRefPubMed
  18. ↵
    1. Laohavinij S,
    2. Paul V and
    3. Maneenil K
    : Survival and prognostic factors of metastatic breast cancer. J Med Assoc Thai 100(Suppl 1): S16-S26, 2017. PMID: 29927171.
    OpenUrlPubMed
  19. ↵
    1. Hu ZI,
    2. Ho AY and
    3. McArthur HL
    : Combined radiation therapy and immune checkpoint blockade therapy for breast cancer. Int J Radiat Oncol Biol Phys 99(1): 153-164, 2017. PMID: 28816141. DOI: 10.1016/j.ijrobp.2017.05.029
    OpenUrlCrossRefPubMed
  20. ↵
    1. Bernal-Estévez D,
    2. Sánchez R,
    3. Tejada RE and
    4. Parra-López C
    : Chemotherapy and radiation therapy elicits tumor specific T cell responses in a breast cancer patient. BMC Cancer 16: 591, 2016. PMID: 27484900. DOI: 10.1186/s12885-016-2625-2
    OpenUrlCrossRefPubMed
  21. ↵
    1. Gabrilovich DI,
    2. Ostrand-Rosenberg S and
    3. Bronte V
    : Coordinated regulation of myeloid cells by tumours. Nat Rev Immunol 12(4): 253-268, 2012. PMID: 22437938. DOI: 10.1038/nri3175
    OpenUrlCrossRefPubMed
    1. Shou D,
    2. Wen L,
    3. Song Z,
    4. Yin J,
    5. Sun Q and
    6. Gong W
    : Suppressive role of myeloid-derived suppressor cells (MDSCs) in the microenvironment of breast cancer and targeted immunotherapies. Oncotarget 7(39): 64505-64511, 2016. PMID: 27542274. DOI: 10.18632/oncotarget.11352
    OpenUrlCrossRefPubMed
  22. ↵
    1. Yu J,
    2. Du W,
    3. Yan F,
    4. Wang Y,
    5. Li H,
    6. Cao S,
    7. Yu W,
    8. Shen C,
    9. Liu J and
    10. Ren X
    : Myeloid-derived suppressor cells suppress antitumor immune responses through IDO expression and correlate with lymph node metastasis in patients with breast cancer. J Immunol 190(7): 3783-3797, 2013. PMID: 23440412. DOI: 10.4049/jimmunol.1201449
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Yang L,
    2. Pang Y and
    3. Moses HL
    : TGF-beta and immune cells: an important regulatory axis in the tumor microenvironment and progression. Trends Immunol 31(6): 220-227, 2010. PMID: 20538542. DOI: 10.1016/j.it.2010.04.002
    OpenUrlCrossRefPubMed
  24. ↵
    1. Viola A,
    2. Sarukhan A,
    3. Bronte V and
    4. Molon B
    : The pros and cons of chemokines in tumor immunology. Trends Immunol 33(10): 496-504, 2012. PMID: 22726608. DOI: 10.1016/j.it.2012.05.007
    OpenUrlCrossRefPubMed
  25. ↵
    1. Beury DW,
    2. Parker KH,
    3. Nyandjo M,
    4. Sinha P,
    5. Carter KA and
    6. Ostrand-Rosenberg S
    : Cross-talk among myeloid-derived suppressor cells, macrophages, and tumor cells impacts the inflammatory milieu of solid tumors. J Leukoc Biol 96(6): 1109-1118, 2014. PMID: 25170116. DOI: 10.1189/jlb.3A0414-210R
    OpenUrlCrossRefPubMed
  26. ↵
    1. Rooney MS,
    2. Shukla SA,
    3. Wu CJ,
    4. Getz G and
    5. Hacohen N
    : Molecular and genetic properties of tumors associated with local immune cytolytic activity. Cell 160(1-2): 48-61, 2015. PMID: 25594174. DOI: 10.1016/j.cell.2014.12.033
    OpenUrlCrossRefPubMed
  27. ↵
    1. Bareche Y,
    2. Buisseret L,
    3. Gruosso T,
    4. Girard E,
    5. Venet D,
    6. Dupont F,
    7. Desmedt C,
    8. Larsimont D,
    9. Park M,
    10. Rothé F,
    11. Stagg J and
    12. Sotiriou C
    : Unraveling triple-negative breast cancer tumor microenvironment heterogeneity: Towards an optimized treatment approach. J Natl Cancer Inst 112(7): 708-719, 2020. PMID: 31665482. DOI: 10.1093/jnci/djz208
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

Anticancer Research
Vol. 41, Issue 8
August 2021
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Anticancer Research.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Prognostic Factors for Advanced/Recurrent Breast Cancer Treated With Immune-cell Therapy
(Your Name) has sent you a message from Anticancer Research
(Your Name) thought you would like to see the Anticancer Research web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
2 + 3 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Prognostic Factors for Advanced/Recurrent Breast Cancer Treated With Immune-cell Therapy
RISHU TAKIMOTO, TAKASHI KAMIGAKI, SACHIKO OKADA, HIROSHI IBE, ERI OGUMA, SHIGENORI GOTO
Anticancer Research Aug 2021, 41 (8) 4133-4141; DOI: 10.21873/anticanres.15216

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Prognostic Factors for Advanced/Recurrent Breast Cancer Treated With Immune-cell Therapy
RISHU TAKIMOTO, TAKASHI KAMIGAKI, SACHIKO OKADA, HIROSHI IBE, ERI OGUMA, SHIGENORI GOTO
Anticancer Research Aug 2021, 41 (8) 4133-4141; DOI: 10.21873/anticanres.15216
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Patients and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Homologous Recombination Defects and Mutations in DNA Damage Response (DDR) Genes Besides BRCA1 and BRCA2 as Breast Cancer Biomarkers for PARP Inhibitors and Other DDR Targeting Therapies
  • Efficacy of Adjuvant Immune-cell Therapy Combined With Systemic Therapy for Solid Tumors
  • Google Scholar

More in this TOC Section

  • The Posterior First Approach in Robot-assisted Radical Prostatectomy for Prostate Cancer Reduces Positive Surgical Margins on the Bladder Neck Side
  • Gamma Knife Radiotherapy of Brain Metastasis Resection Cavities: Outcome Analysis of a Single-center Cohort
  • Efficacy and Safety of Chemoimmunotherapy in Patients With Advanced Non-small Cell Lung Cancer With Pre-existing Interstitial Pneumonia and Low PD-L1 Expression
Show more Clinical Studies

Similar Articles

Keywords

  • immune-cell therapy
  • Breast cancer
  • prognostic factors
  • αβT cell therapy
  • Dendritic cell vaccine
Anticancer Research

© 2025 Anticancer Research

Powered by HighWire