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. 2022 Sep 15;38(3):205–212. doi: 10.5146/tjpath.2021.01559

Invasive Breast Carcinoma of No Special Type with Medullary Pattern: Morphological and Immunohistochemical Features

Mykola Lyndin 1, Nataliia Hyriavenko 1, Vladyslav Sikora 1,*, Yuliia Lyndina 1, Yuliia Soroka 2, Anatolii Romaniuk 1
PMCID: PMC10508404  PMID: 34636027

Abstract

Objective: Our study investigated the morphological and immunohistochemical characteristics of invasive breast carcinoma of no special type (IBC-NST) with medullary pattern to explore the inconsistencies between the structural and clinical traits of this category of tumor.

Material and Method: The breast carcinoma samples (n = 26) with medullary pattern (defined according to established criteria) were subjected to immunohistochemical assays of the following receptors: ER, PR, HER2/neu, Ki-67, p53, Bcl-2, VEGF, MMP1, E-cadherin, EGFR, Hsp70, Hsp90, CD20, CD3, CD4, CD8, CD68, CD163, CD56, CD138, MPO, S100, IgG, IgM, and PD-L1.

Results: IBC-NST with medullary pattern was found to have negative expression of ER, PR, and HER2/neu; strong positive expression of Kі-67, mutant р53, Bcl-2, E-cadherin, EGFR, and PD-L1; moderate positive expression of Hsp70 and Hsp90; and low or negative expression of VEGF and MMP1. Furthermore, there was pronounced variability in the qualitative composition of tumor immune infiltrates with regards to T-lymphocytes, B-lymphocytes, macrophages, plasmocytes, and granulocytes.

Conclusion: IBC-NST with medullary pattern has many unfavourable morphological and immunohistochemical prognostic characteristics, which are balanced against the pronounced protective properties of the tumor cells and the qualitative characteristics of the tumor microenvironment. These can lead to a favourable disease course despite the relatively adverse features of the carcinoma cells.

Keywords: Breast carcinoma, Triple negative breast cancer, Medullary carcinoma, Tumor microenvironment, Tumor infiltrating lymphocyte

INTRODUCTION

Breast carcinoma (ВС) is the most common malignancy worldwide, accounting for 11.7% of all cancer cases, with a prevalence of up to 24.5% among women. Despite detection being possible at increasingly earlier stages, the BC mortality rate remains relatively high (accounting for 6.9% of all oncological deaths among both genders) (1). The course of the disease, treatment sensitivity, and prognosis depend on the tumor histological type, grade, stage, vascular invasion, immunophenotype of neoplastic cells, and tumor microenvironment (2). Until recently, medullary carcinoma was considered the most favourable variant of BC (3). In the latest World Health Organisation (WHO) classification of breast tumors, published in 2018, this type of carcinoma was included in the category of invasive BC of no special type (IBC-NST). Now it has name IBC-NST with medullary pattern or tumor -infiltrating lymphocytes (TILs) rich IBC-NST (2,4).

IBC-NST is well-defined and has a syncytial growth pattern with no glandular structures of high histological grade as well as prominent TILs (2,5). Cases are mainly triple-negative without expression of the еstrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2/neu). Pronounced proliferative activity of tumor cells and expression of tumor SUPPRESOR protein р53 are commonly observed (5). However, despite the potentially unfavourable histological features, IBC-NST with medullary pattern has a relatively good prognosis (2,6,7); notably, this has been associated with the qualitative features of the tumor microenvironment (TILs) and pronounced tumor cell adhesion (involving E-cadherin expression) and absence of matrix metalloproteinase-1 (MMP1) (2,5,6).

The favourable course of this high-grade carcinoma has not been explained by the presence or absence of the abovementioned proteins. Further studies are required to explain the inconsistencies between the morphological and clinical features of IBC-NST with medullary pattern.

MATERIALS and METHODS

Patients and Samples

Cases of IBC-NST with medullary pattern (n = 26) were identified among patients who underwent mastectomy and sectoral resection of the breast from 2010 to 2020 at the Surgical Department of the Sumy Regional Oncology Centre in Ukraine. Samples were included in the study group if they met the following criteria: 1) well-defined tumor contours with a peripheral pseudocapsule; 2) syncytia formation in >75% of the tumor area; 3) absence of tubular and glandular tumor features; 4) pronounced lymphoplasmacytic stromal infiltration; 5) high histological grade; 6) absence of metastases; and 7) absence of ER, PR, and HER2/neu expression (2,5). Written informed consent for tissue investigation was obtained from all patients. The Bioethics Commission of the Medical Institute of Sumy State University approved the experimental protocol (no. 5/2 from 12.02.2017).

Immunohistochemical Assay

Paraffin-block samples stored for histological diagnosis were used in the immunohistochemical assay following the method detailed in our previous publication (8). The antibody panels (purchased from Thermo Scientific, Master Diagnóstica, and Abcam) shown in Table 1 were employed to establish the parenchymal and stromal components of the immunophenotype of IBC-NST with medullary pattern.

Table 1.

Antibody panel used for immunohistochemical study.

Antibody

Host

Clone

Pattern

ER*

Rabbit

SP1

Nucleus

PR*

Rabbit

YR85

Nucleus

HER2/neu*

Rabbit

SP3

Membrane

Ki-67*

Rabbit

SP6

Nucleus

p53*

Mouse

SP5

Nucleus

Bcl-2*

Mouse

100/D5

Cytoplasm

VEGF*

Rabbit

Polyclon

Cytoplasm

MMP1*

Rabbit

Polyclon

Cytoplasm

E-cadherin*

Rabbit

67A4

Membrane

EGFR*

Rabbit

EP38Y

Membrane

Hsp90*

Rabbit

Polyclon

Cytoplasm, nucleus

Hsp70*

Mouse

W27

Cytoplasm, nucleus

CD20*

Mouse

L26

Membrane, cytoplasm

CD3*

Rabbit

SP7

Membrane, cytoplasm

CD4**

Rabbit

EP204

Membrane, cytoplasm

CD8**

Rabbit

SP16

Membrane, cytoplasm

CD68*

Mouse

KP1

Cytoplasm

CD163**

Rabbit

EP324

Membrane, cytoplasm

CD56***

Mouse

123C3

Membrane, cytoplasm

CD138**

Rabbit

EP201

Membrane, cytoplasm

MPO*

Rabbit

Polyclon

Cytoplasm

S100*

Mouse

4C4.9

Cytoplasm

IgG*

Rabbit

Polyclon

Cytoplasm

IgM*

Rabbit

Polyclon

Cytoplasm

PD-L1**

Rabbit

CAL10

Membrane

Thermo Scientific*, Master Diagnóstica**, Abcam***

Evaluation of Staining

Two pathologists independently analysed the immunohistochemical staining evaluations and reached a consensus decision when necessary. The reaction was considered positive if the cells had cytoplasmic and/or nuclear expression of heat-shock protein 70 (Hsp70) and 90 (Hsp90); cytoplasmic and/or membranous expression of CD20, CD3, CD4, CD8, CD163, CD56, and CD138; exclusively nuclear expression of ER, PR, Ki-67, and tumor SUPPRESOR protein p53; exclusively cytoplasmic expression of Bcl-2, VEGF, MMP1, CD68, MPO, S100, IgG, and IgM; and exclusively membranous expression of HER2/neu, EGFR, and E-cadherin. To determine the pattern of receptor expression, we used a simplified 3-tiered scoring system: “-” – negative expression (0% immunoreactive cells); “+” – low expression (5–25% immunoreactive cells); “++” – moderate expression (26–50% immunoreactive cells); “+++” – high expression (>50% immunoreactive cells). Only the p53 nuclear expression pattern was considered as positive or negative staining. Ki-67, Hsp70 and Hsp90 expression were scored in percentage. The percentage of receptor-positive cells among the total number of tumor cells was scored. The intensity of the stained cells was considered separately. PD-L1 expression was considered positive in the presence of more than 1% of carcinoma cells showing membranous staining of any intensity. This scoring sheet was discussed with and approved by two pathologists prior to the start of the study. No morphologic features of the cancer were taken into account in this scoring. Data processing was carried out using the GraphPad Prism 9 statistics software. Detection and evaluation of the links among indicators were carried out using the nonparametric Spearman’s rank correlation coefficient (r). A p-value of 0.05 (95% level of confidence) was considered statistically significant.

RESULTS

The results of the immunohistochemical study showed that all cases of IBC-NST with medullary pattern were ER-, PR- and HER2-negative. At the same time, pronounced proliferative activity (nuclear Kі-67 expression in 78.4±4.6% of tumor cells), mutant р53 expression (nuclear expression in 92% of cases), and hyperproduction of anti-apoptotic Bcl-2 protein (cytoplasmic expression) were observed in all cases (Figure 1). Besides the neoplastic cells, some cells of the immune infiltrate of the tumor microenvironment were Kі-67- and Bcl-2-positive.

Figure 1.

Figure 1

IBC-NST with medullary pattern: a pronounced expression of Ki-67, p53, and bcl-2 in tumoral cells (A); immune microenvironment cells (Ki-67- and bcl-2-positive expression) (B). Immunohistochemical study of Ki-67, p53, and bcl-2; x200.

All cases of IBC-NST with medullary pattern had strong (immunoexpression in more than 50% of tumor cells) membranous expression of E-cadherin, EGFR, and PD-L1 in the cancer cells (Figure 2). Moderate positive nuclear and cytoplasmic expression of Hsp70 and Hsp90 was observed in 74±6.3% and 68±5.7% of the tumor cells, respectively. Simultaneously, the majority of the tumor cells were either negative or had low (weak expression in less than 25% of tumor cells) VEGF and MMP1 cytoplasmic expression (Table 2).

Figure 2.

Figure 2

IBC-NST with medullary pattern: a pronounced expression of E-cadherin, EGFR, and PD-L1; moderate expression of hsp70 and hsp90; week expression of MMP1 and VEGF; negative expression of MPO in tumoral cells, positive in scattered cells of microenvironment. Immunohistochemical study of E-cadherin, EGFR, hsp70, hsp90, VEGF, MMP1, PD-L1, and MPO ; x400.

Table 2.

Protein expressions in IBC-NST with medullary pattern.

 

ER

PR

HER2

Ki-67

(% of cells)

P53

Bcl-2

E-cadherin

EGFR

PD-L1

Hsp70

(% of cells)

Hsp90

(% of cells)

VEGF

MMP1

1

75

+

+++

+++

+++

+++

82

67

+

2

78

+

+++

+++

+++

+++

69

72

+

3

80

+

++

+++

+++

+++

63

77

4

83

+

+++

+++

+++

+++

78

60

+

5

80

+

+++

+++

+++

+++

82

78

6

87

+

++

+++

+++

+++

83

63

7

77

+

+++

+++

+++

+++

74

65

+

+

8

82

+

+++

+++

+++

++

67

69

9

70

+

+++

+++

+++

+++

63

67

10

86

+

++

+++

+++

+++

73

65

+

11

79

+

+++

+++

+++

+++

81

71

12

85

+

+++

+++

+++

+++

76

64

+

13

81

+

+++

+++

+++

+++

83

65

14

84

+

+++

+++

+++

+++

67

60

15

81

+

++

+++

+++

+++

69

64

+

16

75

+

+++

+++

+++

++

78

63

17

71

++

+++

+++

++

71

72

18

78

+

+++

+++

+++

+++

71

71

19

76

+

+++

+++

+++

+++

75

70

+

20

80

+

+++

+++

+++

+++

70

57

+

21

76

+

+++

+++

+++

++

82

71

22

77

+

+++

+++

+++

+++

81

67

23

70

++

+++

+++

+++

71

80

+

24

74

+

+++

+++

+++

+++

80

75

+

25

74

+

+++

+++

+++

+++

74

65

26

80

+

+++

+++

+++

+++

68

70

+

The immunostaining of sections was semi-quantitatively scored as: “-” – negative expression (0% immunoreactive cells); “+” – low expression (5–25% immunoreactive cells); “++” – moderate expression (26–50% immunoreactive cells); “+++” – high expression (>50% immunoreactive cells). Only the p53 nuclear expression pattern was considered as positive or negative staining. Ki-67, Hsp70 and Hsp90 expression were scored in percentage

We focused on studying the qualitative composition of the tumor microenvironment of IBC-NST with medullary pattern. Immunohistochemical analysis of the expression of CD20 (B-lymphocytes), CD3 (T-lymphocytes), CD4 (T-helper cells), CD8 (T-killer cells), CD56 (natural killer cells), CD138 (plasmocytes), CD68, S100, and CD163 (macrophages), MPO (granulocytes), IgG, and IgM revealed the specific features of the immune infiltrate (Figure 2 Figure 3 Figure 4).

Figure 3.

Figure 3

IBC-NST with medullary pattern: Immunohistochemical study of CD20, CD3, CD4, CD8, CD56, CD138, IgG, and IgM ; x400.

Figure 4.

Figure 4

IBC-NST with medullary pattern: Immunohistochemical study of CD68, S100, and CD163; x400.

The tumor immune-infiltrate microenvironment mainly comprised T-lymphocytes (44% of immune cells) with a relatively low number of B-lymphocytes, macrophages, plasmocytes, and granulocytes (13%, 22%, 9%, and 3% of immune cells, respectively). T-helper cells (CD4+ cells), with a relatively small number of T-killer cells (CD8+ cells) and NK cells (CD56+ cells), were observed among the T-lymphocytes (Figure 3). The tumor microenvironment contained single and grouped plasmocytes, which reached a prevalence of about 8% of the immune-cell infiltrate in some cases. Most B-lymphocytes and plasmocytes showed IgG expression, and some showed IgM expression.

Macrophages (CD68+ cells) were present in significant numbers both among tumor cells and in the immune infiltrate (Figure 4). It should be noted that their active forms (S100+ cells) were mainly localised among the cancer cells. A significant population of M2 macrophages (CD163+ cells) was identified, and they were diffused throughout all the components of the neoplastic tissue.

The scores for each cell type in the tumor microenvironment showed the following ratios: CD3+:CD20+:CD138+:CD56+:CD68+:MPO = 0.44: 0.13: 0.09: 0.09: 0.22: 0.03.

DISCUSSION

The malignancy of tumors is determined by various factors, including morphological and molecular-genetic features of the affected tissues (2,5,7,8). The qualitative composition of the tumor microenvironment is of particular interest (5,6,9,10). Here we focused on IBC-NST with medullary pattern, which has unique favourable prognostic features with simultaneous high-grade tumor growth (2,5–7).

Our study investigated the immunohistochemical features of IBC-NST with medullary pattern to explain the inconsistency between the morphological and clinical characteristics of this tumor type. We found that the cancer cells had pronounced proliferative activity (Kі-67 expression), and blocked both natural and drug-induced apoptosis (p53 and Bcl-2 expression), as well as the expression of unfavourable proteins (EGFR, Hsp70, Hsp90, and PD-L1) that induce progression of the neoplastic process (8,9,11–13). At the same time, the cells were ER and PR-negative. In contrast, most of the tumor cells had no HER2/neu expression, low VEGF and MMP1 expression (weak expression in less than 25% of tumor cells), and high E-cadherin expression (strong expression in more than 50% of tumor cells), which indicated a favourable course of the carcinoma (14–17).

Our results showed pronounced variability in the qualitative composition of the tumor microenvironment of IBC-NST with medullary pattern. This was represented mainly by TILs, which were predominantly T-lymphocytes and, in particular, CD4+ cells. Simultaneously, significant numbers of CD8+ T-cells, NK cells, В-lymphocytes, and plasmocytes were found in the immune infiltrate. Furthermore, the neoplastic tissue was infiltrated with a significant quantity of macrophages. Notably, most of the activated macrophages (S100+ cells) were in close contact with cancer cells. At the same, a significant number of M2 macrophages (CD163+ cells) were found in the tumor microenvironment, which could have an unfavourable adverse effect on the course of the neoplastic process (5,9,18,19).

From the abovementioned findings, we concluded that the unique course of IBC-NST with medullary pattern is determined by several factors (Figure 5). This tumor type was characterized by a combination of both aggressive and favourable immunophenotypic features of cancer cells and the immune microenvironment. On the one hand, ER and PR were absent in the tumor tissue; there was a high proliferative index; overexpression of p53, Bcl-2, EGFR, hsp70, hsp90, and PD-L1; and significant numbers of M2 macrophages. On the other hand, there were insufficient amounts of pro-metastatic proteins (VEGF and MMP1); an absence of HER2/neu expression; and the severe adhesive capacity of tumor cells prevented local and remote tumor spread. The activation of cellular (macrophages, CD4+ and CD8+ T-cells, and NK cells) and humoral (activated macrophages, B-lymphocytes, CD4+ T-cells, plasmocytes, and IgG synthesis) local immune responses limited the spread of the disease.

Figure 5.

Figure 5

Interaction of protective and aggressive factors in IBCNST with medullary pattern.

In IBC-NST with medullary pattern, the favourable factors (protection indicators) mostly surpassed the adverse influences. This led to a favourable prognosis for the course of the malignant process, despite the numerous negative morphological and immunohistochemical features of the parenchymal and stromal tumor components.

In summary, IBC-NST with medullary pattern has many prognostically unfavourable morphological and immunohistochemical characteristics, which are balanced by the pronounced protective properties of the tumor cells and the qualitative traits of the tumor microenvironment. This leads to a favourable course for this carcinoma despite the relatively adverse features of the cancer cells.

Conflict of Interest

The authors declare that they have no competing interests.

Informed Consent

Written informed consent was obtained from patients who participated in this study.

Acknowledgments

This research was supported by the Ministry of Education and Science of Ukraine Grant № 0121U100472 and research theme № 0119U100887.

References

  1. Sung Hyuna, Ferlay Jacques, Siegel Rebecca L., Laversanne Mathieu, Soerjomataram Isabelle, Jemal Ahmedin, Bray Freddie. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. May;2021 CA Cancer J Clin. 71:209–249. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
  2. Board WHO Classification of Tumours Editorial., editor. Breast Tumours: WHO Classification of Tumours. World Health Organization; Geneva: [Google Scholar]
  3. Lakhani S. R., , Ellis I. O., , Schnitt Stuart J., Tan PH, , van de Vijver MJ, , editors. WHO classification of tumours of the breast. IARC Press; Lyon: [Google Scholar]
  4. Tan Puay Hoon, Ellis Ian, Allison Kimberly, Brogi Edi, Fox Stephen B., Lakhani Sunil, Lazar Alexander J., Morris Elizabeth A., Sahin Aysegul, Salgado Roberto, Sapino Anna, Sasano Hironobu, Schnitt Stuart, Sotiriou Christos, Diest Paul, White Valerie A., Lokuhetty Dilani, Cree Ian A., WHO Classification of Tumours Editorial Board The 2019 World Health Organization classification of tumours of the breast. Aug;2020 Histopathology. 77:181–185. doi: 10.1111/his.14091. [DOI] [PubMed] [Google Scholar]
  5. Romaniuk Anatoli, Lyndin Mykola, Sikora Vladyslav, Lyndina Yuliia, Panasovska Kateryna. Histological and immunohistochemical features of medullary breast cancer. 2015Folia Med Cracov. 55:41–48. [PubMed] [Google Scholar]
  6. Lim Kok Haw Jonathan, Telisinghe Premasiri Upali, Abdullah Muhd Syafiq, Ramasamy Ranjan. Possible significance of differences in proportions of cytotoxic T cells and B-lineage cells in the tumour-infiltrating lymphocytes of typical and atypical medullary carcinomas of the breast. Jan;2010 Cancer Immun. 10:3–3. [PMC free article] [PubMed] [Google Scholar]
  7. Martinez Steve R., Beal Shannon H., Canter Robert J., Chen Steven L., Khatri Vijay P., Bold Richard J. Medullary carcinoma of the breast: a population-based perspective. Sep;2011 Med Oncol. 28:738–744. doi: 10.1007/s12032-010-9526-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Romaniuk Anatolii, Lyndin Mykola, Moskalenko Roman, Kuzenko Yevhen, Gladchenko Oksana, Lyndina Yuliia. Pathogenetic mechanisms of heavy metals effect on proapoptotic and proliferative potential of breast cancer. Jun;2015 Interv Med Appl Sci. 7:63–68. doi: 10.1556/1646.7.2015.2.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Binnewies Mikhail, Roberts Edward W., Kersten Kelly, Chan Vincent, Fearon Douglas F., Merad Miriam, Coussens Lisa M., Gabrilovich Dmitry I., Ostrand-Rosenberg Suzanne, Hedrick Catherine C., Vonderheide Robert H., Pittet Mikael J., Jain Rakesh K., Zou Weiping, Howcroft T. Kevin, Woodhouse Elisa C., Weinberg Robert A., Krummel Matthew F. Understanding the tumor immune microenvironment (TIME) for effective therapy. May;2018 Nat Med. 24:541–550. doi: 10.1038/s41591-018-0014-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Romanjuk Anatolij, Lyndin Mykola, Moskalenko Roman, Gortinskaya Olena, Lyndina Yuliya. The Role of Heavy Metal Salts in Pathological Biomineralization of Breast Cancer Tissue. Oct;2016 Adv Clin Exp Med. 25:907–910. doi: 10.17219/acem/34472. [DOI] [PubMed] [Google Scholar]
  11. Nicholson R. I., Gee J. M., Harper M. E. EGFR and cancer prognosis. Sep;2001 Eur J Cancer. 37 Suppl 4:S9–15. doi: 10.1016/s0959-8049(01)00231-3. [DOI] [PubMed] [Google Scholar]
  12. Zhang Minghui, Sun Houbin, Zhao Shu, Wang Yan, Pu Haihong, Wang Yan, Zhang Qingyuan. Expression of PD-L1 and prognosis in breast cancer: a meta-analysis. May;2017 Oncotarget. 8:31347–31354. doi: 10.18632/oncotarget.15532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Dimas Dionysios Th, Perlepe Christina D., Sergentanis Theodoros N., Misitzis Ioannis, Kontzoglou Konstantinos, Patsouris Efstratios, Kouraklis Gregory, Psaltopoulou Theodora, Nonni Afroditi. The Prognostic Significance of Hsp70/Hsp90 Expression in Breast Cancer: A Systematic Review and Meta-analysis. Mar;2018 Anticancer Res. 38:1551–1562. doi: 10.21873/anticanres.12384. [DOI] [PubMed] [Google Scholar]
  14. Weigel Marion T., Dowsett Mitch. Current and emerging biomarkers in breast cancer: prognosis and prediction. Dec;2010 Endocr Relat Cancer. 17:R245–262. doi: 10.1677/ERC-10-0136. [DOI] [PubMed] [Google Scholar]
  15. Fanjul-Fernández Miriam, Folgueras Alicia R., Fueyo Antonio, Balbín Milagros, Suárez María F., Fernández-García M. Soledad, Shapiro Steven D., Freije José M. P., López-Otín Carlos. Matrix metalloproteinase Mmp-1a is dispensable for normal growth and fertility in mice and promotes lung cancer progression by modulating inflammatory responses. May;2013 J Biol Chem. 288:14647–14656. doi: 10.1074/jbc.M112.439893. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Younis Layla Kamal, El Sakka Hala, Haque Imranul. The Prognostic Value of E-cadherin Expression in Breast Cancer. Jan;2007 Int J Health Sci (Qassim) 1:43–51. [PMC free article] [PubMed] [Google Scholar]
  17. Adams J., Carder P. J., Downey S., Forbes M. A., MacLennan K., Allgar V., Kaufman S., Hallam S., Bicknell R., Walker J. J., Cairnduff F., Selby P. J., Perren T. J., Lansdown M., Banks R. E. Vascular endothelial growth factor (VEGF) in breast cancer: comparison of plasma, serum, and tissue VEGF and microvessel density and effects of tamoxifen. Jun;2000 Cancer Res. 60:2898–2905. [PubMed] [Google Scholar]
  18. Zgura Anca, Galesa Laurentia, Bratila Elvira, Anghel Rodica. Relationship between Tumor Infiltrating Lymphocytes and Progression in Breast Cancer. Dec;2018 Maedica (Bucur) 13:317–320. doi: 10.26574/maedica.2018.13.4.317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Jeong Hasong, Hwang Ilseon, Kang Sun Hee, Shin Hyeong Chan, Kwon Sun Young. Tumor-Associated Macrophages as Potential Prognostic Biomarkers of Invasive Breast Cancer. Mar;2019 J Breast Cancer. 22:38–51. doi: 10.4048/jbc.2019.22.e5. [DOI] [PMC free article] [PubMed] [Google Scholar]

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