| Literature DB >> 32747636 |
Iman Mamdouh Talaat1,2,3, Mahmood Yaseen Hachim4, Ibrahim Yaseen Hachim5,6, Ramez Abd El-Razak Ibrahim7, Mohamed Abd El Rahman Ahmed8, Hanan Yehia Tayel9.
Abstract
Despite all the advances in the management of breast cancer (BC), patients with distance metastasis are still considered incurable with poor prognosis. For that reason, early detection of the metastatic lesions is crucial to improve patients' life span as well as quality of life. Many markers were proposed to be used as biomarkers for metastatic BC lesions, however many of them lack organ specificity. This highlights the need for novel markers that are more specific in detecting disseminated BC lesions. Here, we investigated mammaglobin-1 expression as a potential and specific marker for metastatic BC lesions using our patient cohort consisting of 30 newly diagnosed BC patients. For all patients, bone marrow (BM) aspiration, BM biopsy stained by H&E and BM immunohistochemically stained for mammaglobin-1 were performed. In addition, the CA15-3 in both serum and bone marrow plasma was also evaluated for each patient. Indeed, mammaglobin-1 immuno-staining was able to detect BM micrometastases in 16/30 patients (53.3%) compared to only 5/30 patients (16.7%) in BM biopsy stained by H&E and no cases detected by BM aspirate (0%). In addition, our results showed a trend of association between mammaglobin-1 immunoreactivity and the serum and BM plasma CA15-3. Further validation was done using large publicly available databases. Our results showed that mammaglobin-1 gene expression to be specifically upregulated in BC patients' samples compared to normal tissue as well as samples from other cancers. Moreover, our findings also showed mammaglobin-1 expression to be a marker of tumour progression presented as lymph nodes involvement and distant metastasis. These results provide an initial evidence for the use of mammaglobin-1 (SCGB2A2) immunostaining in bone marrow as a tool to investigate early BM micrometastases in breast cancer.Entities:
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Year: 2020 PMID: 32747636 PMCID: PMC7400628 DOI: 10.1038/s41598-020-70012-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
The distribution of BMA, H&E stained BMB and mammaglobin-1 IHC staining in our patient cohort.
| Technique | No. of cases | % | |
|---|---|---|---|
| 0.0013* | |||
| Positive | 0 | 0.0 | |
| Negative | 30 | 100.0 | |
| Suspicious | 5 | 16.7 | |
| Negative | 25 | 83.3 | |
| Positive | 16 | 53.3 | |
| Negative | 14 | 46.7 | |
Figure 1Representative pictures of the H&E and mammaglobin-1 IHC staining. (A) Positive case of metastatic invasive ductal carcinoma (IDC), the neoplastic epithelial cells forming nests in the fibrous stroma of the bone marrow (H&E, × 100). (B) Suspicious case of metastatic IDC shows hypercellularity and numerous inflammatory cells (plasma cells, histocytes and eosinophils) (H&E, × 400). (C) Suspicious case of metastatic breast carcinoma showing inflammatory infiltrates (plasma cells and eosinophils) (H&E, × 400). (D) The same case shown in C revealing brown cytoplasmic staining of mammaglobin-1 (positive stain) (Immunoperoxidase, × 400).
The association between mammaglobin-1 bone marrow immunoreactivity and different clinicopathological parameters.
| Mammaglobin-1 bone marrow immunoreactivity | ||||
|---|---|---|---|---|
| Positive | Negative | % of Positive | ||
| Negative | 13 | 12 | 52 | |
| Positive | 4 | 1 | 80 | |
| Invasive ductal carcinoma | 11 | 11 | 50 | |
| Invasive lobular carcinoma | 5 | 3 | 62.5 | |
| Stages 0,1 | 3 | 5 | 37.5 | |
| Stages 2,3 | 13 | 9 | 59.09 | |
| LN negative | 3 | 7 | 30 | |
| LN positive | 13 | 7 | 65 | |
| Grade I | 0 | 3 | 0 | |
| Grade II | 4 | 6 | 40 | |
| Grade III | 7 | 2 | 77 | |
*8 cases were lobular carcinoma, so they were not included in the grading system.
Descriptive statistics for serum and BM plasma CA15-3.
| Serum CA15-3 | BM plasma CA15-3 | |
|---|---|---|
| Range | 3.7–61 | 3.9–61.5 |
| Mean | 19.79 | 19.87 |
| S.D | 13.65 | 13.78 |
| T | 0.98 | |
| p | 0.452 | |
Relation between serum and BM plasma CA15-3 and mammaglobin-1 IHC.
| N | Mean | S.D | Min | Max | t-test | ||
|---|---|---|---|---|---|---|---|
| Mammaglobin-1 IHC negative | 14 | 17.2929 | 5.95502 | 7.60 | 27.80 | 0.874 | 0.358 |
| Mammaglobin-1 IHC positive | 16 | 21.9750 | 17.85208 | 3.70 | 61.00 | ||
| Mammaglobin-1 IHC negative | 14 | 17.5143 | 5.82288 | 7.80 | 27.80 | 0.759 | 0.391 |
| Mammaglobin-1 IHC positive | 16 | 21.9250 | 18.10972 | 3.90 | 61.50 | ||
Figure 2Mammaglobin-1 (SCGB2A2) expression in different normal as well as malignant tissues. (A) SCGB2A2 gene expression levels in different healthy body tissue using human protein atlas database. (B) SCGB2A2 gene expression levels in 1,500 cancer cases from different organs using Bittner multicancer dataset from the ONCOMINE database. (C) MUC1 gene expression levels in 1,500 cancer cases from different organs using Bittner multicancer dataset from the ONCOMINE database. (D) SCGB2A2 gene expression and its association with breast cancer subtypes according to Hu and PAM50 classification using 1881 breast cancer cases of GOBO database.
Figure 3Mammaglobin-1 (SCGB2A2) gene expression in association with tumor progression. (A) Mammaglobin-1 and MUC1 gene expression and their association with tumor stage using Curtis dataset of ONCOMINE database. (B) Mammaglobin-1 gene expression and MUC1 its association with LN involvement using Lu dataset of ONCOMINE database. (C) Mammaglobin-1 gene expression and MUC1 its association with presence or absence of distant metastasis using Brittner dataset of ONCOMINE database.
Figure 4Mammaglobin-1 (SCGB2A2) gene expression in disseminated tumour cells (DTCs) compared to metastatic tumour cells (MTCs). (A) SCGB2A2 gene expression according to different metastatic sites in breast cancer using Minn dataset of ONCOMINE database. (B)The gene expression levels of SCGB2A2 in patients’ derived xenograft (PDX) of mice with BM metastasis compared to primary tumors using (GSE57947) dataset. (C)The gene expression levels of SCGB2A2 in DTCs compared to MTCs obtained from (GSE14776). (D)The Pearson’s correlation plot between SCGB2A2 and MUC1 gene expression levels in BC samples using BC Gene-Expression Miner v4.0 database. (E) The expression levels of SCGB2A2 in BC samples stratified according to MUC1 gene expression levels using BC Gene-Expression Miner v4.0 database.