SCGB2A2 (Mammaglobin-A) is a 93-amino acid protein with a molecular weight of 10.5 kDa, belonging to the secretoglobin superfamily. These proteins are small, dimeric, and often involved in mucosal immune responses and steroid hormone transport . The SCGB2A2 antibody specifically binds to this protein, enabling its detection in clinical and research settings.
In bone marrow (BM) biopsies, SCGB2A2 immunohistochemistry outperformed traditional methods:
| Method | Detection Rate in Breast Cancer Patients |
|---|---|
| H&E Staining | 16.7% (5/30) |
| SCGB2A2 Immunostaining | 53.3% (16/30) |
This highlights its utility in identifying early BM micrometastases, correlating with elevated CA15-3 biomarkers .
Quantitative RT-PCR and northern blot studies reveal:
Tissue Specificity: SCGB2A2 mRNA is highly expressed in breast tumors but absent in most normal tissues except mammary glands .
Cell Line Data: Expression is restricted to breast cancer cell lines (e.g., ZR-75.1), with no activity in non-breast lines .
| Gene | Primer Sequence | Product Size |
|---|---|---|
| SCGB2A2 | 5'-GAACACCGACAGCAGCA-3' (F) | 104 bp |
| 5'-TCTCCAATAAGGGGCAGCC-3' (R) | ||
| SCGB1D2 | 5'-CTGAGCTCACAGCAAAAC-3' (F) | 105 bp |
| 5'-GAGCTGGGCAGAAC-3' (R) |
Diagnostic Utility: SCGB2A2 antibodies are used to distinguish breast cancer metastases from other malignancies, given their near-exclusive expression in mammary tissue .
Prognostic Value: Higher SCGB2A2 levels correlate with lymph node involvement and distant metastasis .
While SCGB2A2 antibodies exhibit high specificity, false negatives may occur in triple-negative breast cancers lacking hormone receptors. Ongoing research aims to optimize protocols for circulating tumor cell (CTC) detection and combination therapies targeting the SCGB2A2-lipophilin B complex .
SCGB2A2 (Secretoglobin Family 2A Member 2) is a protein-coding gene that belongs to the secretoglobin superfamily. It encodes Mammaglobin A, a 93-amino acid protein with a calculated molecular weight of approximately 10.5 kDa . Previous HGNC symbols for this gene include MGB1 and PSBP1 . It has highly specific expression in breast cancer cells and has become one of the most specific markers for breast cancer detection and for identifying circulating tumor cells (CTCs) and micrometastases .
Key characteristics of SCGB2A2:
SCGB2A2 is predominantly expressed in breast tissue, both normal and malignant
High expression is observed in most breast cancers (approximately 80% sensitivity)
Low-level expression has been detected in some normal tissues beyond the breast
Up to 15% of non-breast carcinomas may show focal positivity, including tumors from stomach, lung, colon, hepatobiliary, thyroid, ovarian, and urothelial origins
In a study using multiple tissue northern blots and cancer profiling arrays, researchers found that while SCGB2A2 expression is highest in breast tissue, it is not absolutely breast-specific . Quantitative RT-PCR confirmed expression in the ZR-75.1 breast cancer cell line but not in five other breast cancer cell lines or five non-breast cancer cell lines tested .
Various types of SCGB2A2 antibodies are available for research, including:
Each antibody has been validated for specific applications and may have different sensitivities and specificities.
Optimal conditions for SCGB2A2 antibody use in immunohistochemistry include:
Antigen retrieval methods:
Recommended dilutions:
Detection systems:
For human breast cancer tissue samples, an example protocol used:
Positive control tissues:
For quantitative RT-PCR measurement of SCGB2A2 expression, consider the following experimental design:
Primer and probe design:
Use validated primers and probes such as:
| Component | Sequence | Product Size |
|---|---|---|
| SCGB2A2 Forward Primer | 5'-GAACACCGACAGCAGCA-3' | 104 bp |
| SCGB2A2 Reverse Primer | 5'-TCTCCAATAAGGGGCAGCC-3' | |
| SCGB2A2 TaqMan Probe | 5'-TGGTCCTCATGCTGGCGGCC-3' | |
| GAPDH Forward Primer (control) | 5'-GAAGGTGAAGGTCGGAGTC-3' | 226 bp |
| GAPDH Reverse Primer (control) | 5'-GAAGATGGTGATGGGATTTC-3' | |
| GAPDH TaqMan Probe (control) | 5'-CAAGCTTCCCGTTCTCAGCC-3' |
RNA extraction and cDNA synthesis:
Extract total RNA using standard methods
For each cDNA synthesis, use 1 μg of RNA
Reverse transcribe using a reliable system (e.g., Superscript II Reverse Transcription System)
Controls:
Include GAPDH as an internal control for normalization
Use ZR-75.1 cells as a positive control (known to express SCGB2A2)
Include negative controls (cell lines known not to express SCGB2A2)
Consider analyzing both normal and malignant breast tissue samples for comparison
Data analysis:
Normalize SCGB2A2 expression to the internal control gene
Use the comparative CT method (2^-ΔΔCT) for relative quantification
Statistically analyze differences between sample groups
To validate the specificity of a SCGB2A2 antibody, implement multiple complementary approaches:
1. Cross-reactivity testing:
Create dot blots with different concentrations of SCGB2A2 and closely related proteins (e.g., lipophilin B)
Spot 1 ng, 100 pg, 10 pg, and 1 pg of each cDNA or protein
Probe with your SCGB2A2 antibody to ensure it only binds to SCGB2A2 and not to related proteins
2. Western blot analysis:
Use recombinant SCGB2A2 protein as a positive control
Include lysates from cells known to express SCGB2A2 (e.g., ZR-75.1) and those that don't
Verify the expected molecular weight (approximately 10-11 kDa)
3. Immunohistochemistry controls:
Perform IHC on tissues known to express SCGB2A2 (breast cancer tissues)
Include negative control tissues (non-breast tissues)
Use blocking peptides to confirm binding specificity
Perform parallel staining with different SCGB2A2 antibody clones
4. RNA-protein correlation:
Compare protein detection by your antibody with RNA expression measured by qRT-PCR
Concordance between protein and RNA levels supports antibody specificity
SCGB2A2 antibodies have proven valuable for detecting circulating tumor cells (CTCs) and micrometastases in breast cancer patients through several methodological approaches:
Bone marrow micrometastasis detection:
In a study examining bone marrow samples from breast cancer patients, SCGB2A2 (mammaglobin-1) immunostaining demonstrated superior sensitivity compared to traditional methods:
SCGB2A2 immunostaining detected micrometastases in 16/30 patients (53.3%)
Standard H&E staining of bone marrow biopsies detected only 5/30 patients (16.7%)
This indicates that SCGB2A2 immunostaining can detect micrometastatic cells that would be missed by conventional histological methods.
Protocol considerations:
Use optimized antigen retrieval methods for bone marrow specimens
Include appropriate positive and negative controls
Consider correlation with other markers such as CA15-3 in serum and bone marrow plasma
Validate positive findings using additional breast cancer-specific markers
Peripheral blood CTC detection:
The mammaglobin A/lipophilin B complex has been observed in the peripheral circulation of breast cancer patients, suggesting its potential as a serological marker for breast cancer . For peripheral blood CTC detection:
Process samples promptly after collection
Consider immunomagnetic enrichment of CTCs prior to staining
Use highly specific antibody clones to avoid false positives
Implement multi-marker approaches (combining SCGB2A2 with other breast cancer markers)
SCGB2A2 (Mammaglobin A) and lipophilin B (SCGB1D2) have a significant biological relationship in breast cancer:
Physical interaction:
SCGB2A2 and lipophilin B proteins form a covalent complex in breast tissue
This complex has been observed in both normal and malignant breast tissues
The complex can also be detected in the peripheral circulation of breast cancer patients
Co-expression patterns:
Expression analysis using northern blot and cancer profiling arrays revealed:
SCGB2A2 and lipophilin B are co-expressed in the same breast tumor samples
Transcripts of approximately 600 bp in size for both genes were expressed with similar intensity in breast cancer samples
Their co-expression is not restricted to breast tumors but is also present in normal breast tissue
Cell line expression:
In cell line studies, SCGB2A2 was expressed only in the ZR-75.1 breast cancer cell line
Lipophilin B was expressed in ZR-75.1 as well as in T-47D (breast cancer) and LnCaP (prostate cancer) cell lines
This suggests that while often co-expressed, lipophilin B has a broader expression pattern than SCGB2A2
The SCGB2A2/lipophilin B complex may have functional significance in breast cancer biology and potentially serves as a more specific diagnostic marker than either protein alone.
Research indicates that SCGB2A2 expression varies across breast cancer subtypes and may have implications for prognosis:
Expression across breast cancer subtypes:
Clinical correlation:
SCGB2A2 expression has been found to be a marker of tumor progression
Evidence supports its association with lymph node involvement and distant metastasis
The presence of SCGB2A2-positive cells in bone marrow correlates with serum and bone marrow plasma CA15-3 levels, which are established markers of tumor burden
Diagnostic utility in combination with other markers:
For optimal diagnostic utility, SCGB2A2 is often used in a panel approach:
Common panel components include GCDFP-15 and Estrogen receptor alpha
This multimarker approach improves sensitivity while maintaining specificity for breast origin
More research is needed to fully elucidate the prognostic value of SCGB2A2 expression in different breast cancer molecular subtypes and treatment response prediction.
Researchers frequently encounter several challenges when working with SCGB2A2 antibodies:
Expected molecular weight: 10.5-12.2 kDa
Resolution: This discrepancy may be due to post-translational modifications or protein processing. Verify using recombinant SCGB2A2 protein as a positive control and consider using gradient gels to better resolve small proteins.
Resolution: Optimize antigen retrieval methods (try both pH 9.0 TE buffer and pH 6.0 citrate buffer)
Test different antibody concentrations (1:20-1:1000 depending on the antibody)
Increase incubation time or temperature
Use signal amplification systems if necessary
Resolution: Validate antibody specificity using dot blots with recombinant proteins
Conduct blocking experiments with specific peptides
Select antibodies raised against unique epitopes of SCGB2A2 rather than conserved regions of the secretoglobin family
Resolution: Store antibodies according to manufacturer recommendations (typically at -20°C)
Aliquot to avoid repeated freeze/thaw cycles
Check expiration dates and look for visible precipitation before use
Resolution: Include positive controls in each experiment (breast cancer tissue or ZR-75.1 cells)
Verify sample quality and fixation/processing methods
Consider using multiple SCGB2A2 antibody clones recognizing different epitopes
When faced with contradictory SCGB2A2 expression data from different detection methods, consider the following interpretation framework:
1. Method-specific considerations:
| Detection Method | Strengths | Limitations | Resolution Strategy |
|---|---|---|---|
| IHC | Visualizes protein in tissue context | Subjective scoring, variable sensitivity | Standardize scoring, use digital image analysis |
| Western Blot | Specific protein size identification | May miss low expression | Use sensitive detection systems, longer exposure times |
| qRT-PCR | High sensitivity for mRNA | Doesn't confirm protein expression | Normalize properly, use multiple reference genes |
| ELISA | Quantitative | No cellular context | Validate antibody pairs, run standard curves |
2. Technical reasons for discrepancies:
Different antibodies may recognize different epitopes or isoforms
Post-translational modifications might affect antibody binding
Fixation methods can impact epitope accessibility in IHC
Sensitivity thresholds vary between methods
3. Biological explanations:
Discrepancy between mRNA and protein levels due to post-transcriptional regulation
Heterogeneous expression within tumors may lead to sampling variability
Expression may change during disease progression
4. Resolution approaches:
Validate findings using multiple detection methods
Use multiple antibodies targeting different epitopes
Correlate with functional assays
Consider the biological context when interpreting results
Use larger sample sizes to account for heterogeneity
When designing experiments to correlate SCGB2A2 expression with clinical parameters, researchers should consider several critical factors:
1. Sample considerations:
Select appropriate cohorts with sufficient statistical power
Include diverse breast cancer subtypes (luminal, HER2+, triple-negative)
Ensure balanced representation of different stages and grades
Include matched normal breast tissue when possible
Consider collecting longitudinal samples (pre-treatment, post-treatment, recurrence)
2. Experimental design factors:
Use validated SCGB2A2 antibodies with established specificity
Implement standardized staining and scoring protocols
Consider multiplexed approaches to simultaneously detect SCGB2A2 and other markers
Include appropriate technical and biological controls
Use digital pathology tools for quantitative assessment when possible
3. Clinical correlation parameters:
4. Statistical approaches:
Define appropriate statistical methods before data collection
Consider multivariate analyses to adjust for confounding factors
Use stringent criteria for determining significance in multiple comparisons
Validate findings in independent cohorts when possible
Calculate sample sizes needed for adequate statistical power
5. Methodological considerations:
Consider using multiple detection methods (IHC, qRT-PCR, ELISA)
For circulating markers, standardize sample collection and processing times
Document pre-analytical variables that might affect results
Recent research developments regarding SCGB2A2 as a breast cancer biomarker include:
Bone marrow micrometastasis detection:
A 2020 study demonstrated that mammaglobin-1 (SCGB2A2) immunostaining in bone marrow biopsies significantly improved detection of micrometastases compared to traditional H&E staining (53.3% vs. 16.7% detection rate) . This provides initial evidence for using SCGB2A2 immunostaining as a tool to investigate early bone marrow micrometastases in breast cancer patients.
Comprehensive tissue expression analysis:
A pioneering study conducted in 2023 examined the tissue expression signature of mammaglobin protein across more than 16,328 samples derived from various malignancies . This large-scale analysis has helped better define the specificity profile of SCGB2A2 across different cancer types.
Circulating tumor cell detection:
The mammaglobin A/lipophilin B complex has been observed in the peripheral circulation of breast cancer patients, indicating its potential utility as a serological marker . This suggests possibilities for liquid biopsy applications.
Diagnostic specificity refinement:
While SCGB2A2 was initially thought to be exclusively expressed in breast tissue, newer research has identified that up to 15% of non-breast carcinomas may show focal positivity . This improved understanding of expression patterns helps researchers better interpret SCGB2A2 findings in diagnostic contexts.
Integration of SCGB2A2 antibodies into multiplexed immunoassays offers significant advantages for comprehensive cancer profiling:
Multiplexed IHC/IF approaches:
SCGB2A2 can be combined with other breast cancer markers (GCDFP-15, ER, PR, HER2)
Use spectrally distinct fluorophores or chromogens for simultaneous detection
Implement automated multispectral imaging systems for quantitative analysis
Consider tyramide signal amplification for detecting low-abundance targets
Methodological considerations:
Validate antibody compatibility in multiplexed formats
Optimize staining conditions for each antibody in the panel
Test for potential cross-reactivity between detection systems
Ensure antibodies are raised in different host species to avoid cross-reactivity
Consider sequential staining approaches for challenging combinations
Panel design strategies:
Include SCGB2A2 in panels targeting:
Breast cancer subtyping (with ER, PR, HER2, Ki-67)
Metastatic site identification (with organ-specific markers)
Tumor microenvironment characterization (with immune cell markers)
Epithelial-mesenchymal transition assessment (with E-cadherin, vimentin)
Digital pathology integration:
Implement machine learning algorithms for automated scoring
Develop spatial analysis tools to assess marker co-localization
Create standardized reporting formats for multiplexed data
Integrate with clinicopathological data for comprehensive analysis
Quality control measures:
Include tissue microarrays with known expression patterns as controls
Use spike-in controls for assay performance monitoring
Implement batch correction algorithms for multi-center studies
Standardize image acquisition parameters
Despite its established role as a breast cancer marker, the precise function of SCGB2A2 in breast cancer biology remains incompletely understood. Several experimental approaches could advance our understanding:
Functional genomics approaches:
CRISPR/Cas9-mediated knockout or knockdown of SCGB2A2 in breast cancer cell lines
Overexpression studies to assess effects on proliferation, migration, and invasion
Single-cell RNA sequencing to characterize SCGB2A2-expressing cell populations
Spatial transcriptomics to understand SCGB2A2 expression in the tumor microenvironment
Protein interaction studies:
Investigate the SCGB2A2/lipophilin B complex formation and function
Perform co-immunoprecipitation followed by mass spectrometry to identify novel binding partners
Use proximity ligation assays to verify protein interactions in situ
Develop structural biology approaches to understand the complex architecture
In vivo models:
Generate transgenic mouse models with tissue-specific SCGB2A2 expression
Develop patient-derived xenografts from tumors with varying SCGB2A2 expression levels
Use in vivo imaging with labeled SCGB2A2 antibodies to track metastatic spread
Test SCGB2A2-targeted therapies in relevant animal models
Translational approaches:
Develop SCGB2A2-based liquid biopsy assays for early detection and monitoring
Explore SCGB2A2 as a target for antibody-drug conjugates
Investigate SCGB2A2 as a potential immunotherapy target
Assess SCGB2A2 expression changes in response to standard treatments
Multi-omics integration:
Correlate SCGB2A2 expression with genomic alterations, methylation patterns, and proteomics data
Identify potential regulatory mechanisms controlling SCGB2A2 expression
Map SCGB2A2 into breast cancer molecular pathways
Develop predictive models incorporating SCGB2A2 expression data