TOP2A antibodies enable the study of TOP2A as a tumor antigen. Dendritic cells electroporated with TOP2A RNA induce antigen-specific T-cell responses, suppressing tumor growth in murine models (e.g., MC-38, B16F10) . The H-2Kb-restricted epitope p1327 (DSDEDFSGL) identified using TOP2A antibodies demonstrates immunotherapeutic potential .
Expression Correlation: Elevated TOP2A levels in lung adenocarcinoma (LUAD) correlate with poor survival (HR = 2.0, P < 0.001) . Immunohistochemical staining with TOP2A antibodies reveals higher expression in tumors vs. normal tissues .
Mechanistic Role: TOP2A knockdown reduces proliferation and increases apoptosis in A549 lung cancer cells via ERK/JNK/p-P38/CHOP pathway activation .
TOP2A antibodies link TOP2A to VM formation and immune evasion in non-small cell lung cancer (NSCLC):
VM Regulation: TOP2A upregulates VM-related proteins (MMP2, MMP9, VEGFA) and cytoskeletal regulators (RHOA, Wnt3a) .
PD-L1 Interaction: High TOP2A expression increases PD-L1 levels, suggesting a dual role in promoting immune evasion and angiogenesis .
TOP2A antibodies are used to:
Stratify NSCLC patients into high-risk (poor prognosis) and low-risk (better survival) groups based on TOP2A expression .
Detect TOP2A/MCM2 co-expression as a marker of aberrant cell proliferation in cervical dysplasia and other cancers .
Chemotherapy Resistance: TOP2A is a target for anthracyclines and epipodophyllotoxins. Antibodies help identify TOP2A overexpression linked to drug resistance .
Combination Therapies: Preclinical studies suggest TOP2A inhibitors paired with immune checkpoint blockers (anti-PD-1/PD-L1) may enhance treatment efficacy .
TOP2A antibodies will remain pivotal in:
What is TOP2A and what are the key applications for TOP2A antibodies in research?
TOP2A is a key decatenating enzyme that alters DNA topology by binding to double-stranded DNA molecules, creating breaks, passing intact strands through, and religating the broken strands . It's involved in chromosome condensation, chromatid separation, and relieving torsional stress during DNA transcription and replication .
TOP2A antibodies are commonly used in:
Methodologically, researchers should optimize dilutions for each application (typically 1:50-1:2000 depending on the antibody and application) , and validate antibody specificity by including appropriate positive controls such as HeLa, Jurkat, or K562 cell lines .
How should researchers select between monoclonal and polyclonal TOP2A antibodies?
Selection criteria should be based on experimental needs:
Monoclonal antibodies:
Provide higher specificity to single epitopes
Offer better reproducibility between experiments
Example: Mouse monoclonal antibodies like TOP2A/1361 and TOP2A/1362 target regions within amino acids 1350-1500
Ideal for highly specific detection in diagnostic applications
Polyclonal antibodies:
Recognize multiple epitopes, potentially increasing detection sensitivity
May better tolerate protein denaturation in certain applications
Example: Rabbit polyclonal antibodies typically target larger regions like amino acids 1314-1503
Useful for applications requiring stronger signals
Methodologically, researchers should validate antibody performance in their specific experimental system, as reactivity can vary between human, mouse, and rat samples .
What protocols are recommended for detecting TOP2A using immunohistochemistry?
For optimal IHC detection of TOP2A:
Fixation: Use 10% neutral buffered formalin fixation for tissue samples
Antigen retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Blocking: Apply 3-5% BSA or normal serum for 30-60 minutes
Primary antibody: Use dilutions typically between 1:100-1:200
Detection system: Use appropriate species-specific secondary antibodies
Visualization: DAB chromogen for brightfield or fluorescent-conjugated secondaries (e.g., NorthernLights™ 557) for fluorescence imaging
Counterstaining: DAPI for nuclear visualization in fluorescence applications
When analyzing results, expect primarily nuclear staining, with some cytoplasmic localization depending on cell type and cycle phase .
How can TOP2A antibodies be used to study the role of TOP2A in cancer drug resistance mechanisms?
TOP2A antibodies can be instrumental in investigating drug resistance through several methodological approaches:
Monitoring TOP2A cleavage complexes (TOP2Acc): Use heparin-based extraction protocols coupled with immunoblotting to detect covalent attachment of TOP2A to DNA following treatment with TOP2 poisons like etoposide . This technique separates soluble TOP2A from DNA-bound TOP2Acc fractions.
Correlation with drug sensitivity: Compare TOP2A expression levels (determined by antibody-based methods) with IC50 values of topoisomerase inhibitors to establish predictive biomarkers of response .
Mutation analysis: Use TOP2A antibodies to immunoprecipitate the protein followed by mass spectrometry to identify mutations that might affect drug binding, as point mutations in TOP2A can reduce activity and confer resistance to drugs like etoposide .
Cell cycle-specific drug responses: Combine TOP2A antibodies with cell cycle markers in flow cytometry to determine if drug resistance is associated with altered cell cycle distribution of TOP2A .
Research has demonstrated that mutations affecting TOP2A activity can produce resistance indexes ranging from 8- to 19-fold relative to control cells for drugs like etoposide , highlighting the importance of monitoring both TOP2A expression and functional activity.
What are the methodological considerations for using TOP2A antibodies in studying its role in immune checkpoint regulation and cancer immunotherapy?
When investigating TOP2A in the context of cancer immunotherapy, researchers should consider:
Multiplex immunostaining: Use TOP2A antibodies in combination with immune checkpoint markers (e.g., PD-L1) and immune cell markers to assess correlations between TOP2A expression and the tumor immune microenvironment .
Tumor Immune Dysfunction and Exclusion (TIDE) analysis: Combine TOP2A antibody staining with TIDE scoring to correlate TOP2A expression with predicted immunotherapy outcomes . Higher TIDE scores indicate higher likelihood of immune escape and potentially lower immunotherapy success.
Pathway analysis: Investigate TOP2A's relationship with immune checkpoint molecules through co-immunoprecipitation experiments using TOP2A antibodies to identify protein-protein interactions .
In vitro modeling: Use TOP2A antibodies to confirm knockdown or overexpression in cell models studying immune checkpoint regulation .
Recent research has demonstrated that TOP2A expression positively correlates with M1-type macrophage infiltration, immune checkpoint molecule expression (particularly PD-L1), and immunotherapy efficacy in non-small cell lung cancer . Mechanistically, TOP2A appears to upregulate PD-L1 expression, suggesting direct involvement in immune evasion mechanisms .
How can researchers use TOP2A antibodies to investigate its role in vasculogenic mimicry (VM) in cancer?
To study TOP2A's involvement in VM formation:
Co-localization studies: Use TOP2A antibodies in combination with VM markers (e.g., VE-cadherin, EphA2) in dual immunofluorescence staining to assess co-expression patterns in tumor samples .
Tube formation assays: After TOP2A knockdown or overexpression (verified with antibodies), evaluate the ability of cancer cells to form VM structures on Matrigel .
Molecular pathway investigation: Use TOP2A antibodies in conjunction with Wnt pathway markers (particularly Wnt3a) to explore mechanistic connections between TOP2A and VM formation .
Prognostic correlation: Combine TOP2A antibody staining with VM quantification in patient samples to establish clinical relevance .
Therapeutic targeting: Use TOP2A antibodies to monitor protein levels following treatment with VM-targeting agents to identify potential synergistic approaches .
Research has established that TOP2A expression significantly correlates with VM presence in non-small cell lung cancer, and this correlation is associated with poor prognosis . Mechanistically, TOP2A appears to promote VM formation through upregulation of Wnt3a, suggesting a novel therapeutic avenue for targeting VM-dependent tumors .
What techniques can be employed to distinguish between TOP2A activity and expression levels using antibodies?
Distinguishing between TOP2A protein levels and enzymatic activity is crucial:
Activity-specific detection:
Correlation analyses:
Mutation-specific approaches:
Research demonstrates that cells with TOP2A mutations can maintain detectable protein levels while showing decreased enzymatic activity, as evidenced by reduced formation of TOP2A cleavage complexes and resistance to etoposide . This highlights the importance of combining expression and activity measurements when studying TOP2A function.
How can TOP2A antibodies be utilized in cell cycle research and what are the considerations for co-staining with other cell cycle markers?
TOP2A is a valuable cell cycle marker, being particularly expressed during late S, G2, and M phases . When using TOP2A antibodies for cell cycle research:
Optimized co-staining protocols:
Fix cells appropriately (4% paraformaldehyde for IF or methanol/acetone for certain epitopes)
Use sequential staining for challenging combinations
Employ directly conjugated antibodies when possible to reduce cross-reactivity
Carefully select fluorophores to minimize spectral overlap
Cell cycle marker combinations:
Combine TOP2A with S-phase markers (e.g., PCNA, BrdU, EdU)
Pair with mitotic markers (e.g., phospho-histone H3)
Co-stain with cyclins (cyclin B1 for G2/M, cyclin E for G1/S)
Functional analyses:
Use TOP2A antibodies in conjunction with apoptosis markers to study cell cycle arrest
Combine with cell synchronization techniques for phase-specific studies
Research shows that TOP2A knockdown can induce significant S-phase block in the cell cycle , while affecting apoptosis rates. Flow cytometry analyses combining TOP2A antibodies with DNA content staining (propidium iodide) can reveal these cell cycle perturbations , providing insights into TOP2A's role in cell cycle progression.
What validation steps should researchers take to ensure TOP2A antibody specificity?
Thorough validation is essential for reliable results:
Positive controls: Test antibodies on cell lines known to express TOP2A (HeLa, Jurkat, K562)
Negative controls:
Use isotype controls to rule out non-specific binding
Include secondary antibody-only controls
Consider TOP2A-knockdown cells as biological negative controls
Multiple detection methods: Confirm findings using different techniques (WB, IF, IHC)
Cross-reactivity testing:
Verify reactivity across species if working with non-human models
Test potential cross-reactivity with the related TOP2B protein
Epitope mapping: Understand the specific region recognized by the antibody (e.g., amino acids 1350-1500 for certain monoclonal antibodies)
Western blot validation should show a specific band at approximately 170 kDa , while immunofluorescence should reveal predominantly nuclear localization with potential cytoplasmic staining depending on cell cycle phase .
How can researchers optimize TOP2A antibody-based assays for cancer prognostic studies?
For prognostic applications:
Standardized scoring systems:
Develop quantitative measures of TOP2A positivity (e.g., H-score, Allred score)
Establish clinically relevant cut-off values for "high" versus "low" expression
Statistical validation:
Use Kaplan-Meier analyses to correlate TOP2A expression with survival outcomes
Employ multivariate analyses to control for confounding factors
Technical considerations:
Standardize tissue processing protocols
Use automated staining platforms when possible to reduce variability
Include positive and negative controls in each batch
Correlation with molecular subtyping:
Compare antibody-based detection with gene expression data
Integrate with other prognostic biomarkers
Research has demonstrated that high TOP2A expression correlates with poor prognosis in various cancers including ovarian cancer and non-small cell lung cancer . In studies of ovarian cancer, TOP2A expression levels were found to be significantly higher in cancer tissue compared to healthy tissue, and Kaplan-Meier analyses confirmed that higher expression levels were associated with worse patient outcomes .
How can TOP2A antibodies be incorporated into advanced imaging techniques for studying dynamic processes?
Innovative imaging approaches:
Live-cell imaging:
Use membrane-permeable fluorescent-tagged antibody fragments (Fabs)
Employ cell lines expressing fluorescently tagged TOP2A with antibody validation
Consider SNAP or CLIP-tag fusion proteins with TOP2A for pulse-chase experiments
Super-resolution microscopy:
Optimize primary and secondary antibody combinations for STORM or PALM
Use directly conjugated primary antibodies to improve localization precision
Combine with DNA labels to study TOP2A-DNA interactions at nanoscale resolution
Advanced co-localization analyses:
Employ proximity ligation assays (PLA) to study TOP2A interactions with other proteins
Use FRET-based approaches to examine protein-protein interactions in real-time
Combine with chromatin conformation capture techniques to study TOP2A at specific genomic loci
These advanced techniques can help researchers bridge the gap between static snapshots of TOP2A localization and its dynamic functions in processes like transcription, replication, and chromosome segregation.
What are the emerging applications of TOP2A antibodies in studying its role in novel signaling pathways?
Recent research has revealed TOP2A's involvement in unexpected signaling pathways:
AKT/mTOR pathway:
Wnt signaling pathway:
PRC2 and H3K27me3 regulation:
Research has shown that TOP2A regulates cancer cell proliferation through modulation of the AKT/mTOR pathway in ovarian cancer , suggesting its potential as a therapeutic target. Additionally, TOP2A has been found to play a role in social behavior development via PRC2 and H3K27me3 , opening new avenues for research into neurodevelopmental disorders.