PRCC regulates cell cycle progression via interaction with MAD2L2, a mitotic checkpoint protein . Aberrant PRCC expression is implicated in:
Papillary Renal Cell Carcinoma (pRCC): PRCC gene fusions (e.g., TFE3-PRCC) are hallmark drivers of pRCC .
Hepatocellular Carcinoma (HCC): PRCC overexpression correlates with poor prognosis and promotes resistance to DNA damage by inhibiting the JNK/ATM/ATR/ATF2 axis .
Non-Small Cell Lung Cancer (NSCLC): PRCC amplifications enhance tumor growth, metastasis, and survival via AKT/NF-κB signaling .
pRCC tumors exhibit distinct immune profiles compared to clear cell RCC (ccRCC), including fewer CD4+ T cells (7.0% vs. 14.1%) and more PanCK+ tumor cells (24.3% vs. 9.5%) .
HCC: PRCC promotes intratumoral heterogeneity by downregulating JNK/ATM/ATR signaling, enabling survival under genotoxic stress .
NSCLC: PRCC silencing reduces cyclin D1, AKT-1, and NF-κB levels, impairing tumor progression .
PRCC (Papillary Renal Cell Carcinoma translocation-associated) is a protein encoded by the PRCC gene that plays roles in cell cycle regulation through interaction with MAD2L2. PRCC antibodies are primarily used in the following applications:
| Application | Common Dilutions | Sample Types |
|---|---|---|
| Western Blot (WB) | 1:500-1:1000 | Human cell lines, tissue lysates |
| Immunohistochemistry (IHC) | Varies by antibody | FFPE tissue sections |
| Immunofluorescence (IF) | Varies by antibody | Fixed cells, tissue sections |
| ELISA | Varies by antibody | Serum, plasma |
PRCC has a calculated molecular weight of 52 kDa but is typically observed at approximately 66 kDa in Western blot analyses . For optimal results, it is recommended to validate antibody performance in each specific experimental system as sensitivity may be sample-dependent .
PRCC predominantly localizes in cell nuclei as confirmed by fluorescence microscopy studies . This nuclear localization should inform both antibody selection and experimental design. When selecting antibodies for immunofluorescence or immunohistochemistry applications:
Choose antibodies validated for nuclear protein detection
Consider fixation methods that preserve nuclear architecture
Include appropriate nuclear counterstains (e.g., DAPI) for co-localization studies
PRCC has been found to interact with various pre-mRNA splicing factors including SC35, PRL1, and CDC5 , suggesting its involvement in nuclear processes related to RNA processing. When designing experiments to study PRCC's nuclear functions, researchers should consider antibodies raised against epitopes that remain accessible in the nuclear environment.
Comprehensive validation of PRCC antibodies should include:
Positive and negative control samples:
Multiple detection methods:
Cross-reactivity assessment:
For quantitative applications like diagnostic assays, researchers should establish standard curves using recombinant PRCC protein to determine detection limits and dynamic range.
PRCC has been implicated in multiple cancer types with distinct roles, requiring specific experimental approaches:
In hepatocellular carcinoma (HCC) research:
PRCC is highly expressed in HCC tissues and correlates with poor prognosis
Use IHC with tissue microarrays to correlate PRCC expression with clinicopathological characteristics
AlgorithmS program of ImageScope software can be used to calculate histochemical scores
Median scores should be used to distinguish between high and low PRCC expression levels
For studying DNA damage sensitivity:
For tumor heterogeneity investigations:
The following experimental design is recommended for investigating PRCC's role in cancer progression:
| Research Question | Experimental Approach | Key Antibody Applications |
|---|---|---|
| PRCC expression correlation with prognosis | Tissue microarray IHC, survival analysis | IHC with quantitative analysis |
| PRCC role in DNA damage response | DNA damage induction in cells with modulated PRCC expression | IF co-localization, WB for signaling proteins |
| PRCC effects on tumor heterogeneity | Single-cell analysis techniques, multiplexed imaging | Multiplexed IF, imaging mass cytometry |
PRCC shows potential as a diagnostic biomarker, particularly for hepatocellular carcinoma:
Serum detection methodology:
Tissue diagnostic approaches:
Validation protocol for diagnostic applications:
Multi-center cohort validation
Comparison with established biomarkers (e.g., AFP for HCC)
Correlation with clinical outcomes
For researchers developing PRCC-based diagnostic tests, the following performance characteristics from clinical studies provide important benchmarks:
Advanced multiplexed imaging approaches using PRCC antibodies can provide insights into tumor-immune interactions:
Imaging mass cytometry (IMC) methodology:
Heavy metal-labeled antibodies including PRCC can be used for multiplexed tissue imaging
Protocol includes staining FFPE tissue with antibody cocktail in 0.5% BSA overnight at 4°C
Ir-Intercalator staining (1:600 dilution) for 30 min at room temperature
Imaging using systems like Hyperion Imaging Cytometer (Fluidigm)
Data analysis approaches:
Panel design considerations:
When designing multiplexed panels including PRCC antibodies, researchers should be aware of the significant differences in immune infiltration between papillary and clear cell RCC:
Papillary renal cell carcinoma is heterogeneous with multiple subtypes that have distinct molecular and clinical characteristics:
The following table summarizes key markers that can be used alongside PRCC antibodies to distinguish PRCC subtypes:
When designing experiments to evaluate treatment response using PRCC antibodies:
Baseline expression assessment:
Establish baseline PRCC expression in tumor models before treatment
Consider genetic manipulation to create models with varying PRCC expression levels
Treatment response monitoring:
For immunotherapy studies, correlate PRCC expression with immune infiltration patterns
For targeted therapies (e.g., MET inhibitors for Type 1 PRCC), monitor changes in PRCC expression and signaling pathways
Experimental design considerations:
Recent clinical trials that could inform experimental design include:
When working with challenging sample types, researchers should consider:
Formalin-fixed paraffin-embedded (FFPE) tissues:
Liquid biopsies (serum/plasma):
Tissue microarrays:
Storage and stability considerations:
For long-term experimental planning, researchers should note that PRCC antibodies with optimal performance characteristics include: