Humanin (HN) Antagonism:
Prostate Cancer (PCa):
Acts as an oncogene by inhibiting ferroptosis (iron-dependent cell death).
Mechanism: Forms a tripartite complex with VDAC1 (voltage-dependent anion channel 1) and HK2 (hexokinase 2), stabilizing mitochondrial membrane potential and preventing VDAC1 oligomerization .
Knockdown induces mitochondrial shrinkage, cristae loss, and lipid peroxidation—hallmarks of ferroptosis .
Prostate Cancer: High VSTM2L expression correlates with advanced tumor stage and poor prognosis .
Rectal Cancer: Overexpression reduces DNA damage (γ-H2AX) and confers resistance to chemoradiotherapy (CRT) .
Gastric Cancer: Downregulated in Helicobacter pylori-positive tumors, linked to CpG island methylation phenotype (CIMP) .
Ferroptosis Induction: Silencing VSTM2L sensitizes PCa cells to RSL3 (a ferroptosis inducer), suggesting therapeutic potential .
Immune Modulation: Recombinant VSTM2L inhibits IFN-γ secretion and T-cell activation (ED₅₀: 0.6–6 μg/mL) .
Dual Role in Cell Survival:
Mitochondrial Dynamics:
Immune Interface:
VSTM2L, previously known as C20orf102, is a secreted protein that regulates the interleukin (IL)-4 signaling pathway and functions as an antagonist of humanin, a neuroprotective peptide . The protein was identified through interaction studies with humanin and has been shown to modulate neuronal viability .
Methodological approaches for studying VSTM2L function include:
Protein-protein interaction assays (yeast two-hybrid, co-immunoprecipitation)
Secretion assays in cultured cells
Functional antagonism studies against humanin activity
Expression analysis across tissues and disease states
VSTM2L's dual involvement in immune pathways and neuroprotection suggests it may serve as a bridge between immune function and neurological processes, making it particularly interesting for researchers in neuroinflammation and neuroimmunology.
VSTM2L demonstrates a tissue-specific expression pattern that provides insights into its potential biological roles. Based on GTEx data analysis, VSTM2L mRNA shows widespread but variable expression across normal human tissues .
| Tissue Type | VSTM2L Expression Level |
|---|---|
| Spleen | Highest |
| Brain | High |
| Pituitary | High |
| Bone Marrow | Low |
| Blood | Lowest |
Methodological approaches for expression profiling:
RNA sequencing from GTEx database for transcriptome analysis
Immunohistochemistry from Human Protein Atlas for protein validation
Comparative expression analysis across multiple databases (GTEx, TCGA)
qPCR validation in tissue panels
The high expression in brain and pituitary aligns with findings that VSTM2L antagonizes humanin, a neuroprotective peptide, suggesting specialized functions in the central nervous system .
VSTM2L expression shows remarkable heterogeneity across cancer types, with significant implications for its potential role in cancer biology .
| Cancer Type | VSTM2L Expression (vs. Normal) | Association with Clinical Stage |
|---|---|---|
| BRCA, KIRP, LUAD, PAAD, PCPG, PRAD, THCA | Upregulated | Variable |
| COAD, GBM, KICH, KIRC, LUSC, STAD, UCEC | Downregulated | Variable |
| STAD | Downregulated | Higher expression in advanced stages |
| KIRP | Upregulated | Higher expression in early stages |
Research methodologies for cancer expression analysis:
Integrated analysis of TCGA and GTEx databases
Cancer cell line expression from CCLE database
Protein validation through immunohistochemistry
Correlation with clinical parameters (stage, grade)
These contrasting expression patterns suggest context-dependent roles of VSTM2L in different tumor types, possibly related to tissue-specific signaling pathways or tumor microenvironment interactions .
Researchers investigating VSTM2L can leverage multiple complementary databases to gain comprehensive insights :
| Database/Tool | Purpose | Type of Data Provided |
|---|---|---|
| CCLE | Cancer cell line expression | RNA-seq across cell lines |
| TIMER | Differential expression, immune correlation | Expression across 33 TCGA tumor types |
| TCGA | Cancer expression and clinical data | Multi-omics cancer data |
| GTEx | Normal tissue expression | RNA-seq across 31 normal tissues |
| HPA | Protein expression | Immunohistochemistry data |
| Kaplan-Meier Plotter | Survival analysis | Prognostic correlation |
| GEO | Validation cohorts | Gene expression datasets |
| TISIDB | Immune system interactions | Immunomodulator correlations |
Methodological considerations:
Data normalization approaches (e.g., log2 conversion for RNA-seq)
Integration of multiple data sources for comprehensive analysis
Validation across independent cohorts
Statistical methods for correlation analysis
This multi-database approach enables robust analysis of VSTM2L across various biological and clinical contexts .
VSTM2L was identified as a novel secreted antagonist of humanin (HN), a 24-residue peptide with protective activity against cytotoxic and neurotoxic insults .
Key experimental findings:
VSTM2L interacts with humanin in both yeast and mammalian cell systems
VSTM2L is secreted in cultured cells and present in serum
VSTM2L colocalizes with humanin in specific brain regions
VSTM2L colocalizes with humanin in primary cultured neurons
VSTM2L modulates neuronal viability
Methodological approaches for studying this interaction:
Protein interaction screening (yeast two-hybrid)
Co-immunoprecipitation for validation in mammalian systems
Secretion assays to confirm extracellular function
Immunofluorescence for colocalization studies
Neuronal viability assays to assess functional antagonism
This interaction suggests VSTM2L may play a role in regulating neuroprotective pathways, with potential implications for neurodegenerative conditions like Alzheimer's disease .
VSTM2L demonstrates remarkable cancer-specific prognostic significance, serving as either a favorable or unfavorable indicator depending on cancer type :
| Cancer Type | Prognostic Association with High VSTM2L | Survival Parameters Affected |
|---|---|---|
| STAD (Stomach Adenocarcinoma) | Poor prognosis | OS, DSS, PFI, DFI |
| KIRP (Kidney Renal Papillary Cell Carcinoma) | Good prognosis | OS, DSS, PFI, DFI |
| BLCA, DLBC, GBM, KIRC, LUSC, MESO, OV, THCA, THYM, UCEC, UVM | Poor prognosis | Various |
| LGG, PCPG | Good prognosis | Various |
Advanced methodological approaches:
Multivariate Cox regression analysis to control for clinical covariates
Time-dependent ROC curve analysis for predictive performance (AUC = 0.692 for VSTM2L in STAD)
Kaplan-Meier survival analysis stratified by expression levels
Validation in independent GEO cohorts (GSE84437 for STAD, GSE2748 for KIRP)
The contrasting prognostic value of VSTM2L in different cancers suggests distinct biological roles that researchers should consider when designing targeted studies or therapeutic approaches .
VSTM2L expression shows significant correlations with tumor-infiltrating immune cells (TIICs) across multiple cancer types, suggesting a role in immune regulation within the tumor microenvironment :
| Cancer Type | Relationship with Immune Cells | Specific Correlations |
|---|---|---|
| CHOL | Positive correlation | B cells (r=0.38), macrophages (r=0.46), neutrophils (r=0.48) |
| LUSC | Positive correlation | CD4+ T cells (r=0.33), neutrophils (r=0.32), dendritic cells (r=0.34) |
| LGG | Negative correlation | CD4+ T cells (r=-0.44), macrophages (r=-0.42), dendritic cells (r=-0.33) |
| TGCT | Negative correlation | B cells (r=-0.36), CD8+ T cells (r=-0.41), dendritic cells (r=-0.30) |
Methodological considerations:
Computational deconvolution of bulk RNA-seq to estimate immune cell fractions
Correlation analysis with adjustment for tumor purity
Validation using immunohistochemistry or flow cytometry
Integration with other immune parameters (checkpoint molecules, cytokines)
These correlations vary substantially across cancer types, suggesting tissue-specific or context-dependent immune regulatory functions of VSTM2L .
VSTM2L shows significant associations with various immunomodulatory factors, including immunostimulatory and immunoinhibitory molecules :
| Immunomodulator Type | Cancer Types with Positive Correlation | Cancer Types with Negative Correlation |
|---|---|---|
| Immunostimulatory factors | CHOL, LUSC, BLCA | LGG, TGCT, ACC |
| Immunoinhibitory factors | CHOL, LUSC, BRCA | LGG, TGCT, PCPG |
| MHC molecules | CHOL, ESCA, UVM | LGG, PAAD, ACC |
Methodological approaches:
Comprehensive correlation analysis with established immunomodulators
Pathway enrichment analysis to identify relevant immune signaling networks
Analysis of ImmuneScore and StromalScore correlations
Integration with clinical response data where available
The strongest correlations with ImmuneScore were observed in CHOL (r=0.44), LGG (r=-0.4), and LUSC (r=0.39), while StromalScore showed strongest correlations in TGCT (r=0.55), CHOL (r=0.4), and BLCA (r=0.36) .
These patterns suggest VSTM2L may influence the tumor microenvironment through complex interactions with multiple immune regulatory pathways .
Based on the established prognostic value of VSTM2L in multiple cancers, researchers should consider these methodological approaches :
| Analysis Type | Methodological Considerations | Key Statistical Approaches |
|---|---|---|
| Survival analysis | Multiple endpoints (OS, DSS, PFI, DFI) | Kaplan-Meier curves, log-rank tests |
| Multivariate analysis | Control for clinical covariates | Cox proportional hazards models |
| Stage-specific analysis | Stratification by tumor stage | Subgroup analysis, interaction tests |
| Independent validation | External cohorts | Meta-analysis, forest plots |
| Predictive performance | Time-dependent ROC curves | Area under curve (AUC) calculation |
Advanced considerations:
Integration with established prognostic factors (TNM staging, molecular subtypes)
Development of composite prognostic models incorporating VSTM2L
Sensitivity analysis for expression cutoff determination
Correction for multiple testing when assessing multiple cancer types
For STAD specifically, multivariate Cox regression demonstrated VSTM2L as an independent prognostic marker when compared to clinical characteristics such as primary tumor and lymph node status, with an AUC of 0.692 in ROC analysis .
VSTM2L's contrasting prognostic associations across cancer types present an intriguing research opportunity :
| Cancer Context | Research Direction | Methodological Approaches |
|---|---|---|
| STAD (poor prognosis) | Advanced stage correlation | Pathway analysis, invasion/migration assays |
| KIRP (good prognosis) | Early stage, differentiation | Differentiation markers, cell maturation studies |
| Immune correlation | Context-dependent immune modulation | Immune cell co-culture, cytokine profiling |
| Humanin interaction | Neuroprotection pathway involvement | Humanin rescue experiments, pathway inhibitors |
Comprehensive investigative framework:
Comparative transcriptomic analysis between cancers with opposing prognostic associations
Protein interaction network analysis to identify tissue-specific binding partners
Functional studies with tissue-specific cellular models
CRISPR/Cas9 knockout followed by phenotype characterization
Patient-derived xenograft models with varying VSTM2L expression levels
Understanding these mechanistic differences could potentially resolve the apparent contradiction in VSTM2L's prognostic role and suggest targeted therapeutic approaches for specific cancer contexts .
Investigating VSTM2L's interactions with humanin and other potential binding partners requires sophisticated protein interaction methodologies :
| Technique | Application for VSTM2L Research | Technical Considerations |
|---|---|---|
| Yeast two-hybrid | Initial screening for interactors | Validated for VSTM2L-humanin interaction |
| Co-immunoprecipitation | Validation in mammalian systems | Requires high-quality antibodies |
| Pull-down assays | In vitro interaction confirmation | Recombinant protein production |
| Proximity ligation assay | In situ interaction detection | Spatial resolution in tissue sections |
| FRET/BRET | Real-time interaction dynamics | Requires fluorescent/luminescent tagging |
Secretion analysis approaches:
Conditioned media analysis with western blotting
ELISA development for quantitative measurement
Mass spectrometry for secretome profiling
Signal peptide analysis and mutation studies
These methodologies have successfully identified VSTM2L as an interactor with humanin and could reveal additional binding partners that might explain its diverse biological functions .
The relationship between VSTM2L expression and genomic instability markers provides insight into potential mechanisms of action :
| Analysis Type | Methodological Approach | Data Sources |
|---|---|---|
| TMB correlation | Spearman correlation analysis | TCGA mutation data |
| MSI correlation | Spearman correlation analysis | TCGA MSI scores |
| Cancer-specific patterns | Subgroup analysis by cancer type | Pan-cancer TCGA data |
| Mechanistic investigation | Pathway analysis with DNA repair genes | Integrated multi-omics data |
Technical considerations:
Normalization of TMB scores across cancer types
Standardization of MSI calculation methods
Multiple testing correction for pan-cancer analysis
Integration with other genomic instability markers
Robust bioinformatic approaches are essential for comprehensive VSTM2L analysis :
| Analysis Stage | Recommended Approaches | Technical Considerations |
|---|---|---|
| Data integration | Cross-platform normalization | ComBat, quantile normalization |
| Expression analysis | Differential expression testing | DESeq2, limma, edgeR |
| Survival analysis | Time-to-event modeling | survival, survminer R packages |
| Immune correlation | Deconvolution algorithms | CIBERSORT, xCell, MCP-counter |
| Validation | Meta-analysis of multiple cohorts | Random effects models |
Specific pipeline components used in VSTM2L research:
Merger of GTEx and TCGA data for comprehensive normal vs. tumor comparison
Log2 normalization of RNA-seq data
Kaplan-Meier analysis with median expression cutoff
Cox regression with clinical covariate adjustment
Spearman correlation for immune parameter associations
These approaches have successfully identified the pan-cancer expression patterns and prognostic significance of VSTM2L across multiple independent datasets .
Based on VSTM2L's identified interaction with the neuroprotective peptide humanin, functional studies should address :
| Study Type | Experimental Approach | Expected Outcomes |
|---|---|---|
| Loss-of-function | siRNA/shRNA knockdown in neuronal cultures | Changes in viability, stress response |
| Gain-of-function | Overexpression systems with wildtype/mutant VSTM2L | Humanin antagonism effects |
| Humanin rescue | Co-treatment with recombinant humanin | Reversal of VSTM2L effects |
| Pathway analysis | Inhibition of downstream signaling components | Mechanism identification |
| In vivo models | Conditional transgenic or viral delivery approaches | Behavioral and neuropathological changes |
Critical methodological considerations:
Selection of appropriate neuronal culture systems (primary neurons, neuronal cell lines)
Development of quantitative viability and stress response assays
Dosage titration to identify physiologically relevant concentrations
Temporal analysis to distinguish immediate vs. delayed effects
Integration with AD-relevant stressors (Aβ, tau, oxidative stress)
These approaches can help elucidate VSTM2L's potential role in neurodegenerative conditions like Alzheimer's disease through its antagonism of humanin's neuroprotective functions .
The dual role of VSTM2L in cancer prognosis and neuronal regulation suggests multiple therapeutic strategies :
| Therapeutic Approach | Application Context | Development Considerations |
|---|---|---|
| Inhibition strategies | Cancers with poor VSTM2L prognosis (STAD) | Small molecules, neutralizing antibodies |
| Enhancement strategies | Cancers with good VSTM2L prognosis (KIRP) | Recombinant protein, gene therapy |
| Humanin pathway modulation | Neurodegenerative conditions | Disrupting VSTM2L-humanin interaction |
| Immune modulation | Cancer immunotherapy combination | Context-dependent approach |
Critical development steps:
High-throughput screening for small molecule modulators
Structure-based design targeting protein-protein interfaces
Antibody development with functional validation
Cancer-type specific preclinical models
Patient stratification biomarkers
Given VSTM2L's context-dependent roles, therapeutic development requires careful consideration of tissue specificity and potential off-target effects across different biological systems .
The seemingly disparate functions of VSTM2L in cancer biology and neuronal regulation present an intriguing research opportunity :
| Research Direction | Investigative Approach | Potential Integration Points |
|---|---|---|
| Neuro-immune interface | Co-culture systems with neurons and immune cells | VSTM2L as immunomodulatory factor in CNS |
| Cancer neuroscience | Analysis in neural-derived tumors | VSTM2L in gliomas vs. peripheral tumors |
| Humanin pathway in cancer | Humanin expression across cancer types | Correlation with VSTM2L prognostic patterns |
| IL-4 signaling in neuronal function | IL-4 pathway manipulation in neurons | Shared signaling with VSTM2L-mediated effects |
This integrative approach may uncover shared molecular mechanisms that explain VSTM2L's diverse biological roles and potentially identify novel therapeutic opportunities targeting both cancer and neurological conditions .
While the search results don't specifically address VSTM2L genetic variants, this represents an important research direction:
| Research Approach | Methodological Considerations | Potential Outcomes |
|---|---|---|
| Germline variant analysis | WGS/WES data from population databases | Association with disease susceptibility |
| Somatic mutation analysis | TCGA and ICGC mutation data | Cancer-specific mutation patterns |
| eQTL analysis | GTEx and other eQTL resources | Variants affecting expression |
| Functional variant characterization | CRISPR-based variant introduction | Phenotypic consequences |
This research area could provide insights into individual variability in VSTM2L expression and function, potentially explaining differential disease susceptibility or treatment response across patient populations.
Single-cell approaches offer unprecedented resolution for investigating VSTM2L in complex tissues:
| Single-cell Approach | Research Application | Expected Insights |
|---|---|---|
| scRNA-seq of tumors | Cell type-specific expression | Identifying producing and responding cells |
| Spatial transcriptomics | Localization within tumor architecture | Relationship to vasculature, immune niches |
| Trajectory analysis | Developmental or differentiation dynamics | VSTM2L in cellular state transitions |
| Single-cell proteomics | Protein co-expression patterns | VSTM2L protein interactions in specific cells |
This high-resolution analysis could resolve apparent contradictions in VSTM2L's roles by identifying specific cellular contexts where it promotes or inhibits tumor progression, potentially leading to more precise therapeutic targeting strategies.
Given VSTM2L's correlations with immune parameters, investigating its role in immunotherapy response represents a promising research direction :
| Research Direction | Methodological Approach | Potential Significance |
|---|---|---|
| Checkpoint inhibitor response | Correlation in clinical cohorts | Biomarker development |
| CAR-T efficacy | Expression in solid tumors | Resistance mechanism |
| Cancer vaccine responses | Antigen presentation correlation | Immunogenicity modulation |
| Combination therapy approaches | Preclinical models | Synergistic treatment design |
The association between VSTM2L and immunomodulatory factors suggests it may influence treatment response through modulation of the tumor immune microenvironment, potentially serving as both a predictive biomarker and therapeutic target in the immunotherapy context .
The cancer-specific prognostic patterns of VSTM2L suggest opportunities for precision oncology applications :
| Precision Medicine Application | Implementation Approach | Clinical Impact |
|---|---|---|
| Patient stratification | VSTM2L expression testing | Risk-adapted treatment selection |
| Cancer type-specific targeting | Context-dependent intervention | Avoiding counterproductive effects |
| Treatment response prediction | Integration with molecular subtypes | Therapy optimization |
| Multi-biomarker panels | Combination with established markers | Improved prognostic accuracy |
Development considerations:
Clinical assay development and validation
Integration with existing molecular testing platforms
Prospective validation in clinical trials
Regulatory pathway for biomarker approval
The dual prognostic nature of VSTM2L emphasizes the importance of cancer-specific approaches in precision medicine, potentially improving patient selection for aggressive treatment regimens or clinical trials .
Despite significant progress in understanding VSTM2L, several fundamental questions remain:
What is the molecular mechanism explaining VSTM2L's opposite prognostic roles in different cancers?
How does VSTM2L regulate both immune function and neuronal viability?
What are the downstream signaling pathways of VSTM2L in different cellular contexts?
How does VSTM2L expression change during disease progression?
What is the three-dimensional structure of VSTM2L and its complexes with binding partners?
Addressing these questions will require interdisciplinary approaches combining cancer biology, immunology, neuroscience, and structural biology to fully elucidate VSTM2L's complex biological roles .
VSTM2L is located on chromosome 20 and encodes a 22 kDa extracellular protein . The protein contains an N-terminal signal peptide and an immunoglobulin-like domain with a disulfide bond between specific cysteine residues . This structure is crucial for its function in cell-cell adhesion and interaction.
Diseases associated with VSTM2L include Bietti Crystalline Corneoretinal Dystrophy, a rare genetic eye disorder . The gene’s role in cell adhesion and neuron survival suggests it could be significant in various neurological conditions, although more research is needed to fully understand its implications.
VSTM2L is a subject of interest in various research fields, including neuroscience and immunology. Recombinant forms of this protein are used in laboratory settings to study its function and potential therapeutic applications . For instance, ELISA kits are available to quantify VSTM2L in biological samples, which helps in understanding its expression patterns and role in different tissues .