Cracking the Genetic Code

Resolving Uncertain Variants in Hispanic/Latino Colorectal Cancer Patients

Genetics Colorectal Cancer Health Equity Precision Medicine

The VUS Dilemma: When Genetic Tests Can't Give Clear Answers

Imagine receiving a genetic test result that might indicate increased cancer risk, but being told that scientists simply don't have enough information to know for sure. This scenario plays out daily in clinics across the world, particularly among people of non-European ancestry.

Variant of Uncertain Significance

Genetic changes where the connection to health conditions is unclear, often because they're so rare in the population that little information exists about them 1 .

Personalized Cancer Care

The resolution of these uncertain variants represents the next frontier in personalized cancer care, potentially unlocking more precise risk assessment and treatment strategies.

Understanding Variants of Uncertain Significance (VUS)

The "Gray Area" of Genetics

A variant of uncertain significance is essentially a genetic change whose health implications are unknown 1 . As Dr. Teri Manolio of the National Human Genome Research Institute explains, "The great majority of new variants that pop up in examining an individual person's genome can't definitely be classified as disease-causing or not" 1 .

The fundamental challenge lies in the reference datasets used to interpret genetic variants. When most genomic research has focused on European populations, variants more common in other groups naturally become "unclassifiable." This creates a troubling disparity: Hispanic/Latino patients and other underrepresented groups receive inconclusive results more frequently, limiting the clinical utility of genetic testing 1 6 .

VUS Classification Challenge

Distribution of variant classifications in underrepresented populations

The Ripple Effects of Uncertainty

  • Experience significant distress and anxiety about their cancer risk
  • Cannot make informed decisions about preventive measures
  • May undergo unnecessary increased cancer surveillance
  • Face limitations in accessing targeted therapies

Colorectal Cancer in Hispanic/Latino Communities: An Urgent Need

Projected Global CRC Burden by 2030
New Cases 2.2M+
Deaths 1.1M+

Source: Global cancer projections 3

The Growing Burden of CRC

Colorectal cancer represents a significant health concern for Hispanic/Latino communities. By 2030, the global burden of colorectal cancer is expected to increase to more than 2.2 million new cases and 1.1 million deaths worldwide 3 .

Within the United States, Latinos face unique cancer disparities, including being diagnosed at later stages for certain cancers and having lower participation in clinical trials 4 .

The Genetic Diversity Gap

The Hispanic/Latino population represents a richly genetically admixed community with varying proportions of Indigenous American, European, African, and other ancestries 2 5 . This genetic diversity, while scientifically valuable, has been underrepresented in cancer genomic studies 2 .

As a result, the molecular drivers of colorectal cancer in these populations remain insufficiently characterized, creating a critical knowledge gap in our understanding of the disease.

Hispanic/Latino Genetic Ancestry

Key Research: Mapping the Genomic Landscape of Hispanic/Latino CRC

The Latino Colorectal Cancer Consortium (LC3) Study

To address this disparity, researchers formed the Latino Colorectal Cancer Consortium (LC3), conducting one of the most comprehensive genomic studies of colorectal cancer in this population to date. The team analyzed whole-exome sequencing data from 718 individuals with colorectal cancer, specifically examining how genetic ancestry influences tumor characteristics 2 .

Study Highlights
  • 718 participants
  • Whole-exome sequencing
  • Ancestry-mutation associations
  • Independent validation cohort

Methodology: Connecting Ancestry to Somatic Changes

The research approach involved several sophisticated genomic techniques:

Genetic Ancestry Estimation

Using computational tools to quantify global proportions of African, Asian, European, and Native American ancestry

Somatic Mutation Profiling

Identifying acquired genetic changes in tumors compared to normal tissue

Ancestry-Mutation Association

Examining correlations between genetic ancestry and specific mutational patterns

Independent Validation

Replicating findings in separate datasets to confirm results

Key Characteristics of LC3 Study Participants
Total Participants 718 individuals
Data Type Whole-exome sequencing of tumor/normal pairs
Ancestry Estimation African, Asian, European, and Native American proportions
Primary Analysis Association between ancestry and somatic mutational features
Validation Cohort MSK-IMPACT dataset

Groundbreaking Findings: Ancestry-Specific Mutational Patterns

The LC3 study revealed several significant connections between genetic ancestry and colorectal cancer biology:

  • Top mutated genes included APC, TP53, and KRAS across all participants, including the Latino subset 2
  • Tumors from Latino patients showed fewer KRAS and PIK3CA mutations compared to non-Latino patients 2
  • African genetic ancestry was significantly associated with KRAS mutation status and microsatellite instability 2
  • Native American ancestry was linked to a lower frequency of microsatellite instability-high tumors 2

These findings demonstrate that colorectal cancer does not present identically across populations, and that ancestry-informed genomics can reveal important biological differences that may influence cancer risk, progression, and treatment response.

Genetic Ancestry Associated Molecular Feature Potential Clinical Relevance
African Higher odds of KRAS mutations May impact response to EGFR inhibitors
African Associated with SMAD2 mutations Potential prognostic implications
Native American Lower MSI-H tumors May affect immunotherapy eligibility
Native American SBS11 mutational signature Potential diagnostic applications

Bridging the Gap: Integrating Germline and Somatic Data

The Power of Combined Analysis

Resolving variants of uncertain significance requires integrating two types of genetic information: germline variants (inherited genetic changes present in all cells) and somatic mutations (acquired genetic changes found only in tumor cells).

By analyzing both data types together, researchers can identify patterns that help distinguish harmless genetic variations from disease-driving mutations.

This integrative approach is particularly powerful in admixed populations like Hispanic/Latinos, where the combination of ancestral genetic backgrounds creates unique challenges and opportunities for variant interpretation.

Integrative Genomic Approach
Germline Variants

Inherited genetic changes present in all cells

Somatic Mutations

Acquired genetic changes found only in tumor cells

Integrated Analysis

Pattern recognition to distinguish pathogenic from benign variants

Clinical Application

Improved risk assessment and personalized treatment

Technical Approaches for VUS Resolution

Several cutting-edge methods are advancing VUS resolution:

Functional Studies

Using CRISPR/Cas9 gene editing to test thousands of variants simultaneously 6

Family Studies

Tracing variants in relatives with and without cancer 1

Population Databases

Expanding diverse genomic references to improve variant classification

Multi-omics Integration

Combining genomic data with transcriptomic, proteomic, and clinical information

Tool/Technique Function Application in VUS Resolution
Next-generation sequencing Comprehensive genetic analysis Identifying variants in cancer predisposition genes
CRISPR/Cas9 screening High-throughput functional testing Determining pathogenicity of thousands of variants 6
Ancestry estimation algorithms Quantifying genetic ancestry Connecting ancestral background to mutation patterns
Multi-omics platforms Integrating different data types Contextualizing variants within biological pathways
The BRCA2 Precedent: A Model for Progress

Recent research on BRCA2 variants offers a promising model for what's possible in colorectal cancer genetics. A landmark study used CRISPR/Cas9 targeting to analyze an astounding 7,000 BRCA2 variants, classifying 785 as pathogenic or likely pathogenic and about 5,600 as benign or likely benign 6 . This left only 608 as VUS—a dramatic reduction from the initial 5,500 VUS 6 .

This approach could be adapted for colorectal cancer genes, potentially reclassifying thousands of uncertain variants and providing clearer guidance for patients and clinicians.

The Path Forward: Toward Inclusive Genomic Medicine

Expanding Diverse Representation in Research

Addressing the VUS challenge requires fundamental changes to how genomic research is conducted. As noted in one study, "At present, there is much more extensive genomic information about people of European ancestry than any other group leading to many more VUS's in those other groups" 1 . Solving this problem requires:

  • Conscious inclusion of diverse populations in genetic studies
  • Community engagement to build trust and participation
  • Ethical frameworks that ensure equitable benefit from genomic advances
  • Collaborative consortia like the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) 8
Future Research Priorities
Diverse Population Inclusion High Priority
Functional Studies High Priority
Clinical Implementation Medium Priority
Policy Development Medium Priority

Clinical Implications and Future Directions

Improved Risk Assessment

Enabling better personalized cancer screening recommendations based on resolved VUS and ancestry-informed risk models.

Therapeutic Targeting

Identifying patients who may benefit from existing targeted therapies based on their specific genetic profile.

Drug Development

Revealing new ancestry-informed molecular targets for precision medicines tailored to diverse populations.

Reduced Disparities

Ensuring equitable access to advancing genomic medicine for all populations regardless of ancestry.

As research continues to unravel the complex interplay between genetic ancestry, somatic mutations, and cancer development, the goal remains clear: transforming variants of uncertain significance from sources of anxiety and clinical paralysis into actionable information that benefits all patients, regardless of their ethnic background.

From Uncertainty to Precision

The journey to resolve variants of uncertain significance in Hispanic/Latino colorectal cancer patients represents more than a technical challenge—it embodies the promise of truly equitable precision medicine.

By acknowledging and addressing the genomic diversity gap, researchers are not only solving a scientific problem but also advancing health justice.

As we continue to build more inclusive genomic databases and develop more sophisticated analytical approaches, we move closer to a future where genetic testing provides clear, actionable information for all patients, regardless of their ancestry. The resolution of VUS in Hispanic/Latino communities will mark a significant milestone in this journey, ensuring that the benefits of genomic medicine are shared by everyone.

References