Tumor treatment is facing a profound paradigm shift.

Although immunotherapy represented by PD-1/PD-L1 inhibitors has become a core weapon for humans to fight cancer, the harsh reality that its average response rate is only about 20% reveals the core bottleneck of the current diagnosis and treatment system — we still know little about the complex life structure inside tumors.

Traditional tumor analysis is like “touching an elephant blindfolded,” obtaining mixed molecular information while losing the crucial spatial clues that determine treatment success or failure.

The emergence of spatial medicine, by mapping the cellular GPS system inside tumors, is parsing the three-dimensional structure of the tumor microenvironment with unprecedented precision, opening a new path toward solving immunotherapy resistance and truly realizing personalized precision medicine.

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I. Spatial Biology: A Revolutionary Leap in Tumor Cognition

A tumor is not a homogeneous mass of cells, but rather a highly heterogeneous ecosystem composed of:

• Cancer cells
• Immune cells
• Stromal cells
• Vascular networks

The function and fate of a cell depend not only on its own gene expression, but also on:

• Its spatial coordinates within tissue
• Its neighborhood relationships with surrounding cells

Although single-cell sequencing technology can accurately identify cell types, it disrupts tissue structure during sample processing.

This is like demolishing every building in a city before conducting a population census — the spatial information is completely lost.

As a result, researchers cannot distinguish between:

• Immune cells actively infiltrating the tumor core
• Immune cells remaining at the tumor boundary

Yet these differences directly affect therapeutic response.

Spatial omics technologies represent a revolutionary leap.

While preserving intact tissue morphology, they assign precise “GPS coordinates” to each cell while simultaneously decoding:

• Gene expression
• Protein expression
• Metabolic information

Often described as the “GPS navigation system” of biology, spatial biology allows researchers to visualize tumor architecture with unprecedented clarity.

For the first time, scientists can observe the defense layout, cellular distribution, and signaling networks inside the tumor ecosystem.

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II. The “Cellular GPS Map” Is Redrawing Tumor Structure

The core technologies of spatial biology include:

• Spatial transcriptomics
• Spatial proteomics
• Spatial metabolomics

These technologies preserve the original positional relationships between cells on tissue sections, allowing construction of a true “cellular GPS map.”

This map not only identifies:

• What cell types are present

but more importantly reveals:

• Where the cells are located
• How they interact
• Whether immune cells penetrate the tumor core
• Whether the tumor microenvironment is “hot” or “cold”

For example, immune cells may exist in large numbers around the tumor boundary while being completely excluded from the tumor center.

This spatial difference often directly determines whether immunotherapy will work.

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III. Spatial Biology Is Driving Personalized Precision Medicine

The ultimate goal of spatial biology is to convert tumor spatial information into actionable clinical decisions.

This may fundamentally improve the relatively low response rates currently seen with immunotherapy.

1️⃣ Precise Prediction of Treatment Response

Current biomarkers such as:

• PD-L1 expression
• Tumor mutational burden (TMB)

often have prediction accuracy below 50%.

In contrast, multi-dimensional spatial models integrate:

• Cell density
• Cell distance
• Cellular interactions
• Immune infiltration patterns

Some studies suggest predictive accuracy may improve to 85%–90%.

This could help identify patients most likely to benefit from immunotherapy while avoiding ineffective treatment.

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2️⃣ Revealing Drug Resistance Mechanisms

Spatial biology can identify:

• Drug-resistant tumor niches
• Immunosuppressive regions
• Spatial immune escape mechanisms

This enables researchers to design more rational combination treatment strategies.

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3️⃣ Dynamic Monitoring During Treatment

By analyzing tumor samples collected at different treatment stages, spatial biology may allow:

• Real-time efficacy evaluation
• Monitoring of immune microenvironment changes
• Earlier identification of resistance

This supports dynamic treatment adjustment.

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4️⃣ Accelerating Innovative Drug Development

Spatial biology is also reshaping drug discovery itself.

Traditional drug screening based on:

• 2D cell models
• Xenograft models

often poorly reflects the real three-dimensional tumor environment.

As a result, clinical translation rates remain very low.

Spatial biology may dramatically improve drug development efficiency by enabling:

• Spatially targeted drug design
• Better biomarker selection
• More realistic tumor modeling

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IV. The Era of Spatial Precision Medicine Has Arrived

The rise of spatial medicine marks the beginning of a new era:

“Spatial Precision Medicine”

A complete transformation chain is emerging:

• Cellular GPS mapping
• Personalized treatment design
• Spatially targeted drug development
• Dynamic treatment optimization

In the future, every tumor patient may possess a personalized spatial digital twin of their tumor.

Based on this high-definition map, physicians may be able to:

• Predict therapeutic response
• Identify resistance mechanisms
• Design combination therapies
• Continuously optimize treatment strategies

Ultimately, immunotherapy response rates may potentially increase from around 20% toward 50% or even higher.

For DengYueMed, spatial biology is not only a scientific revolution, but also a strategic direction for future pharmaceutical innovation and precision healthcare services.

The company will continue to focus on cutting-edge biomedical technologies, integrate global pharmaceutical resources, and support the development of more precise, efficient, and personalized treatment solutions for patients worldwide.