Researchers are uncovering how noncancerous cells surrounding tumors influence cancer progression, offering new insights into tumor biology. While cancer research has traditionally focused on malignant cells, scientists like Sylvia Plevritis and Gina Bouchard from Stanford Medicine emphasize the importance of studying the broader cellular environment. “Not all cells in a tumor are cancer cells,” explained Plevritis, senior author of the study published in Nature Communications. “There are many other cell types that support tumors.”

To better understand these interactions, the team developed the “colocatome,” a catalog documenting the spatial relationships between cancer and noncancerous cells. By analyzing which cells colocalize (attract each other) or anti-colocalize (repel each other), researchers can link these patterns to tumor behavior, such as drug resistance or aggressiveness. “It’s all about which cells tend to be together and which ones are rarely found together,” Bouchard explained.

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Using experimental lung cancer models and artificial intelligence, the team mapped cellular configurations and compared them with patient tumor biopsies. They confirmed that most colocalizations observed in patient tumors were replicated in lab models, validating their approach. One key finding involved fibroblasts, noncancerous cells that interact with cancer cells. When treated with an anti-tumor drug, cancer cells alone died; however, the presence of fibroblasts led to spatial reorganization that appeared to promote drug resistance. “It was like changing the furniture in the room, then finding the exits are blocked,” Plevritis said. 

The researchers aim to expand their colocatome database to explore why some cancers resist treatment and identify potential therapeutic targets. By employing AI to analyze spatial motifs across various cancers, they hope to uncover universal patterns of tumor behavior that could inform more effective treatments. As Plevritis stated, this work could guide future strategies for combating cancer more effectively.