Researchers from the Department of Breast Surgery at Fudan University Shanghai Cancer Center and the Department of Oncology at Shanghai Medical College, Fudan University have developed a new classification system for breast cancer based on the cancer-immunity cycle (CIC). Published in Cancer Biology & Medicine in 2026, this framework uses a “CIC score” to categorize patients into three distinct clusters, identifying specific immune-evasion mechanisms that predict how tumors respond to immune checkpoint inhibitors (ICIs).
How the CIC Score Classifies Breast Cancer
The anti-tumor immune response follows a specific sequence, starting with the release of cancer antigens and ending with the destruction of malignant cells. According to the study published in Cancer Biology & Medicine (DOI: 10.20892/j.issn.2095-3941.2025.0611), a breakdown at any stage in this cycle can cause immunotherapy to fail.

The research team created a scoring system to measure the efficiency of six key steps in this cycle. Based on these scores, patients are grouped into three clusters:
- C1 (Immune-Cold): Characterized by low immune infiltration and a high presence of immunosuppressive M2 macrophages. These patients typically face a poor prognosis.
- C2 (Intermediate): A unique subtype defined by a defect in antigen presentation. Despite having a high tumor mutational burden, these patients struggle to respond to standard ICIs.
- C3 (Immune-Hot): These tumors show high levels of active T cells and immune cell infiltration, making them the most responsive group for ICI therapy.
Why the C2 Subtype Challenges Current Immunotherapy
The C2 subtype presents a complex hurdle for clinicians. According to the researchers, these tumors possess a high tumor mutational burden, which generally signals that a patient might respond well to immunotherapy. However, C2 tumors exhibit frequent human leukocyte antigen (HLA) loss of heterozygosity.
This genetic loss prevents the immune system from effectively “seeing” the cancer. Furthermore, the tumor microenvironment in C2 patients is crowded with dysfunctional dendritic cells and regulatory T cells (Tregs). Multi-omic analyses revealed that C2 tumors are heavily dependent on serine metabolism, specifically identifying the enzyme PSAT1 as a key regulator. Knocking down PSAT1 in cancer cells reduced the expression of immunosuppressive molecules like PD-L1 and TGFB1.
Future Trends in Targeted Combination Therapy
The development of the CIC score suggests a shift toward personalized, mechanism-based combination therapies. Rather than applying a one-size-fits-all approach to immunotherapy, future clinical strategies may be tailored to the specific “break” in the cycle identified by the score.
For C1 patients, the goal is to convert an “immune-cold” environment into a “hot” one. For C2 patients, researchers point toward strategies that enhance antigen presentation, such as targeting the PSAT1 enzyme or overcoming HLA loss. This data-driven approach aims to expand the range of patients who benefit from ICIs while sparing those unlikely to respond from unnecessary treatment side effects.
Frequently Asked Questions
What is the cancer-immunity cycle?
It is a conceptual framework mapping the steps the immune system takes to identify and destroy tumor cells, from antigen release to the final killing of the cell.
Why do some breast cancer patients not respond to ICIs?
According to the study, patients often fail to respond because of a “break” or defect in one of the six steps of the cancer-immunity cycle.
What is the significance of the PSAT1 enzyme?
PSAT1 was identified as a metabolic regulator in the C2 subtype. Researchers found that targeting this enzyme can reduce immunosuppressive markers, potentially making tumors more vulnerable to treatment.
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