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Tohoku Univ. Technology :Predictive Markers for the Efficacy of Immune Checkpoint Inhibitors:T25-021

Discovery of a Correlation Between Blood Levels of a Compound and Post-ICI Survival Time

Immune checkpoint inhibitors (ICIs) offer lasting treatment efficacy and improved survival for cancer patients, but positive responses are limited to select individuals and treatment costs are high, highlighting the need to predict benefit before therapy. Current predictive methods like PD-L1 testing mainly measure local tumor tissue expression and fail to fully assess systemic immunity. Researchers examined blood lysophosphatidylcholine (LPC) levels and clinical outcomes after ICI therapy in squamous cell carcinoma patients. They found that those with higher LPC had significantly prolonged survival post-ICI compared to those with lower levels. Because LPC is measurable in blood samples, it reflects systemic immune status and reduces patient burden by eliminating biopsies. This finding supports developing new clinical tests for predicting ICI effectiveness.​

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Tohoku University Technology: Prognostic Marker for Pancreatic Cancer: T18-068

The regulation of gene X expression by BACH1 is a key network involved in the epithelial-mesenchymal transition of pancreatic cancer.

Pancreatic cancer has long been positioned as an unmet medical need due to the lack of effective treatments and early diagnostic markers. This invention is supported by the confirmation that the transcription factor BACH1 suppresses the expression of FOXA1, which enhances the epithelial-mesenchymal transition of tumor cells. It relates to the use of BACH1 and FOXA1 as prognostic markers for pancreatic cancer. In pancreatic cancer cell lines with BACH1 knockdown, the mRNA levels of FOXA1 increased, while in cell lines with BACH1 overexpression, the expression levels of FOXA1 decreased (Figure 1). This confirms that FOXA1 is regulated by the expression of BACH1. Additionally, pancreatic cancer cell lines with BACH1 knockdown exhibited significantly reduced migratory and invasive abilities compared to controls (Figure 2). Furthermore, an analysis of the prognosis of pancreatic cancer patients revealed that those classified as BACH1 Low/FOXA1 High had the best prognosis, while those classified as BACH1 High/FOXA1 Low had the worst prognosis (Figure 3). This trend may be explained by the relationship with the metastatic/invasive potential of pancreatic cancer cells controlled by the BACH1-FOXA1 network.

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