Relationship between immune checkpoint proteins, tumour microenvironment characteristics, and prognosis in primary operable colorectal cancer.

The tumour microenvironment is an important factor for colorectal cancer prognosis, affecting the patient's immune response. Immune checkpoints, which regulate the immune functions of lymphocytes, may provide prognostic power. This study aimed to investigate the prognostic value of the immune checkpoints TIM-3, LAG-3 and PD-1 in patients with stage I-III colorectal cancer. Immunohistochemistry was employed to detect TIM-3, LAG-3, PD-1 and PD-L1 in 773 patients with stage I-III colorectal cancer. Immune checkpoint protein expression was assessed in tumour cells using the weighted histoscore, and in immune cells within the stroma using point counting. Scores were analysed for associations with survival and clinical factors. High tumoural LAG-3 (hazard ratio [HR] 1.45 95% confidence interval [CI] 1.00-2.09, p = 0.049) and PD-1 (HR 1.34 95% CI 1.00-1.78, p = 0.047) associated with poor survival, whereas high TIM-3 (HR 0.60 95% CI 0.42-0.84, p = 0.003), LAG-3 (HR 0.58 95% CI 0.40-0.87, p = 0.006) and PD-1 (HR 0.65 95% CI 0.49-0.86, p = 0.002) on immune cells within the stroma associated with improved survival, while PD-L1 in the tumour (p = 0.487) or the immune cells within the stroma (p = 0.298) was not associated with survival. Furthermore, immune cell LAG-3 was independently associated with survival (p = 0.017). Checkpoint expression scores on stromal immune cells were combined into a Combined Immune Checkpoint Stromal Score (CICSS), where CICSS 3 denoted all high, CICSS 2 denoted any two high, and CICSS 1 denoted other combinations. CICSS 3 was associated with improved patient survival (HR 0.57 95% CI 0.42-0.78, p = 0.001). The results suggest that individual and combined high expression of TIM-3, LAG-3, and PD-1 on stromal immune cells are associated with better colorectal cancer prognosis, suggesting there is added value to investigating multiple immune checkpoints simultaneously.

Gut γδ T cells as guardians, disruptors, and instigators of cancer.

Colorectal cancer is the third most common cancer worldwide with nearly 2 million cases per year. Immune cells and inflammation are a critical component of colorectal cancer progression, and they are used as reliable prognostic indicators of patient outcome. With the growing appreciation for immunology in colorectal cancer, interest is growing on the role γδ T cells have to play, as they represent one of the most prominent immune cell populations in gut tissue. This group of cells consists of both resident populations-γδ intraepithelial lymphocytes (γδ IELs)-and transient populations that each has unique functions. The homeostatic role of these γδ T cell subsets is to maintain barrier integrity and prevent microorganisms from breaching the mucosal layer, which is accomplished through crosstalk with enterocytes and other immune cells. Recent years have seen a surge in discoveries regarding the regulation of γδ IELs in the intestine and the colon with particular new insights into the butyrophilin family. In this review, we discuss the development, specialities, and functions of γδ T cell subsets during cancer progression. We discuss how these cells may be used to predict patient outcome, as well as how to exploit their behavior for cancer immunotherapy.

What is the potential of p53 isoforms as a predictive biomarker in the treatment of cancer?

INTRODUCTION: For decades, p53 was researched as a single protein with alterations described as mutants. The discovery of 12 human p53 isoforms expressed from 9 transcripts changed this perception, eloquently explaining the numerous roles p53 plays, including apoptosis, senescence, and regeneration. Area covered: Here, we summarise the p53 isoforms and their relevance to cancer to establish an understanding and theorise on potential applications of the isoforms in clinical practice. Expert commentary: Pertaining to the different expression of isoforms in different tumors, it is concluded that the clinical use of isoforms as prognostic and predictive biomarkers will be different depending on the cell type, the tissue origin of the tumors, the position of the TP53 mutation and the driver-oncogene.