Immunotherapy and Cancer: The Multi-Omics Perspective.

Immunotherapies have revolutionized cancer treatment approaches. Because not all patients respond positively to immune therapeutic agents, it represents a challenge for scientists who strive to understand the mechanisms behind such resistance. In-depth exploration of tumor biology, using novel technologies such as omics science, can help decode the role of the tumor immune microenvironment (TIME) in producing a response to the immune blockade strategies. It can also help to identify biomarkers for patient stratification and personalized treatment. This review aims to explore these new models and highlight their possible pivotal role in changing clinical practice.

Understanding the User's Point of View: When the Doctor Gets Sick with Cancer and Seeks Help.

Background: When physicians confront a serious personal illness, they may discover that the transition to the "sick" role is challenging and not easy. We conducted a qualitative study in which a group of doctors with cancer (DP) was compared with a group of patients with cancer, not doctors (NDP) but with a degree of education, qualifications, and a professional role comparable to that of a doctor. Objectives: The main objective was to evaluate the effect of the diagnosis and the treatment of cancer on both the patient's personal and professional life. It was also designed to understand the effect that the experience of cancer may have on the subsequent clinical practice of DP. Methods: The eligibility criteria included diagnosis of tumors of different sites and at any stage of disease treated with local (surgery, radiotherapy) or systemic (chemotherapy, hormonal, target) therapies or a combination of both; patients actively working. A semi-structured interview was used to collect information about the patient's cancer experiences. In both groups, six main themes and ten subthemes were identified. Results: From July to November 2021, 59 patients were enrolled in the study. Among them, 29 were DP and 30 were NDP. The median age and gender were 55.9 years ± 9.3 SD (range 38-82 y), M/F ratio 12/17 for DP, and 56.3 years ± 8.9 SD (range 40-83 y), M/F ratio 11/19 for NDP, respectively. The main themes were: theme 1, practical aspects related to diagnosis: most of the DP did not encounter difficulties in performing the tests necessary to confirm the diagnosis of cancer, unlike what was observed in NDP. Theme 2, cancer diagnosis experience: Many DP and NDP felt prepared for their own cancer experience. Two-thirds of DP already knew their cancer prognosis from their previous background knowledge and one-third of NDP did not want to discuss the prognosis in depth with their referring oncologists for the fear of learning that their cancer had a poor prognosis. Theme 3, treatment experience: for many DP, having a professional background contributed to more active participation in care and also in the management of side effects of treatments. Most NDP were satisfied with the treatment received in the hospital and the relationship with the health professionals. Theme 4, changes in work: None of the patients from both the groups stopped working permanently or lost their job because of the disease. A higher number of DP and NDP reported a loss of interest in their job. Theme 5, changes in personal/family life and friendships: more than half of the patients in both groups developed a new perspective on their private lives. Theme 6, comfort from faith: most of the patients in both groups who followed a faith, found comfort in that faith. For DP only, we explored the theme of the change in the doctor/patient relationship. Important findings from our study included positive changes in the doctor's clinical practice including having a more empathic relationship with patients, greater consideration of the psychological impact of cancer, and greater attention to certain symptoms of cancer reported by patients. Conclusion: This study suggests the need to know the special needs of professional patients, in particular, related to the emotional difficulties, maintenance of privacy, and the need for support on their return to work. These results can help to foster improvements in current cancer care practices.

Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer.

With the advent of whole-slide imaging (WSI), a technology that can digitally scan whole slides in high resolution, pathology is undergoing a digital revolution. Detecting microsatellite instability (MSI) in colorectal cancer is crucial for proper treatment, as it identifies patients responsible for immunotherapy. Even though universal testing for MSI is recommended, particularly in patients affected by colorectal cancer (CRC), many patients remain untested, and they reside mainly in low-income countries. A critical need exists for accessible, low-cost tools to perform MSI pre-screening. Here, the potential predictive role of the most relevant artificial intelligence-driven models in predicting microsatellite instability directly from histology alone is discussed, focusing on CRC. The role of deep learning (DL) models in identifying the MSI status is here analyzed in the most relevant studies reporting the development of algorithms trained to this end. The most important performance and the most relevant deficiencies are discussed for every AI method. The models proposed for algorithm sharing among multiple research and clinical centers, including federal learning (FL) and swarm learning (SL), are reported. According to all the studies reported here, AI models are valuable tools for predicting MSI status on WSI alone in CRC. The use of digitized H&E-stained sections and a trained algorithm allow the extraction of relevant molecular information, such as MSI status, in a short time and at a low cost. The possible advantages related to introducing DL methods in routine surgical pathology are underlined here, and the acceleration of the digital transformation of pathology departments and services is recommended.

CD44: A New Prognostic Marker in Colorectal Cancer?

Cluster of differentiation 44 (CD44) is a non-kinase cell surface glycoprotein. It is overexpressed in several cell types, including cancer stem cells (CSCs). Cells overexpressing CD44 exhibit several CSC traits, such as self-renewal, epithelial-mesenchymal transition (EMT) capability, and resistance to chemo- and radiotherapy. The role of CD44 in maintaining stemness and the CSC function in tumor progression is accomplished by binding to its main ligand, hyaluronan (HA). The HA-CD44 complex activates several signaling pathways that lead to cell proliferation, adhesion, migration, and invasion. The CD44 gene regularly undergoes alternative splicing, resulting in the standard (CD44s) and variant (CD44v) isoforms. The different functional roles of CD44s and specific CD44v isoforms still need to be fully understood. The clinicopathological impact of CD44 and its isoforms in promoting tumorigenesis suggests that CD44 could be a molecular target for cancer therapy. Furthermore, the recent association observed between CD44 and KRAS-dependent carcinomas and the potential correlations between CD44 and tumor mutational burden (TMB) and microsatellite instability (MSI) open new research scenarios for developing new strategies in cancer treatment. This review summarises current research regarding the different CD44 isoform structures, their roles, and functions in supporting tumorigenesis and discusses its therapeutic implications.

Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging.

Colorectal cancer (CRC) is a leading tumor worldwide. In CRC, the angiogenic pathway plays a crucial role in cancer development and the process of metastasis. Thus, anti-angiogenic drugs represent a milestone for metastatic CRC (mCRC) treatment and lead to significant improvement of clinical outcomes. Nevertheless, not all patients respond to treatment and some develop resistance. Therefore, the identification of predictive factors able to predict response to angiogenesis pathway blockade is required in order to identify the best candidates to receive these agents. Unfortunately, no predictive biomarkers have been prospectively validated to date. Over the years, research has focused on biologic factors such as genetic polymorphisms, circulating biomarkers, circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and microRNA. Moreover, research efforts have evaluated the potential correlation of molecular biomarkers with imaging techniques used for tumor assessment as well as the application of imaging tools in clinical practice. In addition to functional imaging, radiomics, a relatively newer technique, shows real promise in the setting of correlating molecular medicine to radiological phenotypes.

Durvalumab Plus Gemcitabine and Cisplatin Versus Gemcitabine and Cisplatin in Biliary Tract Cancer: a Real-World Retrospective, Multicenter Study.

BACKGROUND: The TOPAZ-1 phase III trial reported a survival benefit with the anti-programmed cell death ligand 1 (anti-PD-L1) durvalumab in combination with gemcitabine and cisplatin in patients with advanced biliary tract cancer (BTC). OBJECTIVE: The present study investigated for the first time the impact on survival of adding durvalumab to cisplatin/gemcitabine compared with cisplatin/gemcitabine in a real-world setting. PATIENTS AND METHODS: The analyzed population included patients with unresectable, locally advanced, or metastatic BTC treated with durvalumab in combination with cisplatin/gemcitabine or with cisplatin/gemcitabine alone. The impact of adding durvalumab to chemotherapy in terms of overall survival (OS) and progression free survival (PFS) was investigated with univariate and multivariate analysis. RESULTS: Overall, 563 patients were included in the analysis: 213 received cisplatin/gemcitabine alone, 350 received cisplatin/gemcitabine plus durvalumab. At the univariate analysis, the addition of durvalumab was found to have an impact on survival, with a median OS of 14.8 months versus 11.2 months [hazard ratio (HR) 0.63, 95% confidence interval (CI) 0.50-0.80, p = 0.0002] in patients who received cisplatin/gemcitabine plus durvalumab compared to those who received cisplatin/gemcitabine alone. At the univariate analysis for PFS, the addition of durvalumab to cisplatin/gemcitabine demonstrated a survival impact, with a median PFS of 8.3 months and 6.0 months (HR 0.57, 95% CI 0.47-0.70, p < 0.0001) in patients who received cisplatin/gemcitabine plus durvalumab and cisplatin/gemcitabine alone, respectively. The multivariate analysis confirmed that adding durvalumab to cisplatin/gemcitabine is an independent prognostic factor for OS and PFS, with patients > 70 years old and those affected by locally advanced disease experiencing the highest survival benefit. Finally, an exploratory analysis of prognostic factors was performed in the cohort of patients who received durvalumab: neutrophil-lymphocyte ratio (NLR) and disease stage were to be independent prognostic factors in terms of OS. The interaction test highlighted NLR ≤ 3, Eastern Cooperative Oncology Group Performance Status (ECOG PS) = 0, and locally advanced disease as positive predictive factors for OS on cisplatin/gemcitabine plus durvalumab. CONCLUSION: In line with the results of the TOPAZ-1 trial, adding durvalumab to cisplatin/gemcitabine has been confirmed to confer a survival benefit in terms of OS and PFS in a real-world setting of patients with advanced BTC.

Primary adrenal insufficiency induced by immune checkpoint inhibitors: biological, clinical, and radiological aspects.

Immune checkpoint inhibitors (ICI) have become a cornerstone in medical oncology, with evolving therapeutic strategies and applications. These monoclonal antibodies, designed to enhance immune responses, have revealed a spectrum of immune-related adverse events (irAEs). While many irAEs exhibit favorable responses to corticosteroid or immunosuppressive therapy, most ICI-related endocrinopathies necessitate lifelong replacement therapy and pose significant clinical challenges. Adrenal insufficiency (AI), a noteworthy endocrine irAE, can manifest as primary AI (PAI) or secondary AI (SAI), resulting from adrenal or pituitary gland dysfunction, respectively. ICI-induced AI, albeit relatively infrequent, occurs in 1-2% of patients receiving single-agent anti-Programmed Death-1/Programmed Death-Ligand 1 (PD-1/PD-L1) or Cytotoxic T-Lymphocyte Antigen 4 (CTLA-4) therapies and in a higher range of 4-9% when ICIs are used in combinations. Recognizing and addressing ICI-induced PAI is crucial, as it often presents with acute and potentially life-threatening symptoms, especially considering the expanding use of ICI therapy. This review provides an updated overview of ICI-induced PAI, exploring its clinical, diagnostic, and radiological aspects.