UNASSIGNED: We investigated the efficacy and safety of immune checkpoint inhibitor (ICI) rechallenge in patients with hepatocellular carcinoma (HCC) who received ICI-based therapies in a previous systemic line.
UNASSIGNED: In this international, retrospective multicenter study, patients with HCC who received at least two lines of ICI-based therapies (ICI-1, ICI-2) at 14 institutions were eligible. The main outcomes included best overall response and treatment-related adverse events.
UNASSIGNED: Of 994 ICI-treated patients screened, a total of 58 patients (male, n = 41; 71%) with a mean age of 65.0±9.0 years were included. Median systemic treatment lines of ICI-1 and ICI-2 were 1 (range, 1-4) and 3 (range, 2-9), respectively. ICI-based therapies used at ICI-1 and ICI-2 included ICI alone (ICI-1, n = 26, 45%; ICI-2, n = 4, 7%), dual ICI regimens (n = 1, 2%; n = 12, 21%), or ICI combined with targeted therapies/anti-VEGF (n = 31, 53%; n = 42, 72%). Most patients discontinued ICI-1 due to progression (n = 52, 90%). Objective response rate was 22% at ICI-1 and 26% at ICI-2. Responses at ICI-2 were also seen in patients who had progressive disease as best overall response at ICI-1 (n = 11/21; 52%). Median time-to-progression at ICI-1 and ICI-2 was 5.4 (95% CI 3.0-7.7) months and 5.2 (95% CI 3.3-7.0) months, respectively. Treatment-related adverse events of grade 3-4 at ICI-1 and ICI-2 were observed in 9 (16%) and 10 (17%) patients, respectively.
UNASSIGNED: ICI rechallenge was safe and resulted in a treatment benefit in a meaningful proportion of patients with HCC. These data provide a rationale for investigating ICI-based regimens in patients who progressed on first-line immunotherapy in prospective trials.
UNASSIGNED: Therapeutic sequencing after first-line immune checkpoint inhibitor (ICI)-based therapy for advanced hepatocellular carcinoma (HCC) remains a challenge as no available second-line treatment options have been studied in immunotherapy-pretreated patients. Particularly, the role of ICI rechallenge in patients with HCC is unclear, as data from prospective trials are lacking. We investigated the efficacy and safety of ICI-based regimens in patients with HCC pretreated with immunotherapy in a retrospective, international, multicenter study. Our data provide the rationale for prospective trials investigating the role of ICI-based regimens in patients who have progressed on first-line immunotherapy.

The crucial role of the immune system in the progression/regression of breast cancer (BC) should always be taken into account. Various immunotherapy approaches have been investigated for BC, including tumor-targeting antibodies (bispecific antibodies), adoptive T cell therapy, vaccines, and immune checkpoint blockade such as anti-PD-1. In addition, a combination of conventional chemotherapy and immunotherapy approaches contributes to improving patients\' overall survival rates. Although encouraging outcomes have been reported in most clinical trials of immunotherapy, some obstacles should still be resolved in this regard. Recently, personalized immunotherapy has been proposed as a potential complementary medicine with immunotherapy and chemotherapy for overcoming BC. Accordingly, this review discusses the brief association of these methods and future directions in BC immunotherapy.

A number of mechanisms have been proposed to explain the well-established link between diabetic status and an increased susceptibility to infection. Notably, diabetes has been shown to be one of the strongest factors influencing healthcare outcome in COVID-19 infections. Though it has long been noted that lymphocytes upregulate insulin receptors following immune activation, until recently, this observation has received little attention. Here, we point out key findings implicating dysregulated insulin signalling in immune cells as a possible contributing factor in the immune pathology associated with diabetes. Mechanistically, insulin, by activating the PI3K/Akt/mTOR pathway, regulates various aspects of both myeloid cells and lymphocytes, such as cell survival, metabolic reprogramming and the polarization and differentiation of immune cells. PI3K signalling is also supressed by immune checkpoint proteins, suggesting that insulin signalling may antagonize peripheral tolerance. Remarkably, it has also recently been shown that, following insulin binding, the insulin receptor translocates to the nucleus where it plays a key role in regulating the transcription of various immune-related genes, including pathways involved in viral infections. Taken together, these observations suggest that dysregulated insulin signalling may directly contribute to a defective immune response during COVID-19 infections.

OBJECTIVE: We investigated the clinical efficacy of immune checkpoint blocker (ICB) therapy for metastatic or advanced melanoma in Korean patients. As well, we assessed whether the effects of ICBs can be enhanced by combination therapy with palliative radiotherapy (RT).
METHODS: We retrospectively reviewed the records of 127 patients with metastatic melanoma who received ICB with or without palliative RT between 2014 and 2018. The melanoma subtypes were classified as follows: chronic sun-damaged (CSD), acral, mucosal, and uveal. The primary endpoint was the objective response rate (ORR).
RESULTS: The overall ORR was 15%, with 11 complete and eight partial responses. ORRs for CSD, acral/mucosal, and uveal melanomas were 50%, 16.5%, and 0%, respectively (p=0.009). In addition to the subtype, stage at treatment, total tumor burden at treatment, and ICB type were significantly associated with ORR (all p < 0.05). Palliative RT was administered in 44% of patients during the treatment, and it did not affect ORR. Clinical responders to ICB therapy exhibited significantly higher 1-year progression-free and overall survival rates than nonresponders.
CONCLUSIONS: ORR for ICB monotherapy in Korean patients with melanoma is relatively modest compared with that in Western patients because the non-CSD subtypes are predominant in the Korean population. Our findings regarding combination therapy with ICB provided a rationale for the initiation of our phase II study (NCT04017897).

At present, immune checkpoint inhibitors, such as pembrolizumab, are widely used in the therapy of advanced non-resectable melanoma, as they induce more durable responses than other available treatments. However, the overall response rate does not exceed 50% and, considering the high costs and low life expectancy of nonresponding patients, there is a need to select potential responders before therapy. Our aim was to develop a new personalization algorithm which could be beneficial in the clinical setting for predicting time to disease progression under pembrolizumab treatment.
We developed a simple mathematical model for the interactions of an advanced melanoma tumor with both the immune system and the immunotherapy drug, pembrolizumab. We implemented the model in an algorithm which, in conjunction with clinical pretreatment data, enables prediction of the personal patient response to the drug. To develop the algorithm, we retrospectively collected clinical data of 54 patients with advanced melanoma, who had been treated by pembrolizumab, and correlated personal pretreatment measurements to the mathematical model parameters. Using the algorithm together with the longitudinal tumor burden of each patient, we identified the personal mathematical models, and simulated them to predict the patient\'s time to progression. We validated the prediction capacity of the algorithm by the Leave-One-Out cross-validation methodology.
Among the analyzed clinical parameters, the baseline tumor load, the Breslow tumor thickness, and the status of nodular melanoma were significantly correlated with the activation rate of CD8+ T cells and the net tumor growth rate. Using the measurements of these correlates to personalize the mathematical model, we predicted the time to progression of individual patients (Cohen\'s κ = 0.489). Comparison of the predicted and the clinical time to progression in patients progressing during the follow-up period showed moderate accuracy (R2 = 0.505).
Our results show for the first time that a relatively simple mathematical mechanistic model, implemented in a personalization algorithm, can be personalized by clinical data, evaluated before immunotherapy onset. The algorithm, currently yielding moderately accurate predictions of individual patients\' response to pembrolizumab, can be improved by training on a larger number of patients. Algorithm validation by an independent clinical dataset will enable its use as a tool for treatment personalization.

Immune checkpoint inhibitors are a major breakthrough in the field of oncology. Targets for approved immune checkpoint inhibitors are cytotoxic T-lymphocytes-associated antigen 4 (CTLA-4) and programmed cell death receptor 1/ programmed cell death ligand 1 (PD-1/PD-L1). Five patients (four males and one female) were treated with immune checkpoint inhibitors for advanced melanoma (stage III). None of them had prior history of autoimmune disorders, AIDS, or sarcoidosis. The PET/CT imaging studies showed new onset lymphadenopathy suspicious for malignancy. Four patients had cutaneous melanoma and one had vaginal melanoma. Three patients were treated with single agent (two Nivolumab, one Ipilimumab) and two with double agents (Ipilimumab and Pembrolizumab, or Ipilimumab and Nivolumab). PET/CT showed mediastinal multistational lymphadenopathy in four cases and peri-portal lymphadenopathy in one patient. Ultrasound-guided fine needle aspiration (FNA) biopsy showed numerous sarcoid-like granulomatous inflammation, while the fungal and mycobacterial infections were excluded. Cytomorphologically, the granulomas were numerous, mostly large, cellular and non-necrotizing. Multi-nucleated giant were rare or not seen at all. Cell blocks did not show any fibrosis. Other adverse effects included mouth sores, flu-like symptoms, arthritis, muscle aches, skin rashes, mild and severe colitis. The treatment was stopped and patients received prednisone. One patient developed severe adrenal insufficiency, which prolonged prednisone tapering. Their condition improved and lymphadenopathy was resolved in follow-up imaging. Sarcoid-like granulomatous inflammation is an adverse event in patients treated with immune checkpoint therapy such as Ipilimumab and Nivolumab. It can present as enlarged lymph nodes in PET/CT imaging suspicious for malignancy. FNA can serve as a minimally invasive tool to investigate the underlying cause of lymphadenopathy in this subset of patients.

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