Clinical Outcomes In Cancer Patients Research Articles

Pretreatment body mass index and clinical outcomes in cancer patients following immune checkpoint inhibitors: a systematic review and meta-analysis.

This systematic review and meta-analysis aimed to evaluate the association between pretreatment body mass index (BMI) and clinical outcomes in cancer patients treated with immune checkpoint inhibitors (ICIs). Systematical searches of PubMed, Embase, and the Cochrane Library databases were carried out. Studies reporting on the association between BMI and outcomes of ICIs were included. The intended outcomes included overall survival (OS), progression-free survival (PFS), objective response rate (ORR) and immune-related adverse events (irAEs). Quantitative analyses and dose-response meta-analyses were performed under random effect models. Twenty-two eligible studies involving 5686 cancer patients treated with ICIs were identified. Compared to those with lower BMI, patients with higher BMI obtained a significant benefit on OS (HR = 0.698, 95% CI 0.614-0.794, P < 0.001; I2 = 45.9%) and PFS (HR = 0.760, 95% CI 0.672-0.861, P < 0.001; I2 = 37.9%). Most stratified analyses for OS and PFS also showed similar pooled risk estimates. For an increment of every 5kg/m2 in BMI, the risk for death reduced by approximately 15.6% (HR = 0.844, 95% CI 0.752-0.945, P = 0.003). Moreover, patients with higher BMI had a remarkably better ORR (OR = 0.468, 95% CI 0.263-0.833, P = 0.010; I2 = 73.6%) than that of those with lower BMI. However, no statistically significant differences were found in the incidence of any grade irAEs (P = 0.073) and ≥ 3 grade irAEs (P = 0.105) between higher and lower BMI. Higher BMI is significantly associated with improved outcomes in patients treated with ICIs. Further large-scale prospective research is warranted to better illuminate the association between BMI and outcomes from ICIs.

FoxP3+ T regulatory cells in cancer: Prognostic biomarkers and therapeutic targets.

T Regulatory cells (Tregs) can have both protective and pathological roles. They maintain immune homeostasis and inhibit immune responses in various diseases, including cancer. Proportions of Tregs in the peripheral blood of some cancer patients increase by approximately two-fold, compared to those in healthy individuals. Tregs contribute to cancer development and progression by suppressing T effector cell functions, thereby compromising tumor killing and promoting tumor growth. Highly immunosuppressive Tregs express upregulated levels of the transcription factor, Forkhead box protein P3 (FoxP3). Elevated levels of FoxP3+ Tregs within the tumor microenvironment (TME) showed a positive correlation with poor prognosis in various cancer patients. Despite the success of immunotherapy, including the use of immune checkpoint inhibitors, a significant proportion of patients show low response rates as a result of primary or acquired resistance against therapy. Some of the mechanisms which underlie the development of therapy resistance are associated with Treg suppressive function. In this review, we describe Treg contribution to cancer development/progression, and the mechanisms of Treg-mediated immunosuppression. We discuss the prognostic significance of FoxP3+ Tregs in different cancers and their potential use as prognostic biomarkers. We also describe potential therapeutic strategies to target Tregs in combination with other types of immunotherapies aiming to overcome tumor resistance and improve clinical outcomes in cancer patients. Overall, understanding the prognostic significance of FoxP3+ Tregs in various cancers and their contribution to therapy resistance could help in the development of more effective targeted therapeutic strategies to enhance the clinical outcomes in cancer patients.

Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.

With the tremendous development of artificial intelligence, many machine learning algorithms have been applied to the diagnosis of human cancers. Recently, rather than predicting categorical variables (e.g., stages and subtypes) as in cancer diagnosis, several prognosis prediction models basing on patients' survival information have been adopted to estimate the clinical outcome of cancer patients. However, most existing studies treat the diagnosis and prognosis tasks separately. In fact, the diagnosis information (e.g., TNM Stages) indicates the extent of the disease severity that is highly correlated with the patients' survival. While the diagnosis is largely made based on histopathological images, recent studies have also demonstrated that integrative analysis of histopathological images and genomic data can hold great promise for improving the diagnosis and prognosis of cancers. However, direct combination of these two types of data may bring redundant features that will negatively affect the prediction performance. Therefore, it is necessary to select informative features from the derived multi-modal data. Based on the above considerations, we propose a multi-task multi-modal feature selection method for joint diagnosis and prognosis of cancers. Specifically, we make use of the task relationship learning framework to automatically discover the relationships between the diagnosis and prognosis tasks, through which we can identify important image and genomics features for both tasks. In addition, we add a regularization term to ensure that the correlation within the multi-modal data can be captured. We evaluate our method on three cancer datasets from The Cancer Genome Atlas project, and the experimental results verify that our method can achieve better performance on both diagnosis and prognosis tasks than the related methods.

LINC00511 as a prognostic biomarker for human cancers: a systematic review and meta-analysis

BackgroundLong intergenic non-coding RNA 00511 (LINC00511) is highly expressed in diverse cancers and has a correlation with poor clinical outcomes for cancer patients. In view of contradictory data among published data, we aim to evaluate the prognostic role of LINC00511 for cancer patients.MethodsIn the present study, a meta-analysis of related studies has been performed to investigate the prognostic significance of LINC00511 in cancer patients. Relevant studies published before December 22, 2019 were systematically searched online in PubMed, EMBASE, Web of Science, and the Cochrane Library databases. The relationship between LINC00511 expression and cancer patients’ survival, including overall survival (OS), disease-free survival (DFS)/relapse-free survival (RFS) and progression-free survival (PFS), was evaluated using pooled hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs). The association between LINC00511 expression and clinicopathological features was assessed using odd ratios (ORs) and their corresponding 95% CIs.ResultsA total of 14 eligible studies with 1883 patients were enrolled in the present meta-analysis. The results demonstrated that elevated expression of LINC00511 was significantly associated with poor OS (HR = 2.62; 95% CI: 2.00–3.45; p < 0.001), PFS (HR = 1.80; 95% CI: 1.29–2.51; p = 0.001) and DFS/RFS (HR = 2.90; 95% CI: 1.04–8.12; p = 0.04). Additionally, High LINC00511 expression was associated with large tumor size (OR = 3.10; 95% CI: 1.97–4.86; p < 0.00001), lymph node metastasis (OR = 3.11; 95% CI: 2.30–4.21; p < 0.00001), advanced clinical stage (OR = 3.95; 95% CI: 2.68–5.81; p < 0.00001), distant metastasis (OR = 2.39; 95% CI: 1.16–4.93; p = 0.02), and disease recurrence (OR = 4.62; 95% CI: 2.47–8.65; p < 0.00001). Meanwhile, no correlation was found between LINC00511 expression and age, gender, and histological grade. These findings were consolidated by the results of bioinformatics analysis.ConclusionsBased on our findings, LINC00511 may serve as a novel prognostic biomarker for cancer patients.

MASTL: A novel therapeutic target for Cancer Malignancy.

Targeting mitotic kinases is an emerging anticancer approach with promising preclinical outcomes. Microtubule‐associated serine/threonine kinase like (MASTL), also known as Greatwall (Gwl), is an important mitotic kinase that regulates mitotic progression of normal or transformed cells by blocking the activity of tumor suppressor protein phosphatase 2A (PP2A). MASTL upregulation has now been detected in multiple cancer types and associated with aggressive clinicopathological features. Apart, an aberrant MASTL activity has been implicated in oncogenic transformation through the development of chromosomal instability and alteration of key oncogenic signaling pathways. In this regard, recent publications have revealed potential role of MASTL in the regulation of AKT/mTOR and Wnt/β‐catenin signaling pathways, which may be independent of its regulation of PP2A‐B55 (PP2A holoenzyme containing a B55‐family regulatory subunit). Taken together, MASTL kinase has emerged as a novel target for cancer therapeutics, and hence development of small molecule inhibitors of MASTL may significantly improve the clinical outcomes of cancer patients. In this article, we review the role of MASTL in cancer progression and the current gaps in this knowledge. We also discuss potential efficacy of MASTL expression for cancer diagnosis and therapy.

The Latest Findings of PD-1/PD-L1 Inhibitor Application in Gynecologic Cancers.

Gynecologic cancers account for approximately 11% of the newly diagnosed cancers in women in the United States and for 18% globally. The presence of tumor-infiltrating lymphocytes (TILs) influences the clinical outcome of cancer patients and immune checkpoint inhibitors (ICIs), including anti programmed cell death protein-1 (anti-PD-1), anti-programmed death-ligand 1 (anti-PD-L1), and anticytotoxic T-lymphocyte antigen 4 (anti-CTLA-4), which have been approved for treating different types of malignancies. Antibodies targeting the PD-1/PD-L1 checkpoint have shown dynamic and durable tumor regressions, suggesting a rebalancing of the host–tumor interaction. There are several the US food and drug administration (FDA)-approved ICIs targeting PD-1, including pembrolizumab and nivolumab, as well as those targeting PD-L1, including avelumab, atezolizumab, and durvalumab for melanoma, renal cell cancer, colorectal cancer, head and neck cancer, cervix cancer, urothelial cancer, and lung cancer. Current pre-clinical and clinical studies assessing PD-1/PD-L1 inhibitors in several gynecologic cancers have reported significant antitumor activity. In this review, we investigate pre-clinical and clinical studies that describe the safety and efficacy of anti-PD-1/PD-L1 antibodies, with a particular focus on ongoing clinical trials, analyzing the oncological outcome and adverse effects of ICIs in gynecologic cancers.

First-in-class candidate therapeutics that target mitochondria and effectively prevent cancer cell metastasis: mitoriboscins and TPP compounds.

Cancer stem cells (CSCs) have been proposed to be responsible for tumor recurrence, distant metastasis and drug-resistance, in the vast majority of cancer patients. Therefore, there is an urgent need to identify new drugs that can target and eradicate CSCs. To identify new molecular targets that are unique to CSCs, we previously compared MCF7 2D-monolayers with 3D-mammospheres, which are enriched in CSCs. We observed that 25 mitochondrial-related proteins were >100-fold over-expressed in 3D-mammospheres. Here, we used these 25 proteins to derive short gene signatures to predict distant metastasis (in N=1,395 patients) and tumor recurrence (in N=3,082 patients), by employing a large collection of transcriptional profiling data from ER(+) breast cancer patients. This analysis resulted in a 4-gene signature for predicting distant metastasis, with a hazard ratio of 1.91-fold (P=2.2e-08). This provides clinical evidence to support a role for CSC mitochondria in metastatic dissemination. Next, we employed a panel of mitochondrial inhibitors, previously shown to target mitochondria and selectively inhibit 3D-mammosphere formation in MCF7 cells and cell migration in MDA-MB-231 cells. Remarkably, these five mitochondrial inhibitors had only minor effects or no effect on MDA-MB-231 tumor formation, but preferentially and selectively inhibited tumor cell metastasis, without causing significant toxicity. Mechanistically, all five mitochondrial inhibitors have been previously shown to induce ATP-depletion in cancer cells. Since 3 of these 5 inhibitors were designed to target the large mitochondrial ribosome, we next interrogated whether genes encoding the large mitochondrial ribosomal proteins (MRPL) also show prognostic value in the prediction of distant metastasis in both ER(+) and ER(-) breast cancer patients. Interestingly, gene signatures composed of 6 to 9 MRPL mRNA-transcripts were indeed sufficient to predict distant metastasis, tumor recurrence and Tamoxifen resistance. These gene signatures could be useful as companion diagnostics to assess which patients may benefit most from anti-mito-ribosome therapy. Overall, our studies provide the necessary proof-of-concept, and in vivo functional evidence, that mitochondrial inhibitors can successfully and selectively target the biological process of cancer cell metastasis. Ultimately, we envision that mitochondrial inhibitors could be employed to develop new treatment protocols, for clinically providing metastasis prophylaxis, to help prevent poor clinical outcomes in cancer patients.

Clinical use of RNA sequencing and oncobox analytics to predict personalized targeted therapeutic efficacy.

e13676 Background: Analysis of mutation profiles in cancer patients does not provide clinical benefits in 80-90% of cases in the US (Marquart et al., 2018). Gene expression analysis potentially complements standard detection of clinically relevant mutations. Methods: 239 adult late-stage cancer patients. RNA gene expression sequencing completed on solid tumor samples using FFPE blocks. Patient mRNA profiles were analyzed using Oncobox bioinformatics, prioritizing target drugs according to their personalized predicted efficacy. Summary reports were provided to oncologists and resulting treatment selection and outcomes were assessed. Results: As of February 2020, feedback was received from participating doctors for 224 patients; 34 patients died before therapy prescription, 52 patients received treatment other than targeted therapy (chemo, surgery, radiation, or palliative care), 75 patients received at least one targeted therapy (single or combination therapy) predicted to be effective based on Oncobox analysis (“RNAseq cohort”). 63 patients received chemo or other drug therapy predicted to be potentially ineffective from Oncobox analysis (“other cohort”). Therapeutic response was obtained on 46 patients with biopsies collected no longer than 6 months prior to analysis who had no further surgery (30 in the RNAseq cohort and 16 in the other cohort). 63% of the RNAseq cohort obtained either partial response or stable disease using Oncobox guided therapies, compared to 44% of the other cohort (19% increase of disease control). The RNAseq cohort had higher mean prior therapies (1.3) compared to the other cohort (0.8) indicating more advanced disease. The similarly designed WINTHER trial reported ~8% increase of disease control using gene expression-guided vs mutation-guided therapeutics in a cohort of advanced cancer patients averaging three prior therapies (Rodon et al., 2019). Conclusions: Collectively these data suggest that gene expression profiling provides a more clinically relevant therapeutic match, and better response rates, than mutation guided therapeutic treatments. This potentially results in improved clinical outcomes for cancer patients. Clinical trial information: NCT03724097.

Clinical efficacy of immunotherapy for the treatment of solid tumors in patients with chronic kidney disease.

e15109 Background: Regulatory T cells play a key role in protecting kidney cells from ischemic injury. Immune checkpoint inhibitors (ICIs) may increase the risk of acute kidney injury via inhibition of regulatory T cells [1, 2]. Prospective clinical trials have largely excluded patients with chronic kidney disease (CKD); thus, we have limited knowledge of the safety and efficacy of ICI in these patients. Herein, we hypothesize that patients with CKD receiving ICIs have worse clinical outcomes. Methods: This single-institution retrospective cohort study included adult patients with solid tumors who were treated with ICIs at The Mount Sinai Hospital between 2011 and 2017. Clinical endpoints [response to treatment, progression of disease (POD) on treatment, mortality] were compared between patients with and without CKD using multivariate logistic regression. Odds ratios were controlled for demographics, primary tumor type, presence of cardiovascular comorbidities, smoking status, incidence of renal adverse events, and a composite of stage of illness with indication for treatment [localized—neoadjuvant, localized—adjuvant, regionally advanced, metastatic disease]. Data were analyzed using R version 3.5.1 with the following packages: readr, dplyr, broom, lubridate, tableone. Results: 420 patients met inclusion criteria: 399 patients without CKD and 21 patients with CKD. Cohorts are well matched for demographics, smoking status, stage/indication for treatment. The CKD cohort has a higher proportion of patients with urothelial cancer compared to patients without CKD (33% vs 11%) as well as a higher proportion of patients with HTN (81% vs 53%), HF (14% vs 3%), and DM (48% vs 21%). There was no statistical difference in odds of response to treatment [OR 0.76, 95% CI 0.26-2.23], POD [OR 0.42, 95% CI 0.15-1.17], or mortality [OR 2.05, 95% CI 0.71-5.96] between the CKD and non-CKD cohort. Conclusions: The data suggest the presence of CKD is not associated with worse clinical outcomes in cancer patients treated with ICIs. As a small retrospective study, the conclusions are hypothesis-generating but support continued use of immunotherapy in CKD in clinical practice and the inclusion of patients with CKD in immunotherapy clinical trials to further clarify safety and efficacy. [Table: see text]

Myeloid Cell-Derived Arginase in Cancer Immune Response

Amino acid metabolism is a critical regulator of the immune response, and its modulating becomes a promising approach in various forms of immunotherapy. Insufficient concentrations of essential amino acids restrict T-cells activation and proliferation. However, only arginases, that degrade L-arginine, as well as enzymes that hydrolyze L-tryptophan are substantially increased in cancer. Two arginase isoforms, ARG1 and ARG2, have been found to be present in tumors and their increased activity usually correlates with more advanced disease and worse clinical prognosis. Nearly all types of myeloid cells were reported to produce arginases and the increased numbers of various populations of myeloid-derived suppressor cells and macrophages correlate with inferior clinical outcomes of cancer patients. Here, we describe the role of arginases produced by myeloid cells in regulating various populations of immune cells, discuss molecular mechanisms of immunoregulatory processes involving L-arginine metabolism and outline therapeutic approaches to mitigate the negative effects of arginases on antitumor immune response. Development of potent arginase inhibitors, with improved pharmacokinetic properties, may lead to the elaboration of novel therapeutic strategies based on targeting immunoregulatory pathways controlled by L-arginine degradation.

Gene Expression Signature to Predict Prognosis and Adjuvant Chemosensitivity of Colorectal Cancer Patients.

PurposeMolecular characteristics using gene-expression profiling can undoubtedly improve the prediction of treatment responses, and ultimately, the clinical outcome of cancer patients. We aimed at developing a genetic signature to improve the prediction of chemosensitivity and prognosis of patients with colorectal cancer (CRC).Patients and MethodsWe analyzed microarray data of 32 CRC patients to explore the potential functions and pathways involved in the disease relapse in CRC. Gene expression profiles and clinical follow-up information of GSE39582, GSE17536, and GSE103479 were downloaded from the Gene Expression Omnibus database (GEO) to identify prognostic genes. Eventually, a model of 15-mRNA signature was established, in which its efficacy for predicting chemosensitivity and prognosis was examined.ResultsBased on the proposed model of 15-mRNA signature, the test series patients could be classified into high-risk or low-risk subgroup with significantly different overall survival (OS) rate (hazard ratio [HR]=1.48, 95% confidence interval [CI]=1.30–1.70, P≤0.001). The prognostic value of this 15-mRNA signature was confirmed in another validation series. Further analysis revealed that the prognostic value of this signature was independent of the TNM stage and can predict adjuvant chemosensitivity of patients with early-stage CRC.ConclusionWe identified a novel 15-mRNA signature in patients with CRC, which could be clinically helpful in the prognosis evaluation and the process of selection of patients with early-stage CRC for undergoing adjuvant chemotherapy.

Avenues to Precision Oncology

Until recently, the clinical management of cancer heavily relied on anatomical and histopathological criteria, with ad hoc guidelines directing the therapeutic choices in specific indications. In the last years, the development and therapeutic implementation of novel anticancer therapies significantly improved the clinical outcome of cancer patients. Nonetheless, such cutting-edge approaches revealed the limitation of the one-size-fits-all paradigm. The newly discovered molecular targets can be exploited either as bona fide targets for subsequent drug development, or as tools to precision medicine, in the form of prognostic and/or predictive biomarkers. This article provides an overview of some of the most recent advances in precision medicine in oncology, with a focus on novel tissue-agnostic anticancer therapies. The definition and implementation of biomarkers and companion diagnostics in clinical trials and clinical practice are also discussed, as well as the changing landscape in clinical trial design.

Cardiovascular Health and Outcomes in Cancer Patients Receiving Immune Checkpoint Inhibitors

Whether cardiovascular (CV) disease is associated with clinical outcomes in cancer patients receiving immunotherapy is unknown. We reviewed the Mayo Clinic database for all cancer patients who received an immune checkpoint inhibitor (ICI). Multivariate logistic regression analysis, survival analyses, and Cox proportional-hazards models were formulated. Between March, 2010 and July, 2019, 3,326 patients received ICI. Mean patient age was 63.5 years (range: 16 to 96 years). In a Cox proportional-hazards model, obesity (hazard ratio [HR] 0.65, 95% confidence level [CI] 0.55 to 0.77, p < 0.001) and hypercholesterolemia (HR 0.80, 95% CI 0.72 to 0.89, p < 0.001) were associated with lower all-cause mortality while hypertension (HR 1.32, 95% CI 1.17 to 1.49, p < 0.001) and smoking (HR 1.17, 95% CI 1.06 to 1.29, p = 0.002) were associated with higher overall mortality. Among patients with lung cancer, multivariable-adjusted hazard ratios for death from any cause for beta blocker users, as compared with patients who had never used a beta blocker, were 1.39 (95% CI 1.10 to 1.76, p = 0.006). A total of 80 patients (2.4%) experienced CV immune-related adverse events. Event-related morality for ICI-induced myocarditis was 41.7% (5/12). Multivariable-adjusted hazard ratios for ICI-induced myocarditis were 5.2 (95% CI 1.4 to 18.7, p = 0.01) for history of heart failure, 4.06 (95% CI 1.15 to 14.3, p = 0.03) for history of acute coronary syndrome, and 1.07 (per each 1-year increase, 95% CI 1.01 to 1.14, p = 0.02) for age. In conclusion, our study shows that CV factors are associated with clinical outcomes in cancer patients receiving ICI and could be used to predict mortality. In patients with lung cancer, pretreatment beta blocker use is associated with higher all-cause mortality. Three clinical factors-history of heart failure, history of acute coronary syndrome, and age greater than 80 years-help identify patients at higher risk of ICI-induced myocarditis who might benefit from more intensive cardiac surveillance.

Another side of the association between body mass index (BMI) and clinical outcomes of cancer patients receiving programmed cell death protein-1 (PD-1)/ Programmed cell death-ligand 1 (PD-L1) checkpoint inhibitors: A multicentre analysis of immune-related adverse events

BackgroundSeveral studies have found an association between higher body mass index (BMI) and improved clinical outcomes in cancer patients receiving programmed cell death protein-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) checkpoint inhibitors. In a previous study, we found that overweight/obese patients were significantly more likely to experience any grade immune-related adverse events (irAEs) compared to non-overweight patients. Patients and methodsWe conducted a 'real-life', multi centre, retrospective observational study aimed at comparing the incidence of irAEs among cancer patients treated with PD-1/PD-L1 inhibitors according to baseline BMI. ResultsOne thousand and seventy advanced cancer patients were evaluated. The median age was 68 years (range: 21–92), male/female ratio was 724/346. Primary tumours were: non-small-cell lung carcinoma (NSCLC) (653 patients), melanoma (233 patients), renal cell carcinoma (RCC) (152 patients) and others (29 patients). Median BMI was 25 (13.6–46.6); according to World Health Organisation (WHO) classification, 44 patients (4.1%) were defined as underweight, 480 patients (44.9%) as having a normal weight, 416 patients (38.9%) as overweight and 130 patients (12.1%) as obese. Higher BMI was significantly related to higher occurrence of any grade immune-related adverse events [irAEs] (p < 0.0001), G3/G4 irAEs (p < 0.0001) and irAEs leading to discontinuation (LTD) (p < 0.0001). Overweight and obesity were confirmed predictors for irAEs of any grade at both univariate and multivariate analysis. The adjusted odds ratios (ORs) (compared to normal-weight) were 10.6; 95% confidence interval (95%CI): 7.5–14.9 for overweight, and 16.6 (95%CI: 10.3–26.7) for obese patients. Obesity was the only factor significantly related to a higher incidence of G3/G4 irAEs (OR = 11.9 [95%CI: 6.4–22.3], p < 0.0001) and LTD irAEs (OR = 8.8 [95%CI: 4.3–18.2], p < 0.0001). Overweight and obese patients experienced a significantly higher occurrence of cutaneous, endocrine, gastro-intestinal (GI), hepatic and 'others' irAEs, compared to normal-weight patients. Only obese patients experienced a significantly higher occurrence of pulmonary and rheumatic irAEs, compared to normal-weight patients. ConclusionsConsidering the previously evidenced association between higher BMI and better outcome, the current finding about the relationship between BMI and irAEs occurrence can contribute to consideration of these findings as the upside of the downside, which underlies an 'immunogenic phenotype'.

BETA-BLOCKER USE IS ASSOCIATED WITH INCREASED ALL-CAUSE MORTALITY IN LUNG CANCER PATIENTS RECEIVING IMMUNE CHECKPOINT INHIBITORS

Whether beta blockers (BB) affect clinical outcomes in cancer patients receiving immunotherapy is unknown. We retrospectively reviewed our database for patients who received immune checkpoint inhibitors (CPI). Between 03/2010 and 07/2019, 3,326 patients received CPI. Use of BB prior to CPI was

Effect of genetic polymorphisms in CYP3A4, CYP3A5, and m-TOR on everolimus blood exposure and clinical outcomes in cancer patients.

Genetic variations in CYP3A4, CYP3A5, and m-TOR could contribute to interpatient variability regarding m-TOR inhibitors pharmacokinetics or cellular effects. The purpose of this study was to evaluate the influence of selected candidate variations in these genes on everolimus pharmacokinetics, efficacy, and toxicity in cancer patients. Thirty-four patients receiving everolimus for breast (n = 22) or renal (n = 10) cancers, or neuroendocrine tumors of pancreatic origin (n = 2) were included in the study. Six variants in genes related to everolimus pharmacokinetics (CYP3A4*22 and CYP3A5*3) or pharmacodynamics (m-TOR rs2295079, rs2295080, rs2024627 and rs1057079) were genotyped. Associations with trough concentrations (C0), dose reductions, or treatment interruptions due to toxicity and progression-free survival were investigated using generalized estimating equations and Cox models. CYP3A5 nonexpressers had significantly higher C0 as compared with expressers (βGG vs AG = + 6.32 ± 2.22 ng/mL, p = 0.004). m-TOR rs2024627 was significantly associated with an increased risk of cancer progression studied alone or as part of an haplotype (T vs C: HR = 2.60, 95% CI [1.16-5.80], p = 0.020; CTCG vs other haplotypes HR = 2.29, 95% CI [1.06-4.95], p = 0.035, respectively). This study showed that CYP3A5 expression impacts everolimus pharmacokinetics in cancer patients and identified a genetic variation in m-TOR associated with the risk of cancer progression.

PODXL2 maintains cellular stemness and promotes breast cancer development through the Rac1/Akt pathway.

The cluster of differentiation 34 (CD34) family, which includes CD34, podocalyxin-like protein 1 (PODXL), and PODXL2, are type-I transmembrane sialomucins and markers of hematopoietic stem cells (HSCs) and vascular-associated tissues. CD34 family proteins are expressed by endothelial cells and hematopoietic precursors. PODXL is well known to be associated with invadopodia formation and to promote the epithelial-mesenchymal transition, tumor migration and invasion. PODXL expression was correlated with poor survival of cancer patients. However, the role of PODXL2 in cancer has been less fully explored. To reveal the novel role of PODXL2 in breast cancer, the present study evaluated PODXL2 levels in relation to clinical outcomes of cancer patients by performing a bioinformatics analysis using the Oncomine database, Kaplan-Meier plots, and the CCLE database. Empirical validation of bioinformatics predictions was conducted utilizing the short hairpin (sh)-RNA silencing method for PODXL2 in the BT474 invasive ductal breast carcinoma cell line. The bioinformatics analysis revealed that PODXL2 overexpression was correlated with poor survival of breast cancer patients, suggesting an oncogenic role of PODXL2 in breast carcinoma. In a validation experiment, knockdown of PODXL2 in BT474 cells slightly influenced cell proliferation, suppressed migration, and inhibited expressions of downstream molecules, including Ras-related C3 botulinum toxin substrate 1 (Rac1), phosphorylated (p)-Akt (S473), and p-paxillin (Y31) proteins. In addition, knockdown of PODXL2 reduced expression levels of cancer stem cell (CSC) markers, including Oct-4 and Nanog, and the breast CSC marker aldehyde dehydrogenase 1 (ALDH1). Collectively, our present study demonstrated that PODXL2 plays a crucial role in cancer development and could serve as a potential prognostic biomarker in breast cancer patients.

Resident Memory T Cells in the Tumor Microenvironment.

Tissue-resident memory T (TRM) cells are strategically positioned within the epithelial layers of many tissues to provide enduring site-specific immunological memory. This unique T-cell lineage is endowed with the capacity to rapidly respond to tissue perturbations and has a well-documented role in eradicating pathogens upon reexposure. Emerging evidence has highlighted a key role for TRM cells in cancer immunity. Single-cell approaches have identified TRM cells among other CD8+ tumor-infiltrating lymphocyte (TIL) subsets, and their presence is a positive indicator of clinical outcome in cancer patients. Furthermore, recent preclinical studies have elegantly demonstrated that TRM cells are a critical component of the antitumor immune response. Given their unique functional abilities, TRM cells have emerged as a potential immunotherapeutic target. Here, we discuss TRM cells in the framework of the cancer-immunity cycle and in the context of the T cell- and non-T cell-inflamed tumor microenvironments (TME). We highlight how their core features make TRM cells uniquely suited to function within the metabolically demanding TME. Finally, we consider potential therapeutic avenues that target TRM cells to augment the antitumor immune response.

Self-assembling poly(ethylene glycol)-block-polylactide-cabazitaxel conjugate nanoparticles for anticancer therapy with high efficacy and low in vivo toxicity.

Traditional approaches used for transforming hydrophobic anticancer drugs into therapeutically available nanoparticles heavily rely on the noncovalent formulation of drugs within amphiphilic copolymers. However, these nanotherapies have not yet shown the expected favorable clinical outcomes in cancer patients, presumably due to their insufficient stability. To solve this dilemma, we conceive a new class of nanotherapies assembled with polymeric prodrugs that maintain pharmacological activity while substantially alleviate the drug toxicity in animals. By exploiting methoxypoly(ethylene glycol)-block-poly(D, L-lactic acid) (mPEG-PLA) as a promoiety, cabazitaxel is tethered to the terminus of the PLA fragment via a hydrolysable ester linkage. These conjugates recapitulate the self-assembly to produce colloidal stable nanotherapies. In a xenograft model of prostate cancer, this nanotherapy shows a durable inhibition of tumor progression upon the administration of a tolerable dose. Our results suggest that a hydrophobic and highly toxic drug can be rationally converted into a pharmacologically efficient and self-deliverable nanotherapy.

Early fatigue in cancer patients receiving PD-1/PD-L1 checkpoint inhibitors: an insight from clinical practice

BackgroundFatigue was reported as the most common any-grade adverse event (18.3%), and the most common grade 3 or higher immune-related adverse event (irAE) (0.89%) in patients receiving PD-1/PD-L1 checkpoint inhibitors in clinical trial.MethodsThe aim of this retrospective multicenter study was to evaluate the correlations between “early ir-fatigue”, “delayed ir-fatigue”, and clinical outcomes in cancer patients receiving PD-1/PD-L1 inhibitors in clinical practice.Results517 patients were evaluated. After the 12-weeks landmark selection, 386 (74.7%) patients were eligible for the clinical outcomes analysis. 40.4% were NSCLC, 42.2% were melanoma, 15.3% renal cell carcinoma and 2.1% other malignancies. 76 patients (19.7%) experienced early ir-fatigue (within 1 month from treatment commencement), while 150 patients (38.9%) experienced delayed ir-fatigue. Early ir-fatigue was significantly related to shortened PFS (HR = 2.29 [95% CI 1.62–3.22], p < 0.0001) and OS (HR = 2.32 [95% CI 1.59–3.38], p < 0.0001) at the multivariate analysis. On the other hand, we found a significant association between the occurrence of early ir-fatigue, ECOG-PS ≥ 2 (p < 0.0001), and disease burden (p = 0.0003). Delayed ir-fatigue was not significantly related to PFS nor OS.ConclusionsEarly ir-fatigue seems to be negative prognostic parameter, but to proper weight its role we must to consider the predominant role of performance status, which was related to early ir-fatigue in the study population.