Exosomes and cancer immunotherapy: A review of recent cancer research

As phospholipid extracellular vesicles (EVs) secreted by various cells, exosomes contain non-coding RNA (ncRNA), mRNA, DNA fragments, lipids, and proteins, which are essential for intercellular communication. Several types of cells can secrete exosomes that contribute to cancer initiation and progression. Cancer cells and the immune microenvironment interact and restrict each other. Tumor-derived exosomes (TDEs) have become essential players in this balance because they carry information from the original cancer cells and express complexes of MHC class I/II epitopes and costimulatory molecules. In the present study, we aimed to identify potential targets for exosome therapy by examining the specific expression and mechanism of exosomes derived from cancer cells. We introduced TDEs and explored their role in different tumor immune microenvironment (TIME), with a particular emphasis on gastrointestinal cancers, before briefly describing the therapeutic strategies of exosomes in cancer immune-related therapy.

Predicting early post-chemotherapy adverse events in patients with hematological malignancies: a retrospective study

PURPOSE

The purpose of this study was to develop a mathematical model that predicts the definite adverse events following chemotherapy in patients with hematological malignancies (HMs).

METHODS

This is a retrospective cohort study including 1157 cases with HMs. Firstly, we screened and verified the independent risk factors associated with post-chemotherapy adverse events by both univariate and multivariate logistic regression analysis using 70 % of randomly selected cases (training set). Secondly, we proposed a mathematical model based on those selected factors. The calibration and discrimination of the model were assessed by Hosmer-Lemeshow (H-L) test and area under the receiver operating characteristic (ROC) curve, respectively. Lastly, the predicative power of this model was further tested in the remaining 30 % of cases (validation set).

RESULTS

Our statistical analysis indicated that liver dysfunction (OR = 2.164), active infection (OR = 3.619), coagulation abnormalities (OR = 4.614), intensity of chemotherapy (OR = 10.001), acute leukemia (OR = 2.185), and obesity (OR = 1.604) were independent risk factors for post-chemotherapy adverse events in HM patients (all P < 0.05). Based on the verified risk factors, a predictive model was proposed. This model had good discrimination and calibration. When 0.648 was selected as the cutoff point, the sensitivity and specificity of this predictive model in validation sets was 72.7 and 87.4 %, respectively. Furthermore, this proposed model's positive predictive value, negative predictive value, and consistency rate were 87.3, 73.0 and 80.0 %, respectively.

CONCLUSIONS

Our study indicated that this six risk factor-based mathematical model is accurate and sufficient enough to predict definite post-chemotherapy adverse events in a HM patient and it may aid clinicians to optimize treatment for a HM patient.

Target Therapy in Hematological Malignances: New Monoclonal Antibodies

Apart from radio- and chemotherapy, monoclonal antibodies (MoAbs) represent a new, more selective tool in the treatment of hematological malignancies. MoAbs bind with the specific antigens of the tumors. This interaction is a basis for targeted therapies which exhibit few side effects and significant antitumor activity. This review provides an overview of the functional characteristics of MoAbs, with some examples of their clinical application. The promising results in the treatment of hematological malignancies have led to the more frequent usage of MoAbs in the therapy. Development of MoAbs is a subject of extensive research. They are a promising method of cancer treatment in the future.

Combination of BCL11A siRNA with vincristine increases the apoptosis of SUDHL6 cells

Background

B cell chronic lymphocytic leukemia/lymphoma 11 A (BCL11A) is associated with human B cell malignancy initiation. Our previous study has shown that downregulation of BCL11A mRNA by small interfering RNA (siRNA) is capable of inducing apoptosis in the SUDHL6 cell line. To further explore the effects of BCL11A siRNA on the enhanced cytotoxicity of a chemotherapeutic drug, we investigated the effects of BCL11A siRNA combined with vincristine (VCR) on SUDHL6 cell proliferation and apoptosis.

Methods

Chemically synthesized BCL11A siRNA was transfected into SUDHL6 cells using the HiPerFect Transfection Reagent in combination with VCR. Cell proliferation was measured by the CCK8 assay. The morphology of apoptotic cells was observed with Hoechst 33258 staining. The rate of cell apoptosis was determined by annexin V-fluorescein isothiocyanate/propidium iodide double staining using fluorescence-activated cell sorting (FACS) analysis.

Results

After BCL11A siRNA plus VCR treatment, cell proliferation was significantly decreased in comparison with VCR or BCL11A siRNA treatment alone and negative control siRNA plus VCR treatment (P <0.05). The apoptotic rate of BCL11A siRNA plus VCR treated cells was significantly increased compared with BCL11A siRNA and VCR treatment alone and negative control siRNA plus VCR treatment (P <0.05).

Conclusions

The combination of BCL11A siRNA and VCR increases apoptosis in SUDHL6 cells. Our study implies that BCL11A siRNA in combination with VCR may be a useful approach for improving effective treatment for B cell lymphoma.