Recombinant human thrombopoietin combined with interleukin-2 improves the effects of chemosensitivity and thrombocytopenia on a basic gemcitabine and carboplatin combination therapy for non-small cell lung cancer in a nude mouse model

Evaluation of the relationship between inflammatory reaction and interleukins in ovine pulmonary adenocarcinomas

In this study, it was aimed to investigate the association between inflammatory reaction of tumoral microenvironments with interleukin responses in ovine pulmonary adenocarcinomas (OPAs). Material of the study consisted of 26 sheep lung tissue samples being brought to the Pathology Department for routine diagnosis. Cases were collected between years 2009 - 2021; pre-diagnosis was based on clinical symptoms, anamnesis and gross lesion of the lungs. These tissues were designated in two groups as control (n = 6) and OPA (n = 20) groups. Choice of immunohistochemical staining was avidin-biotin peroxidase method. Reverse transcription polymerase chain reaction (RT-PCR) was used to confirm Jaagsiekte sheep retrovirus from paraffin-embedded tissues. On gross examination of OPAs, lesions seen were mostly in the caudal lobes of the lung, 1.00 - 2.00 cm in diameter as gray-white consolidated foci and in microscopic observation, tumor cells showed acinar, papillary or mixed growths. No expressions of interleukin (2 and 8) were observed in the control group. All OPAs cases were positive for interleukins (2 and 8) expressions. A total of eight tissue samples were detected as positives through RT-PCR. In conclusion, in this study, it was determined that interleukin-2 and interleukin-8 were produced from tumor microenvironment elements, especially tumor-associated macrophages, and these interleukins showed pro-inflammatory effects. Interleukins and the inflammatory reaction may promote the development of OPA.

Clinical efficacy of recombinant human thrombopoietin combined with glucocorticoids in the treatment of immune thrombocytopenia

OBJECTIVE

Herein, we aimed to determine the clinical efficacy of recombinant human thrombopoietin (rhTPO) combined with glucocorticoids for treating immune thrombocytopenia (ITP).

METHODS

Clinical data of 87 patients with ITP admitted to our hospital were retrospectively analyzed, and patients were divided into two groups according to the treatment employed: 42 patients in the control group (CG) were prescribed glucocorticoids, and 45 patients in the study group (SG) received rhTPO combined with glucocorticoids.

RESULTS

The total effective treatment rate in the SG (95.56%) was higher than that in the CG (76.19%) (P < 0.05). The SG achieved a platelet (PLT) count > 50 × 10⁹/L faster and required fewer PLT transfusions than the CG (P < 0.05). At 1, 7, and 14 days after treatment, the PLT count increased in both groups and was higher in the SG than in the CG (P < 0.05). After treatment, CD3+, CD4+, and CD4+/CD8+ T cells increased, whereas CD8 + decreased in both groups, with the SG exhibiting a superior improvement to the CG (P < 0.05). Considering prothrombin time, activated partial thromboplastin time, and fibrinogen, differences between the two groups were not statistically significant, both before and after treatment (P > 0.05).

CONCLUSION

rhTPO combined with glucocorticoids for treating ITP can effectively enhance the therapeutic effect, regulate the T lymphocyte subpopulation, rapidly increase the PLT level, and induce no significant effect on the coagulation function of patients, with good safety and high clinical promotion value.

Identification of key candidate genes and pathways in anaplastic thyroid cancer by bioinformatics analysis

BACKGROUND

Anaplastic thyroid carcinoma (ATC) is a refractory and poor prognosis tumor Present study aimed to investigate the underlying biological functions and pathways involved in the development of ATC and to identify potential hub genes and candidate biomarkers of ATC.

MATERIALS AND METHODS

Bioinformatics analyses were performed to identify the differentially expressed genes (DEGs) between ATC tissue samples and adjacent normal tissue samples. Protein-protein interaction (PPI) networks of the DEGs were constructed using Search Tool for the Retrieval of Interacting Genes online tool and Cytoscape software and divided into sub-networks using the Molecular Complex Detection (MCODE) plug-in. DEGs in each module was analyzed by enrichment analysis of the KEGG Orthology Based Annotation System (KOBAS) web software version 3.0. Eventually, the hub genes from bioinformatics analysis were verified by qRT-PCR assay in different ATC cell lines.

RESULTS

Thirty hub genes were selected and three modules were built by the Cytoscape software from the PPI network. Seven genes (CDK1, CCNB2, BUB1B, CDC20, RRM2, CHEK1 and CDC45) were screened from thirty hub genes. Enrichment analysis showed that these hub genes were primarily accumulated in 'cell cycle', 'p53 signaling pathway', 'viral carcinogenesis', 'pyrimidine metabolism' and 'ubiquitin mediated proteolysis'. The results of qRT-PCR indicated that seven hub genes were unregulated in three ATC cell lines compared with normal thyroid gland cell.

CONCLUSIONS

These findings suggest that CDK1, CCNB2, BUB1B, CDC20, RRM2, CHEK1 and CDC45 may serve as novel diagnosis biomarkers and potential therapeutic target for ATC.