Objective: This study aimed to investigate the clinical and prognostic significance of TET2 single nucleotide polymorphism I1762V in patients with acute myeloid leukemia (AML) . Methods: The high-throughput sequencing method was used to sequence 58 hematological tumor-related genes in bone marrow samples from 413 patients with AML. TET2 I1762V and other somatic mutations were annotated and compared with patients' clinical information and prognosis. Results: I1762V was found in 154 patients with AML, which was significantly different from the general population in NyuWa Chinese Population Variant Database (χ(2)=72.4, P<0.001) . I1762V was not related to sex, age, and karyotype of patients with AML (P>0.05) . Patients with I1762V had a significantly higher proportion of NPM1 and KIT gene mutations than others (P<0.001) . NPM1 and KIT mutations were mutually exclusive. The survival analysis results revealed that the overall survival (OS) and progression-free survival (PFS) of patients with AML with I1762V were significantly greater than those of wild-type patients (HR=0.57, P=0.030; HR=0.55, P=0.020) , whereas the OS and PFS in patients with AML with DNMT3A mutation (with or without I1762V mutation) were lower than those of wild-type patients (HR=1.79, P=0.030; HR=1.74, P=0.040) . Conclusion: TET2 SNP I1762V has been linked to AML. I1762V is a prognostic factor of patients with AML, which can be used to guide the treatment and evaluate the prognosis of AML.

Objective: This study aimed to investigate the prognostic significance of IKZF1 gene deletion in patients with acute B lymphoblastic leukemia (B-ALL) . Methods: The clinical data of 142 patients with B-ALL diagnosed in Nanfang Hospital between March 2016 and September 2019 were analyzed. Results: IKZF1 deletion was found in 36.0% of the 142 patients with B-ALL, whereas exon 4-7 deletion was found in 44.0% . White blood cell counts were higher in patients with the IKZF1 deletion (52.0% and 28.3% , P=0.005) ; these patients also experienced worse effects of mid-term induction therapy (40.0% and 70.7% , P<0.001) and had a higher proportion of Philadelphia chromosome-positive (52.0% and 21.7% , respectively, P<0.001) . Univariate analysis revealed that the 3-year overall survival rate (OS) and event-free survival rate (EFS) in the IKZF1 deletion group were significantly lower than the IKZF1 wild-type group [ (37.1±7.3) % vs (54.7±5.4) % , (51.8±7.9) % vs (73.9±4.7) % ; P=0.025, 0.013, respectively]. Multivariable analysis showed that harboring IKZF1 deletion was an adverse factor of EFS and OS (HR=1.744, 2.036; P=0.022, 0.020, respectively) . Furthermore, the IKZF1 deletion/chemotherapy group had significantly lower 3-year OS, EFS, and disease-free survival rates than other subgroups. In the IKZF1 deletion cohort, allo-hematopoietic stem cell transplantation (HSCT) significantly improved OS and EFS compared to non-allo-HSCT[ (67.9±10.4) % vs (31.9±11.0) % , (46.6±10.5) % vs (26.7±9.7) % ; P=0.005, 0.026, respectively]. Conclusion: Pediatric-inspired chemotherapy was unable to completely reverse the negative effect of IKZF1 deletion on prognosis. Pediatric-inspired regimen therapy combined with allo-HSCT, in contrast, significantly improved the overall prognosis of IKZF1 deletion B-ALL.

To summarize the clinical and laboratory characteristics of patients with acute myeloid leukemia (AML) with inv(16)/t(16;16) (p13.1;q22), and to analyze the risk factors affecting the prognosis of the patients.

Objective: To study the alterations of p16 gene and its expression in insulinoma and to correlate the findings with clinicopathological characteristics. Methods: Expression of p16 protein was detected in 72 insulinomas and 49 para-tumoral or normal pancreatic tissues by immunohistochemical staining. Genomic DNA was isolated from 32 tumor tissue and 17 paired pancreatic tissues and bisulfite-modified. Promoter methylation status of p16 gene was detected in 32 tumor tissue and 17 paired pancreatic tissues by methylation specific PCR. The findings were correlated with the clinicopathological features. Results: There were 30 males and 42 females in all 72 patients, aged (46.5±14.0) years. Loss or reduced expression of p16 protein was found in 42 of 72 insulinomas (58.3%) while loss or reduced expression of p16 was seen in only 34.7% (17/49) of para-tumoral or normal pancreatic tissues (χ²=6.52, P=0.011). Promoter methylation of p16 gene was found in 13 of 32 insulinomas (40.6%) and only 2 of 17 (11.8%) para-tumoral tissues (χ²=4.35, P=0.037). The expression of p16 protein in insulinoma was not associated with clinicopathological features such as gender, age, tumor size and tumor grade. Conclusions: Loss or reduced expression of p16 protein was found in insulinomas, and associated with p16 gene promoter methylation.

Objective: To investigate the clinical manifestations, imaging, pathological and molecular features of bronchopulmonary large-cell neuroendocrine carcinoma (LCNEC). Methods: The clinical data of 216 LCNEC patients in the First Affiliated Hospital of Zhengzhou University from 2011 to 2021 were analyzed retrospectively. The clinical manifestations, tumor location and size, characteristics of CT images, immunohistochemical and molecular pathological features were analyzed and compared with 115 cases of mixed small cell carcinoma (M-SCLC) diagnosed in the same period. Results: Among the 216 LCNEC patients, there were 190 males and 26 females, with a median age of 65 years. The first symptoms of the patients were mainly cough (106 cases, 49.1%) and bloody sputum (48 cases, 22.2%). The median tumor length were 4.7cm, including 55 cases of nodular type (25.5%) and 161 cases of mass-forming type (74.5%). CT imaging results showed that LCNEC lesions had soft tissue density, and the proportion of slight enhancement lesions was significantly lower than that in M-SCLC group (52.3% vs 74.8%, P<0.001). In contrast, the proportion of necrosis (87.0% vs 58.3%, P<0.001) and calcification (26.9% vs 2.6%, P<0.001) in LCNEC patients was significantly higher than that in M-SCLC group. Immunohistochemical results showed that the positive rate of CK in LCNEC was significantly higher than that in M-SCLC (99.0 % vs 90.5%, P<0.05), while the positive rate of TTF-1 was significantly lower than that in M-SCLC (51.6% vs 67.0%, P<0.05). In LCNEC group, the proportion of patients with Ki-67 positive index between 50% and 80% was significantly higher than that of M-SCLC (41.2% vs 25.2%), while the proportion between 80% and 100% was lower than that of M-SCLC (51.9% vs 72.2%). There was no significant difference in the positive rates of CD56 (91.7% vs 94.6%, P=0.336), Syn (83.8% vs 84.7%, P=0.838) and CgA (54.8% vs 50.0%, P=0.632) in both tumor types. Molecular pathology results showed that frequent mutatios were TP53 (54.5%), RB1 (36.4%), KEAP1 (18.2%), MYC(18.2%), and PTEN (14.3%), and the rate of tumor mutation burden which is more than 25 mutation/Mb was 27.3%. Conclusions: LCNEC lacks specific clinical manifestations. CT imaging is powerful in distinguishing LCNEC from M-SCLC. LCNEC contains a specific mutation spectrum. Pathology combined with immunohistochemical staining is still the gold standard for LCNEC diagnosis, and the differentiation from M-SCLC mainly depends on cell size and nuclear chromatin pattern with light microscopy.

The clinical therapeutic regimen for acute myeloid leukemia (AML) is not significantly different between adults and children, which is mostly based on IA (idarubicin and cytosine arabinoside) induction chemotherapy. With the rapid development of sequencing technique, people's understandings towards the molecular and biological abnormalities of AML are increasing, diverse AML gene mutation-based targeted drugs have been rapidly developed and applied. In this review, several commonly gene mutations in AML (such as FLT3, NPM1 and C/EBPA) was described, and the therapeutic effects and differences of targeted drugs that used in clinical treatment or had been reported (like tyrosine kinase inhibitor, IDH1 mutation inhibitor and epigenetic modification inhibitor) in child and adult AML patients were summrized.

AbstractObjective: To analyze the DNA methylation gene mutations of myeloproliferative neoplasm (MPN), and preliminarily explore its clinical features.

To explore the effect of CXCR4 on the treatment response and prognosis of Carfilzomib (CFZ) in multiple myeloma.

To investigate the expression and correlation of miR-211, miR-155, and C-myc in acute T lymphocytic leukemia (T-ALL), aiming to provide evidence for the diagnosis and treatment.

To investigate the mechanism of miR-155 promoting drug resistance of children B-ALL to Ara-C by regulating Wnt/β-Catenin signaling pathway.

To detect the expression level of suppressors of cytokine signaling 3 （SOCS3） in acute lymphoblastic leukemia (ALL), and to observe the effect of over-expresson of SOCS3 in Jurkat cells on the cytotoxicity of NK cells.

To summarize the clinical and laboratory characteristics of patients with acute myeloid leukemia (AML) with inv(16)/t(16;16) (p13.1;q22), and to analyze the risk factors affecting the prognosis of the patients.

To investigate the coexisting mutations and clinical significance of Homo sapiens neuroblastoma RAS viral oncogene homolog (NRAS) gene in acute myeloid leukemia (AML) patients.

To explore the relationship between the level of soluble HLA-E (sHLA-E) molecules in plasma and gene polymorphism and leukemia in Shenzhen of China.

Two sgRNAs transfected FLT3-ITD+AML cell line MV411 with different binding sites were introduced into CRISPR/cas9 to obtain MV411 cells with miR-155 gene knockout. To compare the efficiency of miR-155 gene knockout by single and double sgRNA transfection and their effects on cell phenotypes.

To establish an immune gene prognostic model of acute myeloid leukemia (AML) and explore its correlation with immune cells in bone marrow microenvironment.

Objective: To investigate the diagnostic value of long noncoding RNA (lncRNA) extracted from serum exosomes in epithelial ovarian cancer (EOC). Methods: (1) Patients with ovarian tumors who were hospitalized in the Affiliated Tumor Hospital of Guangxi Medical University from August 2018 to December 2019, including 35 cases of EOC patients (malignant group) and 20 cases of benign ovarian tumor patients (benign group) were collected; during the same period, 15 healthy women (normal group) who underwent physical examination in the Affiliated Tumor Hospital of Guangxi Medical University were used as controls. Fasting venous blood serum was collected from the above three groups of women, and serum exosomes were isolated and purified using commercial kits. The morphology of exosomal particles was observed with transmission electron microscope, and the particle size distribution of the exosomes was detected by NanoSight technology. The expression of specific proteins cluster of differentiation (CD)63, CD81, and tumor susceptibility gene 101 (TSG101) of exosomes were analyzed by western blot. (2) Four cases of EOC patients and three cases of healthy women were randomly selected. High-throughput sequencing technology was used to analyze the differentially expressed lncRNA in serum exosomes of these four EOC patients and three healthy women, and screen out the significantly differentially expressed lncRNA. The screened lncRNA with different expression levels was verified by quantitative reverse transcription-polymerase chain reaction (QRT-PCR) in these seven original clinical samples, furtherly confirmed and tested with QRT-PCR in larger clinical samples (a total of 70 serum samples). (3) The receiver operating characteristic (ROC) curve of the target lncRNA was drawn and its diagnostic indicators such as sensitivity and specificity were evaluated. By using logistic binary regression model, multi-factor joint diagnostic models were constructed and evaluated. Results: (1) Under transmission electron microscope, clear lipid bilayer structure was observed in serum exosomes, and one side presented a concave hemispheric or cup like structure; the peak diameter of the exosomal particles detected with NanoSight technology was 127.6 nm, and the particles between 30 and 150 nm accounted for 58.9%; western blot confirmed that the obtained (exosomal) particles could detect the expression of the marker proteins CD63, CD81, and TSG101. (2) Analysis of high-throughput sequencing technology showed that compared with the women in the normal sequencing group (3 cases), 425 differentially expressed lncRNAs (including 23 up-regulated and 402 down-regulated) were screened in the serum exosomes of the malignant sequencing group (4 cases). Six types of lncRNA with significantly abnormal expression levels (including FER1L6-AS2, LINC00470, LINC01811, CXXC4-AS1, LINC02343, and LINC02428) were randomly selected for original sample verification, and the results were consistent with the sequencing results. Subsequently, these six lncRNAs were used for larger samples QRT-PCR verification. Compared with the benign and normal groups, the expression of FER1L6-AS2, LINC00470 and LINC01811 in malignant group increased by 1.66 and 1.84-fold, 2.05 and 2.46-fold, 2.94 and 2.35-fold, respectively; the expressions of CXXC4-AS1, LINC02343 and LINC02428 were down-regulated to 29% and 34%, 40% and 46%, 42% and 42%, respectively. For the same lncRNA, there were statistical differences between the malignant group and the benign group, between the malignant group and the normal group (all P<0.05), and there were no statistical differences between the benign group and the normal group (all P>0.05). (3) The results showed that the area under curve (AUC) of these six lncRNAs ranged from 0.722 to 0.805, which had moderate diagnostic efficiency. To use logistic binary regression model to establish multi-indicator joint diagnostic models and establish different joint factor ROC curves. The results showed that the AUC of the joint factor prediction model 1 (composed of FER1L6-AS2 and LINC01811), the joint factor prediction model 2 (composed of CXXC4-AS1, LINC02343, and LINC02428), and the joint factor prediction model 3 (composed of FER1L6-AS2, CXXC4-AS1, LINC02343, and LINC02428) were 0.865, 0.934, and 0.962, respectively. The diagnostic efficacy of the combined factor prediction models was higher than that of the single lncRNA (all P<0.05). Conclusions: High-throughput sequencing technology is an effective method for screening out the different expression levels of lncRNA extracted from serum exosomes. The combined detection of multiple serum exosomal lncRNA indicators has a certain diagnostic efficacy for patients with EOC. Detection of serum exosomal lncRNA indicators will provide new ideas for the diagnosis of EOC.