Humans ; Sarcoma ; Transcription Factors ; Biomarkers, Tumor ; Oncogene Proteins, Fusion

OBJECTIVE: To analyze 43 leukemia genes in children with acute lymphoblastic leukemia (ALL) in Yunnan province, and provide the basis for the diagnosis and treatment of children with ALL in this area. METHODS: The clinical data of 428 children with newly diagnosed ALL in Yunnan area from January 2015 to December 2020 were retrospectively analyzed. Multiple nested PCR technology was used to detect 43 common leukemia genes. RESULTS: Among the 428 children with ALL, 159 were positive for leukemia genes, with a positive rate of 37.15% (159/428), and a total of 15 leukemia genes were detected. Among the 159 leukemia gene-positive children, ETV6-RUNX1⁺ accounted for 25.79% (41/159), followed by E2A-PBX1⁺ and BCR-ABL⁺, accounting for 24.53% (39/159) and 23.27% (37/159) respectively. MLL⁺ accounted for 6.29% (10/159), WT1⁺ accounted for 4.40% (7/159), IKZF1 gene deletion and CRLF2⁺ accounted for 3.77% (6/159) respectively. The positive rate of MLL (46.15%) was the highest in ＜1-year old group, the positive rate of ETV6-RUNX1 (10.56%) was the highest in 1-10-year old group, and BCR-ABL⁺ rate (23.65%) was the highest in >10-year old group. The distribution of leukemia genes in different age groups was statistically significant (P <0.05). CONCLUSION The most common fusion gene of children with ALL in Yunnan is ETV6-RUNX1, followed by E2A-PBX1 and BCR-ABL.
Child ; Humans ; Infant ; Child, Preschool ; Oncogene Proteins, Fusion/genetics* ; Fusion Proteins, bcr-abl/genetics* ; Core Binding Factor Alpha 2 Subunit/genetics* ; Retrospective Studies ; China ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/therapy* ; Genotype

BCR-ABL^T315I mutation is the main mechanism of resistance to the first and second generation tyrosine kinase inhibitor (TKI) for patients with chronic myeloid leukemia (CML). Ponatinib as the third generation TKI has been found that can significantly improve the prognosis of CML patients with T315I mutation. However, the latest report has discovered that the T315I compound mutant is even resistant to ponatinib, which aroused the enthusiasm of research on the mechanism of CML resistance and targeted therapy once again. Previous studies have shown that TKI combined with other targeted drugs is effective to CML patients with drug resistance or relapse due to T315I mutation. The latest research has found that the allosteric inhibitor asciminib combined with TKI therapy is equally effective to CML patients with T315I compound mutant, but the specific mechanism is not yet clarified. This review will focus on the latest research progress of therapy for CML with BCR-ABL^T315I mutation, hoping to provide reference for researching new drugs and improve therapy for treating CML with T315I mutation.
Humans ; Drug Resistance, Neoplasm/genetics* ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics* ; Fusion Proteins, bcr-abl/genetics* ; Protein Kinase Inhibitors/therapeutic use* ; Mutation ; Antineoplastic Agents/pharmacology*

OBJECTIVE: To establish a new digital polymerase chain reaction (dPCR) system for the detection of BCR-ABL fusion gene in patients with chronic myeloid leukemia (CML), and explore its analytical performance and clinical applicability in the detection of BCR-ABL^p190/210/230. METHODS: A new dPCR system for detecting BCR-ABL^p190/210/230 was successfully developed, and its sensitivity difference with qPCR and improvement of drug side effects in patients with CML during drug reduction or withdrawal were compared. RESULTS: Among 176 samples, qPCR and dPCR showed high consistency in the sensitivity of detecting BCR-ABL (82.39%), and the positive rate of dPCR was about 5 times higher that of qPCR (20.45% vs 3.98%). During follow-up, blood routine (25% vs 10%), kidney/liver/stomach (25% vs 20%) and cardiac function (10% vs 0) were significantly improved after drug reduction or withdrawal in patients with initial dPCR negative compared with before drug reduction or withdrawal. CONCLUSIONS This new dPCR detection system can be applied to the detection of BCR-ABL^p190/210/230. It has better consistency and higher positive detection rate than qPCR. Drug withdrawal or dose reduction guided by dPCR has a certain effect on improving drug side effects.
Humans ; Fusion Proteins, bcr-abl/genetics* ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis* ; Polymerase Chain Reaction ; Drug-Related Side Effects and Adverse Reactions ; Reverse Transcriptase Polymerase Chain Reaction

Objective: To analyze the clinical features, efficacy and prognosis factors of core binding factor (CBF) acute myeloid leukemia (AML) children in South China. Methods: This was a retrospective cohort study. Clinical data of 584 AML patients from 9 hospitals between January 2015 to December 2020 was collected. According to fusion gene results, all patients were divided into two groups: CBF-AML group (189 cases) and non-CBF-AML group (395 cases). CBF-AML group were divided into AML1-ETO subgroup (154 cases) and CBFβ-MYH11 subgroup (35 cases). Patients in CBF-AML group chosen different induction scheme were divided into group A (fludarabine, cytarabine, granulocyte colony stimulating factor and idarubicin (FLAG-IDA) scheme, 134 cases) and group B (daunorubicin, cytarabine and etoposide (DAE) scheme, 55 cases). Age, gender, response rate, recurrence rate, mortality, molecular genetic characteristics and other clinical data were compared between groups. Kaplan-Meier method was used for survival analysis and survival curve was drawn. Cox regression model was used to analyze prognostic factors. Results: A total of 584 AML children were diagnosed, including 346 males and 238 females. And a total of 189 children with CBF-AML were included, including 117 males and 72 females. The age of diagnosis was 7.3 (4.5,10.0)years, and the white blood cell count at initial diagnosis was 21.4 (9.7, 47.7)×10⁹/L.The complete remission rate of the first course (CR1) of induction therapy, relapse rate, and mortality of children with CBF-AML were significantly different from those in the non-CBF-AML group (91.0% (172/189) vs. 78.0% (308/395); 10.1% (19/189) vs. 18.7% (74/395); 13.2% (25/189) vs. 25.6% (101/395), all P<0.05). In children with CBF-AML, the CBFβ-MYH11 subgroup had higher initial white blood cells and lower proportion of extramedullary invasion than the AML1-ETO subgroup, with statistical significance (65.7% (23/35) vs. 14.9% (23/154), 2.9% (1/35) vs. 16.9% (26/154), both P<0.05). AML1-ETO subgroup had more additional chromosome abnormalities (75/154), especially sex chromosome loss (53/154). Compared with group B, group A had more additional chromosome abnormalities and a higher proportion of tumor reduction regimen, with statistical significance (50.0% (67/134) vs. 29.1% (16/55), 34.3% (46/134) vs. 18.2% (10/55), both P<0.05). Significant differences were found in 5-years event free survival (EFS) rate and 5-year overall survival (OS) rate between CBF-AML group and non-CBF-AML group ((77.0±6.4)%vs. (61.9±6.7)%,(83.7±9.0)%vs. (67.3±7.2)%, both P<0.05).EFS and OS rates of AML1-ETO subgroup and CBFβ-MYH11 subgroup in children with CBF-AML were not significantly different (both P>0.05). Multivariate analysis showed in the AML1-ETO subgroup, CR1 rate and high white blood cell count (≥50×10⁹/L) were independent risk factors for EFS (HR=0.24, 95%CI 0.07-0.85,HR=1.01, 95%CI 1.00-1.02, both P<0.05) and OS (HR=0.24, 95%CI 0.06-0.87; HR=1.01, 95%CI 1.00-1.02; both P<0.05). Conclusions: In CBF-AML, AML1-ETO is more common which has a higher extramedullary involvement and additional chromosome abnormalities, especially sex chromosome loss. The prognosis of AML1-ETO was similar to that of CBFβ-MYH11. The selection of induction regimen group FLAG-IDA for high white blood cell count and additional chromosome abnormality can improve the prognosis.
Male ; Female ; Humans ; Child ; Retrospective Studies ; RUNX1 Translocation Partner 1 Protein/genetics* ; Core Binding Factor Alpha 2 Subunit/therapeutic use* ; Prognosis ; Leukemia, Myeloid, Acute/genetics* ; Cytarabine/therapeutic use* ; Oncogene Proteins, Fusion/genetics* ; Chromosome Aberrations

Objective: To assess the clinical characteristics and prognosis of patients with SIL-TAL1-positive T-cell acute lymphoblastic leukemia (T-ALL) . Methods: The clinical data of 19 SIL-TAL1-positive T-ALL patients admitted to the First Affiliated Hospital of Soochow University between January 2014 and February 2022 were retrospectively computed and contrasted with SIL-TAL1-negative T-ALL patients. Results: The median age of the 19 SIL-TAL1-positive T-ALL patients was 15 (7 to 41 years) , including 16 males (84.2%) . SIL-TAL1-positive T-ALL patients had younger age, higher WBC, and hemoglobin compared with SIL-TAL1-negative T-ALL patients. There was no discrepancy in gender distribution, PLT, chromosome abnormality distribution, immunophenotyping, and complete remission (CR) rate. The 3-year overall survival (OS) was 60.9% and 74.4%, respectively (HR=2.070, P=0.071) . The 3-year relapse-free survival (RFS) was 49.2% and 70.6%, respectively (HR=2.275, P=0.040) . The 3-year RFS rate of SIL-TAL1-positive T-ALL patients was considerably lower than SIL-TAL1-negative T-ALL patients. Conclusion: SIL-TAL1-positive T-ALL patients were connected to younger age, higher WBC, higher HGB, and poor outcome.
Adolescent ; Adult ; Humans ; Male ; Young Adult ; Chromosome Aberrations ; Oncogene Proteins, Fusion/genetics* ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma ; Prognosis ; Recurrence ; Retrospective Studies ; T-Cell Acute Lymphocytic Leukemia Protein 1/genetics* ; T-Lymphocytes ; Female ; Child

Humans ; Receptor, Platelet-Derived Growth Factor beta ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Imatinib Mesylate ; Oncogene Proteins, Fusion/genetics* ; Trans-Activators

Objective: To investigate the clinicopathological and cytogenetic features of cryptic COL1A1-PDGFB fusion dermatofibrosarcoma protuberans (CC-DFSP). Methods: Three cases of CC-DFSP diagnosed in West China Hospital, Sichuan University, Chengdu, China from January 2021 to September 2021 were studied. Immunohistochemistry for CD34 and other markers, fluorescence in situ hybridization (FISH) for PDGFB, COL1A1-PDGFB and COL1A1, next-generation sequencing (NGS), reverse-transcriptase polymerase chain reaction (RT-PCR) and Sanger sequencing were performed. Results: There were three cases of CC-DFSP, including two females and one male. The patients were 29, 44 and 32 years old, respectively. The sites were abdominal wall, caruncle and scapula. Microscopically, they were poorly circumscribed. The spindle cells of the tumors infiltrated into the whole dermis or subcutaneous tissues, typically arranging in a storiform pattern. Immunohistochemically, the neoplastic cells exhibited diffuse CD34 expression, but were negative for S-100, SMA, and Myogenin. Loss of H3K27me3 was not observed in the tumor cells. The Ki-67 index was 10%-15%. The 3 cases were all negative for PDGFB rearrangement and COL1A1-PDGFB fusion, whereas showing unbalanced rearrangement for COL1A1. Case 1 showed a COL1A1 (exon 31)-PDGFB (exon 2) fusion using NGS, which was further validated through RT-PCR and Sanger sequencing. All patients underwent extended surgical resection. Except for case 3 with recurrence 2 years after surgical resection, the other 2 cases showed no recurrence or metastasis during the follow-up. Conclusions: FISH has shown its validity for detecting PDGFB rearrangement and COL1A1-PDGFB fusion and widely applied in clinical detection. However, for cases with negative routine FISH screening that were highly suspicious for DFSPs, supplementary NGS or at least COL1A1 break-apart FISH screening could be helpful to identify cryptic COL1A1-PDGFB fusions or other variant fusions.
Female ; Humans ; Male ; Collagen Type I, alpha 1 Chain ; Dermatofibrosarcoma/pathology* ; In Situ Hybridization, Fluorescence ; Oncogene Proteins, Fusion/genetics* ; Proto-Oncogene Proteins c-sis/genetics* ; Skin Neoplasms/pathology* ; Adult

Humans ; Child ; Dermatofibrosarcoma/surgery* ; Skin Neoplasms/surgery* ; Oncogene Proteins, Fusion/genetics*

Humans ; Sarcoma, Small Cell/pathology* ; Transcription Factors ; Gastrointestinal Tract/pathology* ; Oncogene Proteins, Fusion/genetics* ; Biomarkers, Tumor ; Soft Tissue Neoplasms