The Prognostic Significance of ZNF384 Fusions in Adult Ph-Negative B-Cell Precursor Acute Lymphoblastic Leukemia: A Comprehensive Cohort Study From a Single Chinese Center

FISH combined with RT-PCR facilitates classification of Chinese adult patients with B-other ALL through improved identification of ZNF384 rearrangement

ZNF384 gene rearrangements are a distinct subtype of adult B cell acute lymphoblastic leukemia (B-ALL). We screened 46 B-other ALL patients for ZNF384 fusions using fluorescent in situ hybridization (FISH) and reverse transcription-polymerase chain reaction (RT-PCR). Clinical data, treatment response, and minimal residual disease (MRD) status were analyzed. Ten (21.7%) patients were ZNF384-r positive (nine by FISH, nine by RT-PCR, eight by both). FISH showed atypical signals, including 3' signal gain and 5' signal deletion. EP300 was the main fusion partner (n = 5). TAF15::ZNF384, SYNRG::ZNF384, CREBBP::ZNF384, and TCF3::ZNF384 fusions were found in one patient each; one case's partner gene is unknown. One patient was MRD-negative at the end of the first induction, lower than in patients without ZNF384-r. ZNF384-r incidence matched B-other ALL incidence in Chinese patients. Combined FISH and RT-PCR improved detection. ALL with ZNF384-r has unique features, and lower MRD-negative response may indicate a negative impact on traditional treatments.

RGS1 and CREB5 are direct and common transcriptional targets of ZNF384-fusion proteins

BACKGROUND

ZNF384-fusion (Z-fusion) genes were recently identified in B-cell acute lymphoblastic leukemia (B-ALL) and are frequent in Japanese adult patients. The frequency is about 20% in those with Philadelphia chromosome-negative B-ALL. ZNF384 is a transcription factor and Z-fusion proteins have increased transcriptional activity; however, the detailed mechanisms of leukemogenesis of Z-fusion proteins have yet to be clarified.

METHODS

We established three transfectants of cell lines expressing different types of Z-fusion proteins, and analyzed their gene expression profile (GEP) by RNA-seq. We also analyzed the GEP of clinical ALL samples using our previous RNA-seq data of 323 Japanese ALL patients. We selected upregulated genes in both Z-fusion gene-expressing transfectants and Z-fusion gene-positive ALL samples, and investigated the binding of Z-fusion proteins to regulatory regions of the candidate genes by ChIP-qPCR.

RESULTS

We selected six commonly upregulated genes. After the investigation by ChIP-qPCR, we finally identified CREB5 and RGS1 as direct and common target genes. RGS1 is an inhibitor of CXCL12-CXCR4 signaling that is required for the homing of hematopoietic progenitor cells to the bone marrow microenvironment and development of B cells. Consistent with this, Z-fusion gene transfectants showed impaired migration toward CXCL12.

CONCLUSIONS

We identified CREB5 and RGS1 as direct and common transcriptional targets of Z-fusion proteins. The present results provide novel insight into the aberrant transcriptional regulation by Z-fusion proteins.

ZNF384 fusion transcript levels for measurable residual disease monitoring in adult B-cell acute lymphoblastic leukemia

Zinc finger protein 384 (ZNF384) rearrangement defined a novel subtype of B-cell acute lymphoblastic leukemia (B-ALL). The prognostic significance of ZNF384 fusion transcript levels represented measurable residual disease remains to be explored. ZNF384 fusions were screened out in 57 adult B-ALL patients at diagnosis by real-time quantitative polymerase chain reaction and their transcript levels were serially monitored during treatment. The reduction of ZNF384 fusion transcript levels at the time of achieving complete remission had no significant impact on survival, whereas its ≥2.5-log reduction were significantly associated with higher relapse free survival (RFS) and overall survival (OS) rates after course 1 consolidation (p = 0.022 and = 0.0083) and course 2 consolidation (p = 0.0025 and = 0.0008). Compared with chemotherapy alone, allogeneic hematopoietic stem cell transplantation (allo-HSCT) significantly improved RFS and OS of patients with <2.5-log reduction after course 1 consolidation (p < 0.0001 and = 0.0002) and course 2 consolidation (p = 0.0003 and = 0.019), whereas exerted no significant effects in patients with ≥2.5-log reduction (all p > 0.05). ZNF384 fusion transcript levels after course 1 and course 2 consolidation strongly predict relapse and survival and may guide whether receiving allo-HSCT in adult B-ALL.

ZNF384–ZEB1 feedback loop regulates breast cancer metastasis

Background

Breast cancer has become the most frequently diagnosed cancer worldwide. Increasing evidence indicated that zinc finger proteins (ZNFs), the largest family of transcription factors, contribute to cancer development and progression. Although ZNF384 is overexpressed in several types of human cancer, the role of ZNF384 in breast cancer remains unknown. Therefore, our research focused on ZNF384 regulation of the malignant phenotype of breast cancer and the underlying molecular mechanisms.

Methods

CCK-8 and colony formation assays were used to evaluate cell proliferation. Transwell and scratch assays were used to evaluate the cell migration and invasion. Chromatin immunoprecipitation (ChIP)-qPCR and luciferase reporter assays were used to confirm the target relationship between ZNF384 and zinc finger E-box binding homeobox 1 (ZEB1). Xenografts were used to monitor the targets in vivo effects.

Results

We noted that ZNF384 was significantly overexpressed in breast cancer and highlighted the oncogenic mechanism of ZNF384. ZNF384 transactivated ZEB1 expression and induced an epithelial and mesenchymal-like phenotype, resulting in breast cancer metastasis. Furthermore, ZNF384 may be a target of miR-485-5p, and ZEB1 can up-regulate ZNF384 expression by repressing miR-485-5p expression. Together, we unveiled a feedback loop of ZNF384–ZEB1 in breast cancer metastasis.

Conclusions

The findings suggest that ZNF384 can serve as a prognostic factor and a therapeutic target for breast cancer patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s10020-022-00541-1.

A case report of a fulminant Aeromonas hydrophila soft tissue infection in a patient with acute lymphoblastic leukemia harboring a rare translocation

INTRODUCTION

Aeromonads are gram-negative opportunistic bacteria, mainly found in aquatic environments. Hematologic patients are particularly at risk of Aeromonas soft tissue infections and septicemia, especially during chemotherapy-induced neutropenia.

CASE DESCRIPTION

A 46-year-old man was diagnosed with acute lymphoblastic leukemia characterized by the rare t(12;17)(p13;q21)/TAF15-ZNF384 aberration. On day 22 of chemotherapy, he developed febrile neutropenia followed by necrotizing fasciitis in his upper right extremity. Despite appropriate antibiotic therapy and prompt surgical intervention, he died within 36 h after the appearance of a fever. A multi-sensitive Aeromonas hydrophila was isolated from all cultural sites.

DISCUSSION AND CONCLUSIONS

In a previous paper we characterized the patient's aberration with cytogenetic and FISH analysis. Here, we provide details regarding the patient's rapidly progressing infection and underline the importance of maintaining high clinical suspicion of Aeromonas infections in acute leukemia. Given the unusually rapid progression of an infection caused by a rare non-resistant pathogen, and after considering data on the implication of metalloproteinase function in immune system regulation, a correlation between risk of severe infection and TAF15-ZNF384 aberrated acute lymphoblastic leukemia cannot be ruled out.

Immunophenotypic characteristics of ZNF384 rearrangement compared with BCR-ABL1, KMT2A rearrangement, and other adult B-cell precursor acute lymphoblastic leukemia

BACKGROUND

ZNF384 rearrangement has been recently identified as a new subtype of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). However, comprehensive studies clarifying immunophenotypic features and discriminating them from non-ZNF384 in adult BCP-ALL remain scarce to date.

METHODS

Flow cytometric assessments were retrospectively performed in 43 patients with ZNF384 rearrangement, 45 with BCR-ABL1, 29 with KMT2A rearrangement and 44 with other BCP-ALL in the analysis cohort.

RESULTS

CD33- and CD13-positive frequencies were significantly higher in patients with ZNF384 rearrangement than in those with non-ZNF384; however, no significant difference was observed in CD10- and CD123-positive frequencies. Analysis of antigen-positive cell proportion and median fluorescence intensity (MFI) further indicated that patients with ZNF384 rearrangement had significantly lower CD10 and higher CD33, CD13, and CD123 proportion and MFI. However, compared with KMT2A rearrangement, the CD10 expression in patients with ZNF384 rearrangement was higher, with the median percentage and MFI of 36.16 (3.63-94.79)% versus 4.53 (0.03-21.00)%, and 4.50 (0.86-32.26) versus 2.06 (0.87-4.04), respectively (p < 0.0001). Furthermore, compared with BCR-ABL1 and other BCP-ALL, ZNF384 rearrangement had significantly higher CD33 and CD13 proportion and MFI (p < 0.0001 and p < 0.05, respectively). In addition, higher CD123 proportion and MFI in ZNF384 rearrangement than those in the other three groups were reported for the first time (p < 0.01). A flow cytometry scoring system, including CD10%, CD33MFI, CD13%, and CD123MFI, was proposed and verified to predict ZNF384 rearrangement with high sensitivity and specificity, that is, 76.74% and 91.53% in the analysis and 87.50% and 91.30% in the validation cohort.

CONCLUSIONS

The multiparameter immunophenotypic scoring system could suggest ZNF384 rearrangement.

Single-cell analysis identifies dynamic gene expression networks that govern B cell development and transformation

Integration of external signals and B-lymphoid transcription factor activities organise B cell lineage commitment through alternating cycles of proliferation and differentiation, producing a diverse repertoire of mature B cells. We use single-cell transcriptomics/proteomics to identify differentially expressed gene networks across B cell development and correlate these networks with subtypes of B cell leukemia. Here we show unique transcriptional signatures that refine the pre-B cell expansion stages into pre-BCR-dependent and pre-BCR-independent proliferative phases. These changes correlate with reciprocal changes in expression of the transcription factor EBF1 and the RNA binding protein YBX3, that are defining features of the pre-BCR-dependent stage. Using pseudotime analysis, we further characterize the expression kinetics of different biological modalities across B cell development, including transcription factors, cytokines, chemokines, and their associated receptors. Our findings demonstrate the underlying heterogeneity of developing B cells and characterise developmental nodes linked to B cell transformation.