t(5;12)(q31;p13)/ETV6::ACSL6 and t(6;9)(p23;q34)/DEK::NUP214 concurrence in acute myeloid leukemia: an unusual association of two rare abnormalities

Immunotherapy-relevance of a candidate prognostic score for Acute Myeloid Leukemia

Background

Acute Myeloid Leukemia (AML) exhibits a wide array of phenotypic manifestations, progression patterns, and heterogeneous responses to immunotherapies, suggesting involvement of complex immunobiological mechanisms. This investigation aimed to develop an integrated prognostic model for AML by incorporating cancer driver genes, along with clinical and phenotypic characteristics of the disease, and to assess its implications for immunotherapy responsiveness.

Methods

Critical oncogenic driver genes linked to survival were identified by screening primary effector and corresponding gene pairs using data from The Cancer Genome Atlas (TCGA), through univariate Cox proportional hazard regression analysis. This was independently verified using dataset GSE37642. Primary effector genes were further refined using LASSO regression. Transcriptomic profiling was quantified using multivariate Cox regression, and the derived prognostic score was subsequently validated. Finally, a multivariate Cox regression model was developed, incorporating the transcriptomic score along with clinical parameters such as age, gender, and French-American-British (FAB) classification subtype. The 'Accurate Prediction Model of AML Overall Survival Score' (APMAO) was developed and subsequently validated. Investigations were conducted into functional pathway enrichment, alterations in the gene mutational landscape, and the extent of immune cell infiltration associated with varying APMAO scores. To further investigate the potential of APMAO scores as a predictive biomarker for responsiveness to cancer immunotherapy, we conducted a series of analyses. These included examining the expression profiles of genes related to immune checkpoints, the interferon-gamma signaling pathway, and m6A regulation. Additionally, we explored the relationship between these gene expression patterns and the Tumor Immune Dysfunction and Exclusion (TIDE) dysfunction scores.

Results

Through the screening of 95 cancer genes associated with survival and 313 interacting gene pairs, seven genes (ACSL6, MAP3K1, CHIC2, HIP1, PTPN6, TFEB, and DAXX) were identified, leading to the derivation of a transcriptional score. Age and the transcriptional score were significant predictors in Cox regression analysis and were integral to the development of the final APMAO model, which exhibited an AUC greater than 0.75 and was successfully validated. Notable differences were observed in the distribution of the transcriptional score, age, cytogenetic risk categories, and French-American-British (FAB) classification between high and low APMAO groups. Samples with high APMAO scores demonstrated significantly higher mutation rates and pathway enrichments in NFKB, TNF, JAK-STAT, and NOTCH signaling. Additionally, variations in immune cell infiltration and immune checkpoint expression, activation of the interferon-γ pathway, and expression of m6A regulators were noted, including a negative correlation between CD160, m6A expression, and APMAO scores.

Conclusion

The combined APMAO score integrating transcriptional and clinical parameters demonstrated robust prognostic performance in predicting AML survival outcomes. It was linked to unique phenotypic characteristics, distinctive immune and mutational profiles, and patterns of expression for markers related to immunotherapy sensitivity. These observations suggest the potential for facilitating precision immunotherapy and advocate for its exploration in upcoming clinical trials.

A Novel Fatty Acid Metabolism-Associated Risk Model for Prognosis Prediction in Acute Myeloid Leukaemia

Acute myeloid leukaemia (AML) is the most common acute leukaemia in adults, with an unfavourable outcome and a high rate of recurrence due to its heterogeneity. Dysregulation of fatty acid metabolism plays a crucial role in the development of several tumours. However, the value of fatty acid metabolism (FAM) in the progression of AML remains unclear. In this study, we obtained RNA sequencing and corresponding clinicopathological information from the TCGA and GEO databases. Univariate Cox regression analysis and subsequent LASSO Cox regression analysis were utilized to identify prognostic FAM-related genes and develop a potential prognostic risk model. Kaplan-Meier analysis was used for prognostic significances. We also performed ROC curve to illustrate that the risk model in prognostic prediction has good performance. Moreover, significant differences in immune infiltration landscape were found between high-risk and low-risk groups using ESTIMATE and CIBERSOT algorithms. In the end, differential expressed genes (DEGs) were analyzed by gene set enrichment analysis (GSEA) to preliminarily explore the possible signaling pathways related to the prognosis of FAM and AML. The results of our study may provide potential prognostic biomarkers and therapeutic targets for AML patients, which is conducive to individualized precision therapy.

Myeloid neoplasm with ETV6::ACSl6 fusion: landscape of molecular and clinical features

OBJECTIVES

Since the publication of the third edition, the WHO classification of tumors of hematopoietic and lymphoid disorders has introduced the disease entity of 'myeloid/lymphoid neoplasms with eosinophilia and PDGFRB rearrangement', in which the most common chromosomal abnormality is t(5;12) (q32;p13.2), and this abnormality generates the ETV6::PDGFRB fusion gene. However, there have been patients with hematologic features and chromosomal abnormalities that are extremely similar to those carrying ETV6::PDGFRB fusion. These rare disorders harbor ETV6::ACSL6 fusion, and only sporadic cases have been reported at present.

METHODS

We report a patient with chronic eosinophilic leukemia (CEL) carrying chromosome translocation t(5;12)(q32;p13.2), and we present the clinical features. In addition, we conducted a literature review to collect all reported cases and summarized the genetic and clinical profiling as well as the treatments and outcomes.

RESULT

In addition to our patient, a total of 19 cases have been previously reported, including 6 variants of ETV6::ACSL6 and 3 reciprocals. We identified a novel variant of the ETV6::ACSL6 transcript in our patient, and the breakpoint was flanked by exon 2 of ETV6 and exon 2 of ACSL6. The cellular morphology features consisted of myeloproliferative neoplasm (MPN); myelodysplastic/myeloproliferative neoplasm (MDS/MPN), specifically CEL; and acute myelocytic leukemia (AML). The treatments and outcomes varied greatly depending on the type of disease, although tyrosine kinase inhibitors (TKIs) were not effective.

CONCLUSION

In contrast to neoplasms with ETV6::PDGFRB fusion, myeloid neoplasms with ETV6::ACSL6 fusion have unique characteristics.