Identification of cell surface markers for acute myeloid leukemia prognosis based on multi-model analysis

Given the extremely high inter-patient heterogeneity of acute myeloid leukemia(AML),the identification of biomarkers for prognostic assessment and therapeutic guidance is critical.Cell surface markers(CSMs)have been shown to play an important role in AML leukemogenesis and progression.In the current study,we evaluated the prognostic potential of all human CSMs in 130 AML patients from The Cancer Genome Atlas(TCGA)based on differential gene expression analysis and univariable Cox proportional hazards regression analysis.By using multi-model analysis,including Adaptive LASSO regression,LASSO regression,and Elastic Net,we constructed a 9-CSMs prognostic model for risk stratification of the AML patients.The predictive value of the 9-CSMs risk score was further validated at the transcriptome and proteome levels.Multivariable Cox regression analysis showed that the risk score was an independent prognostic factor for the AML patients.The AML patients with high 9-CSMs risk scores had a shorter overall and event-free survival time than those with low scores.Notably,single-cell RNA-sequencing analysis indicated that patients with high 9-CSMs risk scores exhibited chemotherapy resistance.Furthermore,PI3K inhibitors were identified as potential treatments for these high-risk patients.In conclusion,we constructed a 9-CSMs prognostic model that served as an independent prognostic factor for the survival of AML patients and held the potential for guiding drug therapy.

Evolution-driven crosstalk between glioblastoma and the tumor microenvironment

Glioblastoma(GBM)is a malignant adult brain tumor for which 90%of patients experience recurrence within a year after surgery1.Evolution confers treatment resistance capabilities on tumors2.The diversification of malignant and non-malignant(i.e.,stromal and immune cell)compartments in the tumor microenvironment(TME)during tumor evolution3-7 eventually results in the formation of a complex interaction network that promotes tumor progression.

A comparative genomics analysis of lung adenocarcinoma for Chinese population by using panel of recurrent mutations

Previous studies have demonstrated that Chinese lung adenocarcinoma(LUAD)patients have unique genetic characteristics,however,the specific genomic features relating to the development and treatment of LUAD in the Chinese population are not fully understood.Here,we applied the ultra-deep targeted sequencing to 66 Chinese LUAD samples,accompanied by comparative analysis with 162 Caucasian LUAD in The Cancer Genome Atlas.We focused on the 68 recurrently mutated genes and results revealed that the panel-based tumor mutational burden(pTMB)is significantly higher in the Chinese LUAD(P=0.0017).Additionally,the percentage of smoking-associated C>A transversion is significantly lower in Chinese LUAD(15.5%vs.39.7%,P=5.69×10^(-27)),while C>T transition is more frequent in Chinese LUAD(35.8%vs.25.7%,P=2.67×10^(-5)),which indicated the ethnic difference in mutation types.Notably,novel driver genes(GNAS and JAK1)that are peculiar to Chinese LUAD were identified,and a more convergent distribution of mutations was observed in the Chinese cohort(P=0.012)compared with scattered mutations in Caucasian LUAD.Our results present a distinct genomic profile of Chinese LUAD compared to Caucasians LUAD and elucidate the ethnic difference in mutation distribution besides the type and rate.

Role of the tumor microenvironment in shaping IDH-wildtype glioma plasticity,and potential therapeutic strategies

Diffuse glioma is the most common primary malignant brain tumor in adults.Currently,the prognosis of glioma remains dismal,and almost all patients with glioma experience recurrence even after comprehensive treatment including maximal surgical resection,radiotherapy,and/or chemotherapy1.Gliomas can be stratified according to their IDH mutation status.As we have previously reported2,3,the genetic characteristics,pathogenesis,and chemotherapy response are distinct between IDH-mutant and IDH-wildtype tumors.For instance,IDH-wildtype tumors are associated with poor prognosis and frequently have genomic alterations,including a gain of chromosome 7 and loss of chromosome 10.IDHmutant tumors often show findings including CpG island hypermethylation and MET alterations.

MET fusions and splicing variants convergently defne a subgroup of glioma sensitive to MET inhibitors

Purpose:Our previous study has shown that PTPRZ1-MET(ZM)fusion is a viable target for MET inhibitors in gliomas.However,the diversity and prevalence of somatic MET alterations in difuse gliomas are still elusive and need to be extensively characterized for identifying novel therapeutic targets.Methods:Totally,1,350 glioma patients and 31 patient-derived cells were collected from the Chinese Glioma Genome Atlas(CGGA)and published data.All kinds of MET fusions and/or splicing variants(MET F/SVs)were identifed by bioinformatical methods.Single-cell RNA sequencing(scRNA-seq)were used for validation.In vitro experiments of drug resistance were conducted for the possibility of MET-targeted treatment.Results:MET F/SVs but not genomic amplifcation,were highly enriched in the secondary glioblastomas(sGBM)and marked worse prognosis.Further molecular and scRNA-seq analysis revealed that MET F/SVs were induced in the course of glioma evolution and highly associated with MET overexpression.Subsequent in vitro and the clinical study showed that cells and patients harboring MET F/SVs have better response to MET inhibitors.Conclusion:Our fndings expanded the percentage of gliomas with abnormal MET alterations and suggested that a subgroup of gliomas harboring MET F/SVs may beneft from MET-targeted therapy.