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  1. Article ; Online: Developing a machine learning-based short form of the positive and negative syndrome scale.

    Lin, Gong-Hong / Liu, Jen-Hsuan / Lee, Shih-Chieh / Wu, Bo-Jian / Li, Shu-Qi / Chiu, Hsien-Jane / Wang, San-Ping / Hsieh, Ching-Lin

    Asian journal of psychiatry

    2024  Volume 94, Page(s) 103965

    Abstract: Background and hypothesis: The Positive and Negative Syndrome Scale (PANSS) consists of 30 items and takes up to 50 minutes to administer and score. Therefore, this study aimed to develop and validate a machine learning-based short form of the PANSS ( ... ...

    Abstract Background and hypothesis: The Positive and Negative Syndrome Scale (PANSS) consists of 30 items and takes up to 50 minutes to administer and score. Therefore, this study aimed to develop and validate a machine learning-based short form of the PANSS (PANSS-MLSF) that reproduces the PANSS scores. Moreover, the PANSS-MLSF estimated the removed-item scores.
    Study design: The PANSS-MLSF was developed using an artificial neural network, and the removed-item scores were estimated using the eXtreme Gradient Boosting classifier algorithm. The reliability of the PANSS-MLSF was examined using Cronbach's alpha. The concurrent validity was examined by the association (Pearson's r) between the PANSS-MLSF and the PANSS. The convergent validity was examined by the association (Pearson's r) between the PANSS-MLSF and the Clinical Global Impression-Severity, Mini-Mental State Examination, and Lawton Instrumental Activities of Daily Living Scale. The agreement of the estimated removed-item scores with their original scores was examined using Cohen's kappa.
    Study results: Our analysis included data from 573 patients with moderate severity. The two versions of the PANSS-MLSF comprised 15 items and 9 items were proposed. The PANSS-MLSF scores were similar to the PANSS scores (mean squared error=2.6-24.4 points). The reliability, concurrent validity, and convergent validity of the PANSS-MLSF were good. Moderate to good agreement between the estimated removed-item scores and the original item scores was found in 60% of the removed items.
    Conclusion: The PANSS-MLSF offers a viable way to reduce PANSS administration time, maintain score comparability, uphold reliability and validity, and even estimate scores for the removed items.
    MeSH term(s) Humans ; Activities of Daily Living ; Reproducibility of Results ; Psychometrics
    Language English
    Publishing date 2024-02-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2456678-0
    ISSN 1876-2026 ; 1876-2018
    ISSN (online) 1876-2026
    ISSN 1876-2018
    DOI 10.1016/j.ajp.2024.103965
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Contrasting effects of plant-soil feedbacks on growth and morphology of physically-connected daughter and mother ramets in two clonal plants

    Xue, Wei / Huang, Lin / Sheng, Wei-Jia / Zhu, Jia-Tao / Li, Shu-Qi / Yu, Fei-Hai

    Plant and soil. 2022 Mar., v. 472, no. 1-2

    2022  

    Abstract: AIM: Soil abiotic and biotic conditions are often spatially variable, challenging plants with a heterogeneous environment consisting of favorable and unfavorable patches of soil. Many stoloniferous clonal plants can escape from unfavorable patches by ... ...

    Abstract AIM: Soil abiotic and biotic conditions are often spatially variable, challenging plants with a heterogeneous environment consisting of favorable and unfavorable patches of soil. Many stoloniferous clonal plants can escape from unfavorable patches by elongating stolon internodes, but aggregate in favorable ones through shortening stolon internodes. However, whether the connected mother and daughter ramets of these plants can use their stolons to respond to plant-soil feedbacks (PSFs) is largely unknown. METHODS: In the conditioning phase, we grew either Hydrocotyle vulgaris or Glechoma longituba clonal plants separately in mesocosms to condition bulk soil. In the feedback phase, we grew connected mother and daughter ramets of each species in soil inoculated with the unsterilized or sterilized soil conditioned by conspecifics. We grew the plants for 12 weeks and measured the growth of the mother and daughter ramets separately. RESULTS: The daughter ramets of H. vulgaris produced more biomass, greater number of ramets and longer stolon internodes when grown in soil with sterilized inocula than with unsterilized inocula. However, no difference was found for the daughter ramets of G. longituba. In general, for both species, soil inoculum treatment on the mother ramet did not influence the performance of daughter or mother ramets. CONCLUSIONS: We conclude that biotic PSFs differed not only among different species, but also in physically-connected ramets of the same clone. Moreover, physiological integration or plasticity in stolon internode lengths cannot help H. vulgaris alleviate the negative effects of PSFs.
    Keywords Glechoma ; Hydrocotyle vulgaris ; biomass ; clones ; inoculum ; soil ; soil sterilization ; stolons
    Language English
    Dates of publication 2022-03
    Size p. 479-489.
    Publishing place Springer International Publishing
    Document type Article
    ZDB-ID 208908-7
    ISSN 1573-5036 ; 0032-079X
    ISSN (online) 1573-5036
    ISSN 0032-079X
    DOI 10.1007/s11104-021-05266-4
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Splicing factor-mediated regulation patterns reveals biological characteristics and aid in predicting prognosis in acute myeloid leukemia.

    Zhong, Fang-Min / Yao, Fang-Yi / Liu, Jing / Li, Mei-Yong / Jiang, Jun-Yao / Cheng, Ying / Xu, Shuai / Li, Shu-Qi / Zhang, Nan / Huang, Bo / Wang, Xiao-Zhong

    Journal of translational medicine

    2023  Volume 21, Issue 1, Page(s) 6

    Abstract: Background: Alternative splicing (AS) of RNA is a fundamental biological process that shapes protein diversity. Many non-characteristic AS events are involved in the onset and development of acute myeloid leukemia (AML). Abnormal alterations in splicing ...

    Abstract Background: Alternative splicing (AS) of RNA is a fundamental biological process that shapes protein diversity. Many non-characteristic AS events are involved in the onset and development of acute myeloid leukemia (AML). Abnormal alterations in splicing factors (SFs), which regulate the onset of AS events, affect the process of splicing regulation. Hence, it is important to explore the relationship between SFs and the clinical features and biological processes of patients with AML.
    Methods: This study focused on SFs of the classical heterogeneous nuclear ribonucleoprotein (hnRNP) family and arginine and serine/arginine-rich (SR) splicing factor family. We explored the relationship between the regulation patterns associated with the expression of SFs and clinicopathological factors and biological behaviors of AML based on a multi-omics approach. The biological functions of SRSF10 in AML were further analyzed using clinical samples and in vitro experiments.
    Results: Most SFs were upregulated in AML samples and were associated with poor prognosis. The four splicing regulation patterns were characterized by differences in immune function, tumor mutation, signaling pathway activity, prognosis, and predicted response to chemotherapy and immunotherapy. A risk score model was constructed and validated as an independent prognostic factor for AML. Overall survival was significantly shorter in the high-risk score group. In addition, we confirmed that SRSF10 expression was significantly up-regulated in clinical samples of AML, and knockdown of SRSF10 inhibited the proliferation of AML cells and promoted apoptosis and G1 phase arrest during the cell cycle.
    Conclusion: The analysis of splicing regulation patterns can help us better understand the differences in the tumor microenvironment of patients with AML and guide clinical decision-making and prognosis prediction. SRSF10 can be a potential therapeutic target and biomarker for AML.
    MeSH term(s) Humans ; RNA Splicing Factors ; RNA Splicing ; Alternative Splicing/genetics ; Prognosis ; Leukemia, Myeloid, Acute/diagnosis ; Leukemia, Myeloid, Acute/genetics ; Leukemia, Myeloid, Acute/pathology ; Arginine/genetics ; Arginine/metabolism ; Tumor Microenvironment ; Serine-Arginine Splicing Factors/genetics ; Serine-Arginine Splicing Factors/metabolism ; Repressor Proteins/genetics ; Cell Cycle Proteins/genetics
    Chemical Substances RNA Splicing Factors ; Arginine (94ZLA3W45F) ; SRSF10 protein, human ; Serine-Arginine Splicing Factors (170974-22-8) ; Repressor Proteins ; Cell Cycle Proteins
    Language English
    Publishing date 2023-01-07
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2118570-0
    ISSN 1479-5876 ; 1479-5876
    ISSN (online) 1479-5876
    ISSN 1479-5876
    DOI 10.1186/s12967-022-03868-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia.

    Zhong, Fang-Min / Yao, Fang-Yi / Yang, Yu-Lin / Liu, Jing / Li, Mei-Yong / Jiang, Jun-Yao / Zhang, Nan / Xu, Yan-Mei / Li, Shu-Qi / Cheng, Ying / Xu, Shuai / Huang, Bo / Wang, Xiao-Zhong

    Cancer cell international

    2023  Volume 23, Issue 1, Page(s) 61

    Abstract: Chronic myeloid leukemia (CML) is a hematological tumor derived from hematopoietic stem cells. The aim of this study is to analyze the biological characteristics and identify the diagnostic markers of CML. We obtained the expression profiles from the ... ...

    Abstract Chronic myeloid leukemia (CML) is a hematological tumor derived from hematopoietic stem cells. The aim of this study is to analyze the biological characteristics and identify the diagnostic markers of CML. We obtained the expression profiles from the Gene Expression Omnibus (GEO) database and identified 210 differentially expressed genes (DEGs) between CML and normal samples. These DEGs are mainly enriched in immune-related pathways such as Th1 and Th2 cell differentiation, primary immunodeficiency, T cell receptor signaling pathway, antigen processing and presentation pathways. Based on these DEGs, we identified two molecular subtypes using a consensus clustering algorithm. Cluster A was an immunosuppressive phenotype with reduced immune cell infiltration and significant activation of metabolism-related pathways such as reactive oxygen species, glycolysis and mTORC1; Cluster B was an immune activating phenotype with increased infiltration of CD4 + and CD8 + T cells and NK cells, and increased activation of signaling pathways such as interferon gamma (IFN-γ) response, IL6-JAK-STAT3 and inflammatory response. Drug prediction results showed that patients in Cluster B had a higher therapeutic response to anti-PD-1 and anti-CTLA4 and were more sensitive to imatinib, nilotinib and dasatinib. Support Vector Machine Recursive Feature Elimination (SVM-RFE), Least Absolute Shrinkage Selection Operator (LASSO) and Random Forest (RF) algorithms identified 4 CML diagnostic genes (HDC, SMPDL3A, IRF4 and AQP3), and the risk score model constructed by these genes improved the diagnostic accuracy. We further validated the diagnostic value of the 4 genes and the risk score model in a clinical cohort, and the risk score can be used in the differential diagnosis of CML and other hematological malignancies. The risk score can also be used to identify molecular subtypes and predict response to imatinib treatment. These results reveal the characteristics of immunosuppression and metabolic reprogramming in CML patients, and the identification of molecular subtypes and biomarkers provides new ideas and insights for the clinical diagnosis and treatment.
    Language English
    Publishing date 2023-04-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 2091573-1
    ISSN 1475-2867
    ISSN 1475-2867
    DOI 10.1186/s12935-023-02905-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Method and Applications of Ion Collision Cross Section Measurement Based on Fourier Transform-Ion Cyclotron Resonance

    ZHANG Kai-lin1 / XU Shi-yin2 / JIAO Lu-yang2 / DU Meng-ying2 / YAN Hao1 / MAO Gang-gang1 / LI Shu-qi2 / KONG Xiang-lei2, 3

    Zhipu Xuebao, Vol 43, Iss 5, Pp 623-

    2022  Volume 634

    Abstract: The measurement of gas phase collision cross section (CCS) of ions can provide complementary structure information to those typically obtained from mass spectrometry or tandem mass spectrometry. Thus, the ion mobility spectrometry is typically coupled ... ...

    Abstract The measurement of gas phase collision cross section (CCS) of ions can provide complementary structure information to those typically obtained from mass spectrometry or tandem mass spectrometry. Thus, the ion mobility spectrometry is typically coupled with a mass spectrometer to achieve the advantage after the combination. Fourier transform-ion cyclotron resonance mass spectrometry (FT-ICR MS) is characterized by its ultra high resolution and tandem mass spectrometry capabilities. Due to the collisions with neutral molecules, the image current caused by the cyclotron motion of ions in the analysis cell gradually decays under high vacuum condition. Based on this feature, the CCS of ions can be calculated by selecting an appropriate theoretical model and combining with the corresponding algorithm. This method can be directly applied to obtain the value of CCS of the selected ion through the analysis of high-resolution mass spectrometry data without increasing the cost of instrument hardware. With the development and promotion of FT-ICR MS instruments in recent years, such methods have developed rapidly in the past decade and have attracted extensive attention. There are three different ion-neutral collision models (Langevin collision model, hard-sphere collision model and energetic hard-sphere model) which have been applied to connect ion CCS and image current of FT-ICR MS instruments. Time-domain analysis, frequency-domain analysis and time-frequency analysis are three types of data analysis method used to measure ion CCS based on FT-ICR MS. Although the reliability and accuracy of the CCS data provided by such methods need to be further improved, it has been demonstrated its unique advantages in the dynamic CCS measurement and potentials in isomerization study. Such methods can be further combined with ion mobility technology to provide multi-dimensional ion structure information with the help of FT-ICR′s superior mass resolution and superior ion manipulation capabilities.
    Keywords fourier transform-ion cyclotron resonance mass spectrometry (ft-icr ms) ; ion collision cross section (ccs) ; ion-neutral collisions ; time-domain ; frequency-domain ; Chemistry ; QD1-999
    Subject code 540
    Language English
    Publishing date 2022-09-01T00:00:00Z
    Publisher Editorial Board of Journal of Chinese Mass Spectrometry Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Effect of Substitution Sites of the Nitro Group on UV Photodissociation of Protonated Nitrobenzimidazole Isomers

    ZHANG Kai-lin1, 2 / DU Meng-ying2 / XU Yi-cheng2 / LI Shu-qi2 / CUI Yong-liang2 / ZHANG Sen2 / MA Li-fu1 / WANG Yan1 / KONG Xiang-lei2, 3

    Zhipu Xuebao, Vol 43, Iss 1, Pp 15-

    2022  Volume 24

    Abstract: To investigate the effect of substitution sites of the nitro group on the UV photodissociation (UVPD) of nitrobenzimidazole isomers, UVPD mass spectra and spectra of protonated ions of 2-nitrobenzimidazole (2-NBI), 5-nitrobenzimidazole (5-NBI) and 7- ... ...

    Abstract To investigate the effect of substitution sites of the nitro group on the UV photodissociation (UVPD) of nitrobenzimidazole isomers, UVPD mass spectra and spectra of protonated ions of 2-nitrobenzimidazole (2-NBI), 5-nitrobenzimidazole (5-NBI) and 7-nitrobenzimidazole (7-NBI) were studied by a Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer combined with a tunable UV laser. Experimental results showed that the method of UVPD can distinguish the three isomers effectively. Although the UVPD spectrum of 2-NBI extended to about 360 nm, the UVPD spectra of 5-NBI and 7-NBI ended at 290 and 300 nm, respectively. As to UVPD mass spectra, the dissociation products were more diverse than the ones observed in CID experiments. And the yields of some ions significantly depended on the wavelength applied. Combined with theoretical calculations, the most important dissociation channels for the three ions were investigated in detail. For 2-NBI, two fragment ions of m/z 147 and 146 were observed, which were formed by the loss of OH• and H2O resulting from one and two H atom transfers on the N atom of imidazole ring, respectively. For 5-NBI, the process of H transfer couldn’t happen due to the long distance between the nitro group and the imidazole ring. Therefore, only fragment ions of m/z 148 by the loss of O atom were observed. For 7-NBI, its nitro group located between the benzene ring and the imidazole ring, thus only one H atom could be transferred. Therefore, only the m/z 147 (OH• loss) fragment ions could be formed in the process. The channels for the generation of fragment ions of m/z 134 and 106 were also analyzed and discussed in this paper.
    Keywords nitrobenzimidazole ; ft-icr mass spectrometer ; ultraviolet photodissociation mass spectrometry ; Chemistry ; QD1-999
    Subject code 540
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Editorial Board of Journal of Chinese Mass Spectrometry Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Ferroptosis-related molecular patterns reveal immune escape, inflammatory development and lipid metabolism characteristics of the tumor microenvironment in acute myeloid leukemia.

    Zhong, Fang-Min / Yao, Fang-Yi / Liu, Jing / Zhang, Hai-Bin / Zhang, Jing / Zhang, Nan / Lin, Jin / Li, Shu-Qi / Li, Mei-Yong / Jiang, Jun-Yao / Cheng, Ying / Xu, Shuai / Wen, Wen / Yang, Yu-Lin / Zhang, Xue-Ru / Cheng, Xue-Xin / Huang, Bo / Wang, Xiao-Zhong

    Frontiers in oncology

    2022  Volume 12, Page(s) 888570

    Abstract: Background: An increasing number of studies have revealed the influencing factors of ferroptosis. The influence of immune cell infiltration, inflammation development and lipid metabolism in the tumor microenvironment (TME) on the ferroptosis of tumor ... ...

    Abstract Background: An increasing number of studies have revealed the influencing factors of ferroptosis. The influence of immune cell infiltration, inflammation development and lipid metabolism in the tumor microenvironment (TME) on the ferroptosis of tumor cells requires further research and discussion.
    Methods: We explored the relationship between ferroptosis-related genes and acute myeloid leukemia (AML) from the perspective of large sample analysis and multiomics, used multiple groups to identify and verify ferroptosis-related molecular patterns, and analyzed the sensitivity to ferroptosis and the state of immune escape between different molecular pattern groups. The single-sample gene set enrichment analysis (ssGSEA) algorithm was used to quantify the phenotypes of ferroptosis-related molecular patterns in individual patients. HL-60 and THP-1 cells were treated with ferroptosis inducer RSL3 to verify the therapeutic value of targeted inhibition of
    Results: Three ferroptosis-related molecular patterns and progressively worsening phenotypes including immune activation, immune exclusion and immunosuppression were found with the two different sequencing approaches. The FSscore we constructed can quantify the development of ferroptosis-related phenotypes in individual patients. The higher the FSscore is, the worse the patient's prognosis. The FSscore is also highly positively correlated with pathological conditions such as inflammation development, immune escape, lipid metabolism, immunotherapy resistance, and chemotherapy resistance and is negatively correlated with tumor mutation burden. Moreover, RSL3 can induce ferroptosis of AML cells by reducing the protein level of
    Conclusions: This study revealed the characteristics of immunity, inflammation, and lipid metabolism in the TME of different AML patients and differences in the sensitivity of tumor cells to ferroptosis. The FSscore can be used as a biomarker to provide a reference for the clinical evaluation of the pathological characteristics of AML patients and the design of personalized treatment plans. And
    Language English
    Publishing date 2022-11-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.888570
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Inflammatory response mediates cross-talk with immune function and reveals clinical features in acute myeloid leukemia.

    Zhong, Fang-Min / Yao, Fang-Yi / Liu, Jing / Zhang, Hai-Bin / Li, Mei-Yong / Jiang, Jun-Yao / Xu, Yan-Mei / Yang, Wei-Ming / Li, Shu-Qi / Zhang, Jing / Cheng, Ying / Xu, Shuai / Huang, Bo / Wang, Xiao-Zhong

    Bioscience reports

    2022  Volume 42, Issue 5

    Abstract: Accumulated genetic mutations are an important cause for the development of acute myeloid leukemia (AML), but abnormal changes in the inflammatory microenvironment also have regulatory effects on AML. Exploring the relationship between inflammatory ... ...

    Abstract Accumulated genetic mutations are an important cause for the development of acute myeloid leukemia (AML), but abnormal changes in the inflammatory microenvironment also have regulatory effects on AML. Exploring the relationship between inflammatory response and pathological features of AML has implications for clinical diagnosis, treatment and prognosis evaluation. We analyzed the expression variation landscape of inflammatory response-related genes (IRRGs) and calculated an inflammatory response score for each sample using the gene set variation analysis (GSVA) algorithm. The differences in clinical- and immune-related characteristics between high- and low-inflammatory response groups were further analyzed. We found that most IRRGs were highly expressed in AML samples, and patients with high inflammatory response had poor prognosis and were accompanied with highly activated chemokine-, cytokine- and adhesion molecule-related signaling pathways, higher infiltration ratios of monocytes, neutrophils and M2 macrophages, high activity of type I/II interferon (IFN) response, and higher expression of immune checkpoints. We also used the Genomics of Drug Sensitivity in Cancer (GDSC) database to predict the sensitivity of AML samples with different inflammatory responses to common drugs, and found that AML samples with low inflammatory response were more sensitive to cytarabine, doxorubicin and midostaurin. SubMap algorithm also demonstrated that high-inflammatory response patients are more suitable for anti-PD-1 immunotherapy. Finally, we constructed a prognostic risk score model to predict the overall survival (OS) of AML patients. Patients with higher risk score had significantly shorter OS, which was confirmed in two validation cohorts. The analysis of inflammatory response patterns can help us better understand the differences in tumor microenvironment (TME) of AML patients, and guide clinical medication and prognosis prediction.
    MeSH term(s) Humans ; Immunity ; Immunotherapy ; Leukemia, Myeloid, Acute/diagnosis ; Leukemia, Myeloid, Acute/drug therapy ; Leukemia, Myeloid, Acute/genetics ; Mutation ; Tumor Microenvironment/genetics
    Language English
    Publishing date 2022-04-20
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 764946-0
    ISSN 1573-4935 ; 0144-8463
    ISSN (online) 1573-4935
    ISSN 0144-8463
    DOI 10.1042/BSR20220647
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A novel fatty acid metabolism-related signature identifies features of the tumor microenvironment and predicts clinical outcome in acute myeloid leukemia.

    Zhang, Hai-Bin / Sun, Zhuo-Kai / Zhong, Fang-Min / Yao, Fang-Yi / Liu, Jing / Zhang, Jing / Zhang, Nan / Lin, Jin / Li, Shu-Qi / Li, Mei-Yong / Jiang, Jun-Yao / Cheng, Ying / Xu, Shuai / Cheng, Xue-Xin / Huang, Bo / Wang, Xiao-Zhong

    Lipids in health and disease

    2022  Volume 21, Issue 1, Page(s) 79

    Abstract: Background: Acute myeloid leukemia (AML) is the most common malignancy of the hematological system, and there are currently a number of studies regarding abnormal alterations in energy metabolism, but fewer reports related to fatty acid metabolism (FAM) ...

    Abstract Background: Acute myeloid leukemia (AML) is the most common malignancy of the hematological system, and there are currently a number of studies regarding abnormal alterations in energy metabolism, but fewer reports related to fatty acid metabolism (FAM) in AML. We therefore analyze the association of FAM and AML tumor development to explore targets for clinical prognosis prediction and identify those with potential therapeutic value.
    Methods: The identification of AML patients with different fatty acid metabolism characteristics was based on a consensus clustering algorithm. The CIBERSORT algorithm was used to calculate the proportion of infiltrating immune cells. We used Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis to construct a signature for predicting the prognosis of AML patients. The Genomics of Drug Sensitivity in Cancer database was used to predict the sensitivity of patient samples in high- and low-risk score groups to different chemotherapy drugs.
    Results: The consensus clustering approach identified three molecular subtypes of FAM that exhibited significant differences in genomic features such as immunity, metabolism, and inflammation, as well as patient prognosis. The risk-score model we constructed accurately predicted patient outcomes, with area under the receiver operating characteristic curve values of 0.870, 0.878, and 0.950 at 1, 3, and 5 years, respectively. The validation cohort also confirmed the prognostic evaluation performance of the risk score. In addition, higher risk scores were associated with stronger fatty acid metabolisms, significantly higher expression levels of immune checkpoints, and significantly increased infiltration of immunosuppressive cells. Immune functions, such as inflammation promotion, para-inflammation, and type I/II interferon responses, were also significantly activated. These results demonstrated that immunotherapy targeting immune checkpoints and immunosuppressive cells, such as myeloid-derived suppressor cells (MDSCs) and M2 macrophages, are more suitable for patients with high-risk scores. Finally, the prediction results of chemotherapeutic drugs showed that samples in the high-risk score group had greater treatment sensitivity to four chemotherapy drugs in vitro.
    Conclusions: The analysis of the molecular patterns of FAM effectively predicted patient prognosis and revealed various tumor microenvironment (TME) characteristics.
    MeSH term(s) Fatty Acids ; Humans ; Inflammation ; Leukemia, Myeloid, Acute/drug therapy ; Leukemia, Myeloid, Acute/genetics ; Prognosis ; Tumor Microenvironment/genetics
    Chemical Substances Fatty Acids
    Language English
    Publishing date 2022-08-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2091381-3
    ISSN 1476-511X ; 1476-511X
    ISSN (online) 1476-511X
    ISSN 1476-511X
    DOI 10.1186/s12944-022-01687-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Clinical and imaging manifestations of primary cardiac angiosarcoma.

    Yu, Jin-Fen / Cui, Hui / Ji, Guo-Min / Li, Shu-Qi / Huang, Yong / Wang, Ruo-Ning / Xiao, Wen-Feng

    BMC medical imaging

    2019  Volume 19, Issue 1, Page(s) 16

    Abstract: Background: To investigate the CT manifestations of primary cardiac angiosarcoma.: Methods: The clinical and CT data for 9 patients with cardiac angiosarcoma were retrospectively analyzed.: Results: The lesions in all nine cases were located in ... ...

    Abstract Background: To investigate the CT manifestations of primary cardiac angiosarcoma.
    Methods: The clinical and CT data for 9 patients with cardiac angiosarcoma were retrospectively analyzed.
    Results: The lesions in all nine cases were located in the right atrium. In two cases, the involved lesion led downward to the tricuspid valve and right ventricle, and the dynamic cine showed that the lesion affected the opening and closing of the tricuspid valve. In three cases, the lesion involvement led to a thickened pericardium, accompanied by pericardial effusions. On CT plain scans, six patients showed homogeneous density, while three showed inhomogeneous density, two of which were associated with bleeding. On enhanced CT scans, seven patients showed heterogeneous centripetal enhancement, and some angiograms showed lesions with tortuous small blood vessels. The remaining two cases showed early stage rapid inhomogeneous enhancement. Five cases showed multiple metastatic nodules in the lungs at the time of initial diagnosis; four of these showed distinct sharp edges in multiple pulmonary nodules.
    Conclusions: Cardiac angiosarcoma has a predilection site and is prone to invading adjacent structures, manifesting as malignant pericardial and pleural effusions. The CT enhancement manifestations are mostly inhomogeneous and centripetal with ground-glass opacity peripheral to the intrapulmonary metastases.
    MeSH term(s) Adult ; Aged ; Female ; Heart Atria/diagnostic imaging ; Heart Atria/pathology ; Heart Neoplasms/diagnostic imaging ; Heart Neoplasms/pathology ; Hemangiosarcoma/diagnostic imaging ; Hemangiosarcoma/pathology ; Humans ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/secondary ; Male ; Middle Aged ; Radiographic Image Interpretation, Computer-Assisted ; Retrospective Studies ; Tricuspid Valve/diagnostic imaging ; Tricuspid Valve/pathology
    Language English
    Publishing date 2019-02-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2061975-3
    ISSN 1471-2342 ; 1471-2342
    ISSN (online) 1471-2342
    ISSN 1471-2342
    DOI 10.1186/s12880-019-0318-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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