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| 1 | Counteracting lineage-specific transcription factor network finely tunes lung adeno-to-squamous transdifferentiation through remodeling tumor immune microenvironment显示文摘Human lung adenosquamous cell carcinoma(LUAS),containing both adenomatous and squamous pathologies,harbors strong plasticity and is significantly associated with poor prognosis.We established an up-to-date comprehensive genomic and transcriptomic landscape of LUAS in 109 Chinese specimens and demonstrated LUAS development via adeno-to-squamous transdifferentiation.Unsupervised transcriptomic clustering and dynamic network biomarker analysis identified an inflammatory subtype as the critical transition stage during LUAS development.Dynamic dysregulation of the counteracting lineage-specific transcription factors(TFs),containing adenomatous TFs NKX2-1 and FOXA2,and squamous TFs TP63 and SOX2,finely tuned the lineage transition via promoting CXCL3/5-mediated neutrophil infiltration.Genomic clustering identified the most malignant subtype featured with STK11-inactivation,and targeting LSD1 through genetic deletion or pharmacological inhibition almost eradicated STK11-deficient lung tumors.These data collectively uncover the comprehensive molecular landscape,oncogenic driver spectrum and therapeutic vulnerability of Chinese LUAS. | Shijie Tang Yun Xue Zhen Qin Zhaoyuan Fang Yihua Sun Chongzhe Yuan Yunjian Pan Yue Zhao Xinyuan Tong Jian Zhang Hsinyi Huang Yuting Chen Liang Hu Dasong Huang Ruiqi Wang Weiguo Zou Yuan Li Roman KThomas Andrea Ventura Kwok-Kin Wong Haiquan Chen Luonan Chen Hongbin Ji | 2023 | National Science Review2023，10，4： | 0 |
| 2 | Identification of TAZ as the essential molecular switch in orchestrating SCLC phenotypic transition and metastasis显示文摘Small-cell lung cancer(SCLC)is a recalcitrant cancer characterized by high metastasis.However,the exact cell type contributing to metastasis remains elusive.Using a Rb1^(L/L)/Trp53^(L/L) mouse model,we identify the NCAM^(hi)CD44^(lo/–) subpopulation as the SCLC metastasizing cell(SMC),which is progressively transitioned from the non-metastasizing NCAM^(lo)CD44^(hi) cell(non-SMC).Integrative chromatin accessibility and gene expression profiling studies reveal the important role of the SWI/SNF complex,and knockout of its central component,Brg1,significantly inhibits such phenotypic transition and metastasis.Mechanistically,TAZ is silenced by the SWI/SNF complex during SCLC malignant progression,and its knockdown promotes SMC transition and metastasis.Importantly,ectopic TAZ expression reversely drives SMC-to-non-SMC transition and alleviates metastasis.Single-cell RNA-sequencing analyses identify SMC as the dominant subpopulation in human SCLC metastasis,and immunostaining data show a positive correlation between TAZ and patient prognosis.These data uncover high SCLC plasticity and identify TAZ as the key molecular switch in orchestrating SCLC phenotypic transition and metastasis. | Yujuan Jin Qiqi Zhao Weikang Zhu Yan Feng Tian Xiao Peng Zhang Liyan Jiang Yingyong Hou Chenchen Guo Hsinyi Huang Yabin Chen Xinyuan Tong Jiayu Cao Fei Li Xueliang Zhu Jun Qin Dong Gao Xin-Yuan Liu Hua Zhang Luonan Chen Roman KThomas Kwok-Kin Wong Lei Zhang Yong Wang Liang Hu Hongbin Ji | 2022 | National Science Review2022，9，7： | 0 |
| 3 | Correction to:Identification of TAZ as the essential molecular switch in orchestrating SCLC phenotypic transition and metastasis显示文摘This is a correction to:Yujuan Jin,Qiqi Zhao,Weikang Zhu,Yan Feng,Tian Xiao,Peng Zhang,Liyan Jiang,Yingyong Hou,Chenchen Guo,Hsinyi Huang,Yabin Chen,Xinyuan Tong,Jiayu Cao,Fei Li,Xueliang Zhu,Jun Qin,Dong Gao,Xin-Yuan Liu,Hua Zhang,Luonan Chen,Roman K Thomas,Kwok-Kin Wong,Lei Zhang,Yong Wang,Liang Hu,Hongbin Ji,Identification of TAZ as the essential molecular switch in orchestrating SCLC phenotypic transition and metastasis,National Science Review,Volume 9,Issue 7,July 2022,nwab232,https://doi.org/10.1093/nsr/nwab232. | Yujuan Jin Qiqi Zhao Weikang Zhu Yan Feng Tian Xiao Peng Zhang Liyan Jiang Yingyong Hou Chenchen Guo Hsinyi Huang Yabin Chen Xinyuan Tong Jiayu Cao Fei Li Xueliang Zhu Jun Qin Dong Gao Xin-Yuan Liu Hua Zhang Luonan Chen Roman KThomas Kwok-Kin Wong Lei Zhang Yong Wang Liang Hu Hongbin Ji | 2023 | National Science Review2023，10，12： | 0 |
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