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Li WT, Huang W, Yang Y, Peng F. [Advances on extracellular vesicles derived from dead cells]. Zhonghua Nei Ke Za Zhi 2024; 63:422-426. [PMID: 38561291 DOI: 10.3760/cma.j.cn112138-20231024-00247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Affiliation(s)
- W T Li
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - W Huang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - Y Yang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - F Peng
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
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Han G, Sinjab A, Rahal Z, Lynch AM, Treekitkarnmongkol W, Liu Y, Serrano AG, Feng J, Liang K, Khan K, Lu W, Hernandez SD, Liu Y, Cao X, Dai E, Pei G, Hu J, Abaya C, Gomez-Bolanos LI, Peng F, Chen M, Parra ER, Cascone T, Sepesi B, Moghaddam SJ, Scheet P, Negrao MV, Heymach JV, Li M, Dubinett SM, Stevenson CS, Spira AE, Fujimoto J, Solis LM, Wistuba II, Chen J, Wang L, Kadara H. Author Correction: An atlas of epithelial cell states and plasticity in lung adenocarcinoma. Nature 2024; 628:E1. [PMID: 38499683 PMCID: PMC10990920 DOI: 10.1038/s41586-024-07277-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Affiliation(s)
- Guangchun Han
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ansam Sinjab
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zahraa Rahal
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anne M Lynch
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate Program in Developmental Biology, Baylor College of Medicine, Houston, TX, USA
| | - Warapen Treekitkarnmongkol
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuejiang Liu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Alejandra G Serrano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiping Feng
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ke Liang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Khaja Khan
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Lu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sharia D Hernandez
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yunhe Liu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xuanye Cao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Enyu Dai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guangsheng Pei
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jian Hu
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Camille Abaya
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lorena I Gomez-Bolanos
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fuduan Peng
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Minyue Chen
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tina Cascone
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boris Sepesi
- Department of Cardiovascular and Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Seyed Javad Moghaddam
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcelo V Negrao
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mingyao Li
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven M Dubinett
- Department of Medicine, The University of California Los Angeles, Los Angeles, CA, USA
| | | | - Avrum E Spira
- Lung Cancer Initiative at Johnson & Johnson, Boston, MA, USA
- Section of Computational Biomedicine, School of Medicine, Boston University, Boston, MA, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa M Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jichao Chen
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
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Li N, Hong M, Chen X, Sun W, Chen Z, Chen L, Li S, Ge H, Peng F. Influence of intracranial hemorrhage on clinical outcome in acute vertebrobasilar artery occlusion undergoing endovascular treatment. Rev Neurol (Paris) 2024:S0035-3787(24)00420-X. [PMID: 38453601 DOI: 10.1016/j.neurol.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 11/10/2023] [Accepted: 01/22/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND AND PURPOSE The effect of intracranial hemorrhage (ICH) on the outcome of patients with large-vessel occlusion undergoing endovascular treatment (EVT) has mainly focused on the anterior circulation. Knowledge of the relationship between ICH and outcomes in patients with acute vertebrobasilar artery occlusion (VBAO) receiving EVT is limited. We aimed to assess whether ICH is a prognostic marker for acute VBAO following EVT. METHODS Patients who underwent EVT for acute VBAO in the acute posterior circulation ischemic stroke (PERSIST) registry were included. All patients were classified as having no or any-ICH. Any-ICH was subdivided into asymptomatic and symptomatic ICH. A multivariate regression analysis was performed to evaluate the association between ICH and functional outcomes in patients with acute VBAO after receiving EVT. RESULTS Five hundred and forty-seven patients, including 107 patients with ICH (19.6%): 38 (7.0%) and 69 (12.6%) with symptomatic and asymptomatic ICH, respectively. After adjustment for potential confounders, any-ICH was independently associated with reduced chance of favorable outcome (OR 0.39, 95% CI 0.21-0.72, P=0.003), functional independence (OR 0.24, 95% CI 0.16-0.52, P<0.001), and excellent outcome (OR 0.34, 95% CI 0.15-0.75, P=0.008), and increased mortality risk (OR 2.14, 95% CI 1.30-3.51, P=0.003). Symptomatic ICH had a similar association. Moreover, asymptomatic ICH was a negative predictor of functional independence (OR 0.39, 95% CI 0.17-0.88, P=0.024). CONCLUSION Any- and symptomatic ICH were strongly associated with worse clinical outcomes and increased mortality in patients with acute VBAO who underwent EVT. Asymptomatic ICH was an inverse predictor of functional independence.
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Affiliation(s)
- N Li
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
| | - M Hong
- Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - X Chen
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China; Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - W Sun
- Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Z Chen
- Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - L Chen
- Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - S Li
- Department of Encephalopathy, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, China
| | - H Ge
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China; Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - F Peng
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China; Department of Neurology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
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Han G, Sinjab A, Rahal Z, Lynch AM, Treekitkarnmongkol W, Liu Y, Serrano AG, Feng J, Liang K, Khan K, Lu W, Hernandez SD, Liu Y, Cao X, Dai E, Pei G, Hu J, Abaya C, Gomez-Bolanos LI, Peng F, Chen M, Parra ER, Cascone T, Sepesi B, Moghaddam SJ, Scheet P, Negrao MV, Heymach JV, Li M, Dubinett SM, Stevenson CS, Spira AE, Fujimoto J, Solis LM, Wistuba II, Chen J, Wang L, Kadara H. An atlas of epithelial cell states and plasticity in lung adenocarcinoma. Nature 2024; 627:656-663. [PMID: 38418883 PMCID: PMC10954546 DOI: 10.1038/s41586-024-07113-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 01/24/2024] [Indexed: 03/02/2024]
Abstract
Understanding the cellular processes that underlie early lung adenocarcinoma (LUAD) development is needed to devise intervention strategies1. Here we studied 246,102 single epithelial cells from 16 early-stage LUADs and 47 matched normal lung samples. Epithelial cells comprised diverse normal and cancer cell states, and diversity among cancer cells was strongly linked to LUAD-specific oncogenic drivers. KRAS mutant cancer cells showed distinct transcriptional features, reduced differentiation and low levels of aneuploidy. Non-malignant areas surrounding human LUAD samples were enriched with alveolar intermediate cells that displayed elevated KRT8 expression (termed KRT8+ alveolar intermediate cells (KACs) here), reduced differentiation, increased plasticity and driver KRAS mutations. Expression profiles of KACs were enriched in lung precancer cells and in LUAD cells and signified poor survival. In mice exposed to tobacco carcinogen, KACs emerged before lung tumours and persisted for months after cessation of carcinogen exposure. Moreover, they acquired Kras mutations and conveyed sensitivity to targeted KRAS inhibition in KAC-enriched organoids derived from alveolar type 2 (AT2) cells. Last, lineage-labelling of AT2 cells or KRT8+ cells following carcinogen exposure showed that KACs are possible intermediates in AT2-to-tumour cell transformation. This study provides new insights into epithelial cell states at the root of LUAD development, and such states could harbour potential targets for prevention or intervention.
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Affiliation(s)
- Guangchun Han
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ansam Sinjab
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zahraa Rahal
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anne M Lynch
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate Program in Developmental Biology, Baylor College of Medicine, Houston, TX, USA
| | - Warapen Treekitkarnmongkol
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuejiang Liu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Alejandra G Serrano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiping Feng
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ke Liang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Khaja Khan
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Lu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sharia D Hernandez
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yunhe Liu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xuanye Cao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Enyu Dai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guangsheng Pei
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jian Hu
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Camille Abaya
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lorena I Gomez-Bolanos
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fuduan Peng
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Minyue Chen
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tina Cascone
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boris Sepesi
- Department of Cardiovascular and Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Seyed Javad Moghaddam
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcelo V Negrao
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mingyao Li
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven M Dubinett
- Department of Medicine, The University of California Los Angeles, Los Angeles, CA, USA
| | | | - Avrum E Spira
- Lung Cancer Initiative at Johnson & Johnson, Boston, MA, USA
- Section of Computational Biomedicine, School of Medicine, Boston University, Boston, MA, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa M Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jichao Chen
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
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5
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Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Zhang X, Yu Y, Zhou L, Na F, Li Y, Xu Y, Liu Y, Zou B, Peng F, Wang J, Zhong R, Gong Y, Huang M, Bai S, Xue J, Yan D, Lu Y. Hybrid Immuno-RT for Bulky Tumors: Standard Fractionation with Partial Tumor SBRT. Int J Radiat Oncol Biol Phys 2023; 117:S166. [PMID: 37784416 DOI: 10.1016/j.ijrobp.2023.06.264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Bulky tumors remain challenging to be treated. Stereotactic body radiation therapy (SBRT) is effective against radioresistant tumor cells and can induce immunogenic cell death (ICD) that leads to T-cell-mediated antitumor effects. Low-dose radiation (LDRT) can inflame the tumor microenvironment (TME) by recruiting T cells. We designed a novel radiotherapy technique (RT, ERT) whose dose distribution map resembles the "eclipse" by concurrently delivering LDRT to the whole tumor, meanwhile SBRT to only a part of the same tumor. This study examined the safety and efficacy of ERT to bulky lesions with PD-1 inhibitors in mice and patients. MATERIALS/METHODS In mice with CT26 colon or LLC1 lung bulky tumors (400 - 500 cm3), the whole tumor was irradiated by LDRT (2 Gy x 3), meanwhile the tumor center was irradiated by SBRT (10 Gy x 3); αPD-1 was given weekly. The dependence of therapeutic effects on CD8+ T cells was determined using depleting antibodies. Frequencies of CD8+ T cells and M1 macrophages (Mφ) were determined by flow cytometry. Multiplex Immunohistochemistry (mIHC) was applied to analyze the number and the location of CD8+ T cells and their subpopulations, as well as the phospho-eIF2α level (the ICD marker) of tumor cells in TME. Patients with advanced lung or liver bulky tumors who failed standard treatment or with oncologic emergencies were treated. Kaplan-Meier method was applied to estimate patients' progression-free survival (PFS) and overall survival (OS). RESULTS ERT/αPD-1 is superior to SBRT/αPD-1 or LDRT/αPD-1 in controlling bulky tumors in both mouse models in a CD8+ T-cell dependent manner. In the CT26 model, ERT/αPD-1 resulted in complete tumor regression in 3/11 mice and induced more CD8+ T cells and M1 Mφ in TME compared to other groups. mIHC analysis showed that ERT/αPD-1 induced higher bulk, stem-like (TCF1+ TIM3- PD-1+), and more differentiated (TCF1- TIM3+ PD-1+) CD8+ T cells infiltration into the tumor center and periphery compared to other groups. Compared to untreated or LDRT-treated tumor centers, tumor centers irradiated with ERT or SBRT showed elevated phospho-eIF2α accompanied by higher dendritic cell infiltration. In total, 39 advanced cancer patients were treated with ERT/αPD-1 or plus chemotherapy. Radiation-induced pneumonitis occurred in 1 of 26 patients receiving thoracic ERT. There were two cases of grade III toxicity associated with PD-1 inhibitors. No toxicity above grade III was observed. The objective response rate was 38.5%. The median PFS was 5.6 months and median OS was not reached at a median follow-up of 11.7 months. CONCLUSION ERT/αPD-1 showed superior efficacy in controlling bulky tumor in two mouse models. The hybrid immuno-RT (ERT) combing PD-1 inhibitors was safe and effective in patients with bulky tumors. Further clinical trials in combination with bioimaging to identify the optimal SBRT target region for the bulky tumor are warranted.
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Affiliation(s)
- R Luo
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Su
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - K Kang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Wu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Yao
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - W Xiu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - L Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Na
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Li
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Xu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Liu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - B Zou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Peng
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Wang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - R Zhong
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Gong
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Huang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - S Bai
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Xue
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - D Yan
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Lu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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6
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Perelli L, Zhang L, Mangiameli S, Russell AJC, Giannese F, Peng F, Carbone F, Le C, Khan H, Citron F, Soeung M, Lam TNA, Lundgren S, Zhu C, Catania D, Feng N, Gurreri E, Sgambato A, Tortora G, Draetta GF, Tonon G, Futreal A, Giuliani V, Carugo A, Viale A, Heffernan TP, Wang L, Cittaro D, Chen F, Genovese G. Evolutionary fingerprints of EMT in pancreatic cancers. bioRxiv 2023:2023.09.18.558231. [PMID: 37786705 PMCID: PMC10541589 DOI: 10.1101/2023.09.18.558231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Mesenchymal plasticity has been extensively described in advanced and metastatic epithelial cancers; however, its functional role in malignant progression, metastatic dissemination and therapy response is controversial. More importantly, the role of epithelial mesenchymal transition (EMT) and cell plasticity in tumor heterogeneity, clonal selection and clonal evolution is poorly understood. Functionally, our work clarifies the contribution of EMT to malignant progression and metastasis in pancreatic cancer. We leveraged ad hoc somatic mosaic genome engineering, lineage tracing and ablation technologies and dynamic genetic reporters to trace and ablate tumor-specific lineages along the phenotypic spectrum of epithelial to mesenchymal plasticity. The experimental evidences clarify the essential contribution of mesenchymal lineages to pancreatic cancer evolution and metastatic dissemination. Spatial genomic analysis combined with single cell transcriptomic and epigenomic profiling of epithelial and mesenchymal lineages reveals that EMT promotes with the emergence of chromosomal instability (CIN). Specifically tumor lineages with mesenchymal features display highly conserved patterns of genomic evolution including complex structural genomic rearrangements and chromotriptic events. Genetic ablation of mesenchymal lineages robustly abolished these mutational processes and evolutionary patterns, as confirmed by cross species analysis of pancreatic and other human epithelial cancers. Mechanistically, we discovered that malignant cells with mesenchymal features display increased chromatin accessibility, particularly in the pericentromeric and centromeric regions, which in turn results in delayed mitosis and catastrophic cell division. Therefore, EMT favors the emergence of high-fitness tumor cells, strongly supporting the concept of a cell-state, lineage-restricted patterns of evolution, where cancer cell sub-clonal speciation is propagated to progenies only through restricted functional compartments. Restraining those evolutionary routes through genetic ablation of clones capable of mesenchymal plasticity and extinction of the derived lineages completely abrogates the malignant potential of one of the most aggressive form of human cancer.
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Wang R, Song S, Qin J, Yoshimura K, Peng F, Chu Y, Li Y, Fan Y, Jin J, Dang M, Dai E, Pei G, Han G, Hao D, Li Y, Chatterjee D, Harada K, Pizzi MP, Scott AW, Tatlonghari G, Yan X, Xu Z, Hu C, Mo S, Shanbhag N, Lu Y, Sewastjanow-Silva M, Fouad Abdelhakeem AA, Peng G, Hanash SM, Calin GA, Yee C, Mazur P, Marsden AN, Futreal A, Wang Z, Cheng X, Ajani JA, Wang L. Evolution of immune and stromal cell states and ecotypes during gastric adenocarcinoma progression. Cancer Cell 2023; 41:1407-1426.e9. [PMID: 37419119 PMCID: PMC10528152 DOI: 10.1016/j.ccell.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 04/10/2023] [Accepted: 06/12/2023] [Indexed: 07/09/2023]
Abstract
Understanding tumor microenvironment (TME) reprogramming in gastric adenocarcinoma (GAC) progression may uncover novel therapeutic targets. Here, we performed single-cell profiling of precancerous lesions, localized and metastatic GACs, identifying alterations in TME cell states and compositions as GAC progresses. Abundant IgA+ plasma cells exist in the premalignant microenvironment, whereas immunosuppressive myeloid and stromal subsets dominate late-stage GACs. We identified six TME ecotypes (EC1-6). EC1 is exclusive to blood, while EC4, EC5, and EC2 are highly enriched in uninvolved tissues, premalignant lesions, and metastases, respectively. EC3 and EC6, two distinct ecotypes in primary GACs, associate with histopathological and genomic characteristics, and survival outcomes. Extensive stromal remodeling occurs in GAC progression. High SDC2 expression in cancer-associated fibroblasts (CAFs) is linked to aggressive phenotypes and poor survival, and SDC2 overexpression in CAFs contributes to tumor growth. Our study provides a high-resolution GAC TME atlas and underscores potential targets for further investigation.
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Affiliation(s)
- Ruiping Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Shumei Song
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jiangjiang Qin
- Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China; Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, Zhejiang 310018, China
| | - Katsuhiro Yoshimura
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Fuduan Peng
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yanshuo Chu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yuan Li
- Department of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang 110001, China
| | - Yibo Fan
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jiankang Jin
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Minghao Dang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Enyu Dai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Guangsheng Pei
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Guangchun Han
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Dapeng Hao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yating Li
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Deyali Chatterjee
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kazuto Harada
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Melissa Pool Pizzi
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ailing W Scott
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ghia Tatlonghari
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xinmiao Yan
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zhiyuan Xu
- Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China
| | - Can Hu
- Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China
| | - Shaowei Mo
- Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China
| | - Namita Shanbhag
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yang Lu
- Department of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Matheus Sewastjanow-Silva
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ahmed Adel Fouad Abdelhakeem
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Guang Peng
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Samir M Hanash
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - George A Calin
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Cassian Yee
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Pawel Mazur
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Autumn N Marsden
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zhenning Wang
- Department of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang 110001, China
| | - Xiangdong Cheng
- Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China; Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, Zhejiang 310018, China
| | - Jaffer A Ajani
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences (GSBS), Houston, TX 77030, USA.
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8
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Peng F, Xiong Z, Zhu G, Hysi PG, Eller RJ, Wu S, Adhikari K, Chen Y, Li Y, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Uitterlinden AG, Ikram MA, Nijsten T, Ruiz-Linares A, Wang S, Walsh S, Spector TD, Martin NG, Kayser M, Liu F. GWAs Identify DNA Variants Influencing Eyebrow Thickness Variation in Europeans and Across Continental Populations. J Invest Dermatol 2023; 143:1317-1322.e11. [PMID: 37085041 DOI: 10.1016/j.jid.2022.11.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 04/23/2023]
Affiliation(s)
- Fuduan Peng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ziyi Xiong
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Pirro G Hysi
- Department of Twin Research & Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, United Kingdom
| | - Ryan J Eller
- Department of Biology, School of Science, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, USA
| | - Sijie Wu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, Division of Biosciences, London, United Kingdom; Genetics Institute, Division of Biosciences, University College London, London, United Kingdom; School of Mathematics & Statistics, Faculty of Science, Technology, Engineering & Mathematics, The Open University, Milton Keynes, United Kingdom
| | - Yan Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; China National Center for Bioinformation, Beijing, China
| | - Yi Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; China National Center for Bioinformation, Beijing, China
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Puerto Madryn, Argentina
| | | | - Maria-Cátira Bortolini
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, Mexico
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM)-Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | | | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, Division of Biosciences, London, United Kingdom; CNRS, EFS, ADES UMR 7268, Faculté de Médecine Timone, Aix-Marseille Université, Marseille, France; Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Human Phenome Institute, Fudan University, Shanghai, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Susan Walsh
- Department of Biology, School of Science, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, USA
| | - Timothy D Spector
- Department of Twin Research & Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, United Kingdom
| | | | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; China National Center for Bioinformation, Beijing, China
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9
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Chu Y, Dai E, Li Y, Han G, Pei G, Ingram DR, Thakkar K, Qin JJ, Dang M, Le X, Hu C, Deng Q, Sinjab A, Gupta P, Wang R, Hao D, Peng F, Yan X, Liu Y, Song S, Zhang S, Heymach JV, Reuben A, Elamin YY, Pizzi MP, Lu Y, Lazcano R, Hu J, Li M, Curran M, Futreal A, Maitra A, Jazaeri AA, Ajani JA, Swanton C, Cheng XD, Abbas HA, Gillison M, Bhat K, Lazar AJ, Green M, Litchfield K, Kadara H, Yee C, Wang L. Pan-cancer T cell atlas links a cellular stress response state to immunotherapy resistance. Nat Med 2023; 29:1550-1562. [PMID: 37248301 DOI: 10.1038/s41591-023-02371-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 04/26/2023] [Indexed: 05/31/2023]
Abstract
Tumor-infiltrating T cells offer a promising avenue for cancer treatment, yet their states remain to be fully characterized. Here we present a single-cell atlas of T cells from 308,048 transcriptomes across 16 cancer types, uncovering previously undescribed T cell states and heterogeneous subpopulations of follicular helper, regulatory and proliferative T cells. We identified a unique stress response state, TSTR, characterized by heat shock gene expression. TSTR cells are detectable in situ in the tumor microenvironment across various cancer types, mostly within lymphocyte aggregates or potential tertiary lymphoid structures in tumor beds or surrounding tumor edges. T cell states/compositions correlated with genomic, pathological and clinical features in 375 patients from 23 cohorts, including 171 patients who received immune checkpoint blockade therapy. We also found significantly upregulated heat shock gene expression in intratumoral CD4/CD8+ cells following immune checkpoint blockade treatment, particularly in nonresponsive tumors, suggesting a potential role of TSTR cells in immunotherapy resistance. Our well-annotated T cell reference maps, web portal and automatic alignment/annotation tool could provide valuable resources for T cell therapy optimization and biomarker discovery.
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Affiliation(s)
- Yanshuo Chu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Enyu Dai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yating Li
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guangchun Han
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guangsheng Pei
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Davis R Ingram
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Krupa Thakkar
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Jiang-Jiang Qin
- Department of Gastric Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
- Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, China
| | - Minghao Dang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiuning Le
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Can Hu
- Department of Gastric Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
- Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, China
| | - Qing Deng
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ansam Sinjab
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pravesh Gupta
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ruiping Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dapeng Hao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fuduan Peng
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xinmiao Yan
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yunhe Liu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shumei Song
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shaojun Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yasir Y Elamin
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Melissa P Pizzi
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yang Lu
- Department of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rossana Lazcano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jian Hu
- Department of Human Genetics, Emory School of Medicine, Atlanta, GA, USA
| | - Mingyao Li
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Curran
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anirban Maitra
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Amir A Jazaeri
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jaffer A Ajani
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Xiang-Dong Cheng
- Department of Gastric Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
- Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, China
| | - Hussein A Abbas
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maura Gillison
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Krishna Bhat
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexander J Lazar
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Michael Green
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kevin Litchfield
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Cassian Yee
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
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10
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Rahal Z, Peng F, Liu Y, Ross MC, Sinjab A, Liang K, Feng J, Chukwuocha CO, Sharma M, Tang E, Abaya C, Petrosino J, Fujimoto J, Moghaddam SJ, Wang L, Hoffman KL, Kadara H. Abstract 2883: Gut microbiome dysbiosis promotes immune suppression and lung cancer development. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-2883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Mounting evidence supports synergistic roles for the gut microbiome in cancer progression. Yet, the interplay between the gut microbiome and immune responses in cancer is still poorly understood. We recently showed that gut microbiome changes are closely associated with development of Kras-mutant lung adenocarcinoma (KM-LUAD) in a human-relevant, tobacco-associated mouse model (Gprc5a-/-; G). Knockout of the antimicrobial protein Lcn2 in these mice (Gprc5a-/-/Lcn2-/-; GL) further reduced microbial diversity while enhancing inflammation and tumor development. We thus hypothesized that microbial dysbiosis in the gut, such as that incurred by loss of Lcn2, may exacerbate LUAD development. Here, we investigated the effects of gut microbiome modulation on LUAD pathogenesis using fecal microbiota transfer (FMT) in both syngeneic and tobacco carcinogenesis models. Syngeneic G mice (transplant of G LUAD cells) that received FMT from GL donors (G < GL) exhibited significantly increased tumor growth relative to littermates with FMT from G mice (G < G). These effects were recapitulated in an independent syngeneic model (KrasG12D LKR13 cells in wild type mice). Tobacco carcinogen-exposed G < GL mice also exhibited increased lung tumor development compared with similarly exposed G < G littermates. 16S rDNA-Seq analysis of fecal pellets revealed significant differences in gut beta diversity between syngeneic G < G and G < GL mice. G < GL mice additionally displayed elevated relative abundance of tumor-promoting Alistipes, while Ruminoccocus and Akkermansia, taxa associated with favorable response to immunotherapy, were reduced. We next performed single-cell RNA-sequencing to comprehensively probe the tumor immune microenvironment (TIME) and the immune milieu near the gut of tumors and mesenteric lymph nodes (MLNs), respectively. The TIME in G < GL mice displayed an overall enhanced immunosuppressive phenotype evidenced by prominently increased fractions of T regulatory and Cd4+ Izumo1r+ exhausted T cells and, conversely, reduced levels of activated Isg15+ Cd8a+ T cells. MLNs from G < GL mice showed markedly increased fractions of memory B cells expressing the immunosuppressor Bank1 and reduced levels of follicular B cells and Cd8a+ Clec9a+ class 1 dendritic cells (cDC1). Flow cytometry further showed enhanced immunosuppression in G < GL relative to G < G mice, including increased fractions of myeloid-derived suppressor cells in the TIME of the former group. Our findings show that gut microbiome dysbiosis fosters lung cancer development by promoting immunosuppression, perhaps via a local and systemic gut microbiota-immune system crosstalk. Modulating the gut microbiome may be a promising strategy for interception or early treatment of lung cancer.
Citation Format: Zahraa Rahal, Fuduan Peng, Yuejiang Liu, Matthew C. Ross, Ansam Sinjab, Ke Liang, Jiping Feng, Chidera O. Chukwuocha, Manvi Sharma, Elizabeth Tang, Camille Abaya, Joseph Petrosino, Junya Fujimoto, Seyed Javad Moghaddam, Linghua Wang, Kristi L. Hoffman, Humam Kadara. Gut microbiome dysbiosis promotes immune suppression and lung cancer development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2883.
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Affiliation(s)
| | | | | | | | | | - Ke Liang
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Elizabeth Tang
- 3University of Illinois at Urbana-Champaign, Chicago, IL
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Wang R, Song S, Qin J, Yoshimura K, Peng F, Chu Y, Li Y, Fan Y, Jin J, Dang M, Dai E, Pei G, Han G, Li Y, Chatterjee D, Pizzi MP, Scott AW, Tatlonghari G, Yan X, Sewastjanow MDS, Abdelhakeem AAF, Mazur PK, Cheng X, Ajani JA, Wang L. Abstract 1194: Evolution of immune and stromal cell states during the gastric cancer continuum. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-1194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Introduction: Gastric adenocarcinoma (GAC), a global health burden, lacks detail understanding of the evolution-driven cellular/molecular programs that lead to GAC tumorigenesis followed by progression/metastases. How the TME is orchestrated by precancerous lesions, primary GAC, and in metastatic niches, when well understood, may propel us into an entirely new dimension with the hopes of novel therapeutics. However, only a few studies have investigated the immune/stromal subtypes of GAC with the limitation of scope, cohort size, and/or depth or mainly focused on the primary GACs. Here, we present an atlas of transcriptionally diverse TME across the full continuum of GAC by including peripheral blood, normal gastric tissues, premalignant lesions, localized, and metastatic GACs.
Methods: We performed a comprehensive single-cell profiling of 68 specimens collected from 43 subjects including a total of 77,392 high-quality cells which revealed 62 unique cell states uncovering varying profiles. We defined alterations in TMEs that underscore initiation of tumorigenesis to eventual progression.
Results: We found a striking preponderance of B lineage cells, primarily the IgA+ plasma cells, in TMEs of the precancerous lesions, whereas 3 immunosuppressive myeloid subsets dominated in advanced GACs. Fractions of GZMK+ effector CD8 T cells and progenitor exhausted CD8 T cells gradually increased as GACs progressed to advanced stages. In addition, our analysis revealed extensive stromal remodeling along the GAC continuum, which may have contributed to enhanced angiogenesis and immune suppressive signaling. The observations in the primary tumors could be validated in an independent scRNA-seq dataset. Notably, we uncovered 3 unique TME interactomes and defined 6 cellular environtypes inhabited by 62 TME cell subsets giving GAC to a novel landscape not yet defined. The two distinct environtypes in GAC primaries are validated in three independent large-scale GAC cohorts, giving credence and definition to previously established histopathological variables, genomic/molecular subtypes and clinical outcomes. The analysis of tumor associated stromal cells discovered SDC2 as an
exploitable target to pursue. SDC2 was abundant in cancer associated fibroblasts (CAFs), and the abundance is validated in 3 independent single-cell GAC cohorts as well as at the protein level. SDC2 expression was significantly higher in advanced (vs. early) stages and diffuse (vs. intestinal) type of GAC, and SDC2 overexpression was associated with shorter survival in all 5 large-scale GAC cohorts. Lastly, we assessed the functional effects of SDC2 expression in CAFs on tumor growth in vivo in xenograft models and found SDC2 overexpression in CAFs contributes to tumor growth.
Conclusion: This study provides an atlas of GAC TMEs from tumorigenesis to advanced GAC that could be further developed for novel therapeutics but also serves as a community resource.
Citation Format: Ruiping Wang, Shumei Song, Jiangjiang Qin, Katsuhiro Yoshimura, Fuduan Peng, Yanshuo Chu, Yuan Li, Yibo Fan, Jiankang Jin, Minghao Dang, Enyu Dai, Guangsheng Pei, Guangchun Han, Yating Li, Deyali Chatterjee, Melissa P. Pizzi, Ailing W. Scott, Ghia Tatlonghari, Xinmiao Yan, Matheus Da Silva Sewastjanow, Ahmed Adel Fouad Abdelhakeem, Pawel K. Mazur, Xiangdong Cheng, Jaffer A. Ajani, Linghua Wang. Evolution of immune and stromal cell states during the gastric cancer continuum [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1194.
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Affiliation(s)
| | | | - Jiangjiang Qin
- 2Cancer Hospital of The University of Chinese Academy of Sciences, Hangzhou, China
| | | | | | | | - Yuan Li
- 3First Hospital of China Medical University, Shenyang, China
| | - Yibo Fan
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | - Enyu Dai
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | - Yating Li
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | | | | | - Xiangdong Cheng
- 2Cancer Hospital of The University of Chinese Academy of Sciences, Hangzhou, China
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Zhang Y, Peng F, Pei G, Liu Y, Han G, Wang L. Abstract 4653: Spatial architecture of tumor-infiltrating macrophagesorchestrates tumor immunity and therapeutic response. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-4653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Tumor-infiltrating macrophages, a major cellular component in the tumor microenvironment (TME), have been proven to be linked with tumor progression and immunotherapy resistance. Tremendous heterogeneity has been revealed for tumor-associated macrophages (TAMs) in different cancer types, however, how these TAM subtypes are localized and interact with tissue ecosystems remains poorly understood. Here, we perform an integrative analysis of TAMs, malignant and non-malignant cells from 10 cancer types, based on single-cell RNA-seq and spatial transcriptomic data. By interrogating the spatial distributions of different TAM subtypes in situ, we reveal spatially restricted developmental, regulation, and functional heterogeneity of TAMs in TME. Different cancer types show distinct TAM subtype enrichments with specific interface architectures, which is potentially shaped by the cellular compositions and spatial niches of tumor cells. Furthermore, the compartmentalized TAM subpopulations can reflect the spatial architecture of surrounding stromal and immune cells, and thus orchestrate tumor immunity and therapeutic response. Our study demonstrates the cellular and molecular underpinnings of TAM heterogeneity and stochastic regulations of TAMs for TME architecture, tumor progression and immunotherapy responses, which will assist in the identification of possible therapeutic targets.
Citation Format: Yuanyuan Zhang, Fuduan Peng, Guangsheng Pei, Yunhe Liu, Guangchun Han, Linghua Wang. Spatial architecture of tumor-infiltrating macrophagesorchestrates tumor immunity and therapeutic response. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4653.
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Affiliation(s)
| | | | | | - Yunhe Liu
- 1UT MD Anderson Cancer Center, Houston, TX
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Stur E, Peng F, Teng PN, Bayraktar E, Hu M, Corvigno S, Brown DJ, Lee S, Moore KN, Bateman NW, Darcy KM, Maxwell GL, Conrads T, Fleming N, Navin N, Wang L, Sood AK. Abstract 5782: The dynamic immune behavior of primary and metastatic tumors of ovarian cancer. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-5782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Background: Despite advances in cancer diagnosis and therapy, high-grade serous ovarian cancer (HGSC) is often diagnosed when spread to multiple intraperitoneal areas; it is prone to metastasize to adipose-rich tissues such as the omentum. To gain a deeper understanding of the molecular determinants of the HGSC milieu, we carried out a single-cell analysis of primary and metastatic tumors of HGSC. Thus, our aim is to identify molecular mechanisms that lead to immunosuppressive mechanisms of HGSC in primary and metastatic tumors of HGSC.
Methods: Fresh HGSC surgical samples from 19 patients were collected right after surgery, dissociated, and then frozen. For single-cells analysis, cells were sorted by a viability dye and CD45+/- populations followed by Single cell 10 × 3’v3 protocol (10X Genomics) and sequenced using the NovaSeq6000 S2 sequencer. Cell Ranger toolkit v3.1.0 (10x Genomics) was applied for data processing, followed by further downstream analysis using multiple packages from R Package Seurat.
Results: To elucidate the cellular heterogeneity of HGSC, we analyzed 100,480 cells, including epithelial, lymphoid, and myeloid populations; these were identified and represented across all patients. We explored the epithelial compartment further, including a total of 21,144 cells. Given the importance of metastatic lesions for the treatment and outcome of patients with HGSC, we examined expression programs among primary and omentum tumors as well treated and untreated tumors. The major differences between primary and omental metastatic tumors included enrichment of EMT pathways and angiogenesis, as well as a decrease in the IFNα and IFNγ response in the omentum. IFNα and IFNγ response pathways were also upregulated in primary treated (P-NACT) tumors, when compared with primary untreated (P-UT) tumors. To explore the immune compartment, we clustered the immune cells across patients in 28 sub-clusters, including 19 sub-clusters of T-cells and Natural Killer cells. Altogether, the immune infiltration on P-UT indicated an immune infiltrate environment and the composition of P-UT was highly enriched in lymphoid cells with a late stage of differentiation. This finding was also demonstrated by the analysis of T cell trajectories, with a clear definition that CD8 and CD4 cells from P-UT tumors are in a late/final and exhausted stage of differentiation, while post-NACT tumors (independent of tissue type) are in early stages (naïve/central memory). The measurement of a dysfunctional score showed that P-UT tumors have the highest scores, indicating a potential increase in tumor reactivity in P-UT tumors.
Conclusions: Collectively, these data indicate that HGSC primary and omentum tumors are very distinct niches for immune cells, with primary being much more dysfunctional than omentum tissue, which could indicate that the application of immunotherapies would have different impacts in variable niches of HGSC.
Citation Format: Elaine Stur, Fuduan Peng, Pang-ning Teng, Emine Bayraktar, Min Hu, Sara Corvigno, David J. Brown, Sanghoon Lee, Kathleen N. Moore, Nicholas W. Bateman, Kathleen M. Darcy, George L. Maxwell, Thomas Conrads, Nicole Fleming, Nicholas Navin, Linghua Wang, Anil K. Sood. The dynamic immune behavior of primary and metastatic tumors of ovarian cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5782.
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Affiliation(s)
- Elaine Stur
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Fuduan Peng
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Pang-ning Teng
- 2Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Emine Bayraktar
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Min Hu
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Sara Corvigno
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - David J. Brown
- 3Stephenson Cancer Center at the University of Oklahoma Health Sciences Center/Sarah Cannon Research Institute, Oklahoma City, OK
| | - Sanghoon Lee
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Kathleen N. Moore
- 3Stephenson Cancer Center at the University of Oklahoma Health Sciences Center/Sarah Cannon Research Institute, Oklahoma City, OK
| | | | | | | | - Thomas Conrads
- 2Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Nicole Fleming
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Nicholas Navin
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Linghua Wang
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Anil K. Sood
- 1The University of Texas, MD Anderson Cancer Center, Houston, TX
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Zhao Y, Peng F, Wang C, Murano T, Baba H, Ikematsu H, Li W, Goel A. A DNA Methylation-based Epigenetic Signature for the Identification of Lymph Node Metastasis in T1 Colorectal Cancer. Ann Surg 2023; 277:655-663. [PMID: 35837968 PMCID: PMC9840712 DOI: 10.1097/sla.0000000000005564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVE This study aimed to unravel the lymph node metastasis (LNM)-related methylated DNA (mDNA) landscape and develop a mDNA signature to identify LNM in patients with T1 colorectal cancers (T1 CRC). BACKGROUND Considering the invasiveness of T1 CRC, current guidelines recommend endoscopic resection in patients with LNM-negative, and radical surgical resection only for high-risk LNM-positive patients. Unfortunately, the clinicopathological criteria for LNM risk stratification are imperfect, resulting in frequent misdiagnosis leading to unnecessary radical surgeries and postsurgical complications. METHODS We conducted genome-wide methylation profiling of 39 T1 CRC specimens to identify differentially methylated CpGs between LNM-positive and LNM-negative, and performed quantitative pyrosequencing analysis in 235 specimens from 3 independent patient cohorts, including 195 resected tissues (training cohort: n=128, validation cohort: n=67) and 40 pretreatment biopsies. RESULTS Using logistic regression analysis, we developed a 9-CpG signature to distinguish LNM-positive versus LNM-negative surgical specimens in the training cohort [area under the curve (AUC)=0.831, 95% confidence interval (CI)=0.755-0.892; P <0.0001], which was subsequently validated in additional surgical specimens (AUC=0.825; 95% CI=0.696-0.955; P =0.003) and pretreatment biopsies (AUC=0.836; 95% CI=0.640-1.000, P =0.0036). This diagnostic power was further improved by combining the signature with conventional clinicopathological features. CONCLUSIONS We established a novel epigenetic signature that can robustly identify LNM in surgical specimens and even pretreatment biopsies from patients with T1 CRC. Our signature has strong translational potential to improve the selection of high-risk patients who require radical surgery while sparing others from its complications and expense.
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Affiliation(s)
- Yinghui Zhao
- Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA, USA
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Fuduan Peng
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, USA
| | - Chuanxin Wang
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, China
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Tatsuro Murano
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Hideo Baba
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Hiroaki Ikematsu
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan
| | - Wei Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, USA
| | - Ajay Goel
- Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
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Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Yu Y, Zhou L, Na F, Li Y, Zhang X, Zou B, Peng F, Wang J, Xue J, Gong Y, Lu Y. 197P Combining stereotactic body radiation and low-dose radiation (EclipseRT) with PD-1 inhibitor in mice models and patients with bulky tumor. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00450-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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CHEN X, Xiao J, Tao D, Liang Y, Chen S, Shen L, Li S, Zheng Z, Zeng Y, Luo C, Peng F, Long H. WCN23-0693 METADHERIN PROMOTES PODOCYTE INJURY AND PROTEINURIA THROUGH ACTIVATING cAMP/PKA/β-CATENIN SIGNALING. Kidney Int Rep 2023. [DOI: 10.1016/j.ekir.2023.02.491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023] Open
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Okada Y, Peng F, Perea J, Corchete L, Bujanda L, Li W, Goel A. Genome-wide methylation profiling identifies a novel gene signature for patients with synchronous colorectal cancer. Br J Cancer 2023; 128:112-120. [PMID: 36319845 PMCID: PMC9814149 DOI: 10.1038/s41416-022-02033-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 10/13/2022] [Accepted: 10/17/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND There are no robust tools for the diagnosis of synchronous colorectal cancer (SyCRC). Herein, we developed the first methylation signature to identify and characterise patients with SyCRC. METHODS For biomarker discovery, we analysed the genome-wide methylation profiles of 16 SyCRC and 18 solitary colorectal cancer (SoCRC) specimens. We thereafter established a methylation signature risk-scoring model to identify SyCRC in an independent cohort of 38 SyCRC and 42 SoCRC patients. In addition, we evaluated the prognostic value of the identified methylation profile. RESULTS We identified six differentially methylated CpG probes/sites that distinguished SyCRC from SoCRC. In the validation cohort, we developed a methylation panel that identified patients with SyCRC from not only larger tumour (AUC = 0.91) but also the paired remaining tumour (AUC = 0.93). Moreover, high risk scores of our panel were associated with the development of metachronous CRC among patients with SyCRC (AUC = 0.87) and emerged as an independent predictor for relapse-free survival (hazard ratio = 2.72; 95% CI = 1.12-6.61). Furthermore, the risk stratification model which combined with clinical risk factors was a diagnostic predictor of recurrence (AUC = 0.90). CONCLUSIONS Our novel six-gene methylation panel robustly identifies patients with SyCRC, which has the clinical potential to improve the diagnosis and management of patients with CRC.
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Affiliation(s)
- Yasuyuki Okada
- Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA, USA
- Department of Gastroenterology and Oncology, Tokushima University Graduate School, Tokushima, Japan
| | - Fuduan Peng
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - José Perea
- Molecular Medicine Unit. Department of Medicine, Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- Surgery Department, Vithas Arturo Soria University Hospital and School of Medicine, European University of Madrid, Madrid, Spain
| | - Luis Corchete
- Hematology Department, University Hospital of Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Cancer Research Center (CiC-IBMCC, CSIC/USAL), Center for Biomedical Research in Network of Cancer (CIBERONC), Salamanca, Spain
| | - Luis Bujanda
- Gastroenterology Department, Instituto Biodonostia, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Universidad del País Vasco (UPV/EHU), San Sebastián, Spain
| | - Wei Li
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA.
| | - Ajay Goel
- Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA, USA.
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
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Galan-Cobo A, Qian Y, Peng F, McGrail DJ, Patel S, Zhang F, Zhang X, Skoulidis F, Parra E, Dang M, Rodriguez S, Reuben A, Wistuba I, Wang L, Heymach JV. Abstract 2113: Suppression of macrophage migration inhibitory factor (MIF) impairs tumor growth and overcomes immunotherapy resistance in KEAP1-deficient NSCLC tumors. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: KEAP1, which regulates the degradation of the antioxidant transcription factor NRF2, is the third most commonly mutated tumor suppressor in lung adenocarcinoma (LUAD). Recent reports have provided clinical evidence that mutations in STK11/LKB1 and KEAP1 are strongly associated with immune checkpoint blockade resistance in LUAD, particularly those harboring KRAS mutations. Nevertheless, the specific mechanisms by which loss of KEAP1 impacts anti-tumor immunity in KRAS mutant tumors remains to be determined.
Methods: KRAS-mutant (K) and LKB1 (KL), and/or KEAP1-deficient (KK and KLK) murine tumor models were profiled using single-cell RNA sequencing (scRNA-seq) and multiplex staining, and response to anti-PD1 treatment was assessed. Clinical samples from the MD Anderson ICON study (a cohort of 148 resected tumors from early-stage lung cancer patients) and TCGA lung cohorts were used to validate pre-clinical findings.
Results: While K tumors were sensitive to anti-PD1 treatment, KEAP1-deficient isogenic tumors (KK; KLK) were refractory. KEAP1-deficient tumors were found to exhibit low immune cell infiltration and an enrichment of cancer associated fibroblasts (CAFs) and endothelial cells. scRNA-seq analysis indicated that KEAP1-deficient tumors had reduced T cell infiltration, in particular, CD8 and NK T cells, decreased B cell populations, and a marked change in M2 macrophage polarization as compared to KEAP1-proficient tumors. Multiplex analysis of CD3 and F4/80 markers confirmed these findings. In the TCGA lung cancer cohort, CD8B expression was dramatically decreased while MIF (macrophage migration inhibitory factor) was upregulated in KK tumors as compared to K LUAD tumors, and expression of KEAP1 inversely correlated with CD163, ARG2 and IL10, which are mainly secreted by macrophages. KEAP1-deficient pre-clinical tumor models showed a significant upregulation of MIF expression and secretion. CRISPR-Cas9 deletion of MIF dramatically impaired in vivo tumor growth, and enhanced T cell cytotoxic effects, anti-tumor immune response and anti-PD1 treatment in KK and KLK tumor models.
Conclusions: These findings indicate that loss of KEAP1, alone or in combination with STK11/LKB1 alterations, contributes to an immunosuppressed tumor immune microenvironment. These changes appear to be mediated at least in part through MIF upregulation, providing a potential therapeutic strategy for overcoming KEAP1-dependent resistance to immunotherapy.
Citation Format: Ana Galan-Cobo, Yu Qian, Fuduan Peng, Daniel James McGrail, Sonia Patel, Fahao Zhang, Xiang Zhang, Ferdinandos Skoulidis, Edwin Parra, Minghao Dang, Saxon Rodriguez, Alexandre Reuben, Ignacio Wistuba, Linghua Wang, John Victor Heymach. Suppression of macrophage migration inhibitory factor (MIF) impairs tumor growth and overcomes immunotherapy resistance in KEAP1-deficient NSCLC tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2113.
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Affiliation(s)
| | - Yu Qian
- 1UT MD Anderson Cancer Center, Houston, TX
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Galan-Cobo A, Qian Y, Peng F, McGrail D, Zhang F, Zhang X, Parra E, Dang M, Rodriguez S, Reuben A, Wistuba I, Skoulidis F, Wang L, Heymach J. 926 Immune profiling of KEAP1-deficient NSCLC: development of therapeutic strategies to overcome resistance to immunotherapy. J Immunother Cancer 2021. [DOI: 10.1136/jitc-2021-sitc2021.926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
BackgroundIn LUAD, KEAP1 is the third most common tumor suppressor and loss-of-function mutations in KEAP1 commonly co-occur with STK11/LKB1 and KRAS mutations. KEAP1 protein that regulates the degradation of the antioxidant transcription factor NRF2. The role of STK11/LKB1 mutations in immunotherapy resistance has been characterized, however the mechanistic understanding of KEAP1 deficiency in shaping LUAD phenotype and therapy response is still very limited. Recent clinical data has been reported suggesting that mutations in STK11/LKB1 and KEAP1 are strongly associated with immune checkpoint blockade resistance in LUAD, particularly those with KRAS mutations. Nevertheless, the biology of KEAP1-deficient tumors and the immune suppression mechanisms are to be characterized.MethodsWe have first validated response to anti-PD1 treatment in vivo using subcutaneous murine models, and performed a deep profiling and characterization of tumor microenvironment (TME) heterogeneity of KRAS-mutant (K) and LKB1 (KL), and/or KEAP1 deficient (KK and KLK) tumors using single-cell RNA sequencing (scRNA-seq) and multiplex staining. Data from pre-clinical models has been used to survey the immune genomic data available from the MD Anderson ICON study (a cohort of early stage lung cancer untreated 148 resected tumors) and TCGA lung cohorts to further validate our findings.ResultsWhile K tumors showed significant response to anti-PD1 treatment, KEAP1 loss completely impaired therapeutic response to this immunotherapy. KEAP1-deficient tumors were characterized by low immune infiltration while displayed an enrichment of cancer associated fibroblasts (CAFs) and endothelial cells. scRNA-seq data indicated a significant reduction of T cell infiltration, in particularly, CD8 and NK T cells, pronounced decreased of B cell population and a marked M2 macrophages polarization. Likewise, IHC and multiplex analysis of CD3 and F4/80 markers confirmed these previous findings. In TCGA lung cancer cohort, CD8B expression was dramatically decreased while MIF (macrophage migration inhibitory factor) was upregulated in KK compared to K LUADs tumors, and expression of KEAP1 inversely correlated with CD163, ARG2 and IL10, which are mainly secreted by macrophages. Concordantly, KEAP1-deficient pre-clinical tumors showed a significant upregulation of MIF expression and secretion, and CRISPR-Cas9 deletion of MIF dramatically impaired in vivo tumor growth in KK and KLK but not in K or KL models.ConclusionsThese findings indicate that loss of KEAP1, alone or in combination with STK11/LKB1 alterations, unfavorably reprograms TME. These changes appear to be mediated at least in part through MIF upregulation, providing a potential therapeutic strategy for overcoming KEAP1-dependent resistance to immunotherapy.
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Sun Q, Chang W, Pan C, Xie JF, Peng F, Qiu HB, Yang Y. [The effects of positive end-expiratory pressure on central venous pressure in patients with different chest wall elastic resistance]. Zhonghua Nei Ke Za Zhi 2021; 60:960-964. [PMID: 34689516 DOI: 10.3760/cma.j.cn112138-20210326-00242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the role of chest wall elastic resistance in determining the effects of positive end-expiratory pressure (PEEP) on central venous pressure (CVP) in patients with mechanical ventilation (MV). Methods: In this prospective study, according to the median of ratio of chest wall elastic resistance to respiratory system elastic resistance (Ers), patients were divided into high chest wall elastic resistance group (Ecw/Ers≥0.24) and low chest wall elastic resistance group [elastance of chest wall (Ecw)/Ers<0.24]. PEEP was set at 5, 10, 15 cmH2O (1 cmH2O=0.098 kPa) respectively. Clinical data including CVP, heart rate (HR), blood pressure (BP) and respiratory mechanics were recorded. Results: Seventy patients receiving MV were included from November 2017 to December 2018. Clinical characteristics including age, BP, HR, baseline PEEP, the ratio of arterial oxygen partial pressure to fractional inspired oxygen (P/F) and comorbidities were comparable in two groups. However, patients with high Ecw/Ers ratio presented higher body mass index (BMI) than those with low Ecw/Ers ratio[ (25.4±3.2) kg/m2 vs. (23.4±3.2) kg/m2, P=0.011]. As PEEP increased from 5 cmH2O to 10 cmH2O, CVP in high Ecw/Ers group increased significantly compared with that in low Ecw/Ers group [1.75(1.00, 2.13) mmHg (1 mmHg=0.133kPa) vs. 1.50(0.50, 2.00)mmHg,P=0.038], which was the same as PEEP increased from 10 cmH2O to 15 cmH2O [2.00(1.50, 3.00)mmHg vs. 1.50(1.00, 2.00)mmHg,P=0.041] or PEEP increased from 5 cmH2O to 15 cmH2O [ 3.75(3.00,4.63)mmHg vs. 3.00(1.63, 4.00)mmHg, P=0.012]. When PEEP increased from 5 cmH2O to 10 cmH2O, 10 cmH2O to 15 cmH2O and 10 cmH2O to 15 cmH2O, there were significant correlations between Ecw/Ers and CVP elevation (r=0.29, P=0.016; r=0.31, P=0.011; r=0.31, P=0.01 respectively). Conclusions: In patients receiving mechanical ventilation, elevation of PEEP leads to a synchronous change of CVP, which is corelated with patients' chest wall elastic resistances.
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Affiliation(s)
- Q Sun
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - W Chang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - C Pan
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - J F Xie
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - F Peng
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - H B Qiu
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - Y Yang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
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Wei H, Zhou X, Yang H, Gong YL, Wang J, Xu Y, Zhou L, Xue J, Zou B, Zhang Y, Zhu J, Peng F, Huang M, Lu Y, Liu Y. 1227P Stereotactic body radiotherapy to the lung primary lesion improves the survival of patients with non-oligometastatic NSCLC harboring EGFR activating mutation with first-line EGFR-TKIs: A real-world study. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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22
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Peng F, Wang M, Xie Y, Xu M, Qin RY. [Comparative study of short-term efficacy,effectiveness and safety at different stages of the laparoscopic pancreaticoduodenectomy learning curve]. Zhonghua Wai Ke Za Zhi 2021; 59:618-623. [PMID: 34256463 DOI: 10.3760/cma.j.cn112139-20210330-00147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare short-term efficacy,effectiveness and safety of laparoscopic pancreaticoduodenectomy(LPD) learning curve at different stages and at the same time with open pancreaticoduodenectomy(OPD). Methods: Clinical data of 488 patients who underwent pancreaticoduodenectomy at Department of Biliary-Pancreatic Surgery,Affiliated Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology from July 2014 to December 2016 were collected. There were 40 cases at the groping stage of LPD surgery(100 cases at the same time of OPD),64 cases at the stable stage (89 cases at the same time of OPD),and 118 cases at the mature stage(77 cases at the same time of OPD).The clinical data of LPD and OPD in the same period were compared and analyzed by χ2 test,t test and U test,respectively. Results: There was no significant difference in preoperative indicators between the two groups at the three stages(all P>0.05). In terms of intraoperative blood volume of the LPD group was significantly lower than that of the OPD group at three stages(M(QR))(111.1(150.0)ml(range:0 to 700 ml) vs. 393.9(400.0)ml(range:0 to 3 000 ml),120.8(115.0)ml(range:0 to 1 000 ml) vs. 442.9(450.0)ml(range:0 to 2 000 ml) and 150.0(200.0)ml(range:10 to 1 500 ml) vs. 364.3(400.0)ml(range:0 to 1 500 ml))(all P<0.05). And in terms of operation time of the LPD group was significantly higher than that of the OPD group at the groping stage((461.1±123.9)min(range:220 to 690 minutes) vs. (385.9±113.9)minutes(range:150 to 655 minutes))(P<0.05),and there was no significant difference between the LPD group and the OPD group at the stable and mature stage(P>0.05). The incidence of B+C level pancreatic fistula of the LPD group was higher than that of the OPD group at groping stage(17.5% vs. 3.0%)(P<0.05). There was no significant difference between the LPD group and the OPD group at the stable and mature stage(P>0.05). The incidence of postoperative rebleeding(27.5%),bile leakage(20.0%) and abdominal infection(20.0%) of the LPD group was higher than those of the OPD group(11.0%(11/100),5.0%(5/100) and 7.0%(7/100)) at groping stage. There were no significant differences between the LPD group and the OPD group at the stable and mature stage(P>0.05). There were no significant differences of incidence gastrointestinal leakage,hepatic failure,renal failure,cardiac failure,pulmonary infection and 30-day death between the LPD group and the OPD group(all P>0.05). The incidence rate of gastroplegia in the LPD group was lower than that in the OPD group at the stable and mature stage(26.5%(17/64) vs. 44.9%(40/89) and 24.5%(29/118) vs. 38.9%(30/77))(all P<0.05),there was no significant difference between the LPD group and the OPD group at the groping stage(P>0.05). In terms of other incidence of complications,there were no significant differences between the LPD group and the OPD group at three stages(all P>0.05). There were no significant differences of positive margin rate of pancreas,bile duct,retroperitoneum,vascular channel,uncinate process and rate of R0 resection between the LPD group and the OPD group at three stages(all P>0.05). In terms of numbers of lymph nodes,there was no significant difference between the LPD group and the OPD group at three stages(all P>0.05).Postoperative hospital stay of the LPD group was shorter than that of the OPD group at the stable stage((14.8±6.9)days(range:10 to 38 days) vs. (17.0±9.0)days(range:4 to 56 days)) and the mature stage((13.0±7.4)days(range:3 to 57 days) vs. (15.8±6.7)days(range:6 to 69 days)(all P<0.05). Conclusion: with the stable and mature learning curve of LPD surgery,compared with traditional OPD surgery,it has the characteristics of less intraoperative bleeding,shorter postoperative hospitalization,lower incidence of delay gastric empty,safe and effective.
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Affiliation(s)
- F Peng
- Department of Biliary-Pancreatic Surgery,Affiliated Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China
| | - M Wang
- Department of Biliary-Pancreatic Surgery,Affiliated Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China
| | - Y Xie
- Department of Biliary-Pancreatic Surgery,Affiliated Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China
| | - M Xu
- Department of Biliary-Pancreatic Surgery,Affiliated Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China
| | - R Y Qin
- Department of Biliary-Pancreatic Surgery,Affiliated Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China
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23
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Jia Z, Wang Y, Wang Y, Wang W, Ye J, Li B, Han-Zhang H, Zhao J, Zhang X, Peng F, Chen F, Chen X, Lu Y, Ying S, Wu D, Zhang X, Ma C, Lai L, Ma S, Zhang S, Liu P, Liang N. MA08.09 Clinical Management of Lung Adenocarcinoma Patients With HER2 V659E Mutation. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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24
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Mei T, Yang X, Xiu W, Yu Y, Zhu J, Zhang Y, Huang M, Peng F, Yu M, Li Y, Zhou L, Xue J, Zhou X, Liu Y, Zou B, Xu Y, Wang Y, Lu Y, Gong Y. P50.12 A Novel Nomogram and Risk Classification System Predicting The Survival of Patients with Extensive-stage Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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25
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Peng F, Bao Y, Hu X, Chen M. P50.06 How much Platinum-Based Chemotherapy is Enough in Limited-Stage SCLC: A Propensity Score-Matched Analysis of a Prospective Trial. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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26
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Peng F, Bao Y, Hu X, Chen M. P49.02 Simultaneous Integrated Boost IMRT (54 Gy) versus Conventional IMRT (45 Gy) Twice Daily Combined With Chemotherapy for LS-SCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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27
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Tian X, Gong Y, Mei T, Yang X, Xu Y, Yu M, Li Y, Zhu J, Huang M, Zhang Y, Peng F, Zhou L, Zhou X, Xue J, Liu Y, Zou B, Wang Y, Lu Y. P30.09 Exposure to Antibiotics May Affect Progression-Free Survival Negatively in NSCLC Patients Receiving First-Line Chemotherapy. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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28
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Cai C, Tang Y, Li Y, Chen Y, Tian P, Wang Y, Gong Y, Peng F, Zhang Y, Yu M, Wang K, Zhu J, Lu Y, Huang M. P84.07 Distribution and Therapeutic Outcomes of Intergenic Sequence-ALK Fusion and Coexisting ALK Fusions in Lung Adenocarcinoma Patients. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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29
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Peng F, Liu Y, Chen F, Yu H, Kong F. Limb Lymphoedema in Breast Cancer Patients Receiving Radiation Therapy: A Pilot Study. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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30
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Lu F, Peng F, Zhong BL, Wang GM, Wang AW, Chen YY, Long ZH. [Foetus congenital cytomegalovirus infection: report of an autopsy case]. Zhonghua Bing Li Xue Za Zhi 2020; 49:748-750. [PMID: 32610393 DOI: 10.3760/cma.j.cn112151-20200214-00100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- F Lu
- Department of Pathology, Guangdong Second Provincial General Hospital & Guangdong Provincial Emergency Hospital, Guangzhou 510317, China
| | - F Peng
- Department of Pathology, Guangdong Second Provincial General Hospital & Guangdong Provincial Emergency Hospital, Guangzhou 510317, China
| | - B L Zhong
- Department of Pathology, Guangdong Second Provincial General Hospital & Guangdong Provincial Emergency Hospital, Guangzhou 510317, China
| | - G M Wang
- Department of Pathology, Guangdong Second Provincial General Hospital & Guangdong Provincial Emergency Hospital, Guangzhou 510317, China
| | - A W Wang
- Department of Pathology, Guangdong Second Provincial General Hospital & Guangdong Provincial Emergency Hospital, Guangzhou 510317, China
| | - Y Y Chen
- Department of Pathology, Guangdong Second Provincial General Hospital & Guangdong Provincial Emergency Hospital, Guangzhou 510317, China
| | - Z H Long
- Department of Pathology, Guangdong Second Provincial General Hospital & Guangdong Provincial Emergency Hospital, Guangzhou 510317, China
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31
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Peng F, Chen Z, Furue M, Zhang J. 681 PM2.5 is an AhR agonist that upregulates melanogenesis in human melanoma cells A375. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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32
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Yan J, Tian Y, Gao X, Cui L, Ning Y, Cao Y, Chen Y, Peng F, You L, Liu F, Zhao H. A genome-wide association study identifies FSHR rs2300441 associated with follicle-stimulating hormone levels. Clin Genet 2020; 97:869-877. [PMID: 32185793 DOI: 10.1111/cge.13741] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 02/27/2020] [Accepted: 03/04/2020] [Indexed: 12/21/2022]
Abstract
Follicle-stimulating hormone (FSH) and luteinizing hormone (LH) play critical roles in female reproduction, while the underlying genetic basis is poorly understood. Genome-wide association studies (GWASs) of FSH and LH levels were conducted in 2590 Chinese females including 1882 polycystic ovary syndrome (PCOS) cases and 708 controls. GWAS for FSH level identified multiple variants at FSHR showing genome-wide significance with the top variant (rs2300441) located in the intron of FSHR. The A allele of rs2300441 led to a reduced level of FSH in the PCOS group (β = -.43, P = 6.70 × 10-14 ) as well as in the control group (β = -.35, P = 6.52 × 10-4 ). In the combined sample, this association was enhanced after adjusting for the PCOS status (before: β = -.38, P = 1.77 × 10-13 ; after: β = -.42, P = 3.33 × 10-16 ), suggesting the genetic effect is independent of the PCOS status. The rs2300441 explained sevenfold higher proportion of the FSH variance than the total variance explained by the two previously reported FSHR missense variants (rs2300441 R2 = 1.40% vs rs6166 R2 = 0.17%, rs6165 R2 = 0.03%). GWAS for LH did not identify any genome-wide significant associations. In conclusion, we identified genome-wide significant association between variants in FSHR and circulating FSH first, with the top associated variant rs2300441 might be a primary contributor at the population level.
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Affiliation(s)
- Jinting Yan
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Ye Tian
- Center for Reproductive Medicine, Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China.,The Key Laboratory for Reproductive Endocrinology, Shandong University, Ministry of Education, Jinan, China.,Department of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China
| | - Xingjian Gao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Linlin Cui
- Center for Reproductive Medicine, Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China.,The Key Laboratory for Reproductive Endocrinology, Shandong University, Ministry of Education, Jinan, China
| | - Yunna Ning
- Center for Reproductive Medicine, Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China.,The Key Laboratory for Reproductive Endocrinology, Shandong University, Ministry of Education, Jinan, China
| | - Yongzhi Cao
- Center for Reproductive Medicine, Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China.,The Key Laboratory for Reproductive Endocrinology, Shandong University, Ministry of Education, Jinan, China
| | - Yan Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Fuduan Peng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Li You
- Center for Reproductive Medicine, Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China.,The Key Laboratory for Reproductive Endocrinology, Shandong University, Ministry of Education, Jinan, China
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.,Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Han Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China.,The Key Laboratory for Reproductive Endocrinology, Shandong University, Ministry of Education, Jinan, China
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Chen YM, Peng F, Zhang QC, Huang LC, Zhang WJ. Synthesis, Structure, and Luminescent Properties of a Cadmium(II) Supramolecular Coordination Complex. CRYSTALLOGR REP+ 2020. [DOI: 10.1134/s1063774519070046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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34
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Xiu W, Huang Y, Zhou X, Zhou L, Xue J, Zhu J, Huang M, Peng F, Liu Y, Xu Y, Zhang Y, Yu M, Li Y, Wang Y, Lu Y, Gong Y. Co-morbilities and survival of patients initially diagnosed with extensive-stage small cell lung cancer: Impact of hypertension, diabetes and chronic hepatitis B viral infection. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz437.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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35
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Luo C, Yang B, Zhou X, Zhou L, Zhou Y, Zhu J, Huang M, Peng F, Liu Y, Wang Y, Li Z, Lu Y, Lui S, Gong Y. JCSE01.28 Changes of Brain Structure in Advanced NSCLC Patients Receiving EGFR-TKIs: Dynamic Analysis Based on Series MRI Images. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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36
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Peng F, Bao Y, Chen L, Zhang Y, Niu S, Huang S, Chen Y, Chen M. Increased Radiation Pneumonitis after Crizotinib and Concurrent Thoracic Radiotherapy in Patients with ALK-positive Non-small-cell Lung Cancer. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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37
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Peng F, Zhu G, Hysi PG, Eller RJ, Chen Y, Li Y, Hamer MA, Zeng C, Hopkins RL, Jacobus CL, Wallace PL, Uitterlinden AG, Ikram MA, Nijsten T, Duffy DL, Medland SE, Spector TD, Walsh S, Martin NG, Liu F, Kayser M. Genome-Wide Association Studies Identify Multiple Genetic Loci Influencing Eyebrow Color Variation in Europeans. J Invest Dermatol 2019; 139:1601-1605. [DOI: 10.1016/j.jid.2018.12.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 11/29/2018] [Accepted: 12/12/2018] [Indexed: 11/30/2022]
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38
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Qin Y, Jiang L, Li Y, Ren L, Wang Y, Gong Y, Peng F, Zhu J, Ding Z, Liu Y, Yu M, Lu Y, Huang M. PD-L1 expression affect the efficacy of pemetrexed maintenance therapy in real-world patients with advanced non-squamous NSCLC. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz063.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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39
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Peng F, Ou X, Zhao Y, Zong M, Lou W. Highly selective resolution of racemic 1‐phenyl‐1,2‐ethanediol by a novel strain
Kurthia gibsonii
SC
0312. Lett Appl Microbiol 2019; 68:446-454. [DOI: 10.1111/lam.13123] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 01/16/2019] [Accepted: 01/22/2019] [Indexed: 11/29/2022]
Affiliation(s)
- F. Peng
- Laboratory of Applied Biocatalysis School of Food Science and Engineering South China University of Technology Guangzhou China
- Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety South China University of Technology Guangzhou China
| | - X.‐Y. Ou
- Laboratory of Applied Biocatalysis School of Food Science and Engineering South China University of Technology Guangzhou China
- Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety South China University of Technology Guangzhou China
| | - Y. Zhao
- Laboratory of Applied Biocatalysis School of Food Science and Engineering South China University of Technology Guangzhou China
- Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety South China University of Technology Guangzhou China
| | - M.‐H. Zong
- Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety South China University of Technology Guangzhou China
| | - W.‐Y. Lou
- Laboratory of Applied Biocatalysis School of Food Science and Engineering South China University of Technology Guangzhou China
- Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety South China University of Technology Guangzhou China
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40
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Gu Y, Wang R, Han Y, Zhou W, Zhao Z, Chen T, Zhang Y, Peng F, Liang H, Qi L, Zhao W, Yang D, Guo Z. A landscape of synthetic viable interactions in cancer. Brief Bioinform 2019; 19:644-655. [PMID: 28096076 DOI: 10.1093/bib/bbw142] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Indexed: 01/25/2023] Open
Abstract
Synthetic viability, which is defined as the combination of gene alterations that can rescue the lethal effects of a single gene alteration, may represent a mechanism by which cancer cells resist targeted drugs. Approaches to detect synthetic viable (SV) interactions in cancer genome to investigate drug resistance are still scarce. Here, we present a computational method to detect synthetic viability-induced drug resistance (SVDR) by integrating the multidimensional data sets, including copy number alteration, whole-exome mutation, expression profile and clinical data. SVDR comprehensively characterized the landscape of SV interactions across 8580 tumors in 32 cancer types by integrating The Cancer Genome Atlas data, small hairpin RNA-based functional experimental data and yeast genetic interaction data. We revealed that the SV interactions are favorable to cells and can predict clinical prognosis for cancer patients, which were robustly observed in an independent data set. By integrating the cancer pharmacogenomics data sets from Cancer Cell Line Encyclopedia (CCLE) and Broad Cancer Therapeutics Response Portal, we have demonstrated that SVDR enables drug resistance prediction and exhibits high reliability between two databases. To our knowledge, SVDR is the first genome-scale data-driven approach for the identification of SV interactions related to drug resistance in cancer cells. This data-driven approach lays the foundation for identifying the genomic markers to predict drug resistance and successfully infers the potential drug combination for anti-cancer therapy.
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Affiliation(s)
- Yunyan Gu
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Ruiping Wang
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yue Han
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Wenbin Zhou
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Zhangxiang Zhao
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Tingting Chen
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yuanyuan Zhang
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Fuduan Peng
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Haihai Liang
- Department of Pharmacology, Harbin Medical University, Harbin, China
| | - Lishuang Qi
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Wenyuan Zhao
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Da Yang
- Department of Pharmaceutical Sciences and Department of Computational & Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Zheng Guo
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Department of Bioinformatics, Fujian Medical University, Fuzhou, China
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41
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Peng F, Feng L, Chen J, Wang L, Li P, Ji A, Zeng C, Liu F, Li C. Validation of methylation-based forensic age estimation in time-series bloodstains on FTA cards and gauze at room temperature conditions. Forensic Sci Int Genet 2019; 40:168-174. [PMID: 30878720 DOI: 10.1016/j.fsigen.2019.03.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 02/18/2019] [Accepted: 03/05/2019] [Indexed: 01/17/2023]
Abstract
We previously proposed a prediction model consisting of 9 CpG sites for forensic age estimation with high practical potentials in Chinese males. Here, we further evaluated the performance of this prediction model in two independent batches of time-series bloodstain samples naturally exposed to room temperature conditions. The first batch consists of 30 Han Chinese males (18-59 years of age) whose peripheral blood was converted into bloodstains on Flinders Technology Association (FTA) cards and naturally exposed to room temperature conditions for different time points up to 3 months. The second batch consists of 99 Han Chinese males (21-66 years of age) whose peripheral blood was divided into 3 replicates, converted into bloodstains on gauze, and naturally exposed to room temperature conditions for 3 months. For each time point and each replicate, the methylation levels at the 9 CpG sites were detected using the EpiTYPER system. Applying the 9-CpG age prediction model to these bloodstain samples resulted in highly accurate age predictions for all time points and replicates (0.81 <R2 < 0.91, 2.94 < MAD < 3.55 years). The updated model combining our previous and current data achieved similarly high prediction results. Therefore, our 9-CpG age prediction model was successfully validated in time-series bloodstain samples converted on both FTA card and gauze under natural room temperature conditions, demonstrating high potentials in future forensic applications to Han Chinese males.
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Affiliation(s)
- Fuduan Peng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Lei Feng
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China.
| | - Jing Chen
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Ling Wang
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Pei Li
- Xingtai Public Security Bureau, Hebei, China
| | - Anquan Ji
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Changqing Zeng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China; Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.
| | - Caixia Li
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China.
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Wang LY, Feng X, Zhang BR, Ma N, Guo EK, Peng F, Tong X, Liu AH. [Efficacy analysis of LVIS and Enterprise stent assisted coil in the treatment of vertebral artery dissection aneurysm]. Zhonghua Yi Xue Za Zhi 2019; 99:685-689. [PMID: 30831618 DOI: 10.3760/cma.j.issn.0376-2491.2019.09.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To observe and evaluate the therapeutic efficacy of LVIS stent and Enterprise stent assisted coil in embolization of vertebral artery dissection aneurysm (VDA). Methods: Clinical data of 96 patients with VDAs treated by LVIS stent and Enterprise stent assisted coil were analyzed retrospectively between January, 2013 and June, 2017.Of all, the LVIS stent assisted coil was performed in 28 patients (LVIS-stent group) and Enterprise in 68 patients (Enterprise-stent group). The clinical and imaging follow-up were performed. The instant embolization rate, complications, and recurrence rate were analyzed and compared between the two groups. Results: Instant angiographic results:in the LVIS stent group, complete occlusion was achieved in 17 VDAs (60.7%), near-complete occlusion in 10VDAs (35.7%), and partial occlusion in 1 VDA (3.6%). In the Enterprise stent group, complete occlusion was achieved in 27 VDAs (39.7%), near-complete occlusion in 34VDAs(50.0%), partial occlusion in 7VDAs (10.3%). Procedure-related complications occurred in 3 patients (10.7%) in LVIS stent group and 3 patients (4.4%) in Enterprise stent group. DSA follow-up was performed during 6 to 12 months after surgery, and 10 patients with vertebral artery dissection aneurysm recurred, 2 in the LVIS group and 8 in the Enterprise stent group. The latest modified Rankin Scale score was 0 in 55 patients,1 in 13, 2 in 1, 3 in 1, and 6 in 1. Among them, all follow-up patients in the LVIS stent group had good prognosis, while in the Enterprise stent group, 50 patients (94.4%) had a good prognosis. Conclusions: The stent-assisted coils have a higher degree of embolization in the vertebral artery dissection aneurysms, a higher rate of near-total embolization, a lower incidence of neurological complications, and a good prognosis. The complete andnear-complete occlusion rates and the incidence of neurological complicationsin the LVIS group was higher than that in the Enterprise groupand the recurrence ratesin the LVIS group was lower than that in the Enterprise group,both with no statistically significant difference.
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Affiliation(s)
- L Y Wang
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070 Chian
| | - X Feng
- Beijing Hospital Neurosurgery Beijing100005 Chian
| | - B R Zhang
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070 Chian
| | - N Ma
- The Neurosurgery Department, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - E K Guo
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070 Chian
| | - F Peng
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070 Chian
| | - X Tong
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070 Chian
| | - A H Liu
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070 Chian
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43
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Liu F, Chen Y, Zhu G, Hysi PG, Wu S, Adhikari K, Breslin K, Pospiech E, Hamer MA, Peng F, Muralidharan C, Acuna-Alonzo V, Canizales-Quinteros S, Bedoya G, Gallo C, Poletti G, Rothhammer F, Bortolini MC, Gonzalez-Jose R, Zeng C, Xu S, Jin L, Uitterlinden AG, Ikram MA, van Duijn CM, Nijsten T, Walsh S, Branicki W, Wang S, Ruiz-Linares A, Spector TD, Martin NG, Medland SE, Kayser M. Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair. Hum Mol Genet 2019; 27:559-575. [PMID: 29220522 PMCID: PMC5886212 DOI: 10.1093/hmg/ddx416] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 11/29/2017] [Indexed: 01/18/2023] Open
Abstract
Shape variation of human head hair shows striking variation within and between human populations, while its genetic basis is far from being understood. We performed a series of genome-wide association studies (GWASs) and replication studies in a total of 28 964 subjects from 9 cohorts from multiple geographic origins. A meta-analysis of three European GWASs identified 8 novel loci (1p36.23 ERRFI1/SLC45A1, 1p36.22 PEX14, 1p36.13 PADI3, 2p13.3 TGFA, 11p14.1 LGR4, 12q13.13 HOXC13, 17q21.2 KRTAP, and 20q13.33 PTK6), and confirmed 4 previously known ones (1q21.3 TCHH/TCHHL1/LCE3E, 2q35 WNT10A, 4q21.21 FRAS1, and 10p14 LINC00708/GATA3), all showing genome-wide significant association with hair shape (P < 5e-8). All except one (1p36.22 PEX14) were replicated with nominal significance in at least one of the 6 additional cohorts of European, Native American and East Asian origins. Three additional previously known genes (EDAR, OFCC1, and PRSS53) were confirmed at the nominal significance level. A multivariable regression model revealed that 14 SNPs from different genes significantly and independently contribute to hair shape variation, reaching a cross-validated AUC value of 0.66 (95% CI: 0.62–0.70) and an AUC value of 0.64 in an independent validation cohort, providing an improved accuracy compared with a previous model. Prediction outcomes of 2504 individuals from a multiethnic sample were largely consistent with general knowledge on the global distribution of hair shape variation. Our study thus delivers target genes and DNA variants for future functional studies to further evaluate the molecular basis of hair shape in humans.
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Affiliation(s)
- Fan Liu
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.,University of Chinese Academy of Sciences, Beijing, China
| | - Yan Chen
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Sijie Wu
- University of Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kaustubh Adhikari
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK
| | - Krystal Breslin
- Department of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA
| | - Ewelina Pospiech
- Institute of Zoology and Biomedical Research, Faculty of Biology and Earth Sciences, Jagiellonian University, Kraków, Poland.,Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland
| | - Merel A Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Fuduan Peng
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Charanya Muralidharan
- Department of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA
| | - Victor Acuna-Alonzo
- Laboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City, México
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City, México
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | | | - Maria Catira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
| | - Rolando Gonzalez-Jose
- Instituto Patagónico de Ciencias Sociales y Humanas, CENPAT-CONICET, Puerto Madryn, Argentina
| | - Changqing Zeng
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Shuhua Xu
- University of Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Li Jin
- University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Susan Walsh
- Department of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA
| | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.,Central Forensic Laboratory of the Police, Warsaw, Poland
| | - Sijia Wang
- University of Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK.,Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China.,Laboratory of Biocultural Anthropology, Law, Ethics, and Health (Centre National de la Recherche Scientifique and Etablissement Français du Sang), Aix-Marseille Université, Marseille, France
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
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Yang J, Zhang J, Feng Y, Peng F, Fu F. A case of pulmonary mucormycosis presented as Pancoast syndrome and bone destruction in an immunocompetent adult mimicking lung carcinoma. J Mycol Med 2018; 29:80-83. [PMID: 30553628 DOI: 10.1016/j.mycmed.2018.10.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 10/29/2018] [Accepted: 10/29/2018] [Indexed: 12/11/2022]
Abstract
Pulmonary mucormycosis is a rare opportunistic infection caused by Mucormycosis. This fungal infection is uncommon in immunocompetent individuals. Because of its various clinical and imaging manifestations, it is a diagnostic challenge to distinguish pulmonary mucormycosis from other pulmonary diseases, such as carcinoma. Herein, we report a case of pulmonary mucormycosis presenting as Pancoast syndrome and bone destruction of ribs. A 46-year-old Chinese woman was admitted due to pain in chest, right neck and arm for four months and hoarseness for one week. The pre-admission diagnosis via chest CT was pulmonary carcinoma. The subsequent bronchoalveolar lavage fluid analysis and bronchoscopic biopsy were negative for malignant cells, except chronic inflammation. Imaging-guided percutaneous biopsies were carried out after admission and the final pathological diagnosis was pulmonary mucormycosis. Although the patient was started on oral posaconazole of 400mg bid, the disease condition continued to deteriorate. She finally died of respiratory failure.
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Affiliation(s)
- J Yang
- Department of Radiology, Zhejiang Hospital, 12, Lingyin road, 310013 Hangzhou, China.
| | - J Zhang
- Department of Radiology, Zhejiang Hospital, 12, Lingyin road, 310013 Hangzhou, China.
| | - Y Feng
- Department of Radiology, Zhejiang Hospital, 12, Lingyin road, 310013 Hangzhou, China.
| | - F Peng
- Department of Pathology, Zhejiang Hospital, 12, Lingyin road, 310013 Hangzhou, China.
| | - F Fu
- Department of Radiology, Zhejiang Hospital, 12, Lingyin road, 310013 Hangzhou, China.
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45
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Huang M, Gong Y, Zhu J, Qin Y, Peng F, Ren L, Ding Z, Liu Y, Wang Y, Lu Y. P066 A Phase I Study of Apatinib Combined with Pemetrexed and Carboplatin in Untreated EGFR-Negative Stage IV Non-Squamous NSCLC. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.10.081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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46
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Peng F, Lin XJ, Liu LP. [Papillon-Lefevre syndrome complicated with liver abscess]. Zhonghua Er Ke Za Zhi 2018; 56:701-702. [PMID: 30180413 DOI: 10.3760/cma.j.issn.0578-1310.2018.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
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47
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Wu S, Zhang M, Yang X, Peng F, Zhang J, Tan J, Yang Y, Wang L, Hu Y, Peng Q, Li J, Liu Y, Guan Y, Chen C, Hamer MA, Nijsten T, Zeng C, Adhikari K, Gallo C, Poletti G, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, González-José R, Li H, Krutmann J, Liu F, Kayser M, Ruiz-Linares A, Tang K, Xu S, Zhang L, Jin L, Wang S. Genome-wide association studies and CRISPR/Cas9-mediated gene editing identify regulatory variants influencing eyebrow thickness in humans. PLoS Genet 2018; 14:e1007640. [PMID: 30248107 PMCID: PMC6171961 DOI: 10.1371/journal.pgen.1007640] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 10/04/2018] [Accepted: 08/16/2018] [Indexed: 12/12/2022] Open
Abstract
Hair plays an important role in primates and is clearly subject to adaptive selection. While humans have lost most facial hair, eyebrows are a notable exception. Eyebrow thickness is heritable and widely believed to be subject to sexual selection. Nevertheless, few genomic studies have explored its genetic basis. Here, we performed a genome-wide scan for eyebrow thickness in 2961 Han Chinese. We identified two new loci of genome-wide significance, at 3q26.33 near SOX2 (rs1345417: P = 6.51×10(-10)) and at 5q13.2 near FOXD1 (rs12651896: P = 1.73×10(-8)). We further replicated our findings in the Uyghurs, a population from China characterized by East Asian-European admixture (N = 721), the CANDELA cohort from five Latin American countries (N = 2301), and the Rotterdam Study cohort of Dutch Europeans (N = 4411). A meta-analysis combining the full GWAS results from the three cohorts of full or partial Asian descent (Han Chinese, Uyghur and Latin Americans, N = 5983) highlighted a third signal of genome-wide significance at 2q12.3 (rs1866188: P = 5.81×10(-11)) near EDAR. We performed fine-mapping and prioritized four variants for further experimental verification. CRISPR/Cas9-mediated gene editing provided evidence that rs1345417 and rs12651896 affect the transcriptional activity of the nearby SOX2 and FOXD1 genes, which are both involved in hair development. Finally, suitable statistical analyses revealed that none of the associated variants showed clear signals of selection in any of the populations tested. Contrary to popular speculation, we found no evidence that eyebrow thickness is subject to strong selective pressure.
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Affiliation(s)
- Sijie Wu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Manfei Zhang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China
| | - Xinzhou Yang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- SIBS (Institute of Health Sciences) Changzheng Hospital Joint Center for Translational Research, Institutes for Translational Research (CAS-SMMU), Shanghai, China
| | - Fuduan Peng
- Key laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Juan Zhang
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Jingze Tan
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Yajun Yang
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Fudan-Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Lina Wang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yanan Hu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qianqian Peng
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jinxi Li
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yu Liu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yaqun Guan
- Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, Urumqi, China
| | - Chen Chen
- Department of Stomatology, Chang Zheng Hospital, Second Military Medical University, Shanghai, China
| | - Merel A. Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, CA Rotterdam, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, CA Rotterdam, The Netherlands
| | - Changqing Zeng
- Key laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City, México
| | | | - Gabriel Bedoya
- Laboratorio de Genética Molecular (GENMOL), Universidad de Antioquia, Medellín, Colombia
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Hui Li
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Jean Krutmann
- IUF-Leibniz Research Institute for Environmental Medicine, Dusseldorf, Germany
| | - Fan Liu
- Key laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, CA Rotterdam, The Netherlands
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, CA Rotterdam, The Netherlands
| | - Andres Ruiz-Linares
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
| | - Kun Tang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Shuhua Xu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming China
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- SIBS (Institute of Health Sciences) Changzheng Hospital Joint Center for Translational Research, Institutes for Translational Research (CAS-SMMU), Shanghai, China
| | - Li Jin
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming China
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48
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Ma N, Zhang BR, Feng X, Wang LY, Peng F, Liu AH. [Efficacy analysis of the endovascular treatment for 175 unruptured vertebrobasilar dissecting aneurysms]. Zhonghua Yi Xue Za Zhi 2018; 98:2176-2179. [PMID: 30032521 DOI: 10.3760/cma.j.issn.0376-2491.2018.27.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the clinical characteristics, clinical effect and follow-up outcome of the different endovascular treatment techniques in the treatment of unruptured vertebrobasilar dissecting aneurysms (VBDAs). Methods: The clinical data of 160 consecutive patients (175VBDAs) from January 2012 to December 2016 in Beijing Tiantan hospital were retrospectively analyzed.All of the 175 aneurysms were treated with endovascular embolization, including 115 stent-assisted coils, 27 simple stents, 21 blood flow diverting devices, and 12 parent arteries occlusion.The imaging and clinical follow-up were performed after the operation. Results: Headache including cervical-occipital pain(43.1%)was the most common clinical manifestation.The incidence of perioperative complications was 3.75%, no intraoperative bleeding and no deaths.The imaging findings of 113 aneurysms were followed up for (9.9±7.3) months.Of the 71 stent-assisted coils, 62 recovered well and 9 relapsed; of the 19 aneurysms treated with simple stent, 4 recovered well, 11 improved, 2 stable and 2 relapsed; of the 15 aneurysms treated by the blood flow diverting devices, 4 recovered and 11 improved; all of the 8 aneurysms with parent arteries occlusion recovered well.A total of 144 patients were follow-up (17.3±16.6) months by the Modified Rankin Scale(mRS) score: 140 patients were 0-2 score and 4 patients were 3-6 score. Conclusions: The clinical manifestations of the unruptured VBDAs are complex, and the headache is the most common clinical symptom.Endovascular treatment for the treatment of unruptured VBDAs is safe and feasible.The principle of individualization should be followed during embolization.
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Affiliation(s)
- N Ma
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China
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Feng L, Peng F, Li S, Jiang L, Sun H, Ji A, Zeng C, Li C, Liu F. Systematic feature selection improves accuracy of methylation-based forensic age estimation in Han Chinese males. Forensic Sci Int Genet 2018; 35:38-45. [DOI: 10.1016/j.fsigen.2018.03.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 03/08/2018] [Accepted: 03/22/2018] [Indexed: 12/11/2022]
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Ran M, Li Z, Cao R, Weng B, Peng F, He C, Chen B. miR-26a suppresses autophagy in swine Sertoli cells by targeting ULK2. Reprod Domest Anim 2018; 53:864-871. [PMID: 29761550 DOI: 10.1111/rda.13177] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 02/24/2018] [Indexed: 12/28/2022]
Abstract
A large number of microRNAs (miRNAs) have been detected from porcine testicular tissues thanks to the development of high-throughput sequencing technology. However, the regulatory roles of most identified miRNAs in swine testicular development or spermatogenesis are poorly understood. In our previous study, ULK2 (uncoordinated-51-like kinase 2) was predicted as a target gene of miR-26a. In this study, we aimed to investigate the role of miR-26a in swine Sertoli cell autophagy. The relative expression of miR-26a and ULK2 levels has a significant negative correlation (R2 = .5964, p ≤ .01) in nine developmental stages of swine testicular tissue. Dual-luciferase reporter assay results show that miR-26a directly targets the 3'UTR of the ULK2 gene (position 618-624). In addition, both the mRNA and protein expression of ULK2 were downregulated by miR-26a in swine Sertoli cells. These results indicate that miR-26a targets the ULK2 gene and downregulates its expression in swine Sertoli cells. Based on the expression of marker genes (LC3, p62 and Beclin-1), overexpression of miR-26a or knock-down of ULK2 inhibits swine Sertoli cell autophagy. Taken together, these findings demonstrate that miR-26a suppresses autophagy in swine Sertoli cells by targeting ULK2.
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Affiliation(s)
- M Ran
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, Changsha, China
| | - Z Li
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, Changsha, China
| | - R Cao
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, Changsha, China
| | - B Weng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, Changsha, China
| | - F Peng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, Changsha, China
| | - C He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, Changsha, China
| | - B Chen
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, Changsha, China
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