Academic literature on the topic 'M. jianfengi'

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Journal articles on the topic "M. jianfengi"

1

Dang, Lihong, Xiaoli Tong, and Laurence A. Mound. "New synonymy among gall thrips of the Asian genus Mesothrips, with revision of species from China (Thysanoptera, Haplothripini)." ZooKeys 1196 (March 22, 2024): 121–38. https://doi.org/10.3897/zookeys.1196.118131.

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Historical, nomenclatural, technical, and biological problems associated with the 42 species of <i>Mesothrips</i> are discussed. Type specimens have been re-examined of 14 of the 25 species that were described prior to 1930 and remain known only from imperfectly slide-mounted specimens. As a result, seven new synonyms are recognised. From China, six species of <i>Mesothrips</i> have been listed, but the records of <i>M. alluaudi</i> and <i>M. manii</i> are rejected, and three new species are described: <i>M. jianfengi</i> sp. nov., <i>M. longistylus</i> sp. nov., and <i>M. vernicia</i> sp. nov. These three species are divergent from other members of <i>Mesothrips</i> in lacking a prominent fore tarsal tooth and may indicate a possible generic relationship to the flower-living species in the Asian genus <i>Dolichothrips</i>. An illustrated key is provided to the seven <i>Mesothrips</i> species now known from China.
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2

Gu, Jianfeng, Yiwu Fang, Xinxin Ma, Baolin Shao, and Kan Zhuo. "Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan." Journal of Nematology 55, no. 1 (2023): 1–18. https://doi.org/10.2478/jofnem-2022-0036.

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Gu, Jianfeng, Fang, Yiwu, Ma, Xinxin, Shao, Baolin, Zhuo, Kan (2023): Meloidogyne paramali n. sp. (Nematoda: Meloidogyninae) and First Report of M. marylandi in maple and yacca tree from Japan. Journal of Nematology 55 (1): 1-18, DOI: 10.2478/jofnem-2022-0036, URL: http://dx.doi.org/10.2478/jofnem-2022-0036
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Dang, Lihong, Xiaoli Tong, and Laurence A. Mound. "New synonymy among gall thrips of the Asian genus Mesothrips, with revision of species from China (Thysanoptera, Haplothripini)." ZooKeys 1196 (March 22, 2024): 121–38. http://dx.doi.org/10.3897/zookeys.1196.118131.

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Historical, nomenclatural, technical, and biological problems associated with the 42 species of Mesothrips are discussed. Type specimens have been re-examined of 14 of the 25 species that were described prior to 1930 and remain known only from imperfectly slide-mounted specimens. As a result, seven new synonyms are recognised. From China, six species of Mesothrips have been listed, but the records of M. alluaudi and M. manii are rejected, and three new species are described: M. jianfengisp. nov., M. longistylussp. nov., and M. verniciasp. nov. These three species are divergent from other members of Mesothrips in lacking a prominent fore tarsal tooth and may indicate a possible generic relationship to the flower-living species in the Asian genus Dolichothrips. An illustrated key is provided to the seven Mesothrips species now known from China.
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4

Yu, Kai, Ying Yuan, Jianfeng Chen, et al. "Abstract 3971: Single-cell transcriptomic insights into tumor and immune dynamics driving resistance to sitravatinib, nivolumab, and ipilimumab in advanced clear cell renal cell carcinoma." Cancer Research 85, no. 8_Supplement_1 (2025): 3971. https://doi.org/10.1158/1538-7445.am2025-3971.

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Abstract The combination of sitravatinib, nivolumab, and ipilimumab offers a novel approach to enhance immunotherapy outcomes in advanced clear cell renal cell carcinoma (ccRCC). To explore the immunomodulatory and resistance mechanisms underlying this triplet therapy, we performed single-cell RNA sequencing (scRNA-seq) on tumor samples collected longitudinally from 12 patients across treatment timepoints. Transcriptomic data from 70,526 cells, including 58,331 tumor microenvironment (TME) cells, revealed dynamic shifts in cellular composition and transcriptional states during therapy. Analysis of TME cells identified eight major cell types, with notable increases in T cells and reductions in myeloid and endothelial cells post-treatment. Baseline T cell abundance correlated with improved clinical response, while fibroblast enrichment predicted resistance. Tumor cells were classified into ten transcriptionally distinct clusters, including a treatment-resistant population (C8) enriched in epithelial-mesenchymal transition (EMT), hypoxia, and glycolysis signatures. These signatures correlated with shorter progression-free survival in the trial cohort and worse survival outcomes in an external TCGA ccRCC dataset. T cell states showed a transition from cytotoxic to exhausted phenotypes in non-responders and end-of-treatment samples, suggesting a role for T cell dysfunction in resistance. Similarly, myeloid cells exhibited a shift toward immunosuppressive phenotypes, characterized by M2-like macrophages and inhibitory signaling pathways. These findings elucidate resistance mechanisms to the triplet therapy, highlighting EMT-driven tumor cell states and immunosuppressive TME dynamics as key contributors. The identification of a tumor-specific C8 signature provides a potential biomarker for predicting poor responses and tailoring therapeutic strategies. Further validation in larger cohorts is needed to optimize patient selection and therapeutic outcomes. Citation Format: Kai Yu, Ying Yuan, Jianfeng Chen, Xinmiao Yan, Menuka Karki, Fei Duan, Rahul Annil Sheth, Priya Rao, Kanishka Sircar, Amishi Yogesh Shah, Amado Zurita-Saavedra, Giannincola Genovesa, Min Li, Chih-Chen Yeh, Minghao Dang, Guangchun Han, Yanshuo Chu, Max Hallin, Peter Olson, Rui Yang, Daniela Slavin, Hirak Der-Torossian, Curtis Chin, Nizar M Tannir, Linghua Wang, Jianjun Gao, Pavlos Msaouel. Single-cell transcriptomic insights into tumor and immune dynamics driving resistance to sitravatinib, nivolumab, and ipilimumab in advanced clear cell renal cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3971.
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Cho, Kyung Serk, Yunhe Liu, Guangsheng Pei, et al. "Abstract 3962: Pan-cancer spatial characterization of tertiary lymphoid structures." Cancer Research 85, no. 8_Supplement_1 (2025): 3962. https://doi.org/10.1158/1538-7445.am2025-3962.

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Abstract Tertiary lymphoid structures (TLS) are frequently observed in various solid tumors, where they play a pivotal role in regulating anti-tumor immune responses. Despite their importance, our understanding of TLS and their interactions with cancer cells within complex tissue environments remains limited. Recent advances in spatial transcriptomics (ST) technology offer new possibilities for investigating the spatial and phenotypic heterogeneity of TLS. We developed TLSphenotyper, a computational framework for automatic TLS segmentation, labeling, extraction, and comprehensive profiling of TLS using spot-level ST data. It enables reproducible and efficient large-scale analysis of TLS. To accurately map TLS and characterize their cellular composition, we created a robust TLS-specific gene signature and enhanced the resolution of spot-level ST data to near-single-cell resolution. TLSphenotyper computes cell type-specific gene signature scores to generate a detailed cell type probability map across the tissue section. This map facilitates segmentation of key cellular components within TLS, enabling precise spatial mapping and colocalization analysis of major cell types and their transcriptomic states. Additionally, TLSphenotyper automatically analyzes and classifies TLSs based on their maturation stages, offering insights into their phenotypic and functional heterogeneity. Its accuracy and precision were validated using single-cell ST data generated from adjacent tissue sections. Further benchmarking against established deconvolution methods demonstrated superior accuracy and granularity in spatial cell type inference, cell organization and co-location analysis within TLS regions. To further investigate TLS and their interactions with cancer cells in a pan-cancer setting, we curated a comprehensive dataset of publicly available and in-house spot-level ST data, encompassing 340 tissue sections from 12 distinct cancer types. This represents the largest collection of ST data on human cancer assembled to date. Using TLSphenotyper, we identified and characterized 695 TLSs across 340 tissues. Our analysis revealed substantial variation in TLS presence, size, location, density, cellular composition, and maturation stage across cancer types. TLSs at different maturation stages exhibited distinct transcriptomic profiles. Notably, cancer cells in proximity to TLS demonstrated significantly different activity across key signaling pathways compared to those farther away, suggesting that TLS interaction can shape cancer cell expression profiles and cellular states. Additionally, patients classified based on the maturation stages of TLS demonstrated distinct survival outcomes. Together, this study provides novel insights into the spatial dynamics and phenotypic heterogeneity of TLS, identifies potential targets for modulating TLS, and establishes a valuable resource for the research community. Citation Format: Kyung Serk Cho, Yunhe Liu, Guangsheng Pei, Jianfeng Chen, Tieling Zhou, Khalida M. Wani, Alejandra G. Serrano, Sharia D. Hernandez, Akshaya S. Jadhav, Daiwei Zhang, Hannah C. Beird, Jiahui Jiang, Diana Shamsutdinova, Xinmiao Yan, Yibo Dai, Enyu Dai, Ashley L. Wilson, Anne Waldrep, Fuduan Peng, Wei Lu, Yang Liu, Jimin Min, Paola A. Guerrero, Idania C. Julio, Tong Yin, Shin Hsu Shi, Sabitha Prabhakaran, Scott E. Kopetz, Dipen M. Maru, Alexander Lazar, Amir A. Jazaeri, Michael Green, Mingyao Li, Catherine Sautes-Fridman, Wolf H. Fridman, Andrew Futreal, Luisa M. Soto, Humam Kadara, Anirban Maitra, Suet Yi Leung, Jianjun Gao, Linghua Wang. Pan-cancer spatial characterization of tertiary lymphoid structures [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3962.
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Soeung, Melinda, Xinmiao Yan, Li Zhang, et al. "Abstract 2702: Hyperprogression due to myeloid mimicry in renal medullary carcinoma treated with nivolumab plus ipilimumab." Cancer Research 84, no. 6_Supplement (2024): 2702. http://dx.doi.org/10.1158/1538-7445.am2024-2702.

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Abstract Renal medullary carcinoma (RMC) is a rare but highly aggressive SMARCB1-deficient kidney cancer that mainly afflicts young individuals of African descent and has few treatment options. Despite the advancements in immune checkpoint therapy (ICT) for other kidney cancers, its efficacy against RMC remains elusive. The majority of RMC patients treated with ICT have experienced aggressively progressive disease as the best response. This hyperprogression was confirmed in our prospective clinical trial of nivolumab plus ipilimumab specifically designed for RMC patients (ClinicalTrials.gov identifier: NCT03274258). To elucidate the mechanisms of resistance to ICT in RMC, we generated high-quality single-cell RNA sequencing data on 23,880 cells from 7 patients at baseline and 2 patients exhibiting hyperprogression after ICT intervention. Our analysis revealed that RMC tumor cells undergo a distinct transcriptional reconfiguration following ICT therapy. This reconfiguration is manifested by upregulation of S100A9 and activation of the MEK/ERK pathway, indicating that RMC tumor cells adopt myeloid-affiliated transcriptional circuits, potentially promoting cell proliferation and leading to hyperprogression. Using a mouse model of RMC, we further demonstrated in a controlled setting that ICT causes hyperprogressive disease via activation of MEK/ERK pathway and an increase of S100A9 positive tumor cells. This process can be reversed by inhibiting master regulators of this “myeloid mimicry” mechanism, such as the CEBPB/p300 complex in our mouse model of RMC, thus restoring sensitivity to ICT. These findings provide novel insights into RMC resistance to ICT and suggest valuable directions for the development of therapeutic strategies. Citation Format: Melinda Soeung, Xinmiao Yan, Li Zhang, Luigi Perelli, Jianfeng Chen, Becky Slack Tidwell, Hania Khan, Courtney N. Le, Truong N. Lam, Nirjar Bhattacharya, Rutvi Shah, I-Lin Ho, Ziheng Chen, Sebastian R. Lundgren, Ningping Feng, Ciro Zanca, Menuka Karki, Niki Marie Zacharias Millward, Rong He, Rahul A. Sheth, Bathala K. Tharakeswara, Priya Rao, Najat C. Daw, Durga N. Tripathi, Cheryl L. Walker, Guangchun Han, Yanshuo Chu, Ruiping Wang, Minghao Dang, Enyu Dai, Fuduan Peng, Yunhe Liu, Akshaya S. Jadhav, Wenhua Lang, Claudio A. Arrechedera, Leticia Campos Clemente, Edwin R. Parra-Cuentas, Hsinyi Lu, Cara Haymaker, Ignacio I. Wistuba, Andrew Futreal, Timothy Heffernan, Andrea Viale, Giulio F. Draetta, Nizar M. Tannir, Jianjun Gao, Linghua Wang, Giannicola Genovese, Pavlos Msaouel. Hyperprogression due to myeloid mimicry in renal medullary carcinoma treated with nivolumab plus ipilimumab [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2702.
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Cho, Kyung Serk, Jiahui Jiang, Daiwei Zhang, et al. "Abstract 7424: iStarTLS: Advanced detection and phenotyping of tertiary lymphoid structures." Cancer Research 84, no. 6_Supplement (2024): 7424. http://dx.doi.org/10.1158/1538-7445.am2024-7424.

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Abstract Tertiary lymphoid structures (TLSs) are clusters of immune cells formed in non-lymphoid tissues. They are often found at sites of chronic inflammation, notably within the invasive margins and the core of various solid tumors. TLSs are pivotal in mediating anti-tumor immunity. However, our understanding of TLSs in large/complex tissue contexts remains incomplete due to the lack of computational tools to effectively detect and phenotype TLSs. Recent advances in spatially resolved transcriptomics (SRT) present a broader spectrum of analytical possibilities for investigating the spatial phenotypic heterogeneity of TLSs and their interaction with stromal and cancer cells. Here, we present iStarTLS (Inferring Super-resolution Tissue ARchitecture for TLSs), a computational toolkit designed to process SRT data for TLS detection and phenotyping and showcase its performance on breast, bladder, and lung cancer samples. By effectively integrating spatial gene expression data with state-of-the-art machine learning techniques, we can substantially enhance our capabilities in TLS detection and comprehensive phenotyping. iStarTLS starts by enhancing the spatial resolution of spot-level gene expression data to near-single-cell resolution by leveraging high-resolution information provided by paired histology images. To detect TLSs and infer their cellular composition, we developed a TLS signature. Based on the high-resolution gene expression measurements and a curated reference panel of cell type-specific markers, we score cell type-specific gene signatures to obtain a cell type probability map across the whole tissue section. This map gives rise to a segmentation of key cell type components of TLSs, enabling the spatial mapping and colocalization of different cell types. Moreover, such an approach would allow us to infer the phenotypic states of cells within the TLSs, assess their cellular compositions, and discern their cellular organization in large, spatially heterogeneous tissues at a near-single-cell resolution. Notably, in conjunction with nuclei segmentation of high-resolution histology images, iStarTLS precisely maps high endothelial venules (HEVs), a key structure within TLSs often overlooked by previous studies. iStarTLS paves the way for uncovering novel mechanisms of immune-tumor interactions and designing personalized therapies targeting specific cellular components or states within TLSs. Citation Format: Kyung Serk Cho, Jiahui Jiang, Daiwei Zhang, Yunhe Liu, Jianfeng Chen, Rossana L. Segura, Xinmiao Yan, Guangsheng Pei, Luisa M. Soto, Yanshuo Chu, Ansam F. Sinjab, Cassian Yee, Scott Kopetz, Anirban Maitra, Andrew Futreal, Alexander Lazar, Amir A. Jazaeri, Humam Kadara, Jianjun Gao, Mingyao Li, Linghua Wang. iStarTLS: Advanced detection and phenotyping of tertiary lymphoid structures [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7424.
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Riaz, Zeeshan, Mariyam Qadir, and Samina Nawab. "Role of Transactional Leadership in Employee Performance: The Mediating Role Psychological Empowerment." Inverge Journal of Social Sciences 2, no. 2 (2023): 19–53. https://doi.org/10.63544/ijss.v2i2.23.

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This research focuses on the impact of "Transactional leader’s behaviour on job performance of knowledge employees". Taking enterprise knowledge employees as the research object and by introducing the psychological empowerment as the mediating variable, this research explores the impact of transactional leadership style on the job performance of knowledge employees. The first part is the introduction, which introduces the background of the study, research gap, problem statement, research questions, research objectives, and significance of the study, assumptions and delimitations, definition of key words. The second part is the literature review, which reviews the previous researches on the concepts, affecting factors and dimensions of research variables such as transactional leadership style, employee work performance and psychological empowerment. These laid a solid theoretical foundation for this research. The third part is the research design. On the basis of the previous research, the research model of this paper is constructed, there search hypothesis proposed and the research questionnaire designed by referring to the mature scale studied by the previous researchers. The fourth part is empirical research, which takes knowledge employees of state-owned enterprises in Pakistan as the research object. A total of 662 respondents data were obtained by means of questionnaire survey, and the reliability and validity analysis, difference analysis, correlation analysis, main hypothesis test and adjustment effect test were conducted on the collected data using SmartPLS V.3 and SPSS 25.0, partly verifying the theoretical model and research hypothesis. The fifth part is conclusion and prospect. This study draws research conclusions through the empirical research data results. Based on results, this research offers some suggestions to the managers of the state owned enterprise for the actual management of knowledge employees from the aspect of leadership style. References Ambad, S. N. A., Kalimin, K. M., Damit, D. H. D. A., &amp; Andrew, J. V. (2021). The mediating effect of psychological empowerment on leadership styles and task performance of academic staff. Leadership &amp; Organization Development Journal, 42(5), 763-782. Antonopoulou, H., Halkiopoulos, C., Barlou, O., &amp; Beligiannis, G. N. (2021). Transformational leadership and digital skills in higher education institutes: during the COVID-19 pandemic. Emerging science journal, 5(1), 1-15. Asif, M. (2021). Contingent Effect of Conflict Management towards Psychological Capital and Employees’ Engagement in Financial Sector of Islamabad [PhD Dissertation, Preston University, Kohat, Islamabad Campus.]. Islamabad. Asif, M., Khan, A., &amp; Pasha, M. A. (2019). Psychological Capital of Employees’ Engagement: Moderating Impact of Conflict Management in the Financial Sector of Pakistan. Global Social Sciences Review, IV(III), 160-172. Aurangzeb, Mushtaque, T., Tunio, M. N., Zia ur, R., &amp; Asif, M. (2021). INFLUENCE OF ADMINISTRATIVE EXPERTISE OF HUMAN RESOURCE PRACTITIONERS ON THE JOB PERFORMANCE: MEDIATING ROLE OF ACHIEVEMENT MOTIVATION. International Journal of Management (IJM), 12(4), 408-421. Baskoro, B. D. (2021). The nexus of transactional leadership, knowledge sharing behavior and organizational creativity: empirical evidence from construction workers in Jakarta. Journal of Work-Applied Management. Bass, B. M., &amp; Riggio, R. E. (2006). Transformational leadership. Psychology press. Bhardwaj, B., &amp; Kalia, N. (2021). Contextual and task performance: role of employee engagement and organizational culture in hospitality industry. Vilakshan-XIMB Journal of Management. Bian, X., Sun, Y., Zuo, Z., Xi, J., Xiao, Y., Wang, D., &amp; Xu, G. (2019). Transactional leadership and employee safety behavior: Impact of safety climate and psychological empowerment. Social Behavior and Personality: an international journal, 47(6), 1-9. Chuang, Y.-T., Chiang, H.-L., Lin, A.-P., &amp; Lien, Y.-C. (2022). Dual crossover mechanisms of benevolent supervision on followers' contextual performance and emotional exhaustion alleviation. Leadership &amp; Organization Development Journal. Dust, S. B., Resick, C. J., &amp; Mawritz, M. B. (2014). Transformational leadership, psychological empowerment, and the moderating role of mechanistic–organic contexts. Journal of Organizational Behavior, 35(3), 413-433. Fu, Q., Cherian, J., Ahmad, N., Scholz, M., Samad, S., &amp; Comite, U. (2022). An Inclusive Leadership Framework to Foster Employee Creativity in the Healthcare Sector: The Role of Psychological Safety and Polychronicity. International Journal of Environmental Research and Public Health, 19(8), 4519. Gong, Z., Li, M., &amp; Niu, X. (2021). The role of psychological empowerment in reducing job burnout among police officers: a variable-centered and person-centered approach. SAGE Open, 11(1), 2158244020983305. Hosseini, E., Ardekani, S. S., Sabokro, M., &amp; Salamzadeh, A. (2022). The study of knowledge employee voice among the knowledge-based companies: the case of an emerging economy. Revista de Gestão. Ilyas, S., Abid, G., Ashfaq, F., Ali, M., &amp; Ali, W. (2021). Status quos are made to be broken: The roles of transformational leadership, job satisfaction, psychological empowerment, and voice behavior. SAGE Open, 11(2), 21582440211006734. Iqbal, K., Naveed, M., Subhan, Q. A., Fatima, T., &amp; Alshahrani, S. T. (2022). When Self-Sacrificial Leaders Induce Employees’ Citizenship Behaviors? Uncovering the Nexus of Psychological Empowerment and Psychological Well-Being. SAGE Open, 12(1), 21582440221085257. Jaroliya, D., &amp; Gyanchandani, R. (2021). Transformational leadership style: a boost or hindrance to team performance in IT sector. Vilakshan-XIMB Journal of Management. Johannessen, J.-A. (2021). Leadership tools to increase the motivation of knowledge workers. In Continuous Change and Communication in Knowledge Management. Emerald Publishing Limited. Kalsoom, Z., Khan, M. A., &amp; Zubair, D. S. S. (2018). Impact of transactional leadership and transformational leadership on employee performance: A case of FMCG industry of Pakistan. Industrial engineering letters, 8(3), 23-30. Kiker, D. S., &amp; Motowidlo, S. J. (2020). Main and interaction effects of task and contextual performance on supervisory reward decisions. Journal of applied psychology, 84(4), 602. Koopmans, L., Bernaards, C., Hildebrandt, V., Van Buuren, S., Van der Beek, A. J., &amp; De Vet, H. C. (2013). Development of an individual work performance questionnaire. International journal of productivity and performance management. Kyei-Frimpong, M., Adu, I. N., Suleman, A.-R., &amp; Boakye, K. O. (2022). In search of performance-oriented leadership behaviours in the Ghanaian financial service sector: the role of knowledge sharing. Journal of Work-Applied Management. Leitão, M., Correia, R. J., Teixeira, M. S., &amp; Campos, S. (2022). Effects of leadership and reward systems on employees' motivation and job satisfaction: an application to the Portuguese textile industry. Journal of Strategy and Management. Li-Chaoping, X., Shi-Kan-,Chen-Xuefeng. (2006). Psychological Empowerment: Measurement and its Effect on Employees’ Work Attitude in China. Acta Psychologica Sinica, 38(01), 99-106. {https://journal.psych.ac.cn/acps/CN/abstract/article_1094.shtml} Lin, C.-P., Huang, H.-T., &amp; Huang, T. Y. (2020). The effects of responsible leadership and knowledge sharing on job performance among knowledge workers. Personnel Review. Muliati, L., Asbari, M., Nadeak, M., Novitasari, D., &amp; Purwanto, A. (2022). Elementary School Teachers Performance: How The Role of Transformational Leadership, Competency, and Self-Efficacy? International Journal of Social and Management Studies, 3(1), 158-166. Mumtaz, A., Munir, N., Mumtaz, R., Farooq, M., &amp; Asif, M. (2023). Impact Of Psychological &amp; Economic Factors On Investment Decision-Making In Pakistan Stock Exchange. Journal of Positive School Psychology, 7(4), 130-135. Ölçer, F., &amp; Florescu, M. (2015). Mediating effect of job satisfaction in the relationship between psychological empowerment and job performance. Theoretical and Applied Economics, 22(3), 111-136. Qasim, M., Irshad, M., Majeed, M., &amp; Rizvi, S. T. H. (2021). Examining Impact of Islamic work ethic on task performance: mediating effect of psychological capital and a moderating role of ethical leadership. Journal of Business Ethics, 1-13. Sahibzada, U. F., Jianfeng, C., Latif, K. F., Shafait, Z., &amp; Sahibzada, H. F. (2022). Interpreting the impact of knowledge management processes on organizational performance in Chinese higher education: mediating role of knowledge worker productivity. Studies in Higher Education, 47(4), 713-730. Shah, S. M. M., &amp; Hamid, K. B. A. (2015). Transactional leadership and job performance: An empirical investigation. Sukkur IBA Journal of Management and Business, 2(2), 74-85. Siachou, E., Trichina, E., Papasolomou, I., &amp; Sakka, G. (2021). Why do employees hide their knowledge and what are the consequences? A systematic literature review. Journal of Business Research, 135, 195-213. Soleimani, M., Dana, L. P., Salamzadeh, A., Bouzari, P., &amp; Ebrahimi, P. (2022). The effect of internal branding on organisational financial performance and brand loyalty: mediating role of psychological empowerment. Journal of Asian Business and Economic Studies. Spreitzer, G. M. (1995). Psychological empowerment in the workplace: Dimensions, measurement, and validation. Academy of management Journal, 38(5), 1442-1465. Sun, X. (2016). Psychological empowerment on job performance—mediating effect of job satisfaction. Psychology, 7(04), 584. Teoh Yi Zhe, I., &amp; Keikhosrokiani, P. (2021). Knowledge workers mental workload prediction using optimised ELANFIS. Applied Intelligence, 51(4), 2406-2430. Van Zyl, L. E., Van Oort, A., Rispens, S., &amp; Olckers, C. (2021). Work engagement and task performance within a global Dutch ICT-consulting firm: The mediating role of innovative work behaviors. Current Psychology, 40(8), 4012-4023. Wang, W.-T., Wang, Y.-S., &amp; Chang, W.-T. (2019). Investigating the effects of psychological empowerment and interpersonal conflicts on employees’ knowledge sharing intentions. Journal of knowledge management. Zhu, W., Sosik, J. J., Riggio, R. E., &amp; Yang, B. (2012). Relationships between transformational and active transactional leadership and followers’ organizational identification: The role of psychological empowerment. Journal of Behavioral and Applied Management, 13(3), 168-212.
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Dai, Yibo, Anne Knisely, Barrett Craig Lawson, et al. "Abstract 5656: Longitudinal spatial profiling reveals chemoresistance mechanisms and characteristics of minimal residual disease in high-grade serous ovarian cancer." Cancer Research 84, no. 6_Supplement (2024): 5656. http://dx.doi.org/10.1158/1538-7445.am2024-5656.

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Abstract High-grade serous ovarian cancer (HGSOC) is the most lethal gynecologic malignancy globally. Despite an initial response to upfront surgery and platinum-based chemotherapy in most cases, over 70% will relapse. A critical source of recurrence is minimal residual disease (MRD), which persists after upfront treatment yet is clinically undetectable. In this study, we performed second look laparoscopy (SLL) on advanced stage HGSOC patients who had received neoadjuvant chemotherapy (NACT) followed by interval debulking surgery and adjuvant chemotherapy and were in complete clinical remission by imaging and CA-125 tumor marker. Surgical MRD status was determined by pathological review of SLL biopsies. Matched samples from pre-treatment biopsy, interval debulking surgery and SLL in 4 MRD+ and 3 MRD- cases were analyzed using GeoMx Digital Spatial Profiling. Among them, samples from 1 MRD+ and 1 MRD- case were also profiled with Visium. The tumor cells of MRD+ cases exhibited stronger signaling related to hypoxia, angiogenesis, and epithelial-mesenchymal transition at baseline as well as diminished apoptosis signaling after NACT. In addition, progressively upregulated expressions of ATP binding cassette transporters were also observed over time in the tumor compartment of MRD+ cases, potentially contributing to chemoresistance. In the tumor microenvironment, MRD- cases displayed increased abundance of plasma cells, conventional dendritic cells and lymphocytes in both pre-treatment and interval debulking samples compared to MRD+ cases. Notably, Visium data of the MRD- case revealed tertiary lymphoid structures (TLS) in the pre-treatment sample, which became better organized following NACT, with plasma cells disseminating into adjacent tumor areas. Conversely, TLS were fewer and poorly organized in the MRD+ case. Longitudinal comparison of the 3 timepoints in MRD+ cases revealed more regulatory T cells in the stromal compartments of the MRD lesions. Furthermore, from Visium data, exclusion of CD8 T and plasma cells from the tumor core was evident in the MRD lesion. In line with this, strong TGF-β, IL-1β, IL6 and FGF2 signaling surrounding the tumor were noted, likely contributing to immune exclusion. The spatial distribution of multiple immune checkpoint molecules highly overlapped with that of CD8 T cells, indicating T cell exhaustion in the MRD lesion. In summary, these data suggested distinct cancer phenotypic states and immune features in surgically detected MRD+ HGSOC, shedding light on potential chemoresistance and immune evasion mechanisms that contribute to the MRD phase of disease. This study represents the first systemic characterization of ovarian cancer MRD by leveraging SLL, providing insights for designing personalized therapies aimed at eradicating these chemoresistant lesions and ultimately preventing disease recurrence. Citation Format: Yibo Dai, Anne Knisely, Barrett Craig Lawson, Sanghoon Lee, Khalida M. Wani, Rossana N. Lazcano Segura, Brenda Melendez, Jianfeng Chen, Yunhe Liu, Manoj Chelvanambi, Laura A. Gibson, Sarah B. Johnson, Chih-Chen Yeh, Davis R. Ingram, Courtney W. Hudgens, Kyung Serk Cho, Guangsheng Pei, Jiahui Jiang, Yanshuo Chu, Alexander J. Lazar, Jianjun Gao, Jennifer Wargo, Linghua Wang, Amir A. Jazaeri. Longitudinal spatial profiling reveals chemoresistance mechanisms and characteristics of minimal residual disease in high-grade serous ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5656.
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Qian, Jing, Melinda Soeung, Xinmiao Yan, et al. "Abstract 646: Unravelling the mechanisms of resistance and hyperprogression of renal medullary carcinoma to immune checkpoint therapy." Cancer Research 85, no. 8_Supplement_1 (2025): 646. https://doi.org/10.1158/1538-7445.am2025-646.

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Abstract:
Abstract Renal medullary carcinoma (RMC) is defined by the loss of the SMARCB1 tumor suppressor and represents one of the most aggressive kidney cancers, predominantly affecting young individuals of African descent with the sickle cell trait. RMC exhibits rapid progression, and poor response to standard therapies, with a median survival of only 13 months following diagnosis. In pursuit of more effective treatments, we launched two clinical trials specifically for patients with RMC evaluating anti-PD1 + anti-CTLA4 immune checkpoint therapy (ICT) with nivolumab + ipilimumab (ClinicalTrials.gov identifier: NCT03274258) and anti-PD1 + anti-LAG3 ICT using nivolumab + relatlimab (ClinicalTrials.gov identifier: NCT05347212). However, both trials were terminated early for futility due to resistance and hyperprogression by the established consensus Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 radiological criteria in Matos et al. Clin Cancer Res. 2020 (PMID: 31757877). Co-clinical experiments testing the same ICT regimens in our immunocompetent somatic mosaic genetically engineered mouse model (GEMM) of RMC demonstrated similar patterns of resistance and hyperprogression with ICT compared with IgG control. The combination of anti-PD1 with either anti-CTLA4 or anti-LAG3 significantly accelerated primary tumor progression and markedly increased metastatic burdens in the lung and liver of RMC mice. Comprehensive analyses, including longitudinally collected single-cell RNA sequencing from human RMC patient samples and RNA sequencing of GEMM RMC tumors revealed significant transcriptional reprogramming, enhanced tumor proliferation, activation of oncogenic pathways, and a shift toward myeloid-specific gene expression by RMC tumor cells in response to ICT. In our RMC mouse models, tumor cells have been engineered to express green fluorescent protein (GFP), enabling us to distinguish them from non-malignant mouse cells. Accordingly, multiplex immunofluorescence (mIF) revealed that tumor tissues from mice treated with ICT showed a significant increase of tumor cells co-expressing GFP and myeloid markers such as CD68, F4/80 and S100A9. Differential patterns of resistance and hyperprogression when RMC mice were treated with monotherapies targeting PD1, CTLA4, or LAG3. To counteract ICT-induced hyperprogression, we tested the CEBPB/p300 complex inhibitor IACS16898 which successfully induced tumor responses when combined with ICT in our RMC GEMM. IACS16898 treatment significantly reduced the expression of myeloid-associated markers on GFP+ tumor cells. Our study not only elucidates a novel mechanism of resistance and hyperprogression to PD1 plus either CTLA4 or LAG3 inhibition in SMARCB1-deficient cancers but also provides a foundation for targeting oncogenic and resistance pathways in RMC treated with distinct immunotherapy regimens. Citation Format: Jing Qian, Melinda Soeung, Xinmiao Yan, Kai Yu, Ciro Zanca, Li Zhang, Ziheng Chen, Luigi Perelli, Jianfeng Chen, Rebecca Slack Tidwell, Hania Khan, Fei Duan, Menuka Karki, Rong He, Courtney N. Le, Truong N.A. Lam, Nirjar Bhattacharya, Mariah N. Williams, David H. Peng, Rutvi Shah, I-Lin Ho, Ningping Feng, Niki Millward Zacharias, Rahul Anil Sheth, Tharakeswara K. Bathala, Priya Rao, Najat C. Daw, Durga N. Tripathi, Cheryl L. Walker, Ruiping Wang, Minghao Dang, Enyu Dai, Fuduan Peng, Yunhe Liu, Akshaya S. Jadhav, Wenhua Lang, Claudio A. Arrechedera, Leticia Campos Clemente, Hsinyi Lu, Cara L. Haymaker, Ignacio I. Wistuba, Andrew Futreal, Andrea Viale, Timothy Heffernan, Giulio F. Draetta, Nazir M. Tannir, Jianjun Gao, Linghua Wang, Giannicola Genovese, Pavlos Msaouel. Unravelling the mechanisms of resistance and hyperprogression of renal medullary carcinoma to immune checkpoint therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 646.
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