☆ 4.7 Letter

Sex as a predictor of response to cancer immunotherapy

LANCET ONCOLOGY (2018)

Journal

LANCET ONCOLOGY

Volume 19, Issue 8, Pages E379-E379

Publisher

ELSEVIER SCIENCE INC

DOI: 10.1016/S1470-2045(18)30445-5

Keywords

-

Categories

Oncology

Funding

NCI NIH HHS [R21 CA198544] Funding Source: Medline
NHLBI NIH HHS [R01 HL136921] Funding Source: Medline

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Authors

I am an author on this paper

Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7

Not enough ratings

Secondary Ratings

Novelty

-

Significance

-

Scientific rigor

-

Rate this paper

Recommended

Article Oncology

Sex as a Predictor of Response to Immunotherapy in Advanced Cutaneous Squamous Cell Carcinoma

Nicholas Yeo, Benjamin Genenger, Morteza Aghmesheh, Amarinder Thind, Sarbar Napaki, Jay Perry, Bruce Ashford, Marie Ranson, Daniel Brungs

Summary: This study aimed to describe the experience of immunotherapy in a cohort of patients with advanced cutaneous squamous cell carcinoma (CSCC) in Australia. The results showed that male patients were more likely to have better treatment responses compared to female patients. Differential expression analysis of 770 immune-related genes demonstrated an impaired CD8 T-cell response in female patients. Immunotherapy demonstrated durable responses in the majority of patients.

CANCERS (2023)

Add to Collection

Article Oncology

Tissue MicroRNA Expression as a Predictor of Response to Immunotherapy in NSCLC Patients

Anna Grenda, Pawel Krawczyk, Justyna Blach, Izabela Chmielewska, Tomasz Kubiatowski, Stanislaw Kieszko, Kamila Wojas-Krawczyk, Tomasz Kucharczyk, Bozena Jarosz, Iwona Pasnik, Malgorzata Borowiec-Bar, Malgorzata Frak, Robert Kieszko, Michal Szczyrek, Katarzyna Reszka, Kinga Krukowska, Agnieszka Kolak, Slawomir Mandziuk, Dariusz Kowalski, Marek Sawicki, Daria Swiniuch, Elzbieta Staroslawska, Rodryg Ramlau, Justyna Szumilo, Maciej Krzakowski, Janusz Milanowski

Summary: miR-200b and miR-429 molecules in tumor cells appear to have the greatest impact on the effectiveness of immunotherapy in NSCLC patients. There is a significant correlation between the expression levels of these two microRNAs and the effectiveness of immunotherapy.

FRONTIERS IN ONCOLOGY (2021)

Add to Collection

Article Medicine, Research & Experimental

A sialyltransferases-related gene signature serves as a potential predictor of prognosis and therapeutic response for bladder cancer

Penglong Cao, Mingying Chen, Tianya Zhang, Qin Zheng, Mulin Liu

Summary: This study establishes a prognostic model for bladder cancer patients using SiaTs-related genes, which can predict patients' survival outcome and therapeutic responsiveness.

EUROPEAN JOURNAL OF MEDICAL RESEARCH (2023)

Add to Collection

Article Biochemistry & Molecular Biology

Immunohistochemical Assessment of the P53 Protein as a Predictor of Non-Small Cell Lung Cancer Response to Immunotherapy

Alejandro Olivares-Hernandez, Edel del Barco Morillo, Jose Pablo Miramontes-Gonzalez, Luis Figuero-Perez, Luis Perez-Belmonte, Javier Martin-Vallejo, Teresa Martin-Gomez, Roberto Escala-Cornejo, Rosario Vidal-Tocino, Lorena Bellido Hernandez, Rogelio Gonzalez Sarmiento, Maria Dolores Ludena de la Cruz, Juan Jesus Cruz-Hernandez, Carmen Parra Perez

Summary: This study evaluated the p53 protein expression in NSCLC as a predictive biomarker for the response to ICIs using IHC. Results showed that patients with high expression of p53 by IHC had a better response to ICIs in terms of PFS and OS, especially in the PD-L1 negative adenocarcinoma subgroup.

FRONTIERS IN BIOSCIENCE-LANDMARK (2022)

Add to Collection

Review Immunology

Tertiary Lymphoid Structures as a Predictive Biomarker of Response to Cancer Immunotherapies

Marta Trub, Alfred Zippelius

Summary: Tertiary lymphoid structures (TLS) are ectopic lymphoid formations formed under long-lasting inflammatory conditions, including tumors. Comprising mainly of B cells, T cells, and dendritic cells, TLS have been associated with improved survival and clinical outcomes in cancer patients. The exact mechanism by which TLS contribute to the anti-tumour response remains unclear, but research in this area has potential for novel B-cell focused immunotherapies.

FRONTIERS IN IMMUNOLOGY (2021)

Add to Collection

Article Oncology

The Ratio of GrzB+-FoxP3+ over CD3+ T Cells as a Potential Predictor of Response to Nivolumab in Patients with Metastatic Melanoma

Giosue Scognamiglio, Mariaelena Capone, Francesco Sabbatino, Annabella Di Mauro, Monica Cantile, Margherita Cerrone, Gabriele Madonna, Antonio Maria Grimaldi, Domenico Mallardo, Marco Palla, Sabrina Sarno, Anna Maria Anniciello, Maurizio Di Bonito, Paolo Antonio Ascierto, Gerardo Botti

Summary: This study focuses on immune cells within the tumor microenvironment and has developed a ratio that correlates with response to anti-PD1 therapy. The developed ratio may help in better patient selection for the treatment.

CANCERS (2021)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

CT texture analysis as a predictor of favorable response to anti-PD1 monoclonal antibodies in metastatic skin melanoma

Angele Bonnin, Carole Durot, Maxime Barat, Manel Djelouah, Florent Grange, Sebastien Mule, Philippe Soyer, Christine Hoeffel

Summary: The study revealed a correlation between pretreatment CT texture analysis features and treatment response in metastatic skin melanoma cases, indicating the potential of using these features as predictors of favorable response to anti-PD1 monoclonal antibodies.

DIAGNOSTIC AND INTERVENTIONAL IMAGING (2022)

Add to Collection

Article Genetics & Heredity

Guanylate-Binding Protein 1 as a Potential Predictor of Immunotherapy: A Pan-Cancer Analysis

Yaqi Zhao, Jie Wu, Lan Li, Huibo Zhang, Haohan Zhang, Jing Li, Hao Zhong, Tianyu Lei, Yan Jin, Bin Xu, Qibin Song

Summary: This study reveals the expression patterns of GBP1 in different cancer types and identifies GBP1 expression as a predictive biomarker for immunotherapy. The results show that patients with higher GBP1 expression have better responses to immunotherapy and exhibit improved prognosis and clinical benefits.

FRONTIERS IN GENETICS (2022)

Add to Collection

Review Immunology

Tumor-resident memory T cells as a biomarker of the response to cancer immunotherapy

Isabelle Damei, Tatiana Trickovic, Fathia Mami-Chouaib, Stephanie Corgnac

Summary: Tumor-infiltrating lymphocytes (TIL) contain CD8(+) tissue-resident memory T (T-RM) cells that are enriched in tumor-specific T cells and play a major role in antitumor immune response. These T-RM cells express tissue residency markers and inhibitory receptors, but still have a strong cytotoxic function towards malignant cells. They form stable conjugates with tumor cells and interact with other cells in the tumor microenvironment to orchestrate an optimal T-cell response. TGF-β is essential for the formation and maintenance of T-RM cells, and these cells have proven to be a prognostic and predictive marker for cancer patients' response to immunotherapies.

FRONTIERS IN IMMUNOLOGY (2023)

Add to Collection

Article Immunology

The cuproptosis-associated 11 gene signature as a predictor for outcomes and response to Bacillus Calmette-Guerin and immune checkpoint inhibitor therapies in bladder carcinoma

Huiyang Yuan, Yuchen Xiu, Tiantian Liu, Yidong Fan, Dawei Xu

Summary: Bladder cancer (BC) originates from urothelium and can be divided into non-muscle invasive BC (NMIBC) and muscle invasive BC (MIBC). A gene signature model called CuAGS-11 accurately predicts survival and response to BCG and ICI regimens in BLCA patients.

FRONTIERS IN IMMUNOLOGY (2023)

Add to Collection

Article Biochemistry & Molecular Biology

Clinical Eosinophil-Associated Genes can Serve as a Reliable Predictor of Bladder Urothelial Cancer

Chaojie Xu, Lishan Song, Hui Peng, Yubin Yang, Yi Liu, Dongchen Pei, Jianhua Guo, Nan Liu, Jiabang Liu, Xiaoyong Li, Chen Li, Zhengjun Kang

Summary: This study reveals the significant role of infiltrating eosinophils in tumor progression and immunotherapy of bladder urothelial carcinoma (BLCA). Candidate modules and hub genes associated with eosinophils were identified through weighted gene co-expression network analysis (WGCNA), and a risk score model based on eosinophil-related genes was developed. The results demonstrate that this risk score model can serve as a reliable predictor for the prognosis of BLCA patients and has important implications for immunotherapy and chemotherapy drug sensitivity.

FRONTIERS IN MOLECULAR BIOSCIENCES (2022)

Add to Collection

Review Medicine, General & Internal

Sex difference in response to non-small cell lung cancer immunotherapy: an updated meta-analysis

Jiali Liang, Jiaze Hong, Xin Tang, Xinyi Qiu, Keying Zhu, Liyuan Zhou, Dina Guo

Summary: Compared to chemotherapy, immunotherapy can improve the prognosis of patients with advanced NSCLC. The most interesting finding in this study is the significant sex differences in the efficacy of immunotherapy in treating squamous NSCLC.

ANNALS OF MEDICINE (2022)

Add to Collection

Review Genetics & Heredity

Hormone-Related Cancer and Autoimmune Diseases: A Complex Interplay to be Discovered

A. Losada-Garcia, S. A. Cortes-Ramirez, M. Cruz-Burgos, M. Morales-Pacheco, Carlos D. Cruz-Hernandez, Vanessa Gonzalez-Covarrubias, Carlos Perez-Plascencia, M. A. Cerbon, M. Rodriguez-Dorantes

Summary: Neoplasic transformation is a continuous process that the immune system can recognize and suppress, but transformed cells can evade immune defenses and progress into tumors. Hormones can modulate the immune system and are involved in the pathogenesis of autoimmune diseases and cancer.

FRONTIERS IN GENETICS (2022)

Add to Collection

Article Oncology

ENPEP as a potential predictor of immune checkpoint inhibitor efficacy

Aoyun Wang, Han Chu, Zheng Jin, Zhihua Gong, Qingzhu Jia, Bo Zhu

Summary: ENPEP expression levels were associated with response rates and overall survival in patients receiving immune checkpoint inhibitors, suggesting ENPEP as a potential biomarker for predicting response to this type of treatment. Furthermore, ENPEP was also linked to M2 macrophage infiltration and activation in TCGA, indicating its role in the tumor immune microenvironment.

CANCER MEDICINE (2022)

Add to Collection

Article Immunology

Integrated multi-omics analysis identifies CD73 as a prognostic biomarker and immunotherapy response predictor in head and neck squamous cell carcinoma

Ao Shen, Yafen Ye, Fan Chen, Yunyun Xu, Zhen Zhang, Qi Zhao, Zhao-lei Zeng

Summary: The study showed that high expression of CD73 in HNSCC is associated with poor prognosis and aggressive tumor behavior, indicating a potential role of CD73 in tumor progression and immune evasion. Targeting CD73 may provide new therapeutic strategies for HNSCC treatment.

FRONTIERS IN IMMUNOLOGY (2022)

Add to Collection

Article Biochemical Research Methods

GPA-Tree: statistical approach for functional-annotation-tree-guided prioritization of GWAS results

Aastha Khatiwada, Bethany J. Wolf, Ayse Selen Yilmaz, Paula S. Ramos, Maciej Pietrzak, Andrew Lawson, Kelly J. Hunt, Hang J. Kim, Dongjun Chung

Summary: This study proposes a method called GPA-Tree, which improves association mapping and enhances understanding of the underlying genetic architecture and mechanisms of complex traits. Through simulation and application to GWAS data on a specific disease (SLE), the study demonstrates the superiority of GPA-Tree in detecting risk-associated SNPs and identifying true combinations of functional annotations.

BIOINFORMATICS (2022)

Add to Collection

Article Oncology

Treatment with soluble CD24 attenuates COVID-19-associated systemic immunopathology

No-Joon Song, Carter Allen, Anna E. Vilgelm, Brian P. Riesenberg, Kevin P. Weller, Kelsi Reynolds, Karthik B. Chakravarthy, Amrendra Kumar, Aastha Khatiwada, Zequn Sun, Anjun Ma, Yuzhou Chang, Mohamed Yusuf, Anqi Li, Cong Zeng, John P. Evans, Donna Bucci, Manuja Gunasena, Menglin Xu, Namal P. M. Liyanage, Chelsea Bolyard, Maria Velegraki, Shan-Lu Liu, Qin Ma, Martin Devenport, Yang Liu, Pan Zheng, Carlos D. Malvestutto, Dongjun Chung, Zihai Li

Summary: CD24Fc rapidly reduces systemic inflammation and restores immune homeostasis in SARS-CoV-2-infected individuals, supporting further development of CD24Fc as a novel therapeutic against severe COVID-19.

JOURNAL OF HEMATOLOGY & ONCOLOGY (2022)

Add to Collection

Article Biology

A Bayesian multivariate mixture model for high throughput spatial transcriptomics

Carter Allen, Yuzhou Chang, Brian Neelon, Won Chang, Hang J. Kim, Zihai Li, Qin Ma, Dongjun Chung

Summary: High throughput spatial transcriptomics (HST) is a rapidly emerging experimental technology that allows for analyzing gene expression in tissue samples at or near single-cell resolution. We developed SPRUCE, a Bayesian spatial multivariate finite mixture model, to identify distinct cellular sub-populations in HST data.

BIOMETRICS (2023)

Add to Collection

Article Oncology

Selective targeting of GARP-LTGFβ axis in the tumor microenvironment augments PD-1 blockade via enhancing CD8+ T cell antitumor immunity

Anqi Li, Yuzhou Chang, No-Joon Song, Xingjun Wu, Dongjun Chung, Brian P. Riesenberg, Maria Velegraki, Giuseppe D. Giuliani, Komal Das, Tamio Okimoto, Hyunwoo Kwon, Karthik B. Chakravarthy, Chelsea Bolyard, Yi Wang, Kai He, Margaret Gatti-Mays, Jayajit Das, Yiping Yang, Daniel T. Gewirth, Qin Ma, David Carbone, Zihai Li

Summary: This study highlights the potential of GARP as a target for cancer immunotherapy, showing that blocking GARP with the anti-human GARP antibody PIIO-1 can enhance CD8(+) T cell trafficking and functionality in the tumor microenvironment, thus overcoming primary resistance to anti-PD-1 ICB. The findings suggest that PIIO-1 could be a promising novel immunotherapeutic approach for cancer treatment.

JOURNAL FOR IMMUNOTHERAPY OF CANCER (2022)

Add to Collection

Review Biochemistry & Molecular Biology

Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives

Hyeongseon Jeon, Juan Xie, Yeseul Jeon, Kyeong Joo Jung, Arkobrato Gupta, Won Chang, Dongjun Chung

Summary: In this paper, power analysis for three types of gene expression profiling technologies, bulk RNA-seq, single-cell RNA-seq, and high-throughput spatial transcriptomics, is reviewed and discussed from a practical standpoint. Existing power analysis tools and recommendations are described for bulk RNA-seq and scRNA-seq experiments. Factors influencing power analysis are investigated for high-throughput spatial transcriptomics, as there are currently no power analysis tools available.

BIOMOLECULES (2023)

Add to Collection

Article Oncology

Novel high-risk acute myeloid leukemia subgroup with ERG amplification and Biallelic loss of TP53

Cynthia A. Schandla, Sandra Mazzoni, Iya Znoykoa, Georges J. Nahhasc, Dongjun Chung, Yanna Dinga, Brian Hessd, Daynna J. Wolff

Summary: ETS-related gene (ERG) amplification is associated with unfavorable prognosis in acute myeloid leukemia (AML). ERGamp cases show a distinct pattern of high genetic complexity, including loss of 5q, chromothripsis, and TP53 loss of function variants. Patients with ERGamp and TP53 loss of function are resistant to standard induction chemotherapy and have a very poor prognosis.

CANCER GENETICS (2023)

Add to Collection

Article Medicine, Research & Experimental

Selective suppression of de novo SARS-CoV-2 vaccine antibody responses in patients with cancer on B cell-targeted therapy

Joseph H. Azar, John P. Evans, Madison H. Sikorski, Karthik B. Chakravarthy, Selah McKenney, Ian Carmody, Cong Zeng, Rachael Teodorescu, No-Joon Song, Jamie L. Hamon, Donna Bucci, Maria Velegraki, Chelsea Bolyard, Kevin P. Weller, Sarah A. Reisinger, Seema A. Bhat, Kami J. Maddocks, Nathan Denlinger, Narendranath Epperla, Richard J. Gumina, Anastasia N. Vlasova, Eugene M. Oltz, Linda J. Saif, Dongjun Chung, Jennifer A. Woyach, Peter G. Shields, Shan-Lu Liu, Zihai Li, Mark P. Rubinstein

Summary: In this study, we evaluated the antibody responses induced by the SARS-CoV-2 ancestral virus and Omicron variant vaccines in 57 patients with B cell malignancies, both before and after booster immunization. We found that a significant proportion of vaccinated patients were seronegative before the booster, especially those receiving active cancer therapies. Booster immunization was able to induce detectable antibodies in some seronegative patients, but the overall benefit was more noticeable in patients who were already seropositive and not receiving active therapy. We also observed that while the antibody levels against the ancestral virus and Omicron variant were generally concordant among individual patients, neutralizing antibodies against Omicron tended to be reduced. Interestingly, we found comparable levels of Epstein-Barr virus (EBV)- and influenza-reactive antibodies in all patients, including those unable to generate detectable antibodies against SARS-CoV-2 spike, suggesting that B cell-targeting therapies primarily impair de novo antibody production rather than preexisting antibody levels.

JCI INSIGHT (2023)

Add to Collection

Article Mathematical & Computational Biology

A Bayesian framework for pathway-guided identification of cancer subgroups by integrating multiple types of genomic data

Zequn Sun, Dongjun Chung, Brian Neelon, Andrew Millar-Wilson, Stephen P. Ethier, Feifei Xiao, Yinan Zheng, Kristin Wallace, Gary Hardiman

Summary: This article proposes a pathway-guided Bayesian sparse latent factor model for the simultaneous identification of cancer patient subgroups and key molecular features. By utilizing pathway information, this model enhances the accuracy and robustness of cancer patient subgroup and key molecular feature identification, and also promotes biological understanding and interpretation. An alternative Gibbs sampler for logistic and negative binomial models is proposed to facilitate efficient posterior sampling.

STATISTICS IN MEDICINE (2023)

Add to Collection

Article Biochemical Research Methods

LRT: Integrative analysis of scRNA-seq and scTCR-seq data to investigate clonal differentiation heterogeneity

Juan Xie, Hyeongseon Jeon, Gang Xin, Qin Ma, Dongjun Chung

Summary: We developed a computational framework called LRT for the integrative analysis of scRNA-seq and scTCR-seq data to explore clonal differentiation trajectory heterogeneity. LRT uses transcriptomics and TCR sequence information to identify clonotype clusters with distinct differentiation biasedness. This framework provides a comprehensive analysis workflow for cell trajectory inference, clonotype clustering, trajectory biasedness evaluation, and clonotype cluster characterization.

PLOS COMPUTATIONAL BIOLOGY (2023)

Add to Collection

Article Substance Abuse

Long-Term Impact of Daily E-cigarette Exposure on the Lungs of Asthmatic Mice

Min-Ae Song, Loren E. Wold, David M. Aslaner, Kellie J. Archer, Devki Patel, Hyeongseon Jeon, Dongjun Chung, Peter G. Shields, John W. Christman, Sangwoon Chung

Summary: This study found that the long-term effects of electronic cigarettes (EC) differ between asthmatic and non-asthmatic mice. EC exposure may exacerbate asthma symptoms and increase lung inflammation in asthmatic mice, while it enhances immune response in non-asthmatic mice. These findings highlight the potential risks of EC use in asthmatics.

NICOTINE & TOBACCO RESEARCH (2023)

Add to Collection

Meeting Abstract Oncology

SELECTIVE TARGETING OF GARP-LTGFß AXIS IN THE TUMOR MICROENVIRONMENT AUGMENTS PD-1 BLOCKADE VIA ENHANCING CD8+ T CELL ANTI-TUMOR IMMUNITY

Anqi Li, Yuzhou Chang, No-Joon Song, Xingjun Wu, Dongjun Chung, Brian Riesenberg, Maria Velegraki, Hyunwoo Kwon, Karthik Chakravarthy, Chelsea Bolyard, Yi Wang, Qin Ma, Zihai Li

JOURNAL FOR IMMUNOTHERAPY OF CANCER (2022)

Add to Collection

Article Cell Biology

NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health

Patty J. Lee, Christopher C. Benz, Philip Blood, Katy Boerner, Judith Campisi, Feng Chen, Heike Daldrup-Link, Phil De Jager, Li Ding, Francesca E. Duncan, Oliver Eickelberg, Rong Fan, Toren Finkel, David Furman, Vesna Garovic, Nils Gehlenborg, Carolyn Glass, Indra Heckenbach, Ziv-Bar Joseph, Pragati Katiyar, So-Jin Kim, Melanie Koenigshoff, George A. Kuchel, Haesung Lee, Jun Hee Lee, Jian Ma, Qin Ma, Simon Melov, Kay Metis, Ana L. Mora, Nicolas Musi, Nicola Neretti, Joao F. Passos, Irfan Rahman, Juan Carlos Rivera-Mulia, Paul Robson, Mauricio Rojas, Ananda L. Roy, Morten Scheibye-Knudsen, Birgit Schilling, Pixu Shi, Jonathan C. Silverstein, Vidyani Suryadevara, Jichun Xie, Jinhua Wang, A. Ian Wong, Laura J. Niedernhofer, Siyuan (Steven) Wang, Hannah Anvari, Julia Balough, Christopher Benz, Joanna Bons, Boris Brenerman, William Evans, Akos Gerencser, Heather Gregory, Malene Hansen, Jamie Justice, Pankaj Kapahi, Natalia Murad, Amy O'Broin, Mary Ellen Pavone, Mark Powell, Gary Scott, Elisheva Shanes, Mahalakshmi Shankaran, Eric Verdin, Daniel Winer, Fei Wu, Andrew Adams, Philip D. Blood, Andreas Bueckle, Ivan Cao-Berg, Hao Chen, Michael Davis, Shane Filus, Yuhan Hao, Austin Hartman, Euxhen Hasanaj, Jesse Helfer, Bruce Herr, Ziv Bar Joseph, Gesmira Molla, Gloria Mou, Juan Puerto, Ellen M. Quardokus, Alexander J. Ropelewski, Matt Ruffalo, Rahul Satija, Melissa Schwenk, Robin Scibek, William Shirey, Max Sibilla, Joel Welling, Zhou Yuan, Richard Bonneau, Angela Christiano, Benjamin Izar, Vilas Menon, David M. Owens, Hemali Phatnani, Colin Smith, Yousin Suh, Andrew F. Teich, Valerie Bekker, Cliburn Chan, Elias Coutavas, Matthew G. Hartwig, Zhicheng Ji, Andrew B. Nixon, Zhixun Dou, Jayaraj Rajagopal, Nikolai Slavov, David Holmes, Diana Jurk, James L. Kirkland, Anthony Lagnado, Tamara Tchkonia, Kristin Abraham, Amanda Dibattista, Yih-Woei Fridell, T. Kevin Howcroft, Chamelli Jhappan, Viviana Perez Montes, Mercy Prabhudas, Haluk Resat, Veronica Taylor, Manoj Kumar, Francisco Cigarroa, Rachel Cohn, Tiffany M. Cortes, Elise Courtois, Jeffrey Chuang, Monica Dave, Sergii Domanskyi, Elizabeth Ann Lieser Enninga, Giray Naim Eryilmaz, Sara E. Espinoza, Jon Gelfond, James Kirkland, Chia-Ling Kuo, Julia S. Lehman, Cristina Aguayo-Mazzucato, Alexander Meves, Meenakshi Rani, Shane Sanders, Asa Thibodeau, Stefan G. Tullius, Duygu Ucar, Brian White, Qian Wu, Ming Xu, Seiji Yamaguchi, Naziheh Assarzadegan, Chun-Seok Cho, Irene Hwang, Yongha Hwang, Jingyue Xi, Oyedele A. Adeyi, Constantin F. Aliferis, Alessandro Bartolomucci, Xiao Dong, Mickayla J. DuFresne-To, Sayeed Ikramuddin, Steve G. Johnson, Andrew C. Nelson, Xavier S. Revelo, Claudia Trevilla-Garcia, John M. Sedivy, Elizabeth L. Thompson, Paul D. Robbins, Jinhua Wang, Katherine M. Aird, Jonathan K. Alder, Delphine Beaulieu, Marta Bueno, Jazmin Calyeca, Julian A. Chamucero-Millaris, Stephen Y. Chan, Dongjun Chung, Anthony Corbett, Vera Gorbunova, Kymberly M. Gowdy, Aditi Gurkar, Jeffrey C. Horowitz, Qianjiang Hu, Gagandeep Kaur, Timur O. Khaliullin, Robert Lafyatis, Serafina Lanna, Dongmei Li, Anjun Ma, Alison Morris, Thivanka M. Muthumalage, Victor Peters, Gloria S. Pryhuber, Brenda F. Reader, Lorena Rosas, John C. Sembrat, Sadiya Shaikh, Hangchuan Shi, Sean D. Stacey, Claudette St Croix, Cankun Wang, Qixin Wang, Andrew Watts, Liangcai Gu, Yiing Lin, Peter S. Rabinovitch, Mariya T. Sweetwyne, Maxim N. Artyomov, Samuel J. Ballentine, Milan G. Chheda, Sherri R. Davies, John F. DiPersio, Ryan C. Fields, James A. J. Fitzpatrick, Robert S. Fulton, Shin-ichiro Imai, Sanjay Jain, Tao Ju, Vladimir M. Kushnir, Daniel C. Link, Michael Ben Major, Stephen T. Oh, Daniel Rapp, Michael P. Rettig, Shelia A. Stewart, Deborah J. Veis, Kiran R. Vij, Michael C. Wendl, Matthew A. Wyczalkowski, Joseph E. Craft, Archibald Enninful, Negin Farzad, Peter Gershkovich, Stephanie Halene, Yuval Kluger, Jennifer VanOudenhove, Mina Xu, Junchen Yang, Mingyu Yang

Summary: Cells respond to stress by undergoing senescence, and the heterogeneity of senescent cells and their secretory phenotype need further characterization. The Cellular Senescence Network (SenNet) was established to create a map of senescent cells across the human lifespan and improve diagnostic and therapeutic approaches.

NATURE AGING (2022)

Add to Collection

Meeting Abstract Immunology

Migratory type 2 dendritic cells mediate mucosal Th17 response to gut commensal bacteria

Soo M. Ngoi, Yi Yang, Stephen Iwanowycz, Jennifer Gutierrez, Megan Hill, Carter Allen, Dongjun Chung, Bei Liu

JOURNAL OF IMMUNOLOGY (2022)

Add to Collection

Article Biochemistry & Molecular Biology

Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning

Yuzhou Chang, Fei He, Juexin Wang, Shuo Chen, Jingyi Li, Jixin Liu, Yang Yu, Li Su, Anjun Ma, Carter Allen, Yu Lin, Shaoli Sun, Bingqiang Liu, Jose Javier Otero, Dongjun Chung, Hongjun Fu, Zihai Li, Dong Xu, Qin Ma

Summary: RESEPT is a deep-learning framework for characterizing and visualizing tissue architecture from spatially resolved transcriptomics, accurately inferring and visualizing tissue architecture, aiding in the identification of amyloid-beta plaques in Alzheimer's disease, and distinguishing tumor-enriched regions in glioblastoma samples.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2022)

Add to Collection

Meeting Abstract Oncology

Upregulation of bacterial and fungal pathogen sensing genes in preinvasive colorectal lesions in African Americans compared to Caucasian Americans

Silvia Guglietta, Lauren R. Fanning, Alexandria G. Cousart, Kent E. Armeson, Zequn Sun, David N. Lewin, J. Grant Brazeal, Dongjun Chung, Alexander V. Alekseyenko, Kristin Wallace

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2022)

Add to Collection

No Data Available

© Peeref 2019-2024. All rights reserved.