Results 171 to 180 of about 199,597 (317)

Interferon beta drives therapy resistance in a patient‐derived model of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Interferon type 1 (IFN‐1) production and signaling is associated with the acquisition of therapy resistance, following chronic DNA damage, via Interferon‐related DNA damage resistance signature (IRDS) gene expression. An alternative, DNA damage‐independent role of sustained IFN‐1 mediated resistance was identified and characterized by the emergence of ...
Ashlyn Conant, Tise Suzuki, Kiera McGivney, V. S. S. Abhinav Ayyadevara, Sharon Asariah, Jay Deng, Ethan Nyein, Jacqueline Coats, Gary Yu, Yevgeniya J. Ioffe, Christian Hurtz, Juli J. Unternaehrer   +11 more
wiley   +1 more source

Improved tumor-only variant calling and mutation burden estimation with VarNet-T. [PDF]

Nat Commun
Krishnamachari K, Bui Nguyen HA, Kadioglu S, Ong Tze J, Jacobsen Skanderup A.   +4 more
europepmc   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

vcf_stats.py — Summary statistics and tumor mutation burden from VCF

B, Britt
openalex   +1 more source

Association of tumour mutational burden with outcomes in patients with advanced solid tumours treated with pembrolizumab: prospective biomarker analysis of the multicohort, open-label, phase 2 KEYNOTE-158 study

, 2020
Aurélien Marabelle, Marwan Fakih, Juanita Lopez, Manisha H. Shah, Ronnie Shapira‐Frommer, Kazuhiko Nakagawa, Hyun Cheol Chung, Hedy L. Kindler, José A. López-Martín, Wilson H. Miller, Antoîne Italiano, Steven Kao, Sarina A. Piha‐Paul, Jean‐Pierre Delord, Robert R. McWilliams, David Fabrizio, Deepti Aurora-Garg, Lei Xu, Fan Jin, Kevin Norwood, Yung‐Jue Bang   +20 more
openalex   +2 more sources

Gemogenovatucel-T Advantage in Clonal Tumor Mutation Burden-High Ovarian Cancer. [PDF]

JCO Precis Oncol
Coleman RL, Rocconi R, Monk BJ, Walter A, Stanbery L, Willoughby D, Nagel C, Wei Q, Wallraven G, Horvath S, Tang M, Rao D, Bognar E, Nemunaitis J.   +13 more
europepmc   +1 more source

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Additional file 1 of Molecular subtyping based on RYR2 correlates prognosis and tumor mutation burden in lung squamous cell carcinoma patients

Prithvi Singh, Asifa Khan, Mohammad Masood, Shivani Tyagi, Nitesh Shriwash, Bhupender Kumar, Pramod Katara, Mohammad Mahfuzul Haque, Ravins Dohare   +8 more
openalex   +1 more source

Supplementary Figure S4 from Durvalumab ± Tremelimumab + Platinum-Etoposide in Extensive-Stage Small Cell Lung Cancer (CASPIAN): Outcomes by PD-L1 Expression and Tissue Tumor Mutational Burden [PDF]

Luis Paz‐Ares, Marina Chiara Garassino, Yuanbin Chen, Niels Reinmuth, Katsuyuki Hotta, Artem Poltoratskiy, Dmytro Trukhin, Maximilian J. Hochmair, Mustafa Özgüroğlu, Jun Ho Ji, Galina Statsenko, Nikolay Conev, Igor Bondarenko, Libor Havel, György Losonczy, Mingchao Xie, Zhongwu Lai, Nadia Godin-Heymann, Helen Mann, Haiyi Jiang, Yashaswi Shrestha, Jonathan W. Goldman   +21 more
openalex   +1 more source

Machine learning-based models for tumor mutation burden prediction in gastrointestinal cancers: a systematic review and meta-analysis. [PDF]

Discov Oncol
Rahimi P, Atighi F, Rezaei B, Rezaee H, Abdelbaset M, Nazari F, Zarrehparvar Ghouchani Nezhad S, Moradi Kashkoli M, Ghaffarzadeh A, Taghavi F, Goudarzi P, Samavarchitehrani A, Marashi A, Esmaeili Y, Zhian Zargaran F, Shirdel A, Asadi Anar M, Mousavi S.   +17 more
europepmc   +1 more source