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Usage Information

Targeting apoptotic pathways for cancer therapy
Xiaobing Tian, … , Dinara Ryspayeva, Wafik S. El-Deiry
Xiaobing Tian, … , Dinara Ryspayeva, Wafik S. El-Deiry
Published July 15, 2024
Citation Information: J Clin Invest. 2024;134(14):e179570. https://doi.org/10.1172/JCI179570.
View: Text | PDF
Review

Targeting apoptotic pathways for cancer therapy

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Abstract

Apoptosis is a form of programmed cell death that is mediated by intrinsic and extrinsic pathways. Dysregulation of and resistance to cell death are hallmarks of cancer. For over three decades, the development of therapies to promote treatment of cancer by inducing various cell death modalities, including apoptosis, has been a main goal of clinical oncology. Apoptosis pathways also interact with other signaling mechanisms, such as the p53 signaling pathway and the integrated stress response (ISR) pathway. In addition to agents directly targeting the intrinsic and extrinsic pathway components, anticancer drugs that target the p53 and ISR signaling pathways are actively being developed. In this Review, we discuss selected and promising anticancer therapies in various stages of development, including drug targets, mechanisms, and resistance to related treatments, focusing especially on B cell lymphoma 2 (BCL-2) inhibitors, TRAIL analogues, DR5 antibodies, and strategies that target p53, mutant p53, and the ISR.

Authors

Xiaobing Tian, Praveen R. Srinivasan, Vida Tajiknia, Ashley F. Sanchez Sevilla Uruchurtu, Attila A. Seyhan, Benedito A. Carneiro, Arielle De La Cruz, Maximilian Pinho-Schwermann, Andrew George, Shuai Zhao, Jillian Strandberg, Francesca Di Cristofano, Shengliang Zhang, Lanlan Zhou, Alexander G. Raufi, Arunasalam Navaraj, Yiqun Zhang, Nataliia Verovkina, Maryam Ghandali, Dinara Ryspayeva, Wafik S. El-Deiry

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Usage data is cumulative from July 2024 through May 2025.

Usage JCI PMC
Text version 7,505 1,131
PDF 1,368 237
Figure 1,618 24
Table 298 0
Citation downloads 229 0
Totals 11,018 1,392
Total Views 12,410

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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