scholarly journals Quantifying Temporal Trends and the Impact of Advances in Radiation Planning on Heart and Lung Dose for Lung Cancer Treatment Using a Machine Learning Model

Author(s):  
D.S. Bitterman ◽  
K.M. Atkins ◽  
P. Selesnick ◽  
C. Carpenter ◽  
R.A. Cormack ◽  
...  
2019 ◽  
Vol 20 (19) ◽  
pp. 4931 ◽  
Author(s):  
Andrea Bianco ◽  
Fabio Perrotta ◽  
Giusi Barra ◽  
Umberto Malapelle ◽  
Danilo Rocco ◽  
...  

Manipulation of the immune response is a game changer in lung cancer treatment, revolutionizing management. PD1 and CTLA4 are dynamically expressed on different T cell subsets that can either disrupt or sustain tumor growth. Monoclonal antibodies (MoAbs) against PD1/PDL1 and CTLA4 have shown that inhibitory signals can be impaired, blocking T cell activation and function. MoAbs, used as both single-agents or in combination with standard therapy for the treatment of advanced non-small cell lung cancer (NSCLC), have exhibited advantages in terms of overall survival and response rate; nivolumab, pembrolizumab, atezolizumab and more recently, durvalumab, have already been approved for lung cancer treatment and more compounds are in the pipeline. A better understanding of signaling elicited by these antibodies on T cell subsets, as well as identification of biological determinants of sensitivity, resistance and correlates of efficacy, will help to define the mechanisms of antitumor responses. In addition, the relevance of T regulatory cells (Treg) involved in immune responses in cancer is attracting increasing interest. A major challenge for future research is to understand why a durable response to immune checkpoint inhibitors (ICIs) occurs only in subsets of patients and the mechanisms of resistance after an initial response. This review will explore current understanding and future direction of research on ICI treatment in lung cancer and the impact of tumor immune microenvironment n influencing clinical responses.


Nature Energy ◽  
2020 ◽  
Vol 5 (12) ◽  
pp. 1051-1052
Author(s):  
Shiqi Ou ◽  
Xin He ◽  
Weiqi Ji ◽  
Wei Chen ◽  
Lang Sui ◽  
...  

2007 ◽  
Vol 34 (4) ◽  
pp. 1462-1473 ◽  
Author(s):  
Mihaela Rosu ◽  
Indrin J. Chetty ◽  
Daniel S. Tatro ◽  
Randall K. Ten Haken

Nature Energy ◽  
2020 ◽  
Vol 5 (9) ◽  
pp. 666-673 ◽  
Author(s):  
Shiqi Ou ◽  
Xin He ◽  
Weiqi Ji ◽  
Wei Chen ◽  
Lang Sui ◽  
...  

2017 ◽  
Vol 55 (1) ◽  
pp. 45-50 ◽  
Author(s):  
Taisuke Tsuji ◽  
Kazunari Tsuyuguchi ◽  
Kazunobu Tachibana ◽  
Yohei Kimura ◽  
Takehiko Kobayashi ◽  
...  

2006 ◽  
Vol 24 (11) ◽  
pp. 1761-1769 ◽  
Author(s):  
Ping Yang ◽  
Jon O. Ebbert ◽  
Zhifu Sun ◽  
Richard M. Weinshilboum

Inherent and acquired drug resistance is a cause of chemotherapy failure, and pharmacogenomic studies have begun to define gene variations responsible for varied drug metabolism, which influences drug efficacy. Platinum-based compounds are the most commonly used chemotherapeutic agents in the treatment of advanced stage lung cancer patients, and the glutathione metabolic pathway is directly involved in the detoxification or inactivation of platinum drugs. Consequently, genotypes corresponding to higher drug inactivation enzyme activity may predict poor treatment outcome. Available evidence is consistent with this hypothesis, although a definitive role for glutathione system genes in lung cancer prognosis needs to be elucidated. We present evidence supporting a role of the glutathione system in acquired and inherited drug resistance and/or adverse effects through the impact of either drug detoxification or drug inactivation, thus adversely effecting lung cancer treatment outcome. The potential application of glutathione system polymorphic genetic markers in identifying patients who may respond favorably, selecting effective antitumor drugs, and balancing drug efficacy and toxicity are discussed.


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