YAP/TAZ Signaling and Resistance to Cancer Therapy DOI

Chan D.K. Nguyen,

Chunling Yi

Trends in cancer, Год журнала: 2019, Номер 5(5), С. 283 - 296

Опубликована: Март 27, 2019

Язык: Английский

Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade DOI Creative Commons
Pornpimol Charoentong, Francesca Finotello, Mihaela Angelova

и другие.

Cell Reports, Год журнала: 2017, Номер 18(1), С. 248 - 262

Опубликована: Янв. 1, 2017

The Cancer Genome Atlas revealed the genomic landscapes of human cancers. In parallel, immunotherapy is transforming treatment advanced Unfortunately, majority patients do not respond to immunotherapy, making identification predictive markers and mechanisms resistance an area intense research. To increase our understanding tumor-immune cell interactions, we characterized intratumoral immune cancer antigenomes from 20 solid cancers created Immunome (https://tcia.at/). Cellular characterization infiltrates showed that tumor genotypes determine immunophenotypes escape mechanisms. Using machine learning, identified determinants immunogenicity developed a scoring scheme for quantification termed immunophenoscore. immunophenoscore was superior predictor response anti-cytotoxic T lymphocyte antigen-4 (CTLA-4) anti-programmed death protein 1 (anti-PD-1) antibodies in two independent validation cohorts. Our findings this resource may help inform facilitate development precision immuno-oncology.

Язык: Английский

Процитировано

3687

The immune contexture in cancer prognosis and treatment DOI
Wolf H. Fridman, Laurence Zitvogel, Catheriné Sautès-Fridman

и другие.

Nature Reviews Clinical Oncology, Год журнала: 2017, Номер 14(12), С. 717 - 734

Опубликована: Июль 25, 2017

Язык: Английский

Процитировано

1882

Regulation and Function of the PD-L1 Checkpoint DOI Creative Commons
Chong Sun, Riccardo Mezzadra, Ton N. Schumacher

и другие.

Immunity, Год журнала: 2018, Номер 48(3), С. 434 - 452

Опубликована: Март 1, 2018

Язык: Английский

Процитировано

1819

Lung cancer DOI
Alesha Thai, Benjamin Solomon, Lecia V. Sequist

и другие.

The Lancet, Год журнала: 2021, Номер 398(10299), С. 535 - 554

Опубликована: Июль 21, 2021

Язык: Английский

Процитировано

1654

Tumour-intrinsic resistance to immune checkpoint blockade DOI
Anusha Kalbasi, Antoni Ribas

Nature reviews. Immunology, Год журнала: 2019, Номер 20(1), С. 25 - 39

Опубликована: Сен. 30, 2019

Язык: Английский

Процитировано

1177

Mechanisms of resistance to immune checkpoint inhibitors DOI Creative Commons
Russell W. Jenkins, David A. Barbie, Keith T. Flaherty

и другие.

British Journal of Cancer, Год журнала: 2018, Номер 118(1), С. 9 - 16

Опубликована: Янв. 1, 2018

Immune checkpoint inhibitors (ICI) targeting CTLA-4 and the PD-1/PD-L1 axis have shown unprecedented clinical activity in several types of cancer are rapidly transforming practice medical oncology. Whereas cytotoxic chemotherapy small molecule ('targeted therapies') largely act on cells directly, immune reinvigorate anti-tumour responses by disrupting co-inhibitory T-cell signalling. While resistance routinely develops patients treated with conventional therapies targeted therapies, durable suggestive long-lasting immunologic memory commonly seen large subsets ICI. However, initial response appears to be a binary event, most non-responders single-agent ICI therapy progressing at rate consistent natural history disease. In addition, late relapses now emerging longer follow-up trial populations, suggesting emergence acquired resistance. As robust biomarkers predict and/or remain elusive, mechanisms underlying innate (primary) (secondary) inferred from pre-clinical studies correlative data. Improved understanding molecular (and resistance) may not only identify novel predictive prognostic biomarkers, but also ultimately guide optimal combination/sequencing clinic. Here we review data identifying inhibition.

Язык: Английский

Процитировано

1142

Immune checkpoint blockade therapy for cancer: An overview of FDA-approved immune checkpoint inhibitors DOI
Kristian M. Hargadon,

Coleman E. Johnson,

Corey J. Williams

и другие.

International Immunopharmacology, Год журнала: 2018, Номер 62, С. 29 - 39

Опубликована: Июль 2, 2018

Язык: Английский

Процитировано

1050

Generation of Tumor-Reactive T Cells by Co-culture of Peripheral Blood Lymphocytes and Tumor Organoids DOI Creative Commons
Krijn K. Dijkstra, Chiara M. Cattaneo, Fleur Weeber

и другие.

Cell, Год журнала: 2018, Номер 174(6), С. 1586 - 1598.e12

Опубликована: Авг. 9, 2018

Язык: Английский

Процитировано

829

Targeting autophagy in cancer DOI Open Access

Angelique Onorati,

Matheus Dyczynski, Rani Ojha

и другие.

Cancer, Год журнала: 2018, Номер 124(16), С. 3307 - 3318

Опубликована: Апрель 19, 2018

Autophagy is a conserved, self-degradation system that critical for maintaining cellular homeostasis during stress conditions. Dysregulated autophagy has implications in health and disease. Specifically, cancer, plays dichotomous role by inhibiting tumor initiation but supporting progression. Early results from clinical trials repurposed hydroxychloroquine cancer have suggested inhibition may be promising approach advanced cancers. In this review of the literature, authors present fundamental advances biology autophagy, approaches to targeting preclinical rationale experience with trials, potential immunity, recent developments next-generation inhibitors potential. target drug development cancer. Cancer 2018. © 2018 American Society.

Язык: Английский

Процитировано

785

Genetics and biology of prostate cancer DOI Open Access
Guocan Wang, Di Zhao, Denise J. Spring

и другие.

Genes & Development, Год журнала: 2018, Номер 32(17-18), С. 1105 - 1140

Опубликована: Сен. 1, 2018

Despite the high long-term survival in localized prostate cancer, metastatic cancer remains largely incurable even after intensive multimodal therapy. The lethality of advanced disease is driven by lack therapeutic regimens capable generating durable responses setting extreme tumor heterogeneity on genetic and cell biological levels. Here, we review available model systems, genome atlas, cellular functional microenvironment, tumor-intrinsic tumor-extrinsic mechanisms underlying resistance, technological advances focused detection management. These advances, along with an improved understanding adaptive to conventional therapies, anti-androgen therapy, immunotherapy, are catalyzing development more effective strategies for disease. In particular, knowledge heterotypic interactions between coevolution host cells microenvironment has illuminated novel combinations a strong potential eventual cures Improved management will also benefit from artificial intelligence-based expert decision support systems proper standard care, prognostic determinant biomarkers minimize overtreatment disease, new standards care accelerated next-generation clinical trials.

Язык: Английский

Процитировано

634