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International evaluation of an AI system for breast cancer screening 期刊论文
NATURE, 2020, 577 (7788) : 89-+
作者:  McKinney, Scott Mayer;  Sieniek, Marcin;  Godbole, Varun;  Godwin, Jonathan;  Antropova, Natasha;  Ashrafian, Hutan;  Back, Trevor;  Chesus, Mary;  Corrado, Greg C.;  Darzi, Ara;  Etemadi, Mozziyar;  Garcia-Vicente, Florencia;  Gilbert, Fiona J.;  Halling-Brown, Mark;  Hassabis, Demis;  Jansen, Sunny;  Karthikesalingam, Alan;  Kelly, Christopher J.;  King, Dominic;  Ledsam, Joseph R.;  Melnick, David;  Mostofi, Hormuz;  Peng, Lily;  Reicher, Joshua Jay;  Romera-Paredes, Bernardino;  Sidebottom, Richard;  Suleyman, Mustafa;  Tse, Daniel;  Young, Kenneth C.;  De Fauw, Jeffrey;  Shetty, Shravya
收藏  |  浏览/下载:63/0  |  提交时间:2020/07/03

Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatment can be more successful(1). Despite the existence of screening programmes worldwide, the interpretation of mammograms is affected by high rates of false positives and false negatives(2). Here we present an artificial intelligence (AI) system that is capable of surpassing human experts in breast cancer prediction. To assess its performance in the clinical setting, we curated a large representative dataset from the UK and a large enriched dataset from the USA. We show an absolute reduction of 5.7% and 1.2% (USA and UK) in false positives and 9.4% and 2.7% in false negatives. We provide evidence of the ability of the system to generalize from the UK to the USA. In an independent study of six radiologists, the AI system outperformed all of the human readers: the area under the receiver operating characteristic curve (AUC-ROC) for the AI system was greater than the AUC-ROC for the average radiologist by an absolute margin of 11.5%. We ran a simulation in which the AI system participated in the double-reading process that is used in the UK, and found that the AI system maintained non-inferior performance and reduced the workload of the second reader by 88%. This robust assessment of the AI system paves the way for clinical trials to improve the accuracy and efficiency of breast cancer screening.


  
Rapid non-uniform adaptation to conformation-specific KRAS(G12C) inhibition 期刊论文
NATURE, 2020, 577 (7790) : 421-+
作者:  Xue, Jenny Y.;  Zhao, Yulei;  Aronowitz, Jordan;  Mai, Trang T.;  Vides, Alberto;  Qeriqi, Besnik;  Kim, Dongsung;  Li, Chuanchuan;  de Stanchina, Elisa;  Mazutis, Linas;  Risso, Davide;  Lito, Piro
收藏  |  浏览/下载:29/0  |  提交时间:2020/07/03

KRAS GTPases are activated in one-third of cancers, and KRAS(G12C) is one of the most common activating alterations in lung adenocarcinoma(1,2). KRAS(G12C) inhibitors(3,4) are in phase-I clinical trials and early data show partial responses in nearly half of patients with lung cancer. How cancer cells bypass inhibition to prevent maximal response to therapy is not understood. Because KRAS(G12C) cycles between an active and inactive conformation(4-6), and the inhibitors bind only to the latter, we tested whether isogenic cell populations respond in a non-uniform manner by studying the effect of treatment at a single-cell resolution. Here we report that, shortly after treatment, some cancer cells are sequestered in a quiescent state with low KRAS activity, whereas others bypass this effect to resume proliferation. This rapid divergent response occurs because some quiescent cells produce new KRAS(G12C) in response to suppressed mitogen-activated protein kinase output. New KRAS(G12C) is maintained in its active, drug-insensitive state by epidermal growth factor receptor and aurora kinase signalling. Cells without these adaptive changes-or cells in which these changes are pharmacologically inhibited-remain sensitive to drug treatment, because new KRAS(G12C) is either not available or exists in its inactive, drug-sensitive state. The direct targeting of KRAS oncoproteins has been a longstanding objective in precision oncology. Our study uncovers a flexible non-uniform fitness mechanism that enables groups of cells within a population to rapidly bypass the effect of treatment. This adaptive process must be overcome if we are to achieve complete and durable responses in the clinic.


  
Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I 期刊论文
NATURE, 2020, 581 (7806) : 100-+
作者:  Waszak, Sebastian M.;  Robinson, Giles W.;  Gudenas, Brian L.;  Smith, Kyle S.;  Forget, Antoine;  Kojic, Marija;  Garcia-Lopez, Jesus;  Hadley, Jennifer;  Hamilton, Kayla V.;  Indersie, Emilie;  Buchhalter, Ivo;  Kerssemakers, Jules;  Jager, Natalie;  Sharma, Tanvi;  Rausch, Tobias;  Kool, Marcel;  Sturm, Dominik;  Jones, David T. W.;  Vasilyeva, Aksana;  Tatevossian, Ruth G.;  Neale, Geoffrey;  Lombard, Berangere;  Loew, Damarys;  Nakitandwe, Joy;  Rusch, Michael;  Bowers, Daniel C.;  Bendel, Anne;  Partap, Sonia;  Chintagumpala, Murali;  Crawford, John;  Gottardo, Nicholas G.;  Smith, Amy;  Dufour, Christelle;  Rutkowski, Stefan;  Eggen, Tone;  Wesenberg, Finn;  Kjaerheim, Kristina;  Feychting, Maria;  Lannering, Birgitta;  Schuz, Joachim;  Johansen, Christoffer;  Andersen, Tina V.;  Roosli, Martin;  Kuehni, Claudia E.;  Grotzer, Michael;  Remke, Marc;  Puget, Stephanie;  Pajtler, Kristian W.;  Milde, Till;  Witt, Olaf;  Ryzhova, Marina;  Korshunov, Andrey;  Orr, Brent A.;  Ellison, David W.;  Brugieres, Laurence;  Lichter, Peter;  Nichols, Kim E.;  Gajjar, Amar;  Wainwright, Brandon J.;  Ayrault, Olivier;  Korbel, Jan O.;  Northcott, Paul A.;  Pfister, Stefan M.
收藏  |  浏览/下载:61/0  |  提交时间:2020/07/03

Immune evasion is a major obstacle for cancer treatment. Common mechanisms of evasion include impaired antigen presentation caused by mutations or loss of heterozygosity of the major histocompatibility complex class I (MHC-I), which has been implicated in resistance to immune checkpoint blockade (ICB) therapy(1-3). However, in pancreatic ductal adenocarcinoma (PDAC), which is resistant to most therapies including ICB4, mutations that cause loss of MHC-I are rarely found(5) despite the frequent downregulation of MHC-I expression(6-8). Here we show that, in PDAC, MHC-I molecules are selectively targeted for lysosomal degradation by an autophagy-dependent mechanism that involves the autophagy cargo receptor NBR1. PDAC cells display reduced expression of MHC-I at the cell surface and instead demonstrate predominant localization within autophagosomes and lysosomes. Notably, inhibition of autophagy restores surface levels of MHC-I and leads to improved antigen presentation, enhanced anti-tumour T cell responses and reduced tumour growth in syngeneic host mice. Accordingly, the anti-tumour effects of autophagy inhibition are reversed by depleting CD8(+) T cells or reducing surface expression of MHC-I. Inhibition of autophagy, either genetically or pharmacologically with chloroquine, synergizes with dual ICB therapy (anti-PD1 and anti-CTLA4 antibodies), and leads to an enhanced anti-tumour immune response. Our findings demonstrate a role for enhanced autophagy or lysosome function in immune evasion by selective targeting of MHC-I molecules for degradation, and provide a rationale for the combination of autophagy inhibition and dual ICB therapy as a therapeutic strategy against PDAC.


Inhibition of the autophagy-lysosome system upregulates surface expression of MHC class I proteins and enhances antigen presentation, and evokes a potent anti-tumour immune response that is mediated by CD8(+) T cells.


  
Structural basis for catalysis and substrate specificity of human ACAT1 期刊论文
NATURE, 2020, 581 (7808) : 333-+
作者:  Jiao, Huipeng;  Wachsmuth, Laurens;  Kumari, Snehlata;  Schwarzer, Robin;  Lin, Juan;  Eren, Remzi Onur;  Fisher, Amanda;  Lane, Rebecca;  Young, George R.;  Kassiotis, George;  Kaiser, William J.;  Pasparakis, Manolis
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/03

The structure of human ACAT1, which catalyses the transfer of an acyl group from acyl-coenzyme A to cholesterol to form cholesteryl ester, is resolved by cryo-electron microscopy.


As members of the membrane-bound O-acyltransferase (MBOAT) enzyme family, acyl-coenzyme A:cholesterol acyltransferases (ACATs) catalyse the transfer of an acyl group from acyl-coenzyme A to cholesterol to generate cholesteryl ester, the primary form in which cholesterol is stored in cells and transported in plasma(1). ACATs have gained attention as potential drug targets for the treatment of diseases such as atherosclerosis, Alzheimer'  s disease and cancer(2-7). Here we present the cryo-electron microscopy structure of human ACAT1 as a dimer of dimers. Each protomer consists of nine transmembrane segments, which enclose a cytosolic tunnel and a transmembrane tunnel that converge at the predicted catalytic site. Evidence from structure-guided mutational analyses suggests that acyl-coenzyme A enters the active site through the cytosolic tunnel, whereas cholesterol may enter from the side through the transmembrane tunnel. This structural and biochemical characterization helps to rationalize the preference of ACAT1 for unsaturated acyl chains, and provides insight into the catalytic mechanism of enzymes within the MBOAT family(8).


  
Mechanisms and therapeutic implications of hypermutation in gliomas 期刊论文
NATURE, 2020, 580 (7804) : 517-+
作者:  Feng, Kaibo;  Quevedo, Raundi E.;  Kohrt, Jeffrey T.;  Oderinde, Martins S.;  Reilly, Usa;  White, M. Christina
收藏  |  浏览/下载:42/0  |  提交时间:2020/07/03

A high tumour mutational burden (hypermutation) is observed in some gliomas(1-5)  however, the mechanisms by which hypermutation develops and whether it predicts the response to immunotherapy are poorly understood. Here we comprehensively analyse the molecular determinants of mutational burden and signatures in 10,294 gliomas. We delineate two main pathways to hypermutation: a de novo pathway associated with constitutional defects in DNA polymerase and mismatch repair (MMR) genes, and a more common post-treatment pathway, associated with acquired resistance driven by MMR defects in chemotherapy-sensitive gliomas that recur after treatment with the chemotherapy drug temozolomide. Experimentally, the mutational signature of post-treatment hypermutated gliomas was recapitulated by temozolomide-induced damage in cells with MMR deficiency. MMR-deficient gliomas were characterized by a lack of prominent T cell infiltrates, extensive intratumoral heterogeneity, poor patient survival and a low rate of response to PD-1 blockade. Moreover, although bulk analyses did not detect microsatellite instability in MMR-deficient gliomas, single-cell whole-genome sequencing analysis of post-treatment hypermutated glioma cells identified microsatellite mutations. These results show that chemotherapy can drive the acquisition of hypermutated populations without promoting a response to PD-1 blockade and supports the diagnostic use of mutational burden and signatures in cancer.


Temozolomide therapy seems to lead to mismatch repair deficiency and hypermutation in gliomas, but not to an increase in response to immunotherapy.


  
Integrating genomic features for non-invasive early lung cancer detection 期刊论文
NATURE, 2020, 580 (7802) : 245-+
作者:  Wang, Qinyang;  Wang, Yupeng;  Ding, Jingjin;  Wang, Chunhong;  Zhou, Xuehan;  Gao, Wenqing;  Huang, Huanwei;  Shao, Feng;  Liu, Zhibo
收藏  |  浏览/下载:40/0  |  提交时间:2020/07/03

Circulating tumour DNA in blood is analysed to identify genomic features that distinguish early-stage lung cancer patients from risk-matched controls, and these are integrated into a machine-learning method for blood-based lung cancer screening.


Radiologic screening of high-risk adults reduces lung-cancer-related mortality(1,2)  however, a small minority of eligible individuals undergo such screening in the United States(3,4). The availability of blood-based tests could increase screening uptake. Here we introduce improvements to cancer personalized profiling by deep sequencing (CAPP-Seq)(5), a method for the analysis of circulating tumour DNA (ctDNA), to better facilitate screening applications. We show that, although levels are very low in early-stage lung cancers, ctDNA is present prior to treatment in most patients and its presence is strongly prognostic. We also find that the majority of somatic mutations in the cell-free DNA (cfDNA) of patients with lung cancer and of risk-matched controls reflect clonal haematopoiesis and are non-recurrent. Compared with tumour-derived mutations, clonal haematopoiesis mutations occur on longer cfDNA fragments and lack mutational signatures that are associated with tobacco smoking. Integrating these findings with other molecular features, we develop and prospectively validate a machine-learning method termed '  lung cancer likelihood in plasma'  (Lung-CLiP), which can robustly discriminate early-stage lung cancer patients from risk-matched controls. This approach achieves performance similar to that of tumour-informed ctDNA detection and enables tuning of assay specificity in order to facilitate distinct clinical applications. Our findings establish the potential of cfDNA for lung cancer screening and highlight the importance of risk-matching cases and controls in cfDNA-based screening studies.


  
A conserved dendritic-cell regulatory program limits antitumour immunity 期刊论文
NATURE, 2020, 580 (7802) : 257-+
作者:  Perry, Rachel J.;  Zhang, Dongyan;  Guerra, Mateus T.;  Brill, Allison L.;  Goedeke, Leigh;  Nasiri, Ali R.;  Rabin-Court, Aviva;  Wang, Yongliang;  Peng, Liang;  Dufour, Sylvie;  Zhang, Ye;  Zhang, Xian-Man;  Butrico, Gina M.;  Toussaint, Keshia;  Nozaki, Yuichi;  Cline, Gary W.;  Petersen, Kitt Falk;  Nathanson, Michael H.;  Ehrlich, Barbara E.;  Shulman, Gerald I.
收藏  |  浏览/下载:54/0  |  提交时间:2020/07/03

After taking up tumour-associated antigens, dendritic cells in mouse and human tumours upregulate a regulatory gene program that limits dendritic cell immunostimulatory function, and modulating this program can rescue antitumor immunity in mice.


Checkpoint blockade therapies have improved cancer treatment, but such immunotherapy regimens fail in a large subset of patients. Conventional type 1 dendritic cells (DC1s) control the response to checkpoint blockade in preclinical models and are associated with better overall survival in patients with cancer, reflecting the specialized ability of these cells to prime the responses of CD8(+) T cells(1-3). Paradoxically, however, DC1s can be found in tumours that resist checkpoint blockade, suggesting that the functions of these cells may be altered in some lesions. Here, using single-cell RNA sequencing in human and mouse non-small-cell lung cancers, we identify a cluster of dendritic cells (DCs) that we name '  mature DCs enriched in immunoregulatory molecules'  (mregDCs), owing to their coexpression of immunoregulatory genes (Cd274, Pdcd1lg2 and Cd200) and maturation genes (Cd40, Ccr7 and Il12b). We find that the mregDC program is expressed by canonical DC1s and DC2s upon uptake of tumour antigens. We further find that upregulation of the programmed death ligand 1 protein-a key checkpoint molecule-in mregDCs is induced by the receptor tyrosine kinase AXL, while upregulation of interleukin (IL)-12 depends strictly on interferon-gamma and is controlled negatively by IL-4 signalling. Blocking IL-4 enhances IL-12 production by tumour-antigen-bearing mregDC1s, expands the pool of tumour-infiltrating effector T cells and reduces tumour burden. We have therefore uncovered a regulatory module associated with tumour-antigen uptake that reduces DC1 functionality in human and mouse cancers.


  
KEEP COOL AND COLOURFUL WITH LAYERED PAINT 期刊论文
NATURE, 2020, 581 (7806) : 11-11
作者:  Petit, Jean-Robert;  Raynaud, Dominique
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/03

People with cancer show no serious side effects after treatment with gene-edited immune cells.


People with cancer show no serious side effects after treatment with gene-edited immune cells.


  
Microbiome analyses of blood and tissues suggest cancer diagnostic approach 期刊论文
NATURE, 2020, 579 (7800) : 567-+
作者:  Shao, Zhengping;  Flynn, Ryan A.;  Crowe, Jennifer L.;  Zhu, Yimeng;  Liang, Jialiang;  Jiang, Wenxia;  Aryan, Fardin;  Aoude, Patrick;  Bertozzi, Carolyn R.;  Estes, Verna M.;  Lee, Brian J.;  Bhagat, Govind;  Zha, Shan;  Calo, Eliezer
收藏  |  浏览/下载:83/0  |  提交时间:2020/07/03

Microbial nucleic acids are detected in samples of tissues and blood from more than 10,000 patients with cancer, and machine learning is used to show that these can be used to discriminate between and among different types of cancer, suggesting a new microbiome-based diagnostic approach.


Systematic characterization of the cancer microbiome provides the opportunity to develop techniques that exploit non-human, microorganism-derived molecules in the diagnosis of a major human disease. Following recent demonstrations that some types of cancer show substantial microbial contributions(1-10), we re-examined whole-genome and whole-transcriptome sequencing studies in The Cancer Genome Atlas(11) (TCGA) of 33 types of cancer from treatment-naive patients (a total of 18,116 samples) for microbial reads, and found unique microbial signatures in tissue and blood within and between most major types of cancer. These TCGA blood signatures remained predictive when applied to patients with stage Ia-IIc cancer and cancers lacking any genomic alterations currently measured on two commercial-grade cell-free tumour DNA platforms, despite the use of very stringent decontamination analyses that discarded up to 92.3% of total sequence data. In addition, we could discriminate among samples from healthy, cancer-free individuals (n = 69) and those from patients with multiple types of cancer (prostate, lung, and melanoma  100 samples in total) solely using plasma-derived, cell-free microbial nucleic acids. This potential microbiome-based oncology diagnostic tool warrants further exploration.


  
Peripheral T cell expansion predicts tumour infiltration and clinical response 期刊论文
NATURE, 2020, 579 (7798) : 274-+
作者:  Yasuda, Sayaka;  Tsuchiya, Hikaru;  Kaiho, Ai;  Guo, Qiang;  Ikeuchi, Ken;  Endo, Akinori;  Arai, Naoko;  Ohtake, Fumiaki;  Murata, Shigeo;  Inada, Toshifumi;  Baumeister, Wolfgang;  Fernandez-Busnadiego, Ruben;  Tanaka, Keiji;  Saeki, Yasushi
收藏  |  浏览/下载:21/0  |  提交时间:2020/07/03

Despite the resounding clinical success in cancer treatment of antibodies that block the interaction of PD1 with its ligand PDL1(1), the mechanisms involved remain unknown. A major limitation to understanding the origin and fate of T cells in tumour immunity is the lack of quantitative information on the distribution of individual clonotypes of T cells in patients with cancer. Here, by performing deep single-cell sequencing of RNA and T cell receptors in patients with different types of cancer, we survey the profiles of various populations of T cells and T cell receptors in tumours, normal adjacent tissue, and peripheral blood. We find clear evidence of clonotypic expansion of effector-like T cells not only within the tumour but also in normal adjacent tissue. Patients with gene signatures of such clonotypic expansion respond best to anti-PDL1 therapy. Notably, expanded clonotypes found in the tumour and normal adjacent tissue can also typically be detected in peripheral blood, which suggests a convenient approach to patient identification. Analyses of our data together with several external datasets suggest that intratumoural T cells, especially in responsive patients, are replenished with fresh, non-exhausted replacement cells from sites outside the tumour, suggesting continued activity of the cancer immunity cycle in these patients, the acceleration of which may be associated with clinical response.