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Haridas S, Albert R, Binder M, Bloem J, LaButti K, Salamov A, Andreopoulos B, Baker SE, Barry K, Bills G, Bluhm BH, Cannon C, Castanera R, Culley DE, Daum C, Ezra D, González JB, Henrissat B, Kuo A, Liang C, Lipzen A, Lutzoni F, Magnuson J, Mondo SJ, Nolan M, Ohm RA, Pangilinan J, Park HJ, Ramírez L, Alfaro M, Sun H, Tritt A, Yoshinaga Y, Zwiers LH, Turgeon BG, Goodwin SB, Spatafora JW, Crous PW, Grigoriev IV. 101 Dothideomycetes genomes: A test case for predicting lifestyles and emergence of pathogens. Stud Mycol 2020; 96:141-153. [PMID: 32206138 PMCID: PMC7082219 DOI: 10.1016/j.simyco.2020.01.003] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Dothideomycetes is the largest class of kingdom Fungi and comprises an incredible diversity of lifestyles, many of which have evolved multiple times. Plant pathogens represent a major ecological niche of the class Dothideomycetes and they are known to infect most major food crops and feedstocks for biomass and biofuel production. Studying the ecology and evolution of Dothideomycetes has significant implications for our fundamental understanding of fungal evolution, their adaptation to stress and host specificity, and practical implications with regard to the effects of climate change and on the food, feed, and livestock elements of the agro-economy. In this study, we present the first large-scale, whole-genome comparison of 101 Dothideomycetes introducing 55 newly sequenced species. The availability of whole-genome data produced a high-confidence phylogeny leading to reclassification of 25 organisms, provided a clearer picture of the relationships among the various families, and indicated that pathogenicity evolved multiple times within this class. We also identified gene family expansions and contractions across the Dothideomycetes phylogeny linked to ecological niches providing insights into genome evolution and adaptation across this group. Using machine-learning methods we classified fungi into lifestyle classes with >95 % accuracy and identified a small number of gene families that positively correlated with these distinctions. This can become a valuable tool for genome-based prediction of species lifestyle, especially for rarely seen and poorly studied species.
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Key Words
- Aulographales Crous, Spatafora, Haridas & Grigoriev
- Coniosporiaceae Crous, Spatafora, Haridas & Grigoriev
- Coniosporiales Crous, Spatafora, Haridas & Grigoriev
- Eremomycetales Crous, Spatafora, Haridas & Grigoriev
- Fungal evolution
- Genome-based prediction
- Lineolataceae Crous, Spatafora, Haridas & Grigoriev
- Lineolatales Crous, Spatafora, Haridas & Grigoriev
- Machine-learning
- New taxa
- Rhizodiscinaceae Crous, Spatafora, Haridas & Grigoriev
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Affiliation(s)
- S Haridas
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - R Albert
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, USA
| | - M Binder
- Westerdijk Fungal Biodiversity Institute, Utrecht, The Netherlands
| | - J Bloem
- Westerdijk Fungal Biodiversity Institute, Utrecht, The Netherlands
| | - K LaButti
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - A Salamov
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - B Andreopoulos
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - S E Baker
- Functional and Systems Biology Group, Environmental Molecular Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - K Barry
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - G Bills
- University of Texas Health Science Center, Houston, TX, USA
| | - B H Bluhm
- University of Arkansas, Fayelletville, AR, USA
| | - C Cannon
- Texas Tech University, Lubbock, TX, USA
| | - R Castanera
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Institute for Multidisciplinary Research in Applied Biology (IMAB-UPNA), Universidad Pública de Navarra, Pamplona, Navarra, Spain
| | - D E Culley
- Functional and Systems Biology Group, Environmental Molecular Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - C Daum
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - D Ezra
- Agricultural Research Organization, Volcani Center, Rishon LeTsiyon, Israel
| | - J B González
- Section of Plant Pathology and Plant-Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA
| | - B Henrissat
- CNRS, Aix-Marseille Université, Marseille, France.,INRA, Marseille, France.,Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - A Kuo
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - C Liang
- College of Agronomy and Plant Protection, Qingdao Agricultural University, China
| | - A Lipzen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - F Lutzoni
- Department of Biology, Duke University, Durham, NC, USA
| | - J Magnuson
- Functional and Systems Biology Group, Environmental Molecular Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - S J Mondo
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Bioagricultural Science and Pest Management Department, Colorado State University, Fort Collins, CO, USA
| | - M Nolan
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - R A Ohm
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Microbiology, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - J Pangilinan
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - H-J Park
- Section of Plant Pathology and Plant-Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA
| | - L Ramírez
- Institute for Multidisciplinary Research in Applied Biology (IMAB-UPNA), Universidad Pública de Navarra, Pamplona, Navarra, Spain
| | - M Alfaro
- Institute for Multidisciplinary Research in Applied Biology (IMAB-UPNA), Universidad Pública de Navarra, Pamplona, Navarra, Spain
| | - H Sun
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - A Tritt
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Y Yoshinaga
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - L-H Zwiers
- Westerdijk Fungal Biodiversity Institute, Utrecht, The Netherlands
| | - B G Turgeon
- Section of Plant Pathology and Plant-Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA
| | - S B Goodwin
- U.S. Department of Agriculture-Agricultural Research Service, 915 W. State Street, West Lafayette, IN, USA
| | - J W Spatafora
- Department of Botany & Plant Pathology, Oregon State University, Oregon State University, Corvallis, OR, USA
| | - P W Crous
- Westerdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.,Microbiology, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - I V Grigoriev
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, USA
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Greenwell K, Hussain L, Ho C, Dunki-Jacobs E, Lee D, Bramlage M, Bills G, Mehta A, Jones J, Jackson A, Wexelman B. Abstract PD3-04: Complete pathologic response rate to neoadjuvant chemotherapy increases with increasing HER2 ratio in HER2 over-expressing breast cancer: Analysis of the National cancer database (NCDB). Cancer Res 2018. [DOI: 10.1158/1538-7445.sabcs17-pd3-04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: HER2-positive (HER2+) breast cancer is an aggressive subtype that overexpresses human epidermal growth factor receptor 2 promoting cancer cell growth. Monoclonal antibodies targeting the HER2 receptor have improved survival for this patient population, and current NCCN guidelines recommend consideration of neoadjuvant anti-HER2 therapy (NAC) in Stage 2 & 3 HER2+ breast cancer. Pathologic complete response (pCR) to NAC has correlated with longer disease free survival in multiple trials.
Per ASCO-CAP guidelines tumors are considered HER2+ if HER2 copy number≥ 6/cell, HER2/CEP17 ratio≥ 2, or ratio<2 & HER2 copy number ≥6/cell. We hypothesize that patients with higher HER2 ratios will have higher rates of pCR after NAC.
Methods: The National Cancer Database is supported by the American College of Surgeons and the American Cancer Society containing de-identified patient treatment data from over 1,500 US facilities. We performed a retrospective review comparing pCR rates after NAC based on HER2 ratio. Patients were excluded if they were HER2 negative, did not undergo NAC, or if the HER2 ratio was not recorded. Chi-squared and Fisher's exact test were used to compare pCR versus partial response between deciles of HER2 ratios.
Results: The NCDB included 237,118 patients with HER2 equivocal or HER2+ breast tumors. 29,291 of these patients underwent NAC, and HER2 ratios were recorded in 14,597 of the NAC cases. The majority (98%) of included cases were from 2010-2014. A pCR was noted in 9,752 patients and 11,402 patients had a partial response. No response was observed in 1,735 patients and 6,402 patients had a response but the degree was not recorded.
HER2 ratios were significantly different between pCR vs. partial response groups, p <0.001. We identified a direct relationship between increasing HER2 ratio and response to NAC. For ratios 2-2.9, 23.6% achieved pCR and 44.7% had a partial response. For ratio of 5-5.9, 40.7% achieved pCR and even higher rates of pCR were noted for ratios 8-8.9; 49.5% achieved pCR. While both estrogen receptor (ER) positive and ER negative tumors demonstrated this trend, ER negative tumors had higher rates of pCR (ER negative pCR range 37.6% to 59.4% vs ER positive pCR range 16.9% to 42.3%, p<0.01).
Conclusion: Contrary to current dogma, not all HER2+ tumors respond similarly to NAC. We demonstrate a linear relationship between HER2 ratio and pCR in over 14,000 patients. Those with HER2 ratios ≥5.0 were more likely to achieve pCR compared to patients with ratio ≤4.9. The NCDB reflects current clinical practice across the country not restricted to confines of clinical trials, and in this population higher HER2 ratios are predictive of pCR after NAC.
Response to NAC by Her2 Ratio- Complete vs Partial Response Response to NAC p ValueHER2 Ratio Complete Response- pCR (N) Partial Response (N) 1.00- 1.99141819.5%343047.2%<0.01 2.00- 2.9951423.6%97444.7%<0.01 3.00- 3.9928328.7%41942.4%<0.01 4.00- 4.9926533.2%30638.2%<0.01 5.00- 5.9929940.7%24333.1%<0.01 6.00- 6.9929241.0%25435.5%<0.01 7.00- 7.9924746.2%17432.5%<0.01 8.00- 8.9918749.5%12132.0%<0.01 9.00- 9.87 and greater44143.9%31431.3%<0.01TOTAL 394627.0%623542.7%<0.01
Citation Format: Greenwell K, Hussain L, Ho C, Dunki-Jacobs E, Lee D, Bramlage M, Bills G, Mehta A, Jones J, Jackson A, Wexelman B. Complete pathologic response rate to neoadjuvant chemotherapy increases with increasing HER2 ratio in HER2 over-expressing breast cancer: Analysis of the National cancer database (NCDB) [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr PD3-04.
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Affiliation(s)
- K Greenwell
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - L Hussain
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - C Ho
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - E Dunki-Jacobs
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - D Lee
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - M Bramlage
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - G Bills
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - A Mehta
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - J Jones
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - A Jackson
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
| | - B Wexelman
- Trihealth Cancer Institute, Cincinnati, OH; Trihealth Hatton Research Institute, Cincinnati, OH; Trihealth, Cincinnati, OH
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Onishi J, Meinz M, Thompson J, Curotto J, Dreikorn S, Rosenbach M, Douglas C, Abruzzo G, Flattery A, Kong L, Cabello A, Vicente F, Pelaez F, Diez MT, Martin I, Bills G, Giacobbe R, Dombrowski A, Schwartz R, Morris S, Harris G, Tsipouras A, Wilson K, Kurtz MB. Discovery of novel antifungal (1,3)-beta-D-glucan synthase inhibitors. Antimicrob Agents Chemother 2000; 44:368-77. [PMID: 10639364 PMCID: PMC89685 DOI: 10.1128/aac.44.2.368-377.2000] [Citation(s) in RCA: 206] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The increasing incidence of life-threatening fungal infections has driven the search for new, broad-spectrum fungicidal agents that can be used for treatment and prophylaxis in immunocompromised patients. Natural-product inhibitors of cell wall (1,3)-beta-D-glucan synthase such as lipopeptide pneumocandins and echinocandins as well as the glycolipid papulacandins have been evaluated as potential therapeutics for the last two decades. As a result, MK-0991 (caspofungin acetate; Cancidas), a semisynthetic analogue of pneumocandin B(o), is being developed as a broad-spectrum parenteral agent for the treatment of aspergillosis and candidiasis. This and other lipopeptide antifungal agents have limited oral bioavailability. Thus, we have sought new chemical structures with the mode of action of lipopeptide antifungal agents but with the potential for oral absorption. Results of natural-product screening by a series of newly developed methods has led to the identification of four acidic terpenoid (1,3)-beta-D-glucan synthase inhibitors. Of the four compounds, the in vitro antifungal activity of one, enfumafungin, is comparable to that of L-733560, a close analogue of MK-0991. Like the lipopeptides, enfumafungin specifically inhibits glucan synthesis in whole cells and in (1,3)-beta-D-glucan synthase assays, alters the morphologies of yeasts and molds, and produces a unique response in Saccharomyces cerevisiae strains with point mutations in FKS1, the gene which encodes the large subunit of glucan synthase.
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Affiliation(s)
- J Onishi
- Department of Infectious Diseases, Merck Research Laboratories, Rahway, NJ 07065-0900, USA.
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