Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Video Abstracts
  • Reviews
    • View all reviews ...
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • Substance Use Disorders (Oct 2024)
    • Clonal Hematopoiesis (Oct 2024)
    • Sex Differences in Medicine (Sep 2024)
    • Vascular Malformations (Apr 2024)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Video Abstracts
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
Top
  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal
  • Top
  • Abstract
  • Myositis-specific autoantibodies and a relationship to cancer
  • Autoantibody signatures in DM associate with cancer risk
  • Further study and insight into the DM-cancer relationship
  • MSA clinical phenotypes in children and adults
  • Acknowledgments
  • Footnotes
  • References
  • Version history
Article has an altmetric score of 5

See more details

Posted by 9 X users
21 readers on Mendeley
  • Article usage
  • Citations to this article

Advertisement

Commentary Open Access | 10.1172/JCI156025

Using autoantibody signatures to define cancer risk in dermatomyositis

Jessica L. Turnier1 and J. Michelle Kahlenberg2,3

1Department of Pediatrics, Division of Rheumatology,

2Department of Internal Medicine, Division of Rheumatology,

3Department of Dermatology, University of Michigan, Ann Arbor, Michigan, USA.

Address correspondence to: J. Michelle Kahlenberg, 5570A MSRB II, 1150 W. Medical Center Drive, Ann Arbor, Michigan 48109-5678, USA. Phone: 734.763.8025; Email: mkahlenb@med.umich.edu.

Find articles by Turnier, J. in: JCI | PubMed | Google Scholar |

1Department of Pediatrics, Division of Rheumatology,

2Department of Internal Medicine, Division of Rheumatology,

3Department of Dermatology, University of Michigan, Ann Arbor, Michigan, USA.

Address correspondence to: J. Michelle Kahlenberg, 5570A MSRB II, 1150 W. Medical Center Drive, Ann Arbor, Michigan 48109-5678, USA. Phone: 734.763.8025; Email: mkahlenb@med.umich.edu.

Find articles by Kahlenberg, J. in: JCI | PubMed | Google Scholar |

Published January 18, 2022 - More info

Published in Volume 132, Issue 2 on January 18, 2022
J Clin Invest. 2022;132(2):e156025. https://doi.org/10.1172/JCI156025.
© 2022 Turnier et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published January 18, 2022 - Version history
View PDF

Related article:

Immune responses to CCAR1 and other dermatomyositis autoantigens are associated with attenuated cancer emergence
David F. Fiorentino, … , Antony Rosen, Livia Casciola-Rosen
David F. Fiorentino, … , Antony Rosen, Livia Casciola-Rosen
Clinical Research and Public Health Autoimmunity Immunology Article has an altmetric score of 24

Immune responses to CCAR1 and other dermatomyositis autoantigens are associated with attenuated cancer emergence

  • Text
  • PDF
Abstract

BACKGROUND The temporal clustering of a cancer diagnosis with dermatomyositis (DM) onset is strikingly associated with autoantibodies against transcriptional intermediary factor 1-γ (TIF1-γ). Nevertheless, many patients with anti–TIF1-γ antibodies never develop cancer. We investigated whether additional autoantibodies are found in anti–TIF1-γ–positive patients without cancer.METHODS Using a proteomic approach, we defined 10 previously undescribed autoantibody specificities in 5 index anti–TIF1-γ–positive DM patients without cancer. These were subsequently examined in discovery (n = 110) and validation (n = 142) cohorts of DM patients with anti–TIF1-γ autoantibodies.RESULTS We identified 10 potentially novel autoantibodies in anti–TIF1-γ–positive DM patients, 6 with frequencies ranging from 3% to 32% in 2 independent DM cohorts. Autoantibodies recognizing cell division cycle and apoptosis regulator protein 1 (CCAR1) were the most frequent, and were significantly negatively associated with contemporaneous cancer (discovery cohort OR 0.27 [95% CI 0.7–1.00], P = 0.050; validation cohort OR 0.13 [95% CI 0.03–0.59], P = 0.008). When cancer did emerge, it occurred significantly later in anti-CCAR1–positive compared with anti-CCAR1–negative patients (median time from DM onset 4.3 vs. 0.85 years, respectively; P = 0.006). Cancers that emerged were more likely to be localized (89% of anti-CCAR1–positive cancers presenting at stage 0 or 1 compared with 42% of patients without anti-CCAR1 antibodies, P = 0.02). As the number of additional autoantibody specificities increased in anti–TIF1-γ–positive DM patients, the frequency of cancer decreased (P < 0.001).CONCLUSION As the diversity of immune responses in anti–TIF1-γ DM patients increases, the likelihood of cancer emerging decreases. Our findings have important relevance for cancer risk stratification in DM patients and for understanding natural immune regulation of cancer in humans.TRIAL REGISTRATION Not applicable.FUNDING SOURCES The NIH, the Donald B. and Dorothy L. Stabler Foundation, and the Huayi and Siuling Zhang Discovery Fund.

Authors

David F. Fiorentino, Christopher A. Mecoli, Matthew C. Rosen, Lorinda S. Chung, Lisa Christopher-Stine, Antony Rosen, Livia Casciola-Rosen

×

Abstract

Dermatomyositis is an idiopathic inflammatory myopathy with a highly heterogeneous disease course. Although there is a known increase in cancer risk surrounding the time of dermatomyositis diagnosis, the mechanisms driving this increased risk are not well understood. Further, there are no current standardized cancer screening guidelines for dermatomyositis patients. In this issue of the JCI, Fiorentino, Mecoli, et al. discovered additional autoantibodies in patients with dermatomyositis and anti–TIF1-γ autoantibodies, a known risk factor for malignancy. They observed a decreased cancer risk with an increasing number of autoantibodies. Importantly, these findings indicate that more detailed autoantibody phenotyping at diagnosis might better predict cancer risk and also suggest that diversity and kinetics of the host immune response might influence cancer development.

Myositis-specific autoantibodies and a relationship to cancer

The discovery of myositis-specific autoantibodies (MSAs) has been an important step toward understanding disease heterogeneity and paving the way for personalized medicine in dermatomyositis (DM). MSAs associate with distinct clinical phenotypes (1), and it is now possible to utilize MSAs to stratify patients with DM for risk of potential disease complications and associated outcomes. Notably, there is an increased risk of cancer with specific MSAs, most commonly anti–transcription intermediary factor 1-γ (TIF1-γ) (2, 3).

The cancer-DM relationship is well recognized, and cancer-associated myositis (CAM) affects up to 30% of DM patients, most often within the first year of diagnosis. Although multiple clinical variables, in addition to MSA status, associate with risk or protection from the development of cancer in DM (4), we do not yet understand the mechanisms linking MSAs or clinical phenotypes to the onset of cancer. Moreover, even within the subgroup of patients with DM considered at highest risk for cancer based on MSA and clinical status, these patients may remain cancer free. Thus, there exists an unmet need to improve cancer risk stratification in DM in order to develop targeted cancer screening guidelines (for which none are currently standardized; ref. 5) and improve patient care.

Autoantibody signatures in DM associate with cancer risk

In a retrospective, multicenter cohort study, Fiorentino, Mecoli, et al. (6) identified autoantibodies present in patients with anti–TIF1-γ–positive DM that conferred protection against cancer development, with a dose-response relationship between increasing number of autoantibodies and decreasing cancer frequency (6). The authors first used plasma from 36 DM patients either with or without a cancer diagnosis (n = 18 per group) to immunoprecipitate proteins from melanoma cell lysates. The investigators discovered an increased number of immunoprecipitated proteins in patients with DM but without cancer, thereby noting an overall greater target autoantigen diversity in the absence of associated cancer. Next, they performed mass spectrometry sequencing on the immunoprecipitates from five of the anti–TIF1-γ–positive patients without cancer and identified 23 candidate autoantigens, subsequently validating 10 of these targets that were unique to DM patients as compared with healthy controls (6).

Fiorentino, Mecoli et al. screened for these 10 candidate autoantibodies in two independent cohorts of subjects with DM from Stanford (n = 110) and Johns Hopkins (n = 142), identifying at least one autoantibody in 50% of all patients and defining cell division cycle and apoptosis regulator protein 1 (CCAR1) as the most common autoantigen (6). Antibodies recognizing CCAR1 were present in 32% of patients with DM that were positive for anti–TIF1-γ in both cohorts and were found in only 1.5% of patients with scleroderma who possessed anti-POLR3A autoantibodies, suggesting good disease specificity. Patients with the sole presence of anti–TIF1-γ had a two- to four-fold higher incidence of cancer, whereas anti-CCAR1 antibodies were negatively associated with cancer within three years of diagnosis (OR 0.27, P = 0.05 [Stanford]; OR 0.13, P = 0.008 [Johns Hopkins]). If cancer was ultimately diagnosed in patients with DM and anti-CCAR1 autoantibodies, cancers were of a lower stage and occurred further from DM diagnosis (4.3 vs. 0.87 years). Interestingly, anti-CCAR1 autoantibodies were specific to the anti–TIF1-γ–positive subset, as they were found in only 1 out of 172 patients who had DM but were negative for anti–TIF1-γ. The tight relationship between these autoantigens was further enhanced by data that show that CCAR1 and TIF1-γ associate within the same molecular complex (6).

Further study and insight into the DM-cancer relationship

Fiorentino, Mecoli, et al. (6) also generate an important discussion related to understanding the body’s natural immune regulation of cancer and specifically the phases of cancer immunoediting (7) in the context of their data. The investigators speculate that greater diversity of the immune response in anti–TIF1-γ–positive patients with multiple autoantibodies may be protective against cancer through increased time spent in the equilibrium phase of immunoediting, allowing a greater likelihood of immune-mediated elimination of precancerous or cancerous cells. This process may reflect a broader mechanism relevant to multiple autoimmune diseases, as scleroderma patients with anti-RPA194 in addition to anti-POLR3A also have decreased cancer risk (8). The individual microenvironment in which immunoediting occurs also likely contributes to outcome, and it is important to consider shifts in this microenvironment in the context of ongoing and changing immunomodulatory therapy. It is known that immune cell type, density, and spatial orientation within tissue at the site of cancer influence survival and response to therapy, in particular immune checkpoint inhibitors (9). In a given individual with DM, the process of immunoediting is also potentially altered by the stage and type of host immune response and consideration of time from DM diagnosis and ongoing treatment effects. Another remaining question is whether some cases of CAM may actually arise during the process of cancer immunoediting.

Given that TIF1-γ is a nuclear antigen, it is possible that pathways in cell death and damage expose this antigen to the immune response (10), perhaps in the context of cancer cell death. Other hypotheses for the presence of anti–TIF1-γ antibodies include increased baseline expression of myositis antigens, including TIF1-γ, in DM muscle, predominantly in regenerating cells (11, 12). The skin could also play a role. Patients with DM who possess anti–TIF1-γ autoantibodies have a more severe skin disease phenotype and, notably, photosensitivity. Interestingly, patients with juvenile DM (JDM) who experienced increased UV radiation exposure in the month prior to disease onset had a higher likelihood of having anti–TIF1-γ autoantibodies (13), suggesting a potential role for skin inflammation in modifying disease phenotype and MSA development. Clustering of systemic lupus erythematosus autoantigens has previously been demonstrated on the surface of apoptotic keratinocytes (14), and a similar mechanism could operate in DM keratinocytes. It has already been shown that Mi-2, another MSA, shows increased expression in keratinocytes for up to 16 hours after UV exposure (15). Given that CCAR1 was discovered through testing antigens isolated from a melanoma cell line, it is intriguing to speculate that skin cancers may be an important contributor to this MSA. The authors acknowledge that they have yet to test other cancer lines for additional antibody specificities (6).

Other functions of TIF1-γ include its role as an E3 ubiquitin-protein ligase and nuclear protein that likely acts as a transcriptional repressor. TIF1-γ has various roles in inflammation as well. In macrophages, it is necessary for IFNB1 transcription shutdown (16), and it also regulates NLRP3 inflammasome activation (17). In a mouse model of inflammatory bowel disease, TIF1-γ expression in monocytes/macrophages was shown to be essential to resolve inflammation (18). Importantly, TIF1-γ can inhibit tumor growth and metastasis (17). Expression of TIF1-γ varies in different tumor types (17), but the mechanisms by which it functions in malignancy need further study. Whether antibodies against TIF1-γ reflect nonspecific cancer-driven immune activation or whether they have a functional role in modulating the mechanisms by which TIF1-γ is involved in cancer growth regulation remains unknown. Similarly, how anti-CCAR1 antibodies modulate cancer growth needs further investigation. Interestingly, CCAR1 gene expression levels have been demonstrated to associate with cancer survival, although results vary with cancer type; low CCAR1 expression levels correlate with increased survival in liver and renal cancers and the opposite has been shown in ovarian cancers (19). Of note, individuals with anti–TIF1-γ+ DM as compared with anti–TIF1-γ– DM more commonly have ovarian cancer as compared with other cancer types (20).

MSA clinical phenotypes in children and adults

Although TIF1-γ is one of the most frequently encountered MSAs in JDM (21), TIF1-γ is almost never associated with cancer development in children. In the absence of atypical clinical features suggestive of underlying malignancy, pediatric rheumatologists do not routinely screen for cancer in JDM. Children with anti–TIF1-γ autoantibodies demonstrate more severe skin disease as compared with adults (22) and are more likely to have a chronic disease course (23). Anti–TIF1-γ autoantibodies from both children and adults target the same autoantigen in K562 leukemic cells (22), although tissue-specific differences and potential unique protein epitopes are unknown. It is possible that differential skewing of the immune response related to patient age and other factors plays a role in disease phenotype (24), disease course, and potential development of cancer. Further, it is important to understand immune responses that are protective against cancer development and study anti–TIF1-γ–positive JDM patients.

Comparison of disease immunophenotypes in children versus adults could lend insight into protective mechanisms. Screening a pediatric cohort of patients with JDM for anti-CCAR1 and other autoantibodies could serve as a first step to highlight similarities and differences in the age-specific host immune response in myositis. It would be interesting to determine whether anti–TIF1-γ–positive DM patients who do not develop cancer demonstrate an immunophenotype more similar to patients with JDM. It would also be interesting to study whether skewing of the immune response toward the development of calcinosis protects against cancer development. Notably, children more commonly develop calcinosis than adults with DM (25) and most frequently in the presence of antibodies against nuclear matrix protein-2 (NXP2) (26), another MSA that has been associated with cancer in DM (27).

In summary, Fiorentino, Mecoli, et al. (6) find additional biomarkers that may fine-tune our understanding of cancer risk in adult DM patients. Still, more importantly, the study adds insight into the intricate relationship between cancer and autoimmunity. Further investigation of the role of TIF1-γ, CCAR1, and other immune targets in individuals with DM is warranted.

Acknowledgments

JMK received support by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the NIH under award numbers R01-AR071384 and K24 AR076975, the A. Alfred Taubman Medical Research Institute, the Parfet Emerging Scholar Award, the Lupus Research Alliance, and the Doris Duke Charitable Foundation through a Physician Scientist Development award. JLT was supported by a Rheumatology Research Foundation Investigator Award, a Cure Juvenile Myositis Foundation research grant, and the NIH Loan Repayment Program Award in Pediatric Research.

Address correspondence to: J. Michelle Kahlenberg, 5570A MSRB II, 1150 W. Medical Center Drive, Ann Arbor, Michigan 48109-5678, USA. Phone: 734.763.8025; Email: mkahlenb@med.umich.edu.

Footnotes

Conflict of interest: JMK has received grant support from Q32 Bio, Celgene/BMS, Ventus Therapeutics, and Janssen. JMK has served on advisory boards for AstraZeneca, Eli Lilly, GlaxoSmithKline, Bristol Myers Squibb, Avion Pharmaceuticals, Provention Bio, Aurinia Pharmaceuticals, Ventus Therapeutics, and Boehringer Ingelheim.

Copyright: © 2022, Turnier et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.

Reference information: J Clin Invest. 2022;132(2):e156025. https://doi.org/10.1172/JCI156025.

See the related article at Immune responses to CCAR1 and other dermatomyositis autoantigens are associated with attenuated cancer emergence.

References
  1. Betteridge Z, McHugh N. Myositis-specific autoantibodies: an important tool to support diagnosis of myositis. J Intern Med. 2016;280(1):8–23.
    View this article via: PubMed CrossRef Google Scholar
  2. Chinoy H, et al. The diagnostic utility of myositis autoantibody testing for predicting the risk of cancer-associated myositis. Ann Rheum Dis. 2007;66(10):1345–1349.
    View this article via: PubMed CrossRef Google Scholar
  3. Yang H, et al. Identification of multiple cancer-associated myositis-specific autoantibodies in idiopathic inflammatory myopathies: a large longitudinal cohort study. Arthritis Res Ther. 2017;19(1):259.
    View this article via: PubMed CrossRef Google Scholar
  4. Oldroyd AGS, et al. A systematic review and meta-analysis to inform cancer screening guidelines in idiopathic inflammatory myopathies. Rheumatology. 2021;60(6):2615–2628.
    View this article via: PubMed CrossRef Google Scholar
  5. Moghadam-Kia S, et al. Risk factors and cancer screening in myositis. Rheum Dis Clin North Am. 2020;46(3):565–576.
    View this article via: PubMed CrossRef Google Scholar
  6. Fiorentino DF, et al. Immune responses to CCAR1 and other dermatomyositis autoantigens are associated with attenuated cancer emergence. J Clin Invest. 2022;132(2):e150201.
  7. O’Donnell JS, et al. Cancer immunoediting and resistance to T cell-based immunotherapy. Nat Rev Clin Oncol. 2019;16(3):151–167.
    View this article via: PubMed CrossRef Google Scholar
  8. Shah AA, et al. Protective effect against cancer of antibodies to the large subunits of both RNA polymerases I and III in scleroderma. Arthritis Rheumatol. 2019;71(9):1571–1579.
    View this article via: PubMed CrossRef Google Scholar
  9. Fridman WH, et al. The immune contexture in human tumours: impact on clinical outcome. Nat Rev Cancer. 2012;12(4):298–306.
    View this article via: PubMed CrossRef Google Scholar
  10. Rosen A, Casciola-Rosen L. Autoantigens as partners in initiation and propagation of autoimmune rheumatic diseases. Annu Rev Immunol. 2016;34:395–420.
    View this article via: PubMed CrossRef Google Scholar
  11. Casciola-Rosen L, et al. Enhanced autoantigen expression in regenerating muscle cells in idiopathic inflammatory myopathy. J Exp Med. 2005;201(4):591–601.
    View this article via: PubMed CrossRef Google Scholar
  12. Mohassel P, et al. Expression of the dermatomyositis autoantigen transcription intermediary factor 1γ in regenerating muscle. Arthritis Rheumatol. 2015;67(1):266–272.
    View this article via: PubMed CrossRef Google Scholar
  13. Shah M, et al. Brief report: ultraviolet radiation exposure is associated with clinical and autoantibody phenotypes in juvenile myositis. Arthritis Rheum. 2013;65(7):1934–1941.
    View this article via: PubMed CrossRef Google Scholar
  14. Casciola-Rosen LA, et al. Autoantigens targeted in systemic lupus erythematosus are clustered in two populations of surface structures on apoptotic keratinocytes. J Exp Med. 1994;179(4):1317–1330.
    View this article via: PubMed CrossRef Google Scholar
  15. Burd CJ, et al. UV radiation regulates Mi-2 through protein translation and stability. J Biol Chem. 2008;283(50):34976–34982.
    View this article via: PubMed CrossRef Google Scholar
  16. Ferri F, et al. TRIM33 switches off Ifnb1 gene transcription during the late phase of macrophage activation. Nat Commun. 2015;6:8900.
    View this article via: PubMed Google Scholar
  17. Yu C, et al. The roles of TIF1γ in cancer. Front Oncol. 2019;9:979.
    View this article via: PubMed Google Scholar
  18. Petit V, et al. TRIM33 deficiency in monocytes and macrophages impairs resolution of colonic inflammation. EBioMedicine. 2019;44:60–70.
    View this article via: PubMed CrossRef Google Scholar
  19. Johnson GS, et al. CCAR1 and CCAR2 as gene chameleons with antagonistic duality: preclinical, human translational, and mechanistic basis. Cancer Sci. 2020;111(10):3416–3425.
    View this article via: PubMed CrossRef Google Scholar
  20. Oldroyd A, et al. The temporal relationship between cancer and adult onset anti-transcriptional intermediary factor 1 antibody-positive dermatomyositis. Rheumatology. 2019;58(4):650–655.
    View this article via: PubMed CrossRef Google Scholar
  21. Rider LG, et al. The myositis autoantibody phenotypes of the juvenile idiopathic inflammatory myopathies. Medicine (Baltimore). 2013;92(4):223–243.
    View this article via: PubMed CrossRef Google Scholar
  22. Gunawardena H, et al. Clinical associations of autoantibodies to a p155/140 kDa doublet protein in juvenile dermatomyositis. Rheumatology (Oxford). 2008;47(3):324–328.
    View this article via: PubMed Google Scholar
  23. Pachman LM, Khojah AM. Advances in juvenile dermatomyositis: myositis specific antibodies aid in understanding disease heterogeneity. J Pediatr. 2018;195:16–27.
    View this article via: PubMed CrossRef Google Scholar
  24. Tansley SL, McHugh NJ. Myositis specific and associated autoantibodies in the diagnosis and management of juvenile and adult idiopathic inflammatory myopathies. Curr Rheumatol Rep. 2014;16(12):464.
    View this article via: PubMed CrossRef Google Scholar
  25. Tansley SL, et al. Adult and juvenile dermatomyositis: are the distinct clinical features explained by our current understanding of serological subgroups and pathogenic mechanisms? Arthritis Res Ther. 2013;15(2):211.
    View this article via: PubMed CrossRef Google Scholar
  26. Tansley SL, et al. Calcinosis in juvenile dermatomyositis is influenced by both anti-NXP2 autoantibody status and age at disease onset. Rheumatology (Oxford). 2014;53(12):2204–2208.
    View this article via: PubMed CrossRef Google Scholar
  27. Fiorentino DF, et al. Most patients with cancer-associated dermatomyositis have antibodies to nuclear matrix protein NXP-2 or transcription intermediary factor 1gamma. Arthritis Rheum. 2013;65(11):2954–2962.
Version history
  • Version 1 (January 18, 2022): Electronic publication

Article tools

  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal

Metrics

Article has an altmetric score of 5
  • Article usage
  • Citations to this article

Go to

  • Top
  • Abstract
  • Myositis-specific autoantibodies and a relationship to cancer
  • Autoantibody signatures in DM associate with cancer risk
  • Further study and insight into the DM-cancer relationship
  • MSA clinical phenotypes in children and adults
  • Acknowledgments
  • Footnotes
  • References
  • Version history
Advertisement
Advertisement

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts

Picked up by 2 news outlets
Posted by 8 X users
Referenced in 1 patents
29 readers on Mendeley
See more details
Posted by 9 X users
21 readers on Mendeley
See more details