Abstract
Adult-onset idiopathic inflammatory myopathy (IIM) is associated with an increased cancer risk within three years prior to or following IIM onset. Evidence and consensus-based recommendations for IIM-associated cancer screening can potentially improve outcomes.
Recommendations were formed via a modified Delphi approach using a series of online surveys completed by an international Expert Group.
In total, 18 recommendations were made. First, recommendations allow a patient’s individual IIM-associated cancer risk (compared to overall IIM population, not the general population) to be stratified into standard, moderate, and high risk according to the IIM subtype, autoantibody status, and clinical features. Second, recommendations outline a “basic” screening panel (including chest radiography, preliminary laboratory blood tests) and an “enhanced” screening panel (including computed tomography [CT] and tumor markers). Third, recommendations advise on the timing and frequency of screening via basic and enhanced panels, according to standard/moderate/high risk status. Recommendations also advise consideration of upper/lower gastro-intestinal endoscopy, naso-endoscopy, and 18F-FDG PET/CT scanning in specific patient populations.
The International Guideline for IIM-Associated Cancer Screening provides recommendations addressing individual patient IIM-associated cancer risk stratification, cancer screening modalities, and screening frequency. These recommendations aim to facilitate earlier IIM-associated cancer detection, especially in those who are at high risk, thus potentially improving outcomes, including survival.
Introduction
Idiopathic inflammatory myopathy (IIM, commonly termed “myositis”) is a chronic multisystem autoimmune condition with a range of manifestations, including muscle inflammation, skin involvement, and interstitial lung disease (ILD)1,2.
Adult-onset IIM is associated with an increased risk of cancer, particularly within the three years prior to and after IIM onset3. Evidence suggests that up to one in four people with IIM are diagnosed with cancer within three years of IIM onset4. Various cancers have been reported, including lung, ovarian, colorectal, lymphoma, breast, and naso-pharyngeal among the most common5. Cancer remains the leading cause of death in adults with IIM4,6-8, likely in part due to delayed diagnosis. IIM-associated cancers are overwhelmingly diagnosed at a late stage; a cohort study identified that 83% of IIM-associated cancers were stage three or four by the time of diagnosis and were associated with a cancer remission rate of only 17%5.
Early detection of cancer is key to improving outcomes. Consensus-based recommendations, based on available evidence, will inform screening for malignancy in patients with IIM, standardise practices across health systems, particularly for patients managed outside specialist IIM centres.
The International Myositis Assessment and Clinical Studies Group (IMACS), the largest international multi-disciplinary group for IIM scientific studies, sponsored a project to develop evidence and consensus-based cancer screening recommendations for patients with IIM. The first component of the project involved conducting a meta-analysis, which aimed to identify IIM-associated cancer risk factors, and a systematic review, which aimed to compile evidence on screening modalities9. The second component of work involved forming an international multidisciplinary “Expert Group” with expertise in IIM and cancer screening, with the aim of developing evidence-based consensus recommendations on screening for IIM-associated cancer, specifically addressing cancer risk stratification, screening modalities, and screening frequency. Herein, we present the methodology and consensus-based recommendations for IIM-associated cancer screening developed by the large multi-disciplinary international Expert Group derived from members of IMACS. These recommendations have been scientifically reviewed by the IMACS Scientific Committee and have been endorsed by the International Myositis Society. They will be revised and endorsed periodically.
Methods
The recommendation formation process was guided by a Steering Committee (N=14), formed by IIM specialists affiliated with IMACS, led by R.A and A.G.S.O.
Evidence collation was carried out via a systematic literature review (SLR), to update the recently published meta-analysis and systematic review9 using the same methodology (study selection, data extraction, quality assessment, data synthesis) and adhering to PRISMA guidelines10 (see acknowledgement section for details of individuals that provided input on the systematic literature review and meta-analysis). Evidence published prior to 1st April 2022 was included.
An international Expert Group, with expertise in IIM and cancer screening, was convened. Eligibility criteria for the Expert Group included: 1) clinical expertise in IIM with 10 or more years’ experience, or 2) one or more publications focused on clinically translational aspects of IIM-associated cancer, or 3) clinical/research expertise in non-IIM-associated cancer screening. The Expert Group comprised a total of 75 individuals, including members of the Steering Committee, but excluding the process leads R. A. and A.G.S.O.. The Expert Group comprised a total of 46 rheumatologists, 12 neurologists, 9 dermatologists, three oncologists with expertise in cancer screening, two pulmonologists with a special interest in IIM, two researchers with expertise in cancer screening implementation, and one paediatric rheumatologist across a total of 22 countries and five continents (North America, South America, Europe, Asia, Australia) (see Supplementary material for composition of Expert Group by specialty and geographical location).
The recommendation formation process followed a modified Delphi Method approach using a series of online surveys. Expert Group members were advised to review evidence contained within the updated SLR and the published meta-analysis9 prior to completing the first survey. The first survey, created by A.G.S.O and R.A. and amended by the Steering Committee, aimed to identify the opinion of the Expert Group regarding IIM-associated cancer risk factors (i.e. factors that are associated with increased cancer risk), “protective factors” (i.e. factors that are associated with reduced cancer risk), and appropriate use of cancer screening modalities. See Supplementary Material for questions comprising the first survey. The Steering Committee created draft recommendations based on responses from the first survey.
Members of the Expert Group were asked to consider individualised cancer risk stratification in comparison to the wider IIM population only, not the general population.
Subsequent surveys asked members of the Expert Group to rate their level of agreement with each draft recommendation on a 1-9 numerical rating scale (1 = “complete disagreement”, 9 = “complete agreement”). The median vote rating for each draft recommendation was calculated and defined a priori as “disagreement” (median vote of 1-3), “uncertainty” (median vote of 4-6), and “consensus” (median vote of 7-9). Expert Group members were able to provide feedback to A.G.S.O. and R.A. on each recommendation. Draft recommendations were amended according to vote ratings and provided feedback, then re-presented to the Expert Group via an online survey. A total of three recommendation voting surveys, in addition to the preliminary survey, were carried out before consensus was reached.
Each recommendation was assigned a strength of recommendation (1 = strong, 2 = conditional); “strong” recommendations are made where the benefits are deemed to clearly outweigh risks, whereas “conditional” recommendations are made when benefits are more balanced with risks.
Each recommendation was assigned a quality of supporting evidence via the Scottish Intercollegiate Guidelines Network (SIGN)11, thus summarising the quality of body of evidence for each recommendation: high (A), moderate (B), low (C), or very low (D), according to Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) methodology.
Three patient partners with adult-onset IIM provided written feedback on the acceptability of the final recommendations and co-authored the final manuscript (one chose to remain anonymous and not be included as a co-author).
The project and final manuscript was reviewed and approved by the IMACS Scientific Committee.
Results
A total of 18 final recommendations were formed, addressing IIM-associated cancer risk stratification (compared to the wider IIM population, not the general population), use of screening modalities, and screening frequency (see Table 1 for summary of recommendations). Regarding strength of recommendation, 13 recommendations were “strong” and five were “conditional”. Quality of supporting evidence was “moderate (B)” for 8 recommendations, “low (C)” for four, and “very low (D)” for three; three further recommendations had no corresponding evidence base and were formed via expert consensus only. No recommendation had “high (A)” quality of supporting evidence. See Supplementary Material for evidence corresponding to each recommendation.
Table 1 -.
Summary of all recommendations from the International Guideline for Idiopathic Inflammatory Myopathy-Associated Cancer Screening
| Recommendation | Strong/ conditional |
Level of evidence (GRADE) † | Consensus | |
|---|---|---|---|---|
| No. responses |
Median score (IQR) |
|||
| 1 - Screening for IIM-associated cancer is not routinely required in patients with juvenile-onset IIM | Strong | Moderate | 62 | 8 (8, 9) |
| 2 - Screening for IIM-associated cancer is not routinely required in patients with verified inclusion body myositis | Strong | Moderate | 62 | 8 (7, 9) |
| 3 - All IIM patients, irrespective of cancer risk, should continue to participate in country/region-specific age and sex appropriate cancer screening programmes | Strong | Moderate | 64 | 9 (9, 9) |
| 4 - All adult patients with new onset IIM should be tested for myositis-specific autoantibodies and myositis-associated autoantibodies to assist stratification of cancer risk. | Strong | Moderate | 64 | 9 (8, 9) |
| 5 - Underlying cancer risk of adult IIM patients should be stratified according to IIM subtype, autoantibody status, and clinical features in the following manner: High risk -
Intermediate risk -
Low risk -
|
Strong | Moderate | 52 | 8 (7, 9) |
| 6 - Adult IIM patients with two or more “high risk” factors (subtype, autoantibody, or clinical feature) should be considered to have a “high risk for IIM-related cancer”. § | Strong | Moderate | 67 | 8 (8, 9) |
| 7 - Adult IIM patients with two or more “intermediate risk” factors (subtype, autoantibody, or clinical feature) or only one “high risk” factor (subtype, autoantibody, or clinical feature) should be considered to have an “moderate risk for IIM-related cancer”. § | Strong | Moderate | 67 | 7 (7, 9) |
| 8 - Adult IIM patients that do not fulfil the “high” or “moderate risk” definitions should be considered to have “standard risk for IIM-related cancer”. § | Strong | Moderate | 67 | 8 (7, 9) |
9 - “Basic cancer screening” should include the following investigations (in addition to country/region-specific age and gender appropriate cancer screening programmes for the general population):
|
Strong | Low | 50 | 7 (6, 8) |
10 - “Enhanced cancer screening” should include the following investigations:
*If not already part of country/region-specific age and sex appropriate screening programmes. |
Strong | Low | 51 | 8 (7, 8) |
| 11 - Adult IIM patients at “standard risk of IIM-related cancer” should undergo “basic cancer screening” at the time of IIM diagnosis. This is in addition to country/region-specific age and sex appropriate screening programmes for the general population. | Strong | NA* | 67 | 8 (7, 9) |
| 12 - Adult IIM patients at “moderate risk of IIM-related cancer” should undergo “basic screening” and “enhanced screening” at the time of IIM diagnosis. | Strong | NA* | 66 | 8 (7, 9) |
| 13 - Adult IIM patients at “high risk of IIM-related cancer” should undergo “enhanced screening” and “basic screening” at the time of diagnosis and “basic screening” annually for three years. | Strong | NA* | 67 | 8 (7, 9) |
| 14 - Clinicians should consider carrying out an 18F-FDG PET/CT scan for adult IIM patients at “high risk of IIM-related cancer” where underlying cancer has not been detected by investigations at the time of IIM diagnosis. | Conditional | Low | 67 | 8 (7, 9) |
| 15 - Clinicians should consider carrying out an 18F-FDG PET/CT scan as a single screening investigation for anti-TIF1-gamma positive DM patients with disease onset >40 years with ≥1 additional high risk clinical feature. | Conditional | Low | 67 | 8 (7, 9) |
| 16 - Clinicians should consider carrying out upper and lower gastro-intestinal endoscopy for adult IIM patients at “high risk of IIM-related cancer” where underlying cancer has not been detected by investigations at the time of IIM diagnosis. | Conditional | Very low | 67 | 8 (7, 9) |
| 17 - Clinicians should consider carrying out naso-endoscopy at the time of diagnosis in adult IIM patients in geographical regions where risk of nasopharyngeal carcinoma is increased. | Conditional | Very low | 67 | 8 (7, 9) |
18 - Clinicians should consider cancer screening in all IIM patients with the following “red-flag” symptoms/clinical features, regardless of risk category:
|
Conditional | Very low | 66 | 9 (7, 9) |
According to Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) methodology
IQR = interquartile range
DM = dermatomyositis
PM = polymyositis
IMNM = immune-mediated necrotising myopathy
CADM = clinically amyopathic dermatomyositis
NXP2 = nuclear matrix protein 2
TIF1-gamma = transcriptional intermediary factor 1
SAE1 = small ubiquitin-like modifier-1 activating enzyme
HMGCR = 3-hydroxy 3-methylutaryl coenzyme A reductase
MDA5 = melanoma differentiation-associated gene 5
IIM = idiopathic inflammatory myopathy
SRP = signal recognition particle
ASSD = anti-synthetase syndrome
RNP = ribonucleoprotein
CT = computed tomography
USS = ultrasound scan
18F-FDG PET/CT = [18F]-fluoro-deoxy-glucose positron emission tomography/computed tomography
These recommendations had no corresponding evidence base and were formed via expert consensus only
Risk categories are in comparison to the IIM population, not the general population
Each recommendation is followed by details relating to: strength of recommendation (i.e. 1 = strong, 2 = conditional), quality of supporting evidence (GRADE level), the number of votes, and the median vote rating with the inter-quartile range (IQR).
1 - Screening for IIM-associated cancer is not routinely required in patients with juvenile-onset IIM
1, B, 62, 8 (8, 9)
Current evidence indicates that cancer risk is not increased in patients with juvenile-onset IIM12-18. Therefore, routine cancer screening was not deemed necessary by the Expert Group. Clinicians should, however, be vigilant for features suggestive of underlying cancer in patients with juvenile-onset IIM, including abnormal complete blood count, unexplained weight loss, fevers, and splenomegaly/lymphadenopathy.
2 - Screening for IIM-associated cancer is not routinely required in patients with verified inclusion body myositis
1, B, 62, 8 (7, 9)
Existing evidence indicates that inclusion body myositis (IBM) is not associated with an increased risk of cancer4,19. In particular, a nationwide Norwegian-based cohort study by Dobloug et al calculated a cancer standardised incidence rate of 1.0 (95% confidence interval 0.6, 2.1) in 100 IBM cases, indicating a cancer risk similar to the general population4. However, emerging evidence suggests a potential association between IBM and T cell large granular lymphocytic leukaemia20,21; ongoing research may further delineate this association and potentially inform the need for screening.
3 - All IIM patients, irrespective of cancer risk, should continue to participate in country/region-specific age and sex appropriate cancer screening programmes
1, B, 64, 9 (9, 9)
It is imperative that all IIM patients, including those with juvenile-onset IIM and IBM, continue to participate in population-level cancer screening programmes, such as mammography for breast cancer, pelvic exam/smear test for cervical cancer, and low radiation dose chest CT scanning for lung cancer, available in their country/region, according to their age and sex22. These recommendations aim to facilitate detection of IIM-associated cancers above and beyond the general population screening guidelines. Moreover, these recommendations are not tailored to detect cancers that may occur due to non-IIM-associated risk factors for which certain countries/regions may have instigated screening programmes.
4 - All adult patients with new onset IIM should be tested for myositis-specific autoantibodies and myositis-associated autoantibodies to assist stratification of cancer risk.
1, B, 64, 9 (8, 9)
Myositis-specific autoantibodies (MSA) can aid risk stratification for IIM-associated cancer, diagnosis, prediction of clinical manifestations, and aid management decisions. A variety of methods are available for MSA detection and clinicians should interpret results in the context of potential limitations, especially false positivity/negativity.
5 - Underlying cancer risk of adult IIM patients should be stratified according to subtype, autoantibody status, and clinical features in the following manner:
High risk -
Dermatomyositis (DM)
Anti-transcriptional intermediary factor 1 gamma (anti-TIF1-gamma) positivity
Anti-NXP2 positivity
Age >40 years at the time of onset
Features of persistent high disease activity despite immunosuppressive therapy (including relapse of previously controlled disease)
Dysphagia (moderate to severe)
Cutaneous necrosis/ulceration
Intermediate risk -
Clinically amyopathic dermatomyositis
Polymyositis (PM)
Immune-mediated necrotising myopathy (IMNM)
Anti-small ubiquitin-like modifier-1 activating enzyme (anti-SAE1) positivity
Anti-3-hydroxy 3-methylutaryl coenzyme A reductase (anti-HMGCR) positivity
Anti-Mi2 positivity
Anti-melanoma differentiation-associated gene 5 (anti-MDA5) positivity
Male sex
Low risk -
Anti-synthetase syndrome (ASSD)
Overlap IIM/connective tissue disease-associated myositis
Anti-signal recognition particle (anti-SRP) positivity
Anti-Jo1 positivity
Non-Jo1 ASSD antibody positivity
Myositis-associated antibody positivity (PM-Scl, Ku, anti-ribonucleoprotein [anti-RNP], Ro/La [SSA/B])
Raynaud’s phenomenon
Inflammatory arthropathy
ILD
1, B, 52, 8 (7, 9)
6 - Adult IIM patients with two or more “high risk” factors (subtype, autoantibody, or clinical feature) should be considered to have a “high risk for IIM-related cancer”.
1, B, 67, 8 (8, 9)
7 - Adult IIM patients with two or more “intermediate risk” factors (subtype, autoantibody, or clinical feature) or only one “high risk” factor (subtype, autoantibody, or clinical feature) should be considered to have an “moderate risk for IIM-related cancer”.
1, B, 67, 7 (7, 9)
8 - Adult IIM patients that do not fulfil the “high” or “moderate risk” definitions should be considered to have “standard risk for IIM-related cancer”.
1, B, 67, 8 (7, 9)
Recommendations have been formed that allow clinicians to stratify an individual patient’s risk of IIM-associated cancer. The Expert Group formed an initial recommendation that identifies IIM subtypes, autoantibodies, and clinical features associated with “high”, “intermediate”, and “low” risk of IIM associated cancer. The Expert Group also formed three subsequent recommendations that allow clinicians to assign an individual patient as having “high”, “moderate”, or “standard” overall risk of IIM-associated cancer, based on their IIM subtype, autoantibody status, and clinical features. It is important to note that these risk categories are in comparison to the overall IIM population, not the general population; indeed, those with “standard” risk of IIM-associated cancer will likely have a higher risk compared to the general population. Empirical comparison of cancer risk between the standard risk group and the general population has not yet been carried out and is clearly warranted.
Seven high risk factors (one subtype, two autoantibodies, four clinical features) were identified by the Expert Group. Dermatomyositis (DM) is consistently associated with the highest cancer risk, compared to other subtypes; our recent meta-analysis identified a risk ratio (RR) of 2.21 (95% CI 1.78, 2.77), indicating that DM cancer risk is more than double that of other IIM subtypes. A large number of observational studies exist that detail cancer risk for each IIM subtype. A large body of evidence has characterised the high cancer risk associated with anti-TIF1-gamma positivity, hence inclusion as a high risk factor with a RR of 4.68, indicating that risk of cancer is over four times higher for adults with anti-TIF1-gamma positive IIM, compared to those that are anti-TIF1-gamma negative. Anti-NXP2 positivity has also been associated with increased risk of cancer, however it is considered lower risk than that of anti-TIF1-gamma. It is important to note that a number of studies associating anti-NXP2 positivity with increased risk of cancer employed the general population, not an IIM cohort, as a comparator group23,24. Our meta-analysis, which employed the wider IIM cohort as a comparator group, identified no association of anti-NXP2 positivity with cancer (RR 1.16, 95% CI 0.73, 1.87)9. However, the Expert Group deemed the available evidence sufficient to categorise anti-NXP2 positivity as a high risk factor. Older age at time of IIM onset is associated with increased cancer risk. Selection of a specific age threshold is challenging due to the probable incremental risk that older age of IIM-onset confers; a threshold of 40 years was chosen due to the clear age cut-off for cancer development identified in studies of anti-TIF1-gamma positive adults25,26. It is important to note that no clear age cut-off has been established in the context of other autoantibody profiles and an incremental risk with increasing age is likely, however the 40 year threshold was selected for clarity across all patients regardless of clinical features and autoantibody status. The accuracy of this age threshold will be assessed in future research into the utility of the guideline. Features of persistent high disease activity despite immunosuppressive therapy was deemed by the Expert Group to be associated with a high risk of cancer. Evidence exists to support the relationship between persistent high disease activity, including myositis and skin involvement27-29, and increased cancer risk, especially when associated with anti-TIF1-gamma positivity; however overall the body of evidence is limited. Dysphagia, especially when treatment-refractory, has been associated with cancer, hence being deemed a high risk factor by the Expert Group. The mechanism between dysphagia and increased IIM-associated cancer risk is not clear, however may represent a manifestation of persistent high disease activity. Finally, cutaneous necrosis/ulceration, which has been associated with increased risk of cancer, potentially due to the association with severe refractory DM, was deemed a high risk factor by the Expert Group.
Eight intermediate risk factors (three subtypes, four autoantibodies, one clinical feature) were identified by the Expert Group. The subtypes clinically amyopathic DM (CADM), polymyositis (PM), and immune-mediated necrotising myopathy (IMNM) were assigned as being associated with intermediate cancer risk; evidence suggests that the risk of cancer in these IIM subtypes is lower than that of DM, but higher than that of anti-synthetase syndrome (ASSD) and “overlap IIM”. Definition of PM is challenging with recent studies indicating patients may be more appropriately classified as other IIM subtypes such as IBM, IMNM, and ASSD30,31. PM is still a commonly diagnosed condition however, therefore the Expert Group agreed its inclusion as an intermediate cancer risk factor. CADM is less commonly associated with cancer, compared to DM, however the evidence base is limited. Overall, IMNM was classified as an intermediate cancer risk factor by the Expert Group. Recognising the results of a study by Allenbach et al32, the Expert Group deemed it appropriate to distinguish cancer risk for IMNM patients according to MSA positivity, with anti-HMGCR positivity assigned as an “intermediate” risk factor and anti-SRP positivity a “low” risk factor. The study by Allenbach et al, however, identified different cancer risks for anti-SRP, anti-HMGCR, and autoantibody negative IMNM cohorts using the general population, not an IIM cohort, as a comparator group. Male sex, anti-MDA5, anti-Mi2, and anti-SAE1 positivity were assigned as “intermediate” risk factors by the Expert Group in light of the results of our meta-analysis. In particular, anti-MDA5, anti-Mi2, and anti-SAE1 positivity were assigned as intermediate risk factors due to their non-significant association with cancer in the meta-analysis and in comparison to the significantly reduced cancer risk associated with anti-Jo1.
Nine low risk factors (two subtypes, four autoantibodies, three clinical feature) were identified by the Expert Group. Our meta-analysis and other evidence indicates a low risk of cancer for patients with ASSD, ASSD-associated clinical features (i.e. ILD, inflammatory arthropathy, and Raynaud’s phenomenon), and MSAs (i.e. anti-Jo1), and patients with overlap/CTD-associated IIM.
Three recommendations address estimation of risk of IIM-associated cancer according to combination of IIM subtype, clinical features, and MSAs: patients with two high risk factors are deemed to have high risk, patients with one high risk factor or two intermediate risk factors are deemed to have moderate risk, and the remainder have standard risk. It is important to note that this combination is based on expert opinion and available observational evidence, rather than empirical evidence quantifying cancer risk according to each combination. Examples of individual patient IIM-associated cancer risk stratification below illustrate the implementation of these recommendations:
Example 1:
A 70 year old female with anti-NXP2 positive DM who initially developed symptoms 6 months previously would be classified as having “high” risk, due to fulfilment of three individual high risk factors (DM, anti-NXP2 positivity, age >40 years at the time of onset).
Example 2:
A 52 year old female with anti-HMGCR positive IMNM who developed symptoms three months previously would be classified as having “moderate” risk, due to fulfilment of two individual intermediate risk factors (IMNM, anti-HMGCR positivity).
Example 3:
A 26 year old male with anti-Jo1 positive ASSD who developed. symptoms two months previously would be classified as having “standard” risk, due to non-fulfilment of moderate or high risk criteria.
9 - “Basic cancer screening” should include the following investigations (in addition to country/region-specific age and sex appropriate cancer screening programmes for the general population):
Comprehensive history
Comprehensive physical examination
Complete blood count
Serum liver function tests
Serum erythrocyte sedimentation rate/plasma viscosity
Serum C-reactive protein
Serum protein electrophoresis and free light chains measurement
Urinalysis
Plain chest X-ray radiograph (CXR)
1, C, 50, 7 (6, 8)
10 - “Enhanced cancer screening” should include the following investigations:
Computed tomography (CT) scan of the neck, thorax, abdomen, and pelvis
Cervical screening (i.e. smear test)*
Mammography*
Prostate-specific antigen (PSA) blood test*
CA-125 blood test
Pelvic/trans-vaginal ultra sound scan (USS) for ovarian cancer
Faecal occult blood*
*If not already part of country/region-specific age and sex appropriate screening programmes.
1, C, 51, 8 (7, 8)
11 - Adult IIM patients at “standard risk of IIM-related cancer” should undergo “basic cancer screening” at the time of IIM diagnosis. This is in addition to country/region-specific age and sex appropriate screening programmes for the general population.
1, NA, 67, 8 (7, 9)
12 - Adult IIM patients at “moderate risk of IIM-related cancer” should undergo “basic screening” and “enhanced screening” at the time of IIM diagnosis.
1, NA, 66, 8 (7, 9)
13 - Adult IIM patients at “high risk of IIM-related cancer” should undergo “enhanced screening” and “basic screening” at the time of diagnosis and “basic screening” annually for three years.
1, NA, 67, 8 (7, 9)
The Expert Group deemed it appropriate to form two “panels” of screening approaches/modalities - basic and enhanced, beyond age and gender based general population screening. The basic screening panel aims to facilitate clinicians’ ability to identify clinical features potentially consistent with IIM-associated cancer, such as iron deficiency anaemia indicating colon cancer, monoclonal gammopathy indicating multiple myeloma, and CXR-visible lung cancer.
The enhanced screening panel was formulated to facilitate the identification of the most common IIM-associated cancers, such as breast, lung, and ovarian cancer. Patients may have undergone a number tests as part of country/region-specific age and sex appropriate screening programmes, such as mammography or prostate-specific antigen (PSA) level measurement; clinicians should balance the benefits of repeating such investigations against risks on an individual patient basis in the context of cancer risk. Clinicians should also consider the potential increased cancer risk due to investigations that involve radiation exposure, such as CT-based investigations.
The Expert Group formed recommendations relating to the timing and frequency of carrying out basic and enhanced screening according to IIM-associated cancer risk category (see Figure 1 for flowchart detailing risk stratification). Screening should be carried out for patients diagnosed within three years after IIM symptom onset; recommendations therefore do not apply to those diagnosed after this time period. These recommendations are based on expert opinion only; no study has empirically investigated the utility of the timing and frequency of these specific panels of basic and enhanced screening, hence the inability to ascribe an evidence quality grading.
Figure 1 – Flowchart of cancer risk stratification and frequency of screening.

Abbreviations:
DM = dermatomyositis
PM = polymyositis
IMNM = immune-mediated necrotising myopathy
CADM = clinically amyopathic dermatomyositis
NXP2 = nuclear matrix protein 2
TIF1-gamma = transcriptional intermediary factor 1
SAE1 = small ubiquitin-like modifier-1 activating enzyme
HMGCR = 3-hydroxy 3-methylutaryl coenzyme A reductase
MDA5 = melanoma differentiation-associated gene 5
IIM = idiopathic inflammatory myopathy
SRP = signal recognition particle
ASSD = anti-synthetase syndrome
RNP = ribonucleoprotein
CT = computed tomography
USS = ultrasound scan
18F-FDG PET/CT = [18F]-fluoro-deoxy-glucose positron emission tomography/computed tomography
Recommendations apply only to adult patients diagnosed with IIM within the three year period after symptom onset
14 - Clinicians should consider carrying out an 18F-FDG PET/CT scan for adult IIM patients at “high risk of IIM-related cancer” where underlying cancer has not been detected by investigations at the time of IIM diagnosis.
2, C, 67, 8 (7, 9)
15 - Clinicians should consider carrying out an 18F-FDG PET/CT scan as a single screening investigation for anti-TIF1-gamma positive DM patients with disease onset >40 years with ≥1 additional high risk clinical feature.
2, C, 67, 8 (7, 9)
A growing body of evidence demonstrates the utility of 18F-FDG PET/CT as a screening modality for IIM-associated cancer33-37. The Expert Group deemed it appropriate to form a conditional recommendation relating to the use of 18F-FDG PET/CT scanning as a screening method only in those with “high” risk of cancer where basic and enhanced panels have not identified a cancer, especially if lymphoma is suspected. Evidence has also shown that 18F-FDG PET/CT can identify cancers at a comparable rate to a large number of conventional screening investigations, including complete physical examination, laboratory tests (complete blood count and serum chemistry panel), thoraco-abdominal CT scan, tumour markers (CA125, CA19-9, CEA, PSA), gynaecological examination, ovarian ultrasonography and mammography34. The Expert Group therefore agreed that 18F-FDG PET/CT could be considered as a single screening method in patients with DM onset >40 years with anti-TIF1-gamma positivity and ≥1 additional high risk clinical feature, thus potentially facilitating an earlier diagnosis and the need for fewer investigations. Clinicians should, however, balance the increased cancer risk attributed to 18F-FDG PET/CT-related radiation exposure against the benefit of potential cancer detection. The Expert Group also acknowledged that 18F-FDG PET/CT may not be available in all healthcare systems.
16 - Clinicians should consider carrying out upper and lower gastro-intestinal endoscopy for adult IIM patients at “high risk of IIM-related cancer” where underlying cancer has not been detected by investigations at the time of IIM diagnosis.
2, D, 67, 8 (7, 9)
The gastro-intestinal (GI) tract is a common site of cancer in people with IIM-associated cancer. Evidence relating to the utility of upper and lower GI endoscopy as a cancer screening modality in patients with IIM is limited and confers potential risks (e.g. bowel perforation), thus resulting in the Expert Group forming a conditional recommendation33,38,39. Upper and lower GI endoscopy should be considered after other cancer screening investigations, including basic and enhanced screening panels, have been carried out in adult IIM patients at high risk of IIM-related cancer. The Expert Group recognised that upper and/or lower GI endoscopy may be carried out as part of country/region-specific age and sex appropriate cancer screening programmes.
17 - Clinicians should consider carrying out naso-endoscopy at the time of diagnosis in adult IIM patients in geographical regions where risk of nasopharyngeal carcinoma is increased.
2, D, 67, 8 (7, 9)
Nasopharyngeal cancer is a leading site of IIM-associated cancer in certain populations, especially those of East Asian and South-East Asian heritage; a recent meta-analysis estimated nasopharyngeal cancer prevalence in adults with DM of 37% in Hong Kong, 28% in Malaysia, and 12% in Singapore40. Consideration of naso-endoscopy is therefore advocated as a cancer screening modality for patients at high risk of nasopharyngeal cancer.
18 - Clinicians should consider cancer screening in all IIM patients with the following “red-flag” symptoms/clinical features, regardless of risk category:
Unintentional weight loss
Family history of cancer
Smoking
Unexplained fever
Night sweats
2, D, 66, 9 (7, 9)
The Expert Group recognised that identification of certain “red-flag” symptoms/clinical features may aid clinicians in identifying patients with underlying IIM-associated cancer. Clinicians should identify organ-specific features of cancer during the comprehensive history and examination (recommendation 9), such as haemoptysis (i.e. lung cancer) and dysphagia (i.e. oesophageal cancer).
Discussion
The International Guideline for IIM-Associated Cancer Screening provides, for the first time, evidence supported and consensus-based recommendations addressing individual patient IIM-associated cancer risk stratification, cancer screening modalities, and screening frequency.
The recommendations provide practical guidance for clinicians serving IIM populations across varying countries and health systems. Implementation of the recommendations aim to facilitate early IIM-associated cancer detection, especially in those with high risk, thus potentially improving outcomes, including survival. The recommendations can help standardise cancer screening practices for IIM patients across the globe, especially benefitting those without access to specialist services. Recommendations can foster open and clear clinician-patient discussions regarding individualised cancer risk and facilitate shared decision making.
There are a number of strengths of this guideline. Firstly, recommendations were developed via a process that assimilated current evidence, results of a meta-analysis, and experts’ experience and expertise, thus maximising the applicability of recommendations into clinical care. Secondly, recommendations were formed by a large (N=75) Expert Group with academic expertise in IIM management (rheumatology, neurology, respiratory medicine, and dermatology) and cancer screening. Members of the Expert Group were located in a wide variety of countries with varying health systems and populations, thus ensuring international applicability. Thirdly, formation of recommendations via an online questionnaire using the Delphi process conferred a number of benefits: 1) assurance of anonymity, thus reducing peer influence, 2) equal weighting of each response, 3) practicality of response collation, thus facilitating involvement of international Expert Group members without the need for a face-to-face meeting. Finally, input from three patient partners allowed for the guidelines to be assessed from a practical perspective with the added benefit of improving engagement and integration into clinical systems.
This study has a number of limitations. Firstly, the evidence base pertaining to the utility of IIM-associated cancer screening approaches is markedly limited, thus reducing the strength of recommendations. Indeed, no recommendation had “high (A)” quality of supporting evidence, thus highlighting the pressing need for high quality studies that can strengthen the evidence base and inform future iterations of this guideline. Secondly, although the Expert Group comprised members from 22 countries, geographic diversity was limited with representation from a limited number of countries/regions (27 members from USA, 30 from Europe). Specifically, no Expert Group member practiced in any country from Africa, only one member was from China, one from South America, and no members were from Indonesia or Pakistan, which have the fourth and fifth largest populations in the world. This disparity illustrates the international distribution of IIM specialists and future iterations of this guideline should ensure wider inclusion, where possible. Indeed, implementation of recommendations may not be possible in all countries and health systems, especially in resource-challenged areas; future iterations of the guideline should aim to address identified disparities. Finally, the definition of cancer risk groups was based on available evidence, not empirical research. Future research focusing upon the ability of the risk stratification groups to accurately differentiate and predict cancer development is warranted and will influence subsequent iterations of this guideline.
The guideline development process has highlighted a number of unmet needs, thus facilitating the formation of a research agenda. Firstly, the utility of the cancer screening recommendations have not been empirically investigated; research addressing this topic could guide future iterations and improve clinicians’ ability to detect cancer. Secondly, no study investigated the utility of repeated screening or determined optimal screening frequency; research specifically addressing the optimal frequency and/or interval of screening, especially CT scanning of the thorax, abdomen, and pelvis, could greatly enhance cancer detection. Thirdly, future research investigating complications or harm resulting from this guideline’s recommendations is vital; for example, identification of the number of false-positive cancer diagnoses and any resulting harm via recommended screening will be key in the formation of future iterations of the guideline.
It is anticipated that revision of this guideline after a five year period will be appropriate, thus allowing inclusion of emerging research and findings into the evidence base upon which recommendations can be revised and created.
An audit tool, developed by the Steering Committee, is included (Supplementary Material) to allow clinicians and clinical teams to measure their concordance with recommendations, thus aiding service quality improvement.
In conclusion, this International Guideline for IIM-Associated Cancer Screening provides guidance to clinicians and patients regarding individual patient risk stratification, cancer screening modalities, and screening frequency. The guideline standardises patient care and provides a foundation upon which future IIM-cancer screening research can build.
Supplementary Material
Acknowledgements
This study was developed and conducted under the auspices of the International Myositis Assessment and Clinical Studies Group (IMACS). R.A. conceived the guideline development process. A.G.S.O carried out survey question design, distribution, and response collation. A.G.S.O and R.A. led preparation of the manuscript, which was critically appraised and amended by all co-authors. All co-authors completed surveys that led to recommendation formation.
The authors would like to acknowledge the input of the following, who provided input on the systematic literature review and meta-analysis, which formed as key evidence for recommendation development: Dr Andrew B. Allard, Dr Michael D. George, Dr Kate Kolstad, Dr Drew J. B. Kurtzman, and Dr Anna Postolova.
The authors would like to acknowledge the invaluable input from three patient partners (two listed as authors, one anonymous) during the guideline planning, development, and manuscript writing.
The authors would like to thank members of the IMACS Scientific Committee for critical reading of the manuscript.
The authors would like to thanks Dr Hanna Kim and Dr Iago Pinal Fernández for critical reading the manuscript and providing helpful comments as part of the NIH internal review process.
Funding
This report includes independent research supported by the National Institute for Health Research Biomedical Research Centre Funding Scheme. The views expressed in this publication are those of the authors and not necessarily those of the National Health Service, the National Institute for Health Research or the Department of Health and Social Care.
A.G.S.O is supported by funding from the National Institute for Health Research Clinical Lectureship Scheme.
A.G.S.O, H.C., E.J.C., D.G.R.E., L.McW., and P.A.J.C are supported by the NIHR Manchester Biomedical Research Centre (NIHR203308).
P.M.M is supported by funding from the National Institute for Health Research University College London Hospitals Biomedical Research Centre.
S.T. is supported by funding from the Bath Institute of Rheumatic Diseases.
E.J.C. is supported by a National Institute for Health Research Advanced Fellowship (NIHR300650).
This research was supported in part by the Intramural Research Programs of the NIH, National Institute of Environmental Health Sciences (to L.G.R., F.W.M., and A.S.), and National Institute of Arthritis and Musculoskeletal and Skin Diseases (to A.M.).
J.J.P. is supported by funding from the NIH (K23AR073927).
M.VDM. is supported by funding from Fondo de Desarrollo Cientifico (FODECIJAL) 2019 from Consejo Estatal de Ciencia y Tecnología de Jalisco (COECYTJAL, 1702512-8152).
J.V. is supported by funding from the Czech Ministry of Health - Conceptual Development of Research Organization 00023728 (Institute of Rheumatology).
International Myositis Assessment and Clinical Studies Group Cancer Screening Expert Group
Anthony A. Amato 18, 23, Helena Andersson 24, Lilia Andrade-Ortega 25, 26, Dana Ascherman 22, Olivier Benveniste 27, 28, Lorenzo Cavagna 29, 30, Christina Charles-Shoeman 31, Benjamin F. Chong 32, Lisa Christopher-Stine 33, Jennie T. Clarke 34, Emma J. Crosbie 1, 35, 36, Philip A. J. Crosbie 1, 37, Sonye Danoff 38, Maryam Dastmalchi 39, Marianne De Visser 40, Paul Dellaripa 18, 41, Louise Pyndt Diederichsen 42, 43, Mazen M. Dimachkie 44, Erik Ensrud 45, Floranne Ernste 46, D. Gareth R. Evans 1, 47, Manabu Fujimoto 48, Ignacio Garcia-De La Torre 49, Abraham Garcia-Kutzbach 50, Zoltan Griger 51, Latika Gupta 3, 52, 53, Marie Hudson 54, Florenzo Iannone 55, David Isenberg 10, 12, 56, Joseph Jorizzo 57, Helen Kurtz 58, Masataka Kuwana 59, Vidya Limaye 60, 61, Ingrid E. Lundberg 39, Andrew L. Mammen 33, 62, Herman Mann 63, 64, Frank Mastaglia 65, Lorna McWilliams 1, 66, Christopher A. Mecoli 33, Federica Meloni 29, 67, Frederick W. Miller 68, Siamak Moghadam-Kia 22, Sergey Moiseev 69, Yoshinao Muro 70, Melinda Nagy-Vincze 71, Clive Nayler 58, Merrilee Needham 72, 73, 74, Ichizo Nishino 75, 76, Chester V. Oddis 22, Julie J. Paik 33, Joost Raaphorst 40, Lisa G. Rider 68, Jorge Rojas-Serrano 77, 78, Lesley Ann Saketkoo 79, 80, 81, 82, Adam Schiffenbauer 68, Samuel Katsuyuki Shinjo 83, Vineeta Shobha 84, Yeong-Wook Song 85, Tania Tillett 86, Yves Troyanov 87, 88, Anneke J. van der Kooi 40, Mónica Vázquez-Del Mercado 89, 90, Jiri Vencovsky 63, 64, Qian Wang 91, Steven Ytterberg 46
23 Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
24 Department of Rheumatology, Oslo University Hospital, Oslo, Norway
25 Department of Rheumatology, Centro Médico Nacional 20 de Noviembre, ISSSTE, Mexico City, México
26 Universidad Nacional Autónoma de México, Mexico City, México
27 Department of Internal Medicine and Clinical Immunlogy, Assistance Public Hôpitaux de Paris, Paris, France
28 Sorbonne Université, Pitié-Salpêtrière University Hospital, Paris, France
29 Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
30 Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
31 Department of Medicine, Division of Rheumatology, University of California, Los Angeles, California, USA
32 Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
33 Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
34 Department of Dermatology, University of Utah School of Medicine, Salt Lake City, Utah, USA
35 Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
36 Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
37 Division of Infection, Immunity, and Respiratory Medicine, University of Manchester, Manchester, UK
38 Department of Medicine, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
39 Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, and Karolinska University Hospital, Stockholm, Sweden
40 Department of Neurology, Amsterdam University Medical Centres, locatie AMC, University of Amsterdam, Neuroscience institute, Amsterdam, Netherlands
41 Division of Rheumatology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
42 Centre for Rheumatology and Spine Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
43 Department of Rheumatology, Odense University Hospital, Odense, Denmark
44 Department of Neurology, The University of Kansas Medical Center, Kansas City, Kansas, USA
45 Department of Neurology, Department of Physical Medicine and Rehabilitation, University of Missouri School of Medicine, Columbia, Missouri, USA
46 Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
47 Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, Division of Evolution and Genomic Medicine, University of Manchester, St Mary’s Hospital, Manchester Universities NHS Foundation Trust, Manchester, UK
48 Department of Dermatology, Osaka University Graduate School of Medicine, Osaka, Japan
49 Department of Immunology and Rheumatology, Hospital General de Occidente and Universidad de Guadalajara, Guadalajara, Mexico
50 Internal Medicine Rheumatology Secion, Francisco Marroquín University, Guatemala City, Guatemala
51 Division of Clinical Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
52 Department of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK
53 Department of Rheumatology, City Hospital, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
54 Division of Rheumatology and Department of Medicine, Jewish General Hospital and McGill University, Montreal, Canada
55 Rheumatology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
56 Department of Rheumatology, University College London Hospitals NHS Foundation Trust, London, UK.
57 Wake Forest University School of Medicine, Winston Salem, North Carolina, USA
58 Patient Partner
59 Department of Allergy and Rheumatology, Nippon Medical School, Tokyo, Japan
60 Rheumatology Department, Royal Adelaide Hospital, Adelaide, South Australia, Australia
61 Discipline of Medicine, University of Adelaide, Adelaide, South Australia, Australia
62 Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
63 Institute of Rheumatology, Prague, Czech Republic
64 Department of Rheumatology, 1st Medical Faculty, Charles University, Prague, Czech Republic
65 Perron Institute for Neurological and Translational Science, Perth, Western Australia, Australia
66 Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
67 Respiratory Disease Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
68 Environmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, Maryland, USA
69 Tareev Clinic of Internal Diseases, Sechenov First Moscow State Medical University, Moscow, Russia
70 Department of Dermatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
71 Division of Clinical Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
72 Department of Neurology, Fiona Stanley Hospital, Perth, Western Australia, Australia
73 Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, Western Australia, Australia
74 School of Medicine, University of Notre Dame, Fremantle, Perth, Western Australia, Australia
75 Department of Neuromuscular Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
76 Department of Genome Medicine Development, Medical Genome Center, National Center of Neurology and Psychiatry, Tokyo, Japan
77 Clínica de Reumatología, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico
78 Programa de Maestría y Doctorado en Ciencias Médicas, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
79 Scleroderma and Sarcoidosis Patient Care and Research Center, Department of Medicine, Section of Rheumatology, LSU Health Sciences Center, New Orleans, Louisiana, USA
80 Comprehensive Pulmonary Hypertension Center, University Medical Center, New Orleans, Louisiana, USA
81 Tulane University School of Medicine, New Orleans, Louisiana, USA
82 Louisiana State University School of Medicine, New Orleans, Louisiana, USA
83 Division of Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
84 Department of Clinical Immunology and Rheumatology, St John’s Medical College Hospital, St John’s National Academy of Medical Sciences, Bangalore, India
85 Department of Internal Medicine, College of Medicine, Medical Research Center, Institute of Human-Environment Interface Biology, Seoul National University, Seoul, South Korea
86 Department of Oncology, Royal United Hospitals NHS Foundation Trust Bath, Bath, UK
87 Department of Medicine, University of Montreal, Montreal, Québec, Canada
88 Division of Rheumatology, Hôpital du Sacré-Coeur, Montreal, Québec, Canada
89 Servicio de Reumatología, Hospital Civil Dr. Juan I. Menchaca, Guadalajara, Mexico
90 Instituto de Investigación en Reumatología y del Sistema Músculo Esquelético, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
91 Department of Rheumatology and Clinical Immunology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
Footnotes
A list of authors and their affiliations appears at the end of the paper.
Competing interests
R.A. served as a consultant for Kezar, Csl Behring, AstraZeneca, Octapharma, BMS, Pfizer, Janssen, Mallinckrodt, Alexion, Q32, argenx, Boehringer-Ingelheim, Corbus, and EMD-Serono; and received research funding from Pfizer, BMS, Genentech, Kezar, Csl Behring, and Mallinckrodt.
L.C. (Lorinda Chung) receives funding from Boerhinger Ingelheim; served on an advisory board for Eicos Sciences and Mitsubishi Tanabe; received consulting fees from Kyverna, Jasper, and Genentech.
P.M.M. received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche, and UCB, outside the submitted work.
R.A.V. received a research grant from Pfizer.
H.C. received research grants, travel grants, consultancy or speaker honoraria from AbbVie, Amgen, BMS, Biogen, Janssen, Lilly, Novartis, and UCB.
V.P.W. served as a consultant for Kezar, CSL Behring, AstraZeneca, Octapharma, Pfizer, Janssen, Neovacs, and Idera; and received research funding from Pfizer, CSL Behring, and Corbus.
L.A.O. received consulting/speake´s fees from Abbvie, BMS, Boehringer Ingelheim, Eli Lilly, Janssen, Novartis, Pfizer, and Roche, outside the submitted work.
J.P.C. owns stock in trust accounts in the following companies: Abbvie, Abbott Laboratories, Amgen, Allergan, Celgene, 3M, Merck, Johnson and Johnson, Proctor and Gamble, Pfizer, Gillead, Walgreens and CVS. In addition, he served on a Safety Monitoring committee for Principia Biopharma and as an adjudicator for study entry for EMD Serono and Biogen.
C. C-S. has served as a consultant for Abbvie, Gilead, Octapharma, Pfizer, and Regeneron-Sanofi and has received research funding from Abbvie, Bristol-Myers Squibb, Octapharma, and Pfizer.
B.F.C. served as a consultant for Biogen Inc., Bristol Meyers Squibb, Horizon Therapeutics, EMD Serono, and Bristol Meyers Squibb, and received research funding from Daavlin Company. He is an investigator for Pfizer Inc. and Biogen Inc.
P.F.D. works for UpToDate, serves on an FDA Advisory committee, has received research grants in the past 3 years from Genentech and Bristol Myers, and was on an unpaid advisory group for Boehringer Ingelheim
L.P.D. received speaker honoraria from Boehringer Ingelheim and has served on a data safety monitoring board for Corbus Pharmaceuticals.
M.M.D. serves or recently served as a consultant for Abcuro, Amazentis, argenx, Catalyst, Cello, Covance/Labcorp, CSL-Behring, EcoR1, Janssen, Kezar, MDA, Medlink, Momenta, NuFactor, Octapharma, Priovant, RaPharma/UCB, Roivant Sciences Inc, Sanofi Genzyme, Shire Takeda, Scholar Rock, Spark Therapeutics, Abata/Third Rock, UCB Biopharma, and UpToDate. M.M.D. received research grants or contracts or educational grants from Alexion, Alnylam Pharmaceuticals, Amicus, Biomarin, Bristol-Myers Squibb, Catalyst, Corbus, CSL-Behring, FDA/OOPD, GlaxoSmithKline, Genentech, Grifols, Kezar, Mitsubishi Tanabe Pharma, MDA, NIH, Novartis, Octapharma, Orphazyme, Ra Pharma/UCB, Sanofi Genzyme, Sarepta Therapeutics, Shire Takeda, Spark Therapeutics, The Myositis Association, UCB Biopharma/RaPharma, and Viromed/Healixmith.
F.E. has received research support and funding from Genentech and Octapharma.
D.F. received honoraria from Bristol-Meyers Squibb, Kyverna, Janssen, Amgen, UCB, Priovant, and Merck. D.F. received funding for contracted research from Pfizer and a research grant from Serono.
Z.G. received speaker honoraria from AbbVie, Eli Lilly, Novartis, and Roche and served on an advisory board for Octapharma.
A.J.vdK. served on an advisory board for argenx.
M.K. received research grants, travel grants, consultancy or speaker honoraria from AbbVie, argenx, Astellas, Boehringer Ingelheim, Chugai, Corbus, Horizon Therapeutics, Kissei, Medical & Biological Laboratories, Mochida, Ono, and Mitsubishi Tanabe.
I.E.L. has received consulting fees from Corbus Pharmaceuticals, Inc and research grants from Astra Zeneca; has been serving on the advisory board for Bristol Myers Squibb, Corbus Pharmaceutical, EMD Serono Research & Development Institute, argenx, Octapharma, Kezaar, Orphazyme, Pfizer and Janssen; has stock shares in Roche and Novartis.
C.A.M. served a consultant for Boerhinger Ingelheim and for the National Vaccine Injury Compensation Program.
J.J.P. reports consultant fees from Alexion, Riovant, argenx, EMD-Serono, Pfizer, Kezar, and Guidepoint; clinical trial research support from Alexion, Pfizer, and Kezar.
J.R. received departmental research support from the Dutch Prinses Beatrix Spierfonds, Dutch ALS foundation, Marigold foundation, Prothya Biosolutions, argenx, and Health-Holland/Dutch Ministry of Economic Affairs.
L.G.R. served as an unpaid consultant for AstraZeneca, CSL Behring, Alexion, Boehringer Ingelheim, Argenx, Pfizer, and Horizon Therapeutics, and received research funding from BMS, Hope Pharmaceuticals, and Lilly.
J.V. received research grants, consultancy or speaker honoraria from Abbvie, argenx, Biogen, Boehringer Ingelheim, Eli Lilly, Gilead, Horizon, Kezar, Merck Sharp and Dohme, Octapharma, Pfizer, Takeda, UCB, and Werfen.
M.d.V served as a consultant for Novartis and Dynacure.
M.D. has I received honoraria and consultation fees from Biogen, CSL-Behring, Sanofi-Genzyme, Abcuro, and Roche.
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