scholarly journals Translation of a circulating microRNA signature of melanoma into a solid tissue assay to improve diagnostic accuracy and precision.

2021 ◽  
Author(s):  
Ryan Van Laar ◽  
Samuel King ◽  
Richard McCoy ◽  
Mirette Saad ◽  
Sian Fereday ◽  
...  

Abstract Background: Successful treatment of cutaneous melanoma depends on early and accurate diagnosis of clinically suspicious melanocytic skin lesions. Multiple international studies have described the challenge of providing accurate and reproducible histopathological assessments of melanocytic lesions, highlighting the need for new diagnostic tools including disease-specific biomarkers. Previously, a 38-microRNA signature (“MEL38”) was identified in melanoma patient plasma and validated as a novel biomarker. In this study, MEL38 expression in solid tissue biopsies representing the benign naevi to metastatic melanoma spectrum is examined. Methods: Nanostring digital gene expression assessment of the MEL38 signature was performed on 308 formalin fixed paraffin embedded biopsies of naevi, melanoma in-situ and invasive melanoma. Genomic data were interrogated using hierarchical clustering, univariate, and multivariate statistical approaches. Classification scores computed from the MEL38 signature were analysed for their association with demographic data and histopathology results, including MPATH-DX class, AJCC disease stage and tissue subtype. Results: The MEL38 score can stratify higher-risk melanomas (MPATH-Dx Class V or more advanced) from lower-risk skin lesions (Class I-IV) with an area-under-the curve of 0.97 (P<0.001). The genomic score ranges from 0 to 10 and is positively correlated with melanoma progression, with an intraclass correlation coefficient of 0.85 with stage 0 to IV disease. Using an optimised classification threshold of ≥2.7 accurately identifies higher-risk melanomas, associated with poorer outcomes and more intensive suggested clinical actions with 89% sensitivity and 94% specificity. Multivariate analysis showed the score to be a significant predictor of malignancy, independent of technical and clinical covariates. Application of the MEL38 signature to spitz naevi reveal an intra-subtype profile, with elements of the profile in common to both naevi and melanoma. Conclusion: Melanoma-specific circulating microRNAs maintain their association with malignancy when measured in the hypothesized tissue of origin. The MEL38 signature is an accurate and reproducible metric of melanoma status, based on changes in microRNA expression that occur as the disease develops and spreads. Inclusion of the MEL38 score into routine practice would provide physicians with previously unavailable, personalised genomic information about their patient’s skin lesions. Combining molecular biomarker data with conventional histopathology data may improve diagnostic accuracy, healthcare resource utilisation, and patient outcomes.

2021 ◽  
Author(s):  
Ryan Van Laar ◽  
Samuel King ◽  
Richard McCoy ◽  
Mirette Saad ◽  
Sian Fereday ◽  
...  

Abstract Background: Successful treatment of cutaneous melanoma depends on early and accurate diagnosis of clinically suspicious melanocytic skin lesions. Multiple international studies have described the challenge of providing accurate and reproducible histopathological assessments of melanocytic lesions, highlighting the need for new diagnostic tools including disease-specific biomarkers. Previously, a 38-microRNA signature (“MEL38”) was identified in melanoma patient plasma and validated as a novel biomarker. In this study, MEL38 expression in solid tissue biopsies representing the benign naevi to metastatic melanoma spectrum is examined. Methods: Nanostring digital gene expression assessment of the MEL38 signature was performed on 308 formalin fixed paraffin embedded biopsies of naevi, melanoma in-situ and invasive melanoma. Genomic data were interrogated using hierarchical clustering, univariate, and multivariate statistical approaches. Classification scores computed from the MEL38 signature were analysed for their association with demographic data and histopathology results, including MPATH-DX class, AJCC disease stage and tissue subtype. Results: The MEL38 score can stratify higher-risk melanomas (MPATH-Dx Class V or more advanced) from lower-risk skin lesions (Class I-IV) with an area-under-the curve of 0.97 (P<0.001). The genomic score ranges from 0 to 10 and is positively correlated with melanoma progression, with an intraclass correlation coefficient of 0.85 with stage 0 to IV disease. Using an optimised classification threshold of ≥2.7 accurately identifies higher-risk melanomas, associated with poorer outcomes and more intensive suggested clinical actions with 89% sensitivity and 94% specificity. Multivariate analysis showed the score to be a significant predictor of malignancy, independent of technical and clinical covariates. Application of the MEL38 signature to spitz naevi reveal an intra-subtype profile, with elements of the profile in common to both naevi and melanoma. Conclusion: Melanoma-specific circulating microRNAs maintain their association with malignancy when measured in the hypothesized tissue of origin. The MEL38 signature is an accurate and reproducible metric of melanoma status, based on changes in microRNA expression that occur as the disease develops and spreads. Inclusion of the MEL38 score into routine practice would provide physicians with previously unavailable, personalised genomic information about their patient’s skin lesions. Combining molecular biomarker data with conventional histopathology data may improve diagnostic accuracy, healthcare resource utilisation, and patient outcomes.


2021 ◽  
Author(s):  
Ryan Van Laar ◽  
Samuel King ◽  
Richard McCoy ◽  
Mirette Saad ◽  
Sian Fereday ◽  
...  

Abstract Background: Successful treatment of cutaneous melanoma depends on early and accurate diagnosis of clinically suspicious melanocytic skin lesions. Multiple international studies have described the challenge of providing accurate and reproducible histopathological assessments of melanocytic lesions, highlighting the need for new diagnostic tools including disease-specific biomarkers. Previously, a 38-microRNA signature (“Mel38”) was identified in melanoma patient plasma and validated as a novel biomarker. In this study, Mel38 expression in solid tissue biopsies representing the benign naevi to metastatic melanoma spectrum is examined. Methods: Nanostring digital gene expression assessment of the Mel38 signature was performed on 308 formalin fixed paraffin embedded biopsies of naevi, melanoma in-situ and invasive melanoma. Genomic data were interrogated using hierarchical clustering, univariate, and multivariate statistical approaches. Classification scores computed from the Mel38 signature were analysed for their association with demographic data and histopathology results, including MPATH-DX class, AJCC disease stage and tissue subtype. Results: The Mel38 score can stratify higher-risk melanomas (MPATH-Dx Class V or more advanced) from lower-risk skin lesions (Class I-IV) with an area-under-the curve of 0.97 (P<0.001). The genomic score ranges from 0 to 10 and is positively correlated with melanoma progression, with an intraclass correlation coefficient of 0.85 with stage 0 to IV disease. Using an optimised classification threshold of ≥2.7 accurately identifies higher-risk melanomas, associated with poorer outcomes and more intensive suggested clinical actions with 89% sensitivity and 94% specificity. Multivariate analysis showed the score to be a significant predictor of malignancy, independent of technical and clinical covariates. Application of the Mel38 signature to spitz naevi reveal an intra-subtype profile, with elements of the profile in common to both naevi and melanoma. Conclusion: Melanoma-specific circulating microRNAs maintain their association with malignancy when measured in the hypothesized tissue of origin. The Mel38 signature is an accurate and reproducible metric of melanoma status, based on changes in microRNA expression that occur as the disease develops and spreads. Inclusion of the Mel38 score into routine practice would provide physicians with previously unavailable, personalised genomic information about their patient’s skin lesions. Combining molecular biomarker data with conventional histopathology data may improve diagnostic accuracy, healthcare resource utilisation, and patient outcomes.


2021 ◽  
Author(s):  
Ryan Van Laar ◽  
Samuel King ◽  
Richard McCoy ◽  
Mirette Saad ◽  
Sian Fereday ◽  
...  

Abstract Background: Successful treatment of cutaneous melanoma depends on early and accurate diagnosis of clinically suspicious melanocytic skin lesions. Multiple international studies have described the challenge of providing accurate and reproducible histopathological assessments of melanocytic lesions, highlighting the need for new diagnostic tools including disease-specific biomarkers. Previously, a 38-microRNA signature (“Mel38”) was identified in melanoma patient plasma and validated as a novel biomarker. In this study, Mel38 expression in solid tissue biopsies representing the benign naevi to metastatic melanoma spectrum is examined. Methods: Nanostring digital gene expression assessment of the Mel38 signature was performed on 308 formalin fixed paraffin embedded biopsies of naevi, melanoma in-situ and invasive melanoma. Genomic data were interrogated using hierarchical clustering, univariate, and multivariate statistical approaches. Classification scores computed from the Mel38 signature were analysed for their association with demographic data and histopathology results, including MPATH-DX class, AJCC disease stage and tissue subtype. Results: The Mel38 score can stratify higher-risk melanomas (MPATH-Dx Class V or more advanced) from lower-risk skin lesions (Class I-IV) with an area-under-the curve of 0.96 (P<0.001). The genomic score ranges from 0 to 10 and is positively correlated with melanoma progression, with an intraclass correlation coefficient of 0.85 with stage 0 to IV disease. Using an optimised classification threshold of ≥2.3 accurately identifies higher-risk melanomas, associated with poorer outcomes and more intensive suggested clinical actions with 95% sensitivity and 83% specificity. Multivariate analysis showed the score to be a significant predictor of malignancy, independent of technical and clinical covariates. Application of the Mel38 signature to spitz naevi reveal an intra-subtype profile, with elements of the profile in common to both naevi and melanoma. Conclusion: Melanoma-specific circulating microRNAs maintain their association with malignancy when measured in the hypothesized tissue of origin. The Mel38 signature is an accurate and reproducible metric of melanoma status, based on changes in microRNA expression that occur as the disease develops and spreads. Inclusion of the Mel38 score into routine practice would provide physicians with previously unavailable, personalised genomic information about their patient’s skin lesions. Combining molecular biomarker data with conventional histopathology data may improve diagnostic accuracy, healthcare resource utilisation, and patient outcomes.


2021 ◽  
Author(s):  
Ryan Van Laar ◽  
Samuel King ◽  
Richard McCoy ◽  
Mirette Saad ◽  
Sian Fereday ◽  
...  

Aim: Successful treatment of cutaneous melanoma depends on early and accurate diagnosis of clinically suspicious melanocytic skin lesions. Multiple international studies have described the challenge of providing accurate and reproducible histopathological assessments of melanocytic lesions, highlighting the need for new diagnostic tools including disease-specific biomarkers. Previously, a 38-miRNA signature (MEL38) was identified in melanoma patient plasma and validated as a novel biomarker. In this study, MEL38 expression in solid tissue biopsies representing the benign nevi to metastatic melanoma spectrum is examined. Patients & methods: Nanostring digital gene expression assessment of the MEL38 signature was performed on 308 formalin-fixed paraffin-embedded biopsies of nevi, melanoma in situ and invasive melanoma. Genomic data were interrogated using hierarchical clustering, univariate and multivariate statistical approaches. Classification scores computed from the MEL38 signature were analyzed for their association with demographic data and histopathology results, including MPATH-DX class, AJCC disease stage and tissue subtype. Results: The MEL38 score can stratify higher-risk melanomas (MPATH-Dx class V or more advanced) from lower-risk skin lesions (class I–IV) with an area under the curve of 0.97 (p < 0.001). The genomic score ranges from 0 to 10 and is positively correlated with melanoma progression, with an intraclass correlation coefficient of 0.85 with stage 0–IV disease. Using an optimized classification threshold of ≥2.7 accurately identifies higher-risk melanomas with 89% sensitivity and 94% specificity. Multivariate analysis showed the score to be a significant predictor of malignancy, independent of technical and clinical covariates. Application of the MEL38 signature to Spitz nevi reveals an intrasubtype profile, with elements in common to both nevi and melanoma. Conclusion: Melanoma-specific circulating miRNAs maintain their association with malignancy when measured in the hypothesized tissue of origin. The MEL38 signature is an accurate and reproducible metric of melanoma status, based on changes in miRNA expression that occur as the disease develops and spreads. Inclusion of the MEL38 score into routine practice would provide physicians with previously unavailable, personalized genomic information about their patient’s skin lesions. Combining molecular biomarker data with conventional histopathology data may improve diagnostic accuracy, healthcare resource utilization and patient outcomes.


2021 ◽  
Author(s):  
Ryan Van Laar ◽  
Samuel King ◽  
Richard McCoy ◽  
Mirette Saad ◽  
Sian Fereday ◽  
...  

Abstract Background Successful treatment of cutaneous melanoma depends on early and accurate diagnosis of clinically suspicious melanocytic skin lesions. Currently, histopathology examination of excised skin lesions is considered the ‘gold standard’ for diagnosis of melanoma. Multiple studies have shown the low accuracy and reproducibility of this method, underscoring the urgent need for new diagnostic tools, including disease-specific biomarkers. Previously, a 38-microRNA signature of melanoma (‘Mel38’) was previously identified in plasma and validated as novel circulating biomarker. In this study, Mel38 expression in solid biopsy tissue is examined to determine its ability to contribute to accurate and reproducible melanoma diagnoses.Methods Nanostring digital gene expression profiling was used to apply the Mel38 signature in a cohort of 308 formalin fixed paraffin embedded skin biopsies (‘Mel38’). Genomic data were interrogated using hierarchical clustering, univariate and multivariate statistical approaches. Mel38 classification scores (range 0 to 10) were compared to consensus histopathology results, including MPATH-DX class, AJCC disease stage, histological subtype as well as technical assay factors.Results The Mel38 score can identify high-risk melanomas (MPATH-Dx Class IV) from less-malignant forms of the disease with an area-under-the curve of 0.96 (P < 0.001). The genomic score ranges from 0 to 10 and is positively correlated with the melanoma progression, from benign naevi to metastatic disease (intraclass correlation coefficient: 0.85). Using a score threshold of > 2.3 identifies higher-risk melanomas, associated with poorer outcomes and more intensive suggested clinical actions. Multivariate analysis showed the score to be a significant predictor of malignancy, independent of technical and clinical covariates. Analysis of the Mel38 signature in spitz naevi reveal an intra-subtype profile, in common to both benign and malignant conditions.Conclusion Melanoma-specific circulating microRNAs maintain their association with malignancy when measured in the hypothesized tissue of origin. The Mel38 signature is an accurate and reproducible metric of melanoma status, based on changes in microRNA expression that occur as the disease develops and spreads. Inclusion of the Mel38 score into routine practice would give physicians a genomic assessment of a patient’s disease status. Combining molecular biomarker data with conventional histopathology data may improve diagnostic accuracy, reproducibility, and patient outcomes.


2020 ◽  
Author(s):  
Ryan Van Laar ◽  
Samuel King ◽  
Richard McCoy ◽  
Mirette Saad ◽  
Sian Fereday ◽  
...  

Abstract Background Successful treatment of cutaneous melanoma depends on early and accurate diagnosis of clinically suspicious melanocytic skin lesions. Currently, histopathology examination of excised skin lesions is considered the ‘gold standard’ for diagnosis of melanoma. Multiple studies have shown the low accuracy and reproducibility of this method, underscoring the urgent need for new diagnostic tools, including disease-specific biomarkers. Previously, a 38-microRNA signature of melanoma (‘Mel38’) was previously identified in plasma and validated as novel circulating biomarker. In this study, Mel38 expression in solid biopsy tissue is examined to determine its ability to contribute to accurate and reproducible melanoma diagnoses. Methods Nanostring digital gene expression profiling was used to apply the Mel38 signature in a cohort of 308 formalin fixed paraffin embedded skin biopsies (‘Mel38’). Genomic data were interrogated using hierarchical clustering, univariate and multivariate statistical approaches. Mel38 classification scores (range 0 to 10) were compared to consensus histopathology results, including MPATH-DX class, AJCC disease stage, histological subtype as well as technical assay factors. Results The Mel38 score can identify high-risk melanomas (MPATH-Dx Class IV) from less-malignant forms of the disease with an area-under-the curve of 0.96 (P < 0.001). The genomic score ranges from 0 to 10 and is positively correlated with the melanoma progression, from benign naevi to metastatic disease (intraclass correlation coefficient: 0.85). Using a score threshold of > 2.3 identifies higher-risk melanomas, associated with poorer outcomes and more intensive suggested clinical actions. Multivariate analysis showed the score to be a significant predictor of malignancy, independent of technical and clinical covariates. Analysis of the Mel38 signature in spitz naevi reveal an intra-subtype profile, in common to both benign and malignant conditions. Conclusion Melanoma-specific circulating microRNAs maintain their association with malignancy when measured in the hypothesized tissue of origin. The Mel38 signature is an accurate and reproducible metric of melanoma status, based on changes in microRNA expression that occur as the disease develops and spreads. Inclusion of the Mel38 score into routine practice would give physicians a genomic assessment of a patient’s disease status. Combining molecular biomarker data with conventional histopathology data may improve diagnostic accuracy, reproducibility, and patient outcomes.


2015 ◽  
Vol 28 (1) ◽  
pp. 123-131 ◽  
Author(s):  
Claire Bamford ◽  
Kirsty Olsen ◽  
Chris Davison ◽  
Nicky Barnett ◽  
Jim Lloyd ◽  
...  

ABSTRACTBackground:Positron emission tomography (PET) and single photon emission computed tomography (SPECT) brain imaging are widely used as diagnostic tools for suspected dementia but no studies have directly compared participant views of the two procedures. We used a range of methods to explore preferences for PET and SPECT.Methods:Patients and controls (and accompanying carers) completed questionnaires immediately after undergoing PET and SPECT brain scans. Pulse rate data were collected during each scan. Scan attributes were prioritized using a card sorting exercise; carers and controls additionally answered willingness to pay (WTP) questions.Results:Few differences were found either between the scans or groups of participants, although carers marginally preferred SPECT. Diagnostic accuracy was prioritized over other scan characteristics. Mean heart rate during both scans was lower than baseline heart rate measured at home (p < 0.001).Conclusion:Most participants viewed PET and SPECT scans as roughly equivalent and did not have a preference for either scan. Carer preference for SPECT is likely to reflect their desire to be with the patient (routine practice for SPECT but not for PET), suggesting that they should be able to accompany vulnerable patients throughout imaging procedures wherever possible. Pulse rate data indicated that brain imaging was no more stressful than a home visit (HV) from a researcher. The data do not support the anecdotal view that PET is a more burdensome procedure and the use of PET or SPECT scans in dementia should be based on diagnostic accuracy of the technique.


2021 ◽  
Vol 12 (2) ◽  
pp. 71-74
Author(s):  
Ajay Kumar ◽  
Saujan Subedi ◽  
Jenny Pun ◽  
Binamra Basnet ◽  
Raja Babu Giri ◽  
...  

Background: Dermatology referrals play a vital role in patient care as well as in training for non-dermatologists. In present scenario of changing health care need and delivery, it would be of interest to doctors and policy makers to know the magnitude and reasons for dermatology consultations and its impact on patient care. Aims and Objectives: This study was conducted to describe demography of dermatology referrals and to analyse diagnostic accuracy of non-dermatologists and its impact on patient care. Materials and Methods: This cross-sectional study was conducted at Manipal College of Medical Sciences, Pokhara. Preformed proforma having demographic data and details of referrals were recorded. Analysis of diagnostic accuracy by non-dermatologist was carried out. Results: Out of 174 referrals, men and women were equal in number with Mean age of 35.6 ± 22.3 years. Referrals were more frequent from Internal medicine 40 (23%). The most common complaint in referral sheet was skin rashes of different types in 85 (48.9%). Primary department didn’t offer treatment for skin lesions/symptoms in 73 (42%) of cases. After receiving referrals, dermatologists were able to diagnose clinically in 110 (63.2%) cases, in the rest, help of laboratory, imaging techniques and histopathology were needed. Cutaneous viral infections were the commonest dermatological diagnosis in 30 (17.2%) cases, followed by eczema/dermatitis in 174 (2.3%) cases. Primary department made correct diagnosis in only 83 (47.7%) cases. Conclusions: Non-dermatologists do have difficulties in identifying and addressing skin lesions and symptoms and there is benefit from dermatology consultations. Furthermore, dermatology consultations do have high educational value for non-dermatologists.


2007 ◽  
Vol 62 (4) ◽  
pp. 339-344 ◽  
Author(s):  
L. Davin ◽  
P. Lancellotti ◽  
P.J. Bruyère ◽  
O. Gach ◽  
L. Piérard ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
pp. 17
Author(s):  
Iris Wohlmuth-Wieser ◽  
Joel M. Ramjist ◽  
Neil Shear ◽  
Raed Alhusayen

The diagnosis of cutaneous T-cell lymphomas (CTCL) is frequently delayed by a median of three years and requires the clinical evaluation of an experienced dermatologist and a confirmatory skin biopsy. Dermoscopy and high-frequency ultrasound (HFUS) represent two non-invasive diagnostic tools. While dermoscopy is inexpensive and widely used for the diagnosis of melanoma and non-melanoma skin cancers, HFUS of skin lymphomas represents a novel diagnostic approach that is not yet implemented in the routine dermatologic practice. The aim of our study was to prospectively assess skin lesions of patients with either CTCL patches or plaques with dermoscopy and HFUS and to compare the findings with atopic dermatitis (AD) and psoriasis. Thirteen patients with an established diagnosis of CTCL, psoriasis, or AD were studied: Dermoscopy features including spermatozoa-like structures and the presence of white scales could assist in differentiating between early-stage CTCL and AD. HFUS measurements of the skin thickness indicated increased epidermal-, thickness in CTCL, and psoriasis compared with AD. Our results support the use of dermoscopy as a useful tool to diagnose CTCL. HFUS could augment the dermatologic assessment, but further studies will be needed to define standardized parameters.


Sign in / Sign up

Export Citation Format

Share Document