PMID- 37428440
OWN - NLM
STAT- MEDLINE
DCOM- 20230808
LR  - 20230808
IS  - 1600-0714 (Electronic)
IS  - 0904-2512 (Linking)
VI  - 52
IP  - 7
DP  - 2023 Aug
TI  - Early detection of squamous cell carcinoma of the oral tongue using 
      multidimensional plasma protein analysis and interpretable machine learning.
PG  - 637-643
LID - 10.1111/jop.13461 [doi]
AB  - BACKGROUND: Interpretable machine learning (ML) for early detection of cancer has 
      the potential to improve risk assessment and early intervention. METHODS: Data 
      from 261 proteins related to inflammation and/or tumor processes in 123 blood 
      samples collected from healthy persons, but of whom a sub-group later developed 
      squamous cell carcinoma of the oral tongue (SCCOT), were analyzed. Samples from 
      people who developed SCCOT within less than 5 years were classified as 
      tumor-to-be and all other samples as tumor-free. The optimal ML algorithm for 
      feature selection was identified and feature importance computed by the SHapley 
      Additive exPlanations (SHAP) method. Five popular ML algorithms (AdaBoost, 
      Artificial neural networks [ANNs], Decision Tree [DT], eXtreme Gradient Boosting 
      [XGBoost], and Support Vector Machine [SVM]) were applied to establish prediction 
      models, and decisions of the optimal models were interpreted by SHAP. RESULTS: 
      Using the 22 selected features, the SVM prediction model showed the best 
      performance (sensitivity = 0.867, specificity = 0.859, balanced accuracy = 0.863, 
      area under the receiver operating characteristic curve [ROC-AUC] = 0.924). SHAP 
      analysis revealed that the 22 features rendered varying person-specific impacts 
      on model decision and the top three contributors to prediction were Interleukin 
      10 (IL10), TNF Receptor Associated Factor 2 (TRAF2), and Kallikrein Related 
      Peptidase 12 (KLK12). CONCLUSION: Using multidimensional plasma protein analysis 
      and interpretable ML, we outline a systematic approach for early detection of 
      SCCOT before the appearance of clinical signs.
CI  - (c) 2023 The Authors. Journal of Oral Pathology & Medicine published by John Wiley 
      & Sons Ltd.
FAU - Gu, Xiaolian
AU  - Gu X
AUID- ORCID: 0000-0002-6574-3628
AD  - Department of Medical Biosciences/Pathology, Umea University, Umea, Vasterbotten, 
      Sweden.
FAU - Salehi, Amir
AU  - Salehi A
AUID- ORCID: 0000-0003-2166-6242
AD  - Department of Medical Biosciences/Pathology, Umea University, Umea, Vasterbotten, 
      Sweden.
FAU - Wang, Lixiao
AU  - Wang L
AD  - Department of Medical Biosciences/Pathology, Umea University, Umea, Vasterbotten, 
      Sweden.
FAU - Coates, Philip J
AU  - Coates PJ
AUID- ORCID: 0000-0003-1518-6306
AD  - Research Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer 
      Institute, Brno, Czech Republic.
FAU - Sgaramella, Nicola
AU  - Sgaramella N
AD  - Department of Medical Biosciences/Pathology, Umea University, Umea, Vasterbotten, 
      Sweden.
AD  - Department of Oral and Maxillo-Facial Surgery, Mater Dei Hospital, Bari, Italy.
FAU - Nylander, Karin
AU  - Nylander K
AUID- ORCID: 0000-0002-4831-4100
AD  - Department of Medical Biosciences/Pathology, Umea University, Umea, Vasterbotten, 
      Sweden.
LA  - eng
GR  - European Regional Development Fund/
GR  - Lion's Cancer Research Foundation/
GR  - 00209805/Ministry of Health Czech Republic, Conceptual Development of Research 
      Organization/
GR  - Region Vasterbotten/
GR  - The Swedish Cancer Society/
GR  - Umea Universitet/
PT  - Journal Article
DEP - 20230710
PL  - Denmark
TA  - J Oral Pathol Med
JT  - Journal of oral pathology & medicine : official publication of the International 
      Association of Oral Pathologists and the American Academy of Oral Pathology
JID - 8911934
RN  - 0 (Blood Proteins)
RN  - EC 2.3.2.27 (Ubiquitin-Protein Ligases)
SB  - IM
MH  - Humans
MH  - *Carcinoma, Squamous Cell/diagnosis
MH  - Blood Proteins
MH  - *Tongue Neoplasms/diagnosis
MH  - Machine Learning
MH  - Ubiquitin-Protein Ligases
MH  - Tongue
OTO - NOTNLM
OT  - SCCOT
OT  - SHAP
OT  - interpretable model
OT  - machine learning
OT  - plasma protein
EDAT- 2023/07/10 13:05
MHDA- 2023/08/08 06:42
CRDT- 2023/07/10 11:16
PHST- 2023/03/15 00:00 [revised]
PHST- 2023/01/09 00:00 [received]
PHST- 2023/06/06 00:00 [accepted]
PHST- 2023/08/08 06:42 [medline]
PHST- 2023/07/10 13:05 [pubmed]
PHST- 2023/07/10 11:16 [entrez]
AID - 10.1111/jop.13461 [doi]
PST - ppublish
SO  - J Oral Pathol Med. 2023 Aug;52(7):637-643. doi: 10.1111/jop.13461. Epub 2023 Jul 
      10.