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Record W3111499006 · doi:10.1016/j.jmoldx.2020.11.011

A Rapid and Cost-Effective Gene Expression Assay for the Diagnosis of Well-Differentiated and Dedifferentiated Liposarcomas

2020· article· en· W3111499006 on OpenAlexafffund
Xiu Q. Wang, Xue Q. Wang, Anika T.Y.W. Hsu, Angela Goytain, Tony Ng, Torsten O. Nielsen

Bibliographic record

VenueJournal of Molecular Diagnostics · 2020
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsUniversity of British Columbia HospitalVancouver General HospitalUniversity of British Columbia
FundersTerry Fox Research InstituteCanadian Cancer Society
KeywordsLiposarcomaFluorescence in situ hybridizationGold standard (test)Synovial sarcomaBiologyAmpliconSarcomaPathologyCancer researchGeneMedicineRadiologyGeneticsPolymerase chain reactionChromosome

Abstract

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Histologic examination neither reliably distinguishes benign lipomas from atypical lipomatous tumor/well-differentiated liposarcoma, nor dedifferentiated liposarcoma from other pleomorphic sarcomas, entities with different prognoses and management. Molecular confirmation of pathognomonic 12q13-15 amplifications leading to MDM2 overexpression is a diagnostic gold standard. Currently the most commonly used assay for this purpose is fluorescence in situ hybridization (FISH), but this is labor intensive. This study assessed whether newer NanoString-based technology could allow for more rapid and cost-efficient diagnosis of liposarcomas on standard formalin-fixed tissues through gene expression. Leveraging large-scale transcriptome data from The Cancer Genome Atlas, 20 genes were identified, most from the 12q13-15 amplicon, that distinguish dedifferentiated liposarcoma from other sarcomas and can be measured within a single NanoString assay. Using 21 cases of histologically ambiguous low-grade adipocytic tumors with available MDM2 amplification status, a machine learning–based analytical pipeline was built that assigns a given sample as negative or positive for liposarcoma based on quantitative gene expression. The effectiveness of the assay was validated on an independent set of 100 sarcoma samples (including 40 incident prospective cases), where histologic examination was considered insufficient for clinical diagnosis. The NanoString assay had a 93% technical success rate, and an accuracy of 97.8% versus an MDM2 amplification FISH gold standard. NanoString had a considerably faster turnaround time and was cheaper than FISH. Histologic examination neither reliably distinguishes benign lipomas from atypical lipomatous tumor/well-differentiated liposarcoma, nor dedifferentiated liposarcoma from other pleomorphic sarcomas, entities with different prognoses and management. Molecular confirmation of pathognomonic 12q13-15 amplifications leading to MDM2 overexpression is a diagnostic gold standard. Currently the most commonly used assay for this purpose is fluorescence in situ hybridization (FISH), but this is labor intensive. This study assessed whether newer NanoString-based technology could allow for more rapid and cost-efficient diagnosis of liposarcomas on standard formalin-fixed tissues through gene expression. Leveraging large-scale transcriptome data from The Cancer Genome Atlas, 20 genes were identified, most from the 12q13-15 amplicon, that distinguish dedifferentiated liposarcoma from other sarcomas and can be measured within a single NanoString assay. Using 21 cases of histologically ambiguous low-grade adipocytic tumors with available MDM2 amplification status, a machine learning–based analytical pipeline was built that assigns a given sample as negative or positive for liposarcoma based on quantitative gene expression. The effectiveness of the assay was validated on an independent set of 100 sarcoma samples (including 40 incident prospective cases), where histologic examination was considered insufficient for clinical diagnosis. The NanoString assay had a 93% technical success rate, and an accuracy of 97.8% versus an MDM2 amplification FISH gold standard. NanoString had a considerably faster turnaround time and was cheaper than FISH. Soft tissue tumors are a broad group of neoplasms that can arise in mesenchymal tissues throughout the body.1Barretina J. Taylor B.S. Banerji S. Ramos A.H. Lagos-Quintana M. Decarolis P.L. et al.Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy.Nat Genet. 2010; 42: 715-721Crossref PubMed Scopus (484) Google Scholar Malignant soft tissue tumors—sarcomas—are collectively uncommon relative to other cancer types, and have been classified into over 60 different subtypes.2De Vita A. Mercatali L. Recine F. Pieri F. Riva N. Bongiovanni A. Liverani C. Spadazzi C. Miserocchi G. Amadori D. Ibrahim T. Current classification, treatment options, and new perspectives in the management of adipocytic sarcomas.Onco Targets Ther. 2016; 9: 6233-6246Crossref PubMed Scopus (33) Google Scholar Diagnosis typically requires subspecialty pathology, in the context of detailed imaging and clinical information at designated sarcoma centers. Even then, molecular genetic testing is likely obligatory for accurate diagnosis of several types of sarcoma,3Italiano A. Di Mauro I. Rapp J. Pierron G. Auger N. Alberti L. Chibon F. Escande F. Voegeli A.C. Ghnassia J.P. Keslair F. Laé M. Ranchère-Vince D. Terrier P. Baffert S. Coindre J.M. Pedeutour F. Clinical effect of molecular methods in sarcoma diagnosis (GENSARC): a prospective, multicentre, observational study.Lancet Oncol. 2016; 17: 532-538Abstract Full Text Full Text PDF PubMed Scopus (68) Google Scholar including liposarcomas—the most common histotype of soft tissue sarcomas.4Dei Tos A.P. Liposarcomas: diagnostic pitfalls and new insights.Histopathology. 2014; 64: 38-52Crossref PubMed Scopus (105) Google Scholar Liposarcomas primarily affect adult patients and are concentrated in deep soft tissues,5Robbins S.L. Cotran R.S. Kumar V. Abbas A.K. Aster J.C. Pathologic basis of disease.ed 9. Saunders Elsevier, Philadelphia, PA2015Google Scholar falling into three main categories based on molecular etiology: i) well-differentiated/dedifferentiated liposarcomas (WDLS/DDLS); ii) myxoid liposarcomas, which have characteristic histologic examination and diagnostic translocations; and iii) pleomorphic liposarcomas, many of which have complex karyotypes.6Fletcher C.D.M. The evolving classification of soft tissue tumours - an update based on the new 2013 WHO classification.Histopathology. 2014; 64: 2-11Crossref PubMed Scopus (259) Google Scholar,7WHO Classification of Tumours Editorial BoardSoft tissue and bone tumours.ed 5. WHO classification of tumours series. International Agency for Research on Cancer, Lyon, France2020Google Scholar This project was focused on WDLS/DDLS, which is not only the most prevalent liposarcoma but also the type that most commonly causes diagnostic difficulties. WDLS/DDLS are karyotypically characterized by the presence of a supernumerary ring and/or giant rod chromosomes containing amplifications of chromosome segment 12q13-15.8Micci F. Teixeira M.R. Bjerkehagen B. Heim S. Characterization of supernumerary rings and giant marker chromosomes in well-differentiated lipomatous tumors by a combination of G-banding, CGH, M-FISH, and chromosome- and locus-specific FISH.Cytogenet Genome Res. 2002; 97: 13-19Crossref PubMed Scopus (33) Google Scholar,9Italiano A. Bianchini L. Keslair F. Bonnafous S. Cardot-Leccia N. Coindre J.M. Dumollard J.M. Hofman P. Leroux A. Mainguené C. Peyrottes I. Ranchere-Vince D. Terrier P. Tran A. Gual P. Pedeutour F. HMGA2 is the partner of MDM2 in well-differentiated and dedifferentiated liposarcomas whereas CDK4 belongs to a distinct inconsistent amplicon.Int J Cancer. 2008; 122: 2233-2241Crossref PubMed Scopus (149) Google Scholar This locus encodes several oncogenes, including the cell-cycle regulator CDK4, as well as MDM2, the main negative regulator of the key tumor suppressor, p53.10Yap D.B. Hsieh J.K. Chan F.S. Lu X. MDM2: a bridge over the two tumour suppressors, p53 and Rb.Oncogene. 1999; 18: 7681-7689Crossref PubMed Scopus (79) Google Scholar,11Okoro D.R. Arva N. Gao C. Polotskaia A. Puente C. Rosso M. Bargonetti J. Endogenous human MDM2-C is highly expressed in human cancers and functions as a p53-independent growth activator.PLoS One. 2013; 8: e77643Crossref PubMed Scopus (24) Google Scholar The identification of WDLSs, also termed atypical lipomatous tumor, is difficult as they are often histologically similar to lipomas.12O’Donnell P.W. Griffin A.M. Eward W.C. Sternheim A. White L.M. Wunder J.S. Ferguson P.C. Can experienced observers differentiate between lipoma and well-differentiated liposarcoma using only MRI?.Sarcoma. 2013; 2013: 982784Crossref PubMed Scopus (21) Google Scholar Lipomas are common and completely benign, whereas WDLSs have a potential to recur and a risk for progressing to DDLS, an aggressive malignancy that itself can be histologically difficult to distinguish from other high-grade sarcomas. Misdiagnosis can result in delayed or inadequate treatment of liposarcomas, inappropriately long-term postoperative follow-up or overtreatment of lipomas, with serious implications for patient morbidity. Based on the most recent World Health Organization Blue Book recommendations, retroperitoneal fatty tumors and deep-seated fatty tumors of >10 cm require molecular testing.7WHO Classification of Tumours Editorial BoardSoft tissue and bone tumours.ed 5. WHO classification of tumours series. International Agency for Research on Cancer, Lyon, France2020Google Scholar Fluorescence in situ hybridization (FISH) and immunohistochemical (IHC) analysis for MDM2 are the main tools, each with its own limitations, that are currently used as front-line molecular tests to aid in the clinical diagnosis of liposarcomas. FISH for the diagnosis of WDLS/DDLS relies on the detection of MDM2 amplifications.13Tanas M.R. Goldblum J.R. Fluorescence in situ hybridization in the diagnosis of soft tissue neoplasms: a review.Adv Anat Pathol. 2009; 16: 383-391Crossref PubMed Scopus (56) Google Scholar In FISH, fluorescence DNA probes hybridize to specific chromosomal targets in cell nuclei, and specialized cytotechnologists count the resulting hybridization signals under fluorescence microscopy to directly determine the amplification status of the target gene relative to different-colored probes hybridizing to its chromosomal centromere.8Micci F. Teixeira M.R. Bjerkehagen B. Heim S. Characterization of supernumerary rings and giant marker chromosomes in well-differentiated lipomatous tumors by a combination of G-banding, CGH, M-FISH, and chromosome- and locus-specific FISH.Cytogenet Genome Res. 2002; 97: 13-19Crossref PubMed Scopus (33) Google Scholar FISH is a tool valuable for diagnosing WDLS/DDLS, but is relatively expensive, at approximately US $380 per assessed locus; has turnaround constrained by the availability of microscopes and cytotechnologists; requires relatively tedious manual counting time; and measures only one target region per assay. IHC is similarly limited, as it also measures only the protein product of one gene per assay. Liposarcomas are substrates difficult for IHC applications because scant amounts of tissue survive processing and lack specific markers.14Yang L. Wang K. Hong L. Wang X. The of in diagnosing a and 97: PubMed Scopus Google Scholar MDM2 can be its is and difficult to in lipomas and S. A. K. M. of from One. PubMed Scopus Google Scholar for the of from other pleomorphic sarcomas. as by et A. T. M. N. T. and of of CDK4, and MDM2 and in situ hybridization of MDM2 for the diagnosis of cases of dedifferentiated PubMed Scopus Google Scholar the of IHC analysis of MDM2 is only which can result in the MDM2 protein is expressed to in most a quantitative in and protein to 12q13-15 and is assessed with the methods that are quantitative over a broad in the context of molecular with amplification and liposarcoma This an assay for WDLS/DDLS that NanoString technology for as a for chromosomal a at the for amplifications in J. S. S. J. J. J. gene to Full Text Full Text PDF PubMed Scopus Google Scholar The NanoString is a hybridization assay for of or amplification B. T. N. S. T. M. P. T. L. of gene with 2008; PubMed Scopus Google Scholar This hybridization basis the for the relatively in standard clinical in a rapid and S. A. K. M. of from One. PubMed Scopus Google J. for gene 42: PubMed Scopus Google Scholar were from the at and the was for cases between and using the key atypical lipomatous tumor, well liposarcoma, and were by a sarcoma and and cases with data on MDM2 from the were from the the independent cases with a clinical for MDM2 testing in the diagnostic the time from to were using a for MDM2 in the diagnostic or of the by a of the by a and to cases in which liposarcoma was a diagnostic the prospective the from to and at the at were to the liposarcoma detection assay in in which they were MDM2 or for diagnostic of cases were for the a of 21 cases was used for the to the gene from determine for and in an independent of cases were for the independent of incident prospective cases from and were were in the NanoString that and the NanoString gene data were to the clinical histologic and FISH or IHC was in but one which for the of The Cancer Genome not for WDLSs, this available data set data from as well as from other of high-grade sarcomas. data on samples for sarcoma and mesenchymal tumor samples were from The Cancer Genome A. C. T. A. et and genomic of adult soft tissue Full Text Full Text PDF PubMed Scopus Google Scholar using the data A.P. V. D.R. L.M. a for cancer genomic J 2016; PubMed Scopus Google Scholar for the of samples of the expressed genes by between and was using the standard a for analysis of gene 2010; PubMed Scopus Google Scholar was that genes were in the to the and the two sample types could be by using and the analysis was in were by probes of a hybridization region and a to each probes of a and a hybridization region for to to the standard the fluorescence and are built into the probes probes are used directly as by NanoString for the A. NanoString Scholar with are by NanoString but from an DNA in a are to a of the to hybridization with A. NanoString Scholar genes and were in the to for in and were and by a with the NanoString to that sample and in positive and the of probes with to human were as positive and negative assay of a of in an of approximately to and were of probes was using the the The was used for and of 100 of was used in each from samples containing at tumor and at were to and were for at in single containing and the of to target were on an where The of for in the NanoString in which signals were the of which not in cases with were by the and from were based on the of the positive target and the from negative the genes expressed between versus other sarcomas in The Cancer Genome Atlas, genes were for by NanoString standard on a testing to between WDLSs and In each the NanoString were to were a was on each of the genes to that were between samples of and the genes that were to be the 20 were as the gene for 20 genes were from DNA to be used on NanoString as this more for of the gene had been and of the 20 in to of protein that and a key tumor T. G. MDM2, an Cancer Res. Google growth to and T. through and PubMed Scopus Google protein for of which of human requires the of 18: PubMed Scopus Google and as a of the the of to in the and cell and p53 to cell growth and DNA p53 the cell PubMed Scopus Google containing to gene as of the S. is a in cell cancer that the p53 Res. 2013; PubMed Scopus Google in which is key for and the and which through and complex and as of the complex group DNA to DNA and of B. A. S. K. C. F. G. G. D. A. is a target of the Scopus Google and to cell and growth F. S. J.K. A. D. of of two on the and of human and of its for J. PubMed Google by in the of and in and growth growth and cell and and growth and through B. through 2009; Full Text Full Text PDF PubMed Scopus Google at the cell to cell and of to protein B. M.R. is a human of by 16: Full Text Full Text PDF PubMed Scopus Google in to protein are by protein of target of for protein cell in a new are by protein of target of for protein cell 21 samples WDLSs and from the were used and gene using NanoString each were from NanoString and the of the genes was The of each gene was by the gene in each sample to the for each gene this standard. was using the A. M. Classification and by 2002; Scholar for the of the of or lipoma on samples two genes per sample of of the The was using using the of the 20 the a that a sample be negative or positive between to of the cases was used for for positive and for negative were by clinical with WDLS/DDLS cases as positive and as were cases in this were with a between positive and negative for to be set at from the were as the of positive samples the as the for classification as WDLS/DDLS, and the of negative cases the as the for classification as between two between to cases as in of the assay as a clinical a for was and a detailed of for the 20 genes was This was used for to and with the study for the incident prospective clinical cases that the of the of the genes that differentiate from lipomas and from other sarcomas, gene analysis was on available cancer transcriptome data from The Cancer Genome which samples and over other sarcomas A. C. T. A. et and genomic of adult soft tissue Full Text Full Text PDF PubMed Scopus Google Scholar The genes a of to were validated using NanoString technology for in a of formalin-fixed cases WDLSs and was that were in the The 20 genes between versus lipoma were to be the gene and are in The data from the genes are in to the 20 genes were by NanoString and on a set of 21 samples that from lipomas and analysis of NanoString of lipoma from liposarcoma cases of the 20 genes were in the locus that is in WDLS/DDLS of are oncogenes, including MDM2, which is in at of and CDK4, a cell-cycle regulator tumor growth that is by A. Bianchini L. Keslair F. Bonnafous S. Cardot-Leccia N. Coindre J.M. Dumollard J.M. Hofman P. Leroux A. Mainguené C. Peyrottes I. Ranchere-Vince D. Terrier P. Tran A. Gual P. Pedeutour F. HMGA2 is the partner of MDM2 in well-differentiated and dedifferentiated liposarcomas whereas CDK4 belongs to a distinct inconsistent amplicon.Int J Cancer. 2008; 122: 2233-2241Crossref PubMed Scopus (149) Google L. S. P. Wang C. in and molecular alterations and clinical Cancer. PubMed Scopus Google M. P. J. A.M. S. A. patients with well-differentiated or dedifferentiated liposarcoma with a clinical Oncol. 2016; PubMed Scopus Google Scholar The only of the 20 genes that are not in the are to cell cell and in many and in in Cancer. 17: PubMed Scopus Google The gene and human PubMed Google and tumor that be to for CDK4 it was that this gene had a was to determine the that a given sample is WDLS/DDLS, using the NanoString gene for 20 genes as was on cases to for positive and for negative were cases were In were 60 cases from diagnostic in the from to were lipomas, were were WDLSs, and were other types of sarcomas samples and were with clinical diagnostic MDM2 FISH as a gold standard and were to be were lipoma and were considered to be because the into the In the two to be but MDM2 FISH that they were positive for in the had a of and a of with an assay as an of for and clinical diagnosis clinical diagnosis not clinical diagnosis clinical diagnosis not dedifferentiated well-differentiated in a new DDLS, dedifferentiated well-differentiated incident clinical cases in which sarcoma and considered that molecular testing was for a clinical diagnosis were the clinical in which the assay be used in clinical for the of positive and negative result as liposarcoma or not liposarcoma was to by a molecular had of the or FISH information the was on samples with the of for clinical MDM2 FISH by independent at the tumor clinical at Cancer turnaround of for testing was whereas from FISH testing between and to be of 40 prospective cases were by including and In the clinical as by a subspecialty and in the context of the histologic clinical and MDM2 FISH were lipomas in in in and other types of sarcomas in diagnostic in prospective cases were with MDM2 FISH and with the clinical diagnosis. In the other (including of the were considered because the into the had and positive and negative of in prospective cases The assay had a of an result that that FISH or other testing be for a diagnosis. This data from a rapid NanoString-based diagnostic assay for WDLS/DDLS, including 97.8% faster turnaround and to FISH testing for in 100 and prospective the an of and of has the to FISH as a molecular diagnostic assay for WDLS/DDLS from lipomas and other sarcomas in diagnostic as is currently at diagnosis is as more accurate between histologically and similar tumors can allow for lipomas are benign with diagnosing a as lipoma of atypical lipomatous at a the for follow-up and and allow patients to C. to the treatment of adult soft tissue sarcoma of the Cancer Res. 2009; PubMed Scopus Google Scholar in cases of a diagnosis of pleomorphic sarcoma versus on could whether with or to amounts of the from which and accurate molecular testing is for patient and in the management of the most common types of benign and adipocytic DNA is than is in FISH technical over NanoString technology is in testing for to DNA has a and can be to in clinical gene a for DNA J. S. S. J. J. J. gene to Full Text Full Text PDF PubMed Scopus Google Scholar In the than with a of genes from the 12q13-15 amplicon, an identification was for expressed genes in one of the for which 12q13-15 DNA amplification are not of the 20 most genes that were were from this genes also between to DDLS, 12q13-15 and lipomas, a relatively common clinical that can be for soft tissue tumor M.R. A.P. MDM2 and CDK4 it be used in lipomatous a new J Pathol. 2016; PubMed Scopus (33) Google Scholar the of is the to accurate from are often the in the management of patients with sarcomas, and using often clinical management. fatty tumors can be difficult to using based on histologic examination and and diagnostic insufficient for FISH S. of and in the diagnosis of soft tissue Res. 2010; PubMed Scopus Google Scholar The assay an of diagnosing liposarcomas on with of samples and to in of cases of 60 and of 40 sample had a diagnosis of cell an to have chromosome in of I. L. M. K. I. Bjerkehagen B. Heim S. of and analysis of Google Scholar in the histologic IHC and clinical of cell lipoma diagnostic with Classification of Tumours Editorial BoardSoft tissue and bone tumours.ed 5. WHO classification of tumours series. International Agency for Research on Cancer, Lyon, France2020Google Scholar three of the were of cancers were to have of several genes in the CDK4, and to with of and to of liposarcoma K. F. N. A. M. M. A. S. T. genetic and analysis of 9: PubMed Scopus Google Scholar the of and were in (including as not liposarcoma but to the than in lipoma or liposarcoma which with from other M.R. Wang X. A.M. M. for the of well-differentiated liposarcoma from Pathol. 2009; PubMed Scopus Google Scholar it be to the of the to the of this from other of sarcoma can be histologically and is of to patient to FISH result IHC clinical for a as negative for liposarcoma is positive is cell lipoma versus cell versus versus versus versus versus versus dedifferentiated FISH, fluorescence in situ well-differentiated The for a as negative for liposarcoma is positive is in a new DDLS, dedifferentiated FISH, fluorescence in situ well-differentiated The assay a result that was considered in of 100 In the clinical diagnosis was based on an MDM2 amplification of in of the on FISH. clinical was in the diagnostic for a as positive was than which this as negative for MDM2 In this sample not the of tumor not to the of tumor within the MDM2 IHC was and was as it is whether the assay result as a In the other sample the from the and the used for testing were positive for MDM2 amplification on FISH, a result the FISH gold standard in this many of the genes used in the MDM2, and are also in low-grade of which are also characterized by X. X. T. M. J. amplification of and MDM2 in low-grade a genetic study of cases with J Pathol. 42: PubMed Scopus Google Scholar are difficult to to relatively histologic and also clinical and A.M. S.L. C. L. a difficult to PubMed Scopus Google Scholar the and treatment of low-grade from of benign bone accurate diagnosis is F. C. A. F. C. A. Coindre J.M. L. Pedeutour F. C. G. MDM2 and CDK4 is a valuable tool in the diagnosis of low-grade and other of the Pathol. PubMed Scopus Google Scholar In the one was as positive on with the result on FISH. the of the be to in the diagnosis of and other of the the cases to be assessed in the and histologic and the diagnosis be the assay is The in the study was not to and the assay not well in the context of that only one was available for sample for testing for be a in the of this NanoString-based assay in the detection of low-grade bone In a molecular assay that machine to signals from 20 can be used for diagnosing sarcomas and malignancy in samples of was to be faster and cheaper than FISH with a of The and for gene are available to in this assay. the at the for with with with with with

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.272
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Same venueJournal of Molecular DiagnosticsSame topicSarcoma Diagnosis and TreatmentFrench-language works237,207