Validation of Breast Cancer Biomarkers Identified by Mass Spectrometry
Notice bibliographique
Résumé
Li et al. (1) should be congratulated for a valiant effort to validate 3 previously identified serum breast cancer biomarkers by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). Because there is considerable controversy on the value of this technology for cancer diagnostics (2)(3)(4)(5)(6)(7)(8)(9)(10)(11), it is important to comment on validation studies aiming to reproduce previously published data. Among 3 previously reported biomarkers, BC1, BC2, and BC3, one of these (BC1) was not confirmed, as it was previously shown to be decreased in breast cancer, whereas in the validation study by Li et al. (1), it was increased. The other 2 candidate biomarkers, BC2 and BC3, were positively identified, by tandem MS, as complement C3a lacking its C-terminal arginine (C3adesArg). BC2 was also identified as a truncated form of C3adesArg. In my opinion, the data presented in Fig. 4 of the article by Li et al. (1), showing the relative intensities of BC2 and BC3 in various groups of patients, are rather disappointing. For BC2, there is no difference between patients with benign breast diseases and patients with invasive carcinomas, although an increase was seen in ductal carcinoma in situ (DCIS). For BC3, there was no difference among patients with benign disease, DCIS, or invasive carcinomas. The remaining question concerns the possible value of complement C3adesArg and its fragment as candidate breast cancer biomarkers. The data provided by the authors (1) confirm my previous predictions that SELDI-TOF–identified biomarkers represent high-abundance proteins (in this case, C3, present in serum at concentrations of ∼1.2 g/L) that are produced mostly by the liver (3)(4)(5)(6). The proteolytic processing of peptides in the circulation by amino- and carboxypeptidases is well known, and it should not be surprising that the identified molecules represent modified and/or truncated forms of C3a. I have previously speculated that a large number of SELDI-TOF–identified candidate biomarkers are acute-phase reactants (3)(4)(5)(6). C3, in accordance with my previous predictions, is also an acute-phase reactant whose serum concentration is increased or decreased in a wide variety of clinical conditions (12). I conclude that the positive identification of previously described candidate serum biomarkers, BC2 and BC3, confirms my previous predictions that these are high-abundance proteins produced by the liver and that they represent nonspecific biomarkers of acute-phase reaction. Their performance as breast cancer biomarkers, as assessed by SELDI immunoassay, is not impressive and likely of questionable clinical value.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,005 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».