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Enregistrement W2226333405 · doi:10.6000/1929-2279.2015.04.04.8

Molecular Technologies in Gynecologic Oncology

2015· article· en· W2226333405 sur OpenAlexvenueno aff
Ciro Comparetto, Franco Borruto

Notice bibliographique

RevueJournal of cancer research updates · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueOvarian cancer diagnosis and treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCancerOvarian cancerMedicineMolecular pathologyMolecular diagnosticsOncologyInternal medicineGeneBiologyPathologyBioinformaticsGenetics

Résumé

récupéré en direct d'OpenAlex

In recent years, the application of molecular biological techniques to the diagnosis and treatment of cancer has proved successful. In this kind of pathologies, molecular diagnosis is of fundamental importance as it allows identification at a pre-symptomatic stage, and then in the early phase, of the subjects in which cancer disease is developing. Molecular diagnosis of tumors by deoxy-ribonucleic acid (DNA) analysis is conducted on biological samples such as urine, feces, sputum, vaginal swab, and blood, searching and identifying in the various samples for the presence of cell carriers of an altered genetic information. The sensitivity of this kind of analysis is so high as to be very reliable even in the presence in the sample of a few tumor cells, level not reachable through the traditional “tumor markers”. The achievement of a facilitated early diagnosis of the tumor and, consequently, through the organization of specific therapeutic interventions, the prevention of the invasiveness of the pathology, allow to insert this kind of analysis among the most important investigations in the field of cancer prevention. Molecular oncology examinations have targeted the mutational study of the most involved genes in the onset of hereditary and/or family cancers such as breast, ovary, colon, melanoma, stomach, thyroid, etc. In addition, given the growing focus on the molecular mechanisms underlying the individual response to conventional chemotherapeutic drugs and molecular targeted agents responsible for drug resistance, pharmacogenetics exams have been added to those of molecular oncology. Some genes, when altered and/or mutated, can cause the development of tumors. In some types of cancer, the mutation may affect only somatic cells: in this case, the development will manifest itself only in the subject carrier of the mutation. Otherwise, if the mutation affects germ cells genes, it may occur the possibility to convey to children a susceptibility to the development of tumors. In fact, a significant proportion of cancers are hereditary. For example, it is estimated that about 7% of breast cancers, 10% of ovarian cancers, and about 5-10% of colorectal cancers, are caused by recurrent mutations at specific genes level. The early detection of cancer, with the ability to identify individuals at risk of developing the disease, is now the best way to reduce mortality from it. Determining whether a person has a mutation in a gene involved in neoplastic transformation that predisposes to the development of cancer (susceptibility or genetic predisposition) can significantly decrease its incidence and mortality. For example, as a result of in-depth studies of families at risk, it has been estimated that women who have inherited mutations in breast cancer genes (BRCA1 or BRCA2) are likely to develop breast cancer in 87% of cases, compared with 10% of non-bearers. This probability falls to 44-60% in the case of ovarian cancer, compared with 1% probability of not carriers. In this area, basic research has been developed with the aim of contributing to the study of the molecular mechanisms of oncogenesis, which generally has multistage character, with an initial immortalization and cell transformation and subsequent tumor progression. In this regard, studies at the molecular and functional level have been focused on models of different types of cancer, e.g. melanoma. In parallel, it has been studied the possible oncogenetic role of certain families of genes that have a functional role in embryogenesis, and in general in cell proliferation/differentiation, e.g. homeotic (HOX) genes. The gene expression profiles of purified cancer cells can be evaluated by microarray technique, comparing them with those of normal cells: comparative analysis, based on specific software, allows the identification of genes selectively modulated in the genetic program of tumor cells, in particular of genes specifically involved in the onset and progression of tumors. The modern goal of cancer therapy is to eliminate the disease by minimizing trauma and paying attention to the quality of life (QOL). With the passing of time, there has been a change of therapeutic paradigms and we have gone from the objective of maximum tolerable treatment to that of minimum effective treatment. This clinical imperative has its foundation in the quick transfer of biological knowledges to the care, integrating molecular informations with the development of new treatment methods. Especially for a delicate operation, even psychologically, such as that for breast cancer. In this setting, we have focused particularly on the technique of sentinel lymph node, demonstrating the possibility to avoid the treatment of the axilla in patients at low risk of recurrence. The term “molecular targeted therapy” is used to refer to agents that target specific pathways activated in the processes of growth, survival, invasion, and metastasis of cancer cells and in tumor neo-angiogenesis. The large and perhaps excessive optimism, caused by the gradual deepening of the knowledges of these mechanisms, has received a further boost by the arrival on the therapeutic scene of imatinib and other drugs belonging to the class of targeted biomolecular agents, including some monoclonal antibodies (McAb) such as trastuzumab, rituximab, cetuximab, and bevacizumab, and some small molecules, already entered clinical practice. But the question we must ask is whether that enthusiasm is justified and supported by scientifically strong and clinically proven data. The difficulties encountered in the research and development of new truly effective molecules and the disappointing results obtained in the early life of some of these agents and, not least, the high costs of treatments must lead to greater caution. The medical oncologist has the inescapable duty to possess sufficient culture to be able to properly use these new therapies in his diagnosis and treatment decision-making.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,033

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,002
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0100,006

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.

Tête enseignante Opus0,128
Tête enseignante GPT0,484
Écart entre enseignants0,356 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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