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Enregistrement W4249005193 · doi:10.4161/cbt.4.9.2071

TRPS-1, a DNA-Binding Protein and Potential Tumor Antigen, is Overexpressed in Breast Cancer

2005· article· en· W4249005193 sur OpenAlexaboutno aff

Notice bibliographique

RevueCancer Biology & Therapy · 2005
Typearticle
Langueen
DomaineMedicine
ThématiqueMonoclonal and Polyclonal Antibodies Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBreast cancerCancerCA 15-3CA15-3Cancer researchGeneOncologyMedicineAntigenDuctal carcinomaInternal medicineBiologyImmunologyGenetics

Résumé

récupéré en direct d'OpenAlex

AbstractA gene that appears to help regulate normal embryonic development is found at high levels in virtually all forms of breast cancer, according to a new study led by Laszlo Radvanyi, Ph.D., associate professor of breast and melanoma medical oncology at The University of Texas M. D. Anderson Cancer Center.The finding, published in the Aug. 2, 2005, issue of the Proceedings of the National Academy of Sciences and available on-line July 25, shows that the gene, normally made in small amounts in normal breast tissue, somehow becomes over-expressed in breast cancer cells. Researchers hope to use the cancer-specific protein to train the immune system to specifically attack breast cancer cells."There is a tremendous need for new molecular targets to treat breast cancer," Radvanyi says. "There are very few bona fide targets that are exquisitely specific for breast cancer. We believe this is one of them."Radvanyi and his collaborators at Sanofi Pasteur, Toronto, Canada, zeroed in on the gene, called TRPS-1, after an exhaustive search for targets that are found at higher levels in breast cancer than in normal tissue. The researchers compared the gene levels of more than 50,000 known genes in 54 breast cancer specimens and 289 normal samples representing 75 tissues or organs. The breast cancer specimens included 10 examples of early breast cancer or ductal carcinoma in situ (DCIS), 38 locally invasive breast cancers and six representing metastatic disease. They narrowed down their search by eliminating genes commonly found in normal tissue and those predicted to encode proteins that are excreted from the cell."We were interested in identifying proteins that could be potential tumor antigens activating cytotoxic T-cells or tumor killer cells," Radvanyi says. "We wanted proteins that would make good targets for a cancer vaccine."Finally, they zeroed in on TRPS-1, a gene they found at high levels in all forms of breast cancer, from DCIS to invasive disease, but in none of the normal tissues tested, except for low levels found in normal breast tissue.The TRPS-1 gene turned out to be associated with a rare, inherited genetic disease in which loss of the gene function results in muscle and bone deformities. The gene is located on human chromosome 8 in a region previously known to be associated with breast cancer and other oncogenes. The scientists don't yet know what the TRPS-1 protein is doing during the development of breast cancer, but they have started gathering clues to its role. Scientists at other institutions have shown TRPS-1 is a DNA-binding protein that regulates how other proteins get produced. It also appears to be involved in recognition of steroids such as estrogen. Radvanyi speculates that the protein may help regulate cell growth and perhaps estrogen recognition."Based on our findings, we believe that TRPS-1 is involved in the earliest stages of breast cancer," he says.The success of the breast cancer drug Herceptin, an antibody that specifically attacks breast cancer cells in which the Her2/neu gene is active, has made immunotherapy an attractive option for treating breast cancer. However, only about one-third of breast cancer patients are candidates for Herceptin treatment. Radvanyi's technique does not use antibodies, but instead attempts to get powerful immune system cells called T-cells to attack the cancer cells.Once they had identified TRPS-1, the researchers wanted to test its ability to act as an antigen, a protein that could prime the immune system to attack breast cancer cells. They used portions of the TRPS-1 protein as antigens to train human T-cells to attack cells containing TRPS-1. T-cells are white blood cells of the immune system that recognize and destroy bacteria, viruses and other foreign tissue. The scientists showed T-cells trained to detect TRPS-1 would attack and kill breast cancer cells containing the protein in laboratory experiments."This is exciting because TRPS-1 appears to be over-expressed only in cancers and not in normal tissue," Radvanyi says. "This makes it much less likely that normal tissue would be attacked in an immunotherapy setting."The researchers' next steps will be to test more patient samples at M. D. Anderson and try to correlate levels of TRPS-1 to other known breast cancer markers, such as HER2/neu and the estrogen receptor. They also want to understand what the protein's targets are inside the cell."If we understand its targets, we might be able to design inhibitors that disrupt its action, which could be clinically important given its early appearance in breast cancer," Radvanyi says.The research was funded by Sanofi Pasteur and in part by a Technology Partnerships Canada loan to Sanofi Pasteur, which has patented TRPS-1. Senior author Neil Berinstein, M.D., Ph.D., with Devender Singh-Sandhu, Ph.D., Scott Gallichan, Ph.D., Corey Lovitt, M.Sc., Artur Pedyczak, Ph.D., Jalil Hakimi, B.Sc., Jean Shortreed, B.Sc., Melinda Donovan, M.Sc., Mark Parrington, Ph.D., Pamela Dunn, Ph.D., Ray Oomen, Ph.D., James Tartaglia, Ph.D., and Gustavo Mallo, Ph.D. of Sanofi Pasteur as additional authors; Kurt Gish, Ph.D. of Protein Design Labs, Fremont, Calif.; Jane Armes, M.D., and Deon Venter, M.D., of MacCallum Cancer Institute, University of Melbourne, Melbourne, Australia; and Kevin Kwok, B.Sc., Wedad Hanna, M.D., and Judith Zubovits, M.D., of Sunnybrook and Women's College Hospital, Toronto, also contributed to the research.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,470
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,026
Tête enseignante GPT0,342
Écart entre enseignants0,317 · 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 tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

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
Publié2005
Routes d'admission1
Résumé présentoui

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