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2.11 ETIOLOGIE - ALIMENTATION
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3.1 PRÉVENTION - TABAC
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3.1.1 PRÉVENTION - TABAC - E-CIGS
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4.2 DÉP., DIAG. & PRONO. - GÉNOME
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5. TRAITEMENTS
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5.12 IMMUNOTHÉRAPIES
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5.12.5 IMMUNOTHÉRAPIES - PHARMA
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5.13 WCLC
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5.6.1 ESMO - ESSAIS
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ESMO Opens with Survival Benefits from Long-Term Data in Pivotal Phase III Trials [OBR]
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Generally considered the gold standard for practice change, survival benefits were associated with osimertinib in the FLAURA lung cancer trial and two different CDK 4/6 inhibitors in the MONARCH 2 and MONALEESA-3 breast cancer trials. New five-year data from the CHECKMATE 067 trial did not just reaffirm a survival advantage for combination checkpoint inhibitors in metastatic melanoma but a potential advantage for disease cure.
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5.6.10 ESMO - VESSIE
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Seattle Genetics makes case it can be more than Adcetris [Biopharma Dive]
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A Phase 1 trial combining Seattle Genetics and partner Astellas' enfortumab vedotin with Merck & Co.'s Keytruda, data showed the drug pairing shrank tumors in 32 out of 45 previously untreated patients with metastatic bladder cancer — a response rate markedly higher than what Keytruda's shown alone.
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5.6.13 ESMO - PROSTATE
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5.6.14 ESMO - OVAIRE
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5.6.15 ESMO - VADS
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5.6.16 ESMO - APPAREIL DIGESTIF
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5.6.2 ESMO - DIVERS
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5.6.21 ESMO - BIOPSIES LIQUIDES
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5.6.25 ESMO - VOIES BILIAIRES
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5.6.4.1 ESMO - POUMON (OSIMERTINIB)
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5.6.6 ESMO - SEIN
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TAILORx High-Risk Group Analysis Adds to Oncotype DX Chemo-Prediction Data [Genome Web]
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In their new study of the TAILORx cohort, Sparano and other investigators examined outcomes for a much larger group of high risk score women than the B20 analysis, looking at outcomes among 1,389 women in the trial who had risk scores of at least 26 and who were treated largely with standard of care taxane and/or anthracycline-containing adjuvant chemotherapy regimens.
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5.6.7 ESMO - IMMUNOTHÉRAPIES
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5.6.8 ESMO - CÔLON-RECTUM
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5.9 AACR
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6.10 POLITIQUES
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6.6 PUBLICATIONS
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6.7 DMP, BIG DATA & APPLIS
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6.7.1 IA/BIOINFORMATIQUE
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An AI-Generated Drug? [In The Pipeline]
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Taken together these difficulties are significant and will, I think, make it difficult to raise money for such a development program at all. My own guess is that Deep Genomics will not be able to overcome them, but again, I’m open to being proven wrong.
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