Medical Oncologist, thoracic malignancies
Bergamo, Lombardy
Joined November 2018
- Tweets8
- Following53
- Followers20
- Likes44
Priscilla Cascetta retweeted
Great to be included in the 2025 @EORTC Mentoring and Career Development Program! The event got off to a great start with two days of in-person meeting that just concluded. Amazing initiative!
💡It’s a pleasure to welcome the EORTC Early Career Investigators to our headquarters for the launch of the ECI course.
EORTC #YECIs have access to a global network of researchers and benefit from tailored educational programmes like this one.
👉eortc.org/early-career/
Priscilla Cascetta retweeted
The answer to your question is Paris. #ELCC2025 @thelouisgros @PCascetta @JordiRemon @peters_solange
Priscilla Cascetta retweeted
It took us a while, but eventually this project on the #FamilyHistory in patients with NSCLC is now up and running at full speed! 📝🚀 translational-medicine.biome…
Thanks to @fabricitarella @MassimoDiMaio75 @RobertoFerrara_ @PCascetta @KazukiTK1077 and co-authors!
Thank you so much to @myESMO for this opportunity !
A brilliant preceptorship on #lungcancer 🫁 with outbreaking speakers and chairs at @TheChristieNHS and a good occasion to catch up with colleagues !
Great to see you all at the 'ESMO - @TheChristieNHS Preceptorship on #LungCancer 2023' in Manchester exploring multidisciplinary managemt, SoC & future perspectives. There are many #ESMOPreceptorship courses in 2023 covering a wide range of topics 👉 ow.ly/MblX50N7U3u
#lcsm
Thanks to @myESMO for giving me the opportunity to meet again some special collegues and friends at the « ESMO advanced course of biomarkers for precision medicine» helded in Zurich 🇨🇭 !!
& congrats to @valerioiebba for his excellent presentation
Out now in @Cancers_MDPI our review on #KRAS in #NSCLC, summarizing recent available evidences and ongoing trials, including targeted drugs and mechanisms of resistance.
Full 📃👇
mdpi.com/2072-6694/14/21/543…
@AriMarinel @vanesa_gregorc @dplanchard @NicolaNormanno
Priscilla Cascetta retweeted
Des médecins chercheurs ont développé un #algorithme prédictif de fatigue sévère chez les patientes atteintes de #cancerdusein.
Cet outil de prévention personnalisée vise à orienter précocement vers des stratégies de prise en charge ciblées.
👉bit.ly/3HDesaT
