Excited to share with you the first manuscript of the lab! Here, we describe a novel synthetic lethal interaction between BRCA1-deficiency and EXO1 loss. (1/7)
https://t.co/IJWLkqQaDR
So glad to see you found a nice environment in Barca to continue your research as PI in cancer genomics. Many congrats!! Looking forward to your future projects with your friends at @HartwigMedical.
Thrilled to announce that today I begin a new chapter as Junior Group leader at the @VHIO in Barcelona. My team will work in close collaboration with the @HartwigMedical studying multiple facets of tumorigenesis and its interplay with the immune system 1/4
Anti-cancer therapies are highly mutagenic to cancer cells but the mutational impact on healthy tissues remains elusive. A study in @NatureComms characterises somatic mutations in healthy colon and liver adult stem cells after chemo- or radiotherapy. https://t.co/9qsqo6mEB4
The mutational impact 🧬of standard chemotherapies 💉💊 in healthy tissue is tissue-type specific!!
⚠️Now online at https://t.co/4XX9Xgqxwx⚠️
Together with @ewartkuijk and @ecuppen
@UMCU_CMM @Cancer_UMCU@oncodeinstitute
Si bien ls quimioterapias son altamente efectivas xa matar las células cancer osas, su uso sistémico tb aumenta la carga mutacional d las células madre normales responsables d la renovación dl tejido, lo q aumenta el riesgo de desarrollar segundos cánceres
https://t.co/1OQPh8xtM2
Systemic chemotherapies use increases the mutational burden of long-lived normal stem cells responsible for tissue renewal, thereby increasing the risk of developing second cancers. https://t.co/V8NrnwIuhC
Interesting study from @ecuppen & @avhoeck (some surprising, others not so surprising results!) in @NatureComms:
Common anti-cancer therapies induce somatic mutations in stem cells of healthy tissue
https://t.co/cZHRo6QdPy
All adult stem cells (ASCs) or ChemoRx are not the same!
The mutational impact 🧬of standard chemotherapies 💉💊 in healthy tissue is tissue-type specific!!
⚠️Now online at https://t.co/4XX9Xgqxwx⚠️
Together with @ewartkuijk and @ecuppen
@UMCU_CMM @Cancer_UMCU@oncodeinstitute
⚠️⚠️Amazing paper alert⚠️⚠️
Machine learning-based classification of tissue of origin for cancers of unknown primary based on whole-genome features. >90% sensitivity and specificity and highly informative feature explanation. Take a look at the tweetorial and the manuscript👇👇
Our work on CUP detection now online.
CUPLR, developed by @luannnguyen0, detects prim tumor type from WGS data. WGS-based DNA tests with CUPLR will improve diagnostics for cancer patients whose primary tumor is unknown, which is reimbursed in 🇳🇱 for these patients.
@ecuppen-lab
Our paper titled “Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features” is now online in @NatureComms!
@avhoeck@ecuppen
https://t.co/ISTckLyxyE
Check out the tweetorial below:
Great news! We are proud to have been able to contribute to this study with our Hartwig Medical Database. Do you want to use this data, too? https://t.co/juhp3CbQfP #personalizedtreatment#cancerresearch#cancergenomics
The metastatic cohort data is via the Hartwig database (see Dr. @ecuppen tweetorial linked below). An incredible freely available resource for the cancer research community.