PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

By sjmartinez • October 23, 2022

Giardiello D, Hooning MJ, Hauptmann M, Keeman R, Heemskerk-Gerritsen BAM, Becher H, Blomqvist C, Bojesen SE, Bolla MK, Camp NJ, Czene K, Devilee P, Eccles DM, Fasching PA, Figueroa JD, Flyger H, García-Closas M, Haiman CA, Hamann U, Hopper JL, Jakubowska A, Leeuwen FE, Lindblom A, Lubiński J, Margolin S, Martinez ME, Nevanlinna H, Nevelsteen I, Pelders S, Pharoah PDP, Siesling S, Southey MC, van der Hout AH, van Hest LP, Chang-Claude J, Hall P, Easton DF, Steyerberg EW, Schmidt MK. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients. Breast Cancer Res. 2022 Oct 21;24(1):69. doi: 10.1186/s13058-022-01567-3. PMID: 36271417.

Tags: BCAC, BRCA1/2 germline mutation, Breast Cancer Association Consortium, Breast cancer genetic predisposition, Clinical decision-making, Contralateral breast cancer, Contralateral preventive mastectomy, Hematology/Oncology, polygenic risk score, Prediction performance, Publications, Risk prediction

Utilizing natural language processing (NLP) to identify breast cancer-associated lung metastases from pathology reports to delineate characteristics of this site of recurrence

López JCV, Ho A, Hughes KS, Bardia A, Vidula N. Utilizing natural language processing (NLP) to identify breast cancer-associated lung metastases from pathology reports to[...]

Plain language summary of the LOGIC 2 study: Encorafenib, binimetinib, plus a third drug for people with BRAF V600-mutant melanoma

Dummer R, Sandhu S, Miller WH Jr, Butler MO, Taylor MH, Heinzerling L, Blank CU, Couselo EM, Burris HA 3rd, Postow MA, Chmielowski B, Middleton[...]

BASECAMP-1 screening study: a model for efficient enrolment in precision oncology clinical trials

Hecht JR, Molina JR, Liechty K, Welling TH, Grierson PM, Patel SP, Kirtane K, Morelli MP, Locke FL, Maloney DG, Punekar SR, Nikiforow S, Lin[...]