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| 001 | 153731 | ||
| 005 | 20240229112711.0 | ||
| 024 | 7 | _ | |a 10.1186/s13058-019-1221-1 |2 doi |
| 024 | 7 | _ | |a pmid:31847907 |2 pmid |
| 024 | 7 | _ | |a pmc:PMC6918633 |2 pmc |
| 024 | 7 | _ | |a 1465-5411 |2 ISSN |
| 024 | 7 | _ | |a 1465-542X |2 ISSN |
| 024 | 7 | _ | |a altmetric:72996544 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2020-00428 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Giardiello, Daniele |b 0 |
| 245 | _ | _ | |a Prediction and clinical utility of a contralateral breast cancer risk model. |
| 260 | _ | _ | |a London |c 2019 |b BioMed Central |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1638455569_9816 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Breast cancer survivors are at risk for contralateral breast cancer (CBC), with the consequent burden of further treatment and potentially less favorable prognosis. We aimed to develop and validate a CBC risk prediction model and evaluate its applicability for clinical decision-making.We included data of 132,756 invasive non-metastatic breast cancer patients from 20 studies with 4682 CBC events and a median follow-up of 8.8 years. We developed a multivariable Fine and Gray prediction model (PredictCBC-1A) including patient, primary tumor, and treatment characteristics and BRCA1/2 germline mutation status, accounting for the competing risks of death and distant metastasis. We also developed a model without BRCA1/2 mutation status (PredictCBC-1B) since this information was available for only 6% of patients and is routinely unavailable in the general breast cancer population. Prediction performance was evaluated using calibration and discrimination, calculated by a time-dependent area under the curve (AUC) at 5 and 10 years after diagnosis of primary breast cancer, and an internal-external cross-validation procedure. Decision curve analysis was performed to evaluate the net benefit of the model to quantify clinical utility.In the multivariable model, BRCA1/2 germline mutation status, family history, and systemic adjuvant treatment showed the strongest associations with CBC risk. The AUC of PredictCBC-1A was 0.63 (95% prediction interval (PI) at 5 years, 0.52-0.74; at 10 years, 0.53-0.72). Calibration-in-the-large was -0.13 (95% PI: -1.62-1.37), and the calibration slope was 0.90 (95% PI: 0.73-1.08). The AUC of Predict-1B at 10 years was 0.59 (95% PI: 0.52-0.66); calibration was slightly lower. Decision curve analysis for preventive contralateral mastectomy showed potential clinical utility of PredictCBC-1A between thresholds of 4-10% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers.We developed a reasonably calibrated model to predict the risk of CBC in women of European-descent; however, prediction accuracy was moderate. Our model shows potential for improved risk counseling, but decision-making regarding contralateral preventive mastectomy, especially in the general breast cancer population where limited information of the mutation status in BRCA1/2 is available, remains challenging. |
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| 700 | 1 | _ | |a Steyerberg, Ewout W |b 1 |
| 700 | 1 | _ | |a Hauptmann, Michael |b 2 |
| 700 | 1 | _ | |a Adank, Muriel A |b 3 |
| 700 | 1 | _ | |a Akdeniz, Delal |b 4 |
| 700 | 1 | _ | |a Blomqvist, Carl |b 5 |
| 700 | 1 | _ | |a Bojesen, Stig E |b 6 |
| 700 | 1 | _ | |a Bolla, Manjeet K |b 7 |
| 700 | 1 | _ | |a Brinkhuis, Mariël |b 8 |
| 700 | 1 | _ | |a Chang-Claude, Jenny |0 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253 |b 9 |u dkfz |
| 700 | 1 | _ | |a Czene, Kamila |b 10 |
| 700 | 1 | _ | |a Devilee, Peter |b 11 |
| 700 | 1 | _ | |a Dunning, Alison M |b 12 |
| 700 | 1 | _ | |a Easton, Douglas F |b 13 |
| 700 | 1 | _ | |a Eccles, Diana M |b 14 |
| 700 | 1 | _ | |a Fasching, Peter A |b 15 |
| 700 | 1 | _ | |a Figueroa, Jonine |b 16 |
| 700 | 1 | _ | |a Flyger, Henrik |b 17 |
| 700 | 1 | _ | |a García-Closas, Montserrat |b 18 |
| 700 | 1 | _ | |a Haeberle, Lothar |b 19 |
| 700 | 1 | _ | |a Haiman, Christopher A |b 20 |
| 700 | 1 | _ | |a Hall, Per |b 21 |
| 700 | 1 | _ | |a Hamann, Ute |0 P:(DE-He78)537e07b3e57b16c7b214fc2242e4326b |b 22 |u dkfz |
| 700 | 1 | _ | |a Hopper, John L |b 23 |
| 700 | 1 | _ | |a Jager, Agnes |b 24 |
| 700 | 1 | _ | |a Jakubowska, Anna |b 25 |
| 700 | 1 | _ | |a Jung, Audrey |0 P:(DE-He78)bce1fdec5ce564e2666156d96aeabec9 |b 26 |u dkfz |
| 700 | 1 | _ | |a Keeman, Renske |b 27 |
| 700 | 1 | _ | |a Kramer, Iris |b 28 |
| 700 | 1 | _ | |a Lambrechts, Diether |b 29 |
| 700 | 1 | _ | |a Le Marchand, Loic |b 30 |
| 700 | 1 | _ | |a Lindblom, Annika |b 31 |
| 700 | 1 | _ | |a Lubiński, Jan |b 32 |
| 700 | 1 | _ | |a Manoochehri, Mehdi |0 P:(DE-He78)16b8745cffb0db0d366978d3afe17ebc |b 33 |u dkfz |
| 700 | 1 | _ | |a Mariani, Luigi |b 34 |
| 700 | 1 | _ | |a Nevanlinna, Heli |b 35 |
| 700 | 1 | _ | |a Oldenburg, Hester S A |b 36 |
| 700 | 1 | _ | |a Pelders, Saskia |b 37 |
| 700 | 1 | _ | |a Pharoah, Paul D P |b 38 |
| 700 | 1 | _ | |a Shah, Mitul |b 39 |
| 700 | 1 | _ | |a Siesling, Sabine |b 40 |
| 700 | 1 | _ | |a Smit, Vincent T H B M |b 41 |
| 700 | 1 | _ | |a Southey, Melissa C |b 42 |
| 700 | 1 | _ | |a Tapper, William J |b 43 |
| 700 | 1 | _ | |a Tollenaar, Rob A E M |b 44 |
| 700 | 1 | _ | |a van den Broek, Alexandra J |b 45 |
| 700 | 1 | _ | |a van Deurzen, Carolien H M |b 46 |
| 700 | 1 | _ | |a van Leeuwen, Flora E |b 47 |
| 700 | 1 | _ | |a van Ongeval, Chantal |b 48 |
| 700 | 1 | _ | |a Van't Veer, Laura J |b 49 |
| 700 | 1 | _ | |a Wang, Qin |b 50 |
| 700 | 1 | _ | |a Wendt, Camilla |b 51 |
| 700 | 1 | _ | |a Westenend, Pieter J |b 52 |
| 700 | 1 | _ | |a Hooning, Maartje J |b 53 |
| 700 | 1 | _ | |a Schmidt, Marjanka K |b 54 |
| 773 | _ | _ | |a 10.1186/s13058-019-1221-1 |g Vol. 21, no. 1, p. 144 |0 PERI:(DE-600)2041618-0 |n 1 |p 144 |t Breast cancer research |v 21 |y 2019 |x 1465-542X |
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