12P TIME-TNBC: A landmark-based dynamic prediction model for patients with triple-negative breast cancer
Conferences
Shang, Q; Xu, K; Luo, S; Wang, X
Published in: Annals of Oncology
December 2025
Duke Scholars
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Published In
Annals of Oncology
DOI
ISSN
0923-7534
Publication Date
December 2025
Volume
36
Start / End Page
S1768 / S1769
Publisher
Elsevier BV
Related Subject Headings
- Oncology & Carcinogenesis
- 3211 Oncology and carcinogenesis
- 3202 Clinical sciences
Citation
APA
Chicago
ICMJE
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Shang, Q., Xu, K., Luo, S., & Wang, X. (2025). 12P TIME-TNBC: A landmark-based dynamic prediction model for patients with triple-negative breast cancer. In Annals of Oncology (Vol. 36, pp. S1768–S1769). Elsevier BV. https://doi.org/10.1016/j.annonc.2025.10.846
Shang, Q., K. Xu, S. Luo, and X. Wang. “12P TIME-TNBC: A landmark-based dynamic prediction model for patients with triple-negative breast cancer.” In Annals of Oncology, 36:S1768–69. Elsevier BV, 2025. https://doi.org/10.1016/j.annonc.2025.10.846.
Shang Q, Xu K, Luo S, Wang X. 12P TIME-TNBC: A landmark-based dynamic prediction model for patients with triple-negative breast cancer. In: Annals of Oncology. Elsevier BV; 2025. p. S1768–9.
Shang, Q., et al. “12P TIME-TNBC: A landmark-based dynamic prediction model for patients with triple-negative breast cancer.” Annals of Oncology, vol. 36, Elsevier BV, 2025, pp. S1768–69. Crossref, doi:10.1016/j.annonc.2025.10.846.
Shang Q, Xu K, Luo S, Wang X. 12P TIME-TNBC: A landmark-based dynamic prediction model for patients with triple-negative breast cancer. Annals of Oncology. Elsevier BV; 2025. p. S1768–S1769.
Published In
Annals of Oncology
DOI
ISSN
0923-7534
Publication Date
December 2025
Volume
36
Start / End Page
S1768 / S1769
Publisher
Elsevier BV
Related Subject Headings
- Oncology & Carcinogenesis
- 3211 Oncology and carcinogenesis
- 3202 Clinical sciences