ArticlePloS one2019
Impact of time to local recurrence on the occurrence of metastasis in breast cancer patients treated with neoadjuvant chemotherapy: A random forest survival approach.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- LncRNA VIM-AS1 is a potential prognostic biomarker and effects on tumor cellular behaviors in breast cancer via impairing miR-29a-3p.Discover oncology · 2025Article
- Comparative study of machine learning and statistical survival models for enhancing cervical cancer prognosis and risk factor assessment using SEER data.Scientific reports · 2024Article
- Automatic image segmentation and online survival prediction model of medulloblastoma based on machine learning.European radiology · 2024Article
- Impact of time to first relapse on long-term outcome in adult retroperitoneal sarcoma patients after radical resection.International journal of clinical oncology · 2022Article
- A pan-cancer analysis of GINS complex subunit 4 to identify its potential role as a biomarker in multiple human cancers.American journal of cancer research · 2022Article
- Fenchel duality of Cox partial likelihood with an application in survival kernel learning.Artificial intelligence in medicine · 2021Article
- Immune-related gene data-based molecular subtyping related to the prognosis of breast cancer patients.Breast cancer (Tokyo, Japan) · 2021Article
- A Decision-Making Supporting Prediction Method for Breast Cancer Neoadjuvant Chemotherapy.Frontiers in oncology · 2020Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe studied the relationship between time to ipsilateral breast tumor recurrence (IBTR) and distant metastasis-free survival (DMFS) in patients with breast cancer treated by neoadjuvant chemotherapy (NAC).
methodsBetween 2002 and 2012, 1199 patients with primary breast cancer were treated with NAC. Clinical, radiological and pathological data were retrieved from medical records. Multivariate analysis was performed with the random survival forest (RSF) method, to evaluate the relationship between time to local recurrence and DMFS.
resultsTime to IBTR, local recurrence and molecular subtype were the factors most strongly associated with DMFS. In the total population, DMFS increased linearly with recurrence time, up to 50 months. For recurrences after 50 months, DMFS was similar for all times to recurrence. Considering molecular subtypes separately, the threshold was similar for the TNBC subtype (50 months), but appeared to occur later for the luminal and HER2-positive subtypes (75 months).
conclusionA threshold of 50 months seems to differentiate between early and late recurrences and could be used to guide the medical management of local breast tumour recurrences.
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