Abstract 8P
Background
Numerous studies have suggested that the dynamics of ctDNA during neoadjuvant therapy in early breast cancer have consequences for prognosis. Still, each study's small number of participants prevents drawing firm conclusions. We aimed to determine the predictive value of liquid biopsy in predicting the outcome of patients with early-stage breast cancer following neoadjuvant therapy.
Methods
Each author searched PubMed, EMBASE, and EuroPMC databases from inception until 5 June 2022. We conducted this study according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The eligible studies must have the following inclusion criteria: Early-stage breast cancer patients receiving neoadjuvant systemic therapy of any kind, an observational study (prospective or retrospective), or randomized control trials, and have documented serial collection of ctDNA and outcome data of interest. The impact of ctDNA detection at several time intervals on relapse-free survival and overall survival was the primary key outcome of the current study. In terms of data extraction, we collected the following from eligible studies: author, year of publication, number of patients, method of ctDNA analysis, RFS, and OS. We applied the Cochrane Collaboration's Risk of Bias tool to thoroughly evaluate the risk of bias in all qualifying publications.
Results
11 were counted in the meta-analysis since they satisfied the qualifying requirements. ctDNA detection significantly decreased both RFS (HR of 4.21 [1.29, 13.81] and 5.90 [2.86, 12.15], respectively) and OS (HR 19.13 [6.90, 53.03] and HR 4.00 [1.90, 8.41], respectively), both at baseline and after the end of neoadjuvant therapy. 8 and 3 studies were good and moderate in quality, respectively.
Conclusions
Our meta-analysis showed that long-term outcomes in early breast cancer were associated with the presence of ctDNA at baseline and after neoadjuvant therapy. Harmonization of methodologies is crucial in forging ahead as it is currently unknown how the analysis method affects the prognostic importance of ctDNA. Further studies need to be conducted in the near future with a standardized analysis method of ctDNA.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Jeremiah Hilkiah Wijaya.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
6P - Deep learning radiomics supports perioperative treatment decisions and is associated with LncRNAs in breast cancer: A multicenter study
Presenter: Yunfang Yu
Session: Poster viewing 01
7P - Predicting lymph node metastasis and molecular subtype from pathology united with genomics in breast cancer with multitask deep learning
Presenter: Zehua Wang
Session: Poster viewing 01
9P - Development and validation of a pathogenomics model to improve the risk stratification of breast cancer: A deep learning study
Presenter: lin ruichong
Session: Poster viewing 01
10P - Enriched gut microbiota increases anticancer drug efficacy in breast cancer cell lines: A promising in vitro approach
Presenter: Selvaraj Jayaraman
Session: Poster viewing 01
11P - Preservation of intercostobrachial nerve during axillary lymph node dissection in breast cancer patients positively impacts chronic pain, sensory changes, and quality of life: Should it be the standard?
Presenter: Ajai Sasidhar
Session: Poster viewing 01
12P - Non-clinical factors influencing patient’s choice of mastectomy over breast conservation among Indian women with breast cancer
Presenter: Nivedita Sharma
Session: Poster viewing 01
13P - Hypofractionated radiotherapy in post operative breast cancer patients: 3-year clinical experience in a newly established cancer center
Presenter: Shaila Sharmin
Session: Poster viewing 01
14P - The impact of the deep inspiration breath-hold (DIBH) technique in the heart and other organ-at-risk (OAR) dose sparing in the postoperative radiotherapy to the left early breast cancer
Presenter: Hui-Ling Yeh
Session: Poster viewing 01
15P - Delays in breast cancer treatment in a tertiary hospital
Presenter: Rogelio Velasco
Session: Poster viewing 01
16P - The prognostic value of androgen receptor expression in triple-negative breast cancer patients
Presenter: Rasha Haggag
Session: Poster viewing 01