Abstract 10P
Background
Breast cancer is the most common and leading cause of cancer-related deaths in women. Recently, the gut-microbiome's dysbiosis has been noticed to impact on breast cancer and its management.Due to the adaptability of the variety of microbes and chemotherapeutic drugs used to treat breast cancer, mechanistic information is essential, yet these models are tedious and challenging to manage.
Methods
We have developed a unique setup to examine the relationship between gut microbiota and anticancer medications with breast cancer cell lines using IdMOC. The outside well contained MCF-7 and MDA-MB-231, and inner well contained a culture-enriched microbiome (CEM) obtained from pooled human faeces. Our designed setup allows free interaction of bacterial metabolites with the cell lines. Chemotherapeutic drugs like doxorubicin, paclitaxel, and carboplatin were added to the cells with variable concentrations of CEM from 100 to 1000 CFU at the inner well of the setup. Expression of Bcl-2, Bax and caspases-3, ras (oncogen), and MEK were measured in MCF-7 and MDA-MB-231 by quantitative PCR.
Results
Our research revealed that the response to anticancer drugs was in the following order: Doxorubicin > Paclitaxel > Carboplatin. These substances increased Bax and caspase-3 while down regulating the anti-apoptotic genes ras, MEK, and Bcl-2. It's interesting to note that these chemotherapeutic drugs had superior anticancer efficacy when they had a high titer of microbiome at least 1000 CFU. Particularly, when MCF-7 and MDA-MB-231 cells were grown with 1000 CFU of CEM instead of 100 CFU, Doxorubicin was 56% more effective at causing apoptosis, Paclitaxel was 40% more effective, and Carboplatin was 27% more effective.
Conclusions
We offer a novel method to evaluate the impact of anticancer medications while accounting for the function of gut bacteria. In this approach, traditional breast cancer cell lines are co-cultured with enriched microbiomes. According to the results of the current study, maintaining the natural microbiota improves the efficiency of cancer chemotherapy drugs. The microbiome should therefore be taken into consideration as a key factor for determining the pharmacology of anti-cancer medications.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Raktim Mukherjee, Vishnu Priya Veeraraghavan, Megha Dave, Selvaraj Jayaraman, A. Thirumal Raj, Shankargouda Patil.
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
8P - Dismantling the role of liquid biopsy in predicting outcome of patients with early-stage breast cancer following neoadjuvant therapy: A systematic review
Presenter: Jeremiah Wijaya
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
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