Abstract 1197P
Background
Platinum therapies cisplatin (CP) and carboplatin (CB) are the backbone of chemotherapy regimens. While the mechanism of action and survival rates are comparable, the toxicity profiles, response rates and administration differ. This causes clinicians to question when to favor CP or CB as best treatment for their cancer patients. Here, we aimed to identify patient-specific sensitivities to CP and CB in multiple indications using fresh ex vivo microtumors.
Methods
Fresh tumor tissue was collected from 212 patients (132 ovarian (OC), 49 bladder (BC) and 31 lung cancer (LC)). Microtumors with native tumor microenvironment were exposed to up to 12 chemotherapies and AUCs were calculated. 5 hierarchical factors were modelled: tissue sensitivity (f1), treatment strength (f2), tissue-specific treatment effects (f3), patient-specific overall chemosensitivity score (f4) and patient-specific drug sensitivity (f5). 46 samples (17 OC, 20 BC and 9 LC) were tested ex vivo for both CP and CB. Plasma CA125 levels (30 OC patients) and radiological responses (RECIST 1.1) (7 BC patients) were used for clinical correlation.
Results
The patient chemosensitivity score (f4) significantly correlated with CA125 decay in OC patients (r = 0.58, 95% CI 0.31-0.79, p < 0.001) and radiological response in BC patients. At tissue-level (f3), BC patients were more sensitive to CP (but not CB) compared to OC and LC patients (p = 0.05, Cohen’s d 1.9). Using f5 to extract personal treatment recommendations, we identified that 16/46 patients demonstrated significant (p <0.05) differences in CP vs CB treatment sensitivity, of which 56% (9/16) deviates from the general guidelines (67% in BC (6/9), 60% in OC (3/5), 0% in LC (0/2)).
Conclusions
This work presents an ex vivo basket study employing clinically validated functional tumor testing to identify multi-level responses to CP vs CB. Ex vivo tumor testing and integrated data analysis demonstrates that even if CP and CB perform on average equally well in large cohorts, differential tissue- and patient-specific responses are present. In this way, ex vivo tumor testing can provide personalized sensitivity profiles to support clinical decision making.
Clinical trial identification
IRB P18.032.
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
VitroScan.
Disclosure
E. Koedoot, D. van der Meer, L.J. Ceton, T. Sijsenaar, W. Vader: Financial Interests, Personal, Full or part-time Employment: VitroScan. All other authors have declared no conflicts of interest.
Resources from the same session
212P - BRGSF-HIS mice as a predictive tool for safety assessment of biologics
Presenter: Kader Thiam
Session: Poster session 09
213P - Constructing a high-definition patient-digital twin (PDT) in treatment-naïve women with advanced cancer
Presenter: Leonardo Garma
Session: Poster session 09
215P - Detection of MUTYH for the prognosis and chemotherapy responsiveness of patients with non-small cell lung cancer
Presenter: Chi Wai Wong
Session: Poster session 09
216P - β-catenin is a potential prognostic biomarker in uterine sarcoma
Presenter: Ying Cai
Session: Poster session 09
218P - Exploiting a unique glycosaminoglycan for novel pan-cancer therapies and diagnostics
Presenter: Mette Agerbæk
Session: Poster session 09
219P - The landscape and prognostic impact of germline HLA-A subtypes in patients with advanced solid cancers
Presenter: Kyrillus Shohdy
Session: Poster session 09
220P - The role of fucosyltransferase 1 (FUT1) in CRC as a putative prognostic and predictive biomarker
Presenter: Lorenz Pammer
Session: Poster session 09
221P - ANGPTL4's role in cancer: A meta analysis and bioinformatics exploration
Presenter: Osama Younis
Session: Poster session 09
222P - Artificial intelligence (AI) based prognostication from baseline computed tomography (CT) scans in a phase III advanced non-small cell lung cancer (aNSCLC) trial
Presenter: Omar Khan
Session: Poster session 09