Abstract 3456
Background
Tumor pathologists classify tumors according to cell-level and tissue-level criteria, using molecular markers in addition to morphological patterns, as reported in WHO tumor classifications. Their work describes to some extent both inter-tumor and intra-tumor heterogeneity, but it is a tedious task with potential reproducibility issues. The molecular subtyping of tumors represents a sometimes parallel and sometimes convergent effort to describe the heterogeneity of tumors. It is automated, which attenuates the limitations of pathological scoring mentioned above, but so far it is poorly adapted to describe intra-tumor heterogeneity.
Methods
We propose a novel method, WISP (Weighted In Silico Pathology), which finely measures intra-tumor heterogeneity by automatically estimating the proportions of cell types present in a bulk tumor sample, these cell types being predefined based on histological or high-throughput molecular criterions.
Results
We illustrate the relevance of our approach in several tumor types including lung cancer, glioblastoma and pancreatic cancer. We show that the cell types that describe tumors for a given cancer type can fairly well recapitulate existing molecular classifications and are very consistent with an independent pathological scoring. We show that our method offers a more standardized and finer-grained solution for describing tumor heterogeneity than either pathological scoring or molecular subtyping. More importantly, we show that the proportion of certain cell types is strongly associated to prognosis and drug response.
Conclusions
This study provides a framework for standardized molecular pathology and fully reshapes the way in which we think about pathology or molecular subtyping. We believe that our results are a proof of concept demonstrating the importance of considering cell types intra-tumor proportions for personalized clinical care.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
CIT Program - Ligue Contre le Cancer.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
3930 - Safety profile of tepotinib in patients with advanced solid tumors: pooled analysis of phase I and II data
Presenter: Thomas Decaens
Session: Poster Display session 1
Resources:
Abstract
5373 - Drug-drug interaction profile of tepotinib with CYP3A and P-gp substrates
Presenter: Juergen Heuer
Session: Poster Display session 1
Resources:
Abstract
5455 - Bioavailability of tepotinib: impact of omeprazole and food
Presenter: Juergen Heuer
Session: Poster Display session 1
Resources:
Abstract
2618 - Tislelizumab Exposure-Response Analyses of Efficacy and Safety in Patients with Advanced Tumors
Presenter: Chi-Yuan Wu
Session: Poster Display session 1
Resources:
Abstract
2563 - Population Pharmacokinetics of Tislelizumab in Patients with Advanced Tumors
Presenter: Chi-Yuan Wu
Session: Poster Display session 1
Resources:
Abstract
2021 - The Addition of Metformin to Systemic Anticancer Therapy
Presenter: Jung Han Kim
Session: Poster Display session 1
Resources:
Abstract
5243 - Growth modulation index (GMI) as a comparative measure of clinical activity of larotrectinib versus prior systemic treatments in adult and pediatric TRK fusion cancer patients
Presenter: Antoine Italiano
Session: Poster Display session 1
Resources:
Abstract
598 - Analysis of the overall survival and main surrogates used for FDA approvals in solid and hematological malignancies.
Presenter: Maria Kleniewska-Wieczor
Session: Poster Display session 1
Resources:
Abstract
5381 - Comparison of intratumoral docetaxel exposure in cancer patients between nanoparticle entrapped docetaxel (CPC634) and conventional docetaxel (Cd): the CriTax study
Presenter: Ruben Van Eerden
Session: Poster Display session 1
Resources:
Abstract
2935 - Correlation of progression free survival-2 and overall survival in solid tumors
Presenter: Paul Mainwaring
Session: Poster Display session 1
Resources:
Abstract