J 2024

An invasion front gene expression signature for higher-risk patient selection in stage IIA MSS colon cancer

BUDINSKÁ, Eva, Martina ČARNOGURSKÁ, Tina CATELA IVKOVIĆ, Táňa MACHÁČKOVÁ, Marie BOUDNÁ et. al.

Basic information

Original name

An invasion front gene expression signature for higher-risk patient selection in stage IIA MSS colon cancer

Authors

BUDINSKÁ, Eva (703 Slovakia, belonging to the institution), Martina ČARNOGURSKÁ (703 Slovakia, belonging to the institution), Tina CATELA IVKOVIĆ (191 Croatia, belonging to the institution), Táňa MACHÁČKOVÁ (203 Czech Republic, belonging to the institution), Marie BOUDNÁ (203 Czech Republic, belonging to the institution), Lucie PIFKOVÁ (203 Czech Republic, belonging to the institution), Ondřej SLABÝ (203 Czech Republic, belonging to the institution), Beatrix BENCSIKOVA and Vlad POPOVICI (642 Romania, guarantor, belonging to the institution)

Edition

Frontiers in Oncology, Lausanne, Frontiers Media S.A. 2024, 2234-943X

Other information

Language

English

Type of outcome

Article in a journal

Country of publisher

Switzerland

Confidentiality degree

is not subject to a state or trade secret

References:

RIV identification code

RIV/00216224:14310/24:00136668

Organization

Přírodovědecká fakulta – Repository – Repository

UT WoS

001216004900001

EID Scopus

2-s2.0-85192072593

Keywords in English

colon cancer; invasion front; early stage; prognostic signature; stage II/MSS

Links

LM2023069, research and development project. NV19-03-00298, research and development project. 825410, interní kód Repo. 857560, interní kód Repo.
Changed: 28/5/2025 00:50, RNDr. Daniel Jakubík

Abstract

V originále

Stage II colon cancer (CC) encompasses a heterogeneous group of patients with diverse survival experiences: 87% to 58% 5-year relative survival rates for stages IIA and IIC, respectively. While stage IIA patients are usually spared the adjuvant chemotherapy, some of them relapse and may benefit from it; thus, their timely identification is crucial. Current gene expression signatures did not specifically target this group nor did they find their place in clinical practice. Since processes at invasion front have also been linked to tumor progression, we hypothesize that aside from bulk tumor features, focusing on the invasion front may provide additional clues for this stratification. A retrospective matched case-control collection of 39 stage IIA microsatellite-stable (MSS) untreated CCs was analyzed to identify prognostic gene expression-based signatures. The endpoint was defined as relapse within 5 years vs. no relapse for at least 6 years. From the same tumors, three different classifiers (bulk tumor, invasion front, and constrained baseline on bulk tumor) were developed and their performance estimated. The baseline classifier, while the weakest, was validated in two independent data sets. The best performing signature was based on invasion front profiles [area under the receiver operating curve (AUC) = 0.931 (0.815-1.0)] and contained genes associated with KRAS pathway activation, apical junction complex, and heme metabolism. Its combination with bulk tumor classifier further improved the accuracy of the predictions.

Files attached