Přehled o publikaci
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.