2023
Molecular portraits of colorectal cancer morphological regions
BUDINSKÁ, Eva; Martina HRIVŇÁKOVÁ; Tina CATELA IVKOVIĆ; Marie BOUDNÁ; Rudolf NENUTIL et al.Základní údaje
Originální název
Molecular portraits of colorectal cancer morphological regions
Autoři
BUDINSKÁ, Eva; Martina HRIVŇÁKOVÁ; Tina CATELA IVKOVIĆ; Marie BOUDNÁ; Rudolf NENUTIL; Beatrix BENCSIKOVÁ; Dagmar AL TUKMACHI; Michaela RUČKOVÁ; Lenka DUBSKÁ; Ondřej SLABÝ; Josef FEIT; Dragomir MIHNEA-PAUL; Petra BOŘILOVÁ LINHARTOVÁ; Sabine TEJPAR a Vlad POPOVICI
Vydání
eLife, CAMBRIDGE, ELIFE SCIENCES PUBL LTD, 2023, 2050-084X
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30204 Oncology
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 6.400
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14310/23:00132477
Organizační jednotka
Přírodovědecká fakulta
UT WoS
EID Scopus
Klíčová slova anglicky
cancer biology; colorectal cancer; human; intra-tumor heterogeneity; morphology; transcriptomics
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 15. 3. 2024 14:44, Mgr. Marie Novosadová Šípková, DiS.
Anotace
V originále
Heterogeneity of colorectal carcinoma (CRC) represents a major hurdle towards personalized medicine. Efforts based on whole tumor profiling demonstrated that the CRC molecular subtypes were associated with specific tumor morphological patterns representing tumor subregions. We hypothesize that whole-tumor molecular descriptors depend on the morphological heterogeneity with significant impact on current molecular predictors. We investigated intra-tumor heterogeneity by morphology-guided transcriptomics to better understand the links between gene expression and tumor morphology represented by six morphological patterns (morphotypes): complex tubular, desmoplastic, mucinous, papillary, serrated, and solid/trabecular. Whole-transcriptome profiling by microarrays of 202 tumor regions (morphotypes, tumor-adjacent normal tissue, supportive stroma, and matched whole tumors) from 111 stage II-IV CRCs identified morphotype-specific gene expression profiles and molecular programs and differences in their cellular buildup. The proportion of cell types (fibroblasts, epithelial and immune cells) and differentiation of epithelial cells were the main drivers of the observed disparities with activation of EMT and TNF-α signaling in contrast to MYC and E2F targets signaling, defining major gradients of changes at molecular level. Several gene expression-based (including single-cell) classifiers, prognostic and predictive signatures were examined to study their behavior across morphotypes. Most exhibited important morphotype-dependent variability within same tumor sections, with regional predictions often contradicting the whole-tumor classification. The results show that morphotype-based tumor sampling allows the detection of molecular features that would otherwise be distilled in whole tumor profile, while maintaining histopathology context for their interpretation. This represents a practical approach at improving the reproducibility of expression profiling and, by consequence, of gene-based classifiers.
Návaznosti
| EF15_003/0000469, projekt VaV |
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| EF17_043/0009632, projekt VaV |
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| GA19-08646S, projekt VaV |
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| LM2018121, projekt VaV |
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| LX22NPO5102, projekt VaV |
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| 857560, interní kód MU (Kód CEP: EF17_043/0009632) |
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