High-Throughput Profiling of Colorectal Cancer Liver Metastases Reveals Intra- and Inter-Patient Heterogeneity in the EGFR and WNT Pathways Associated with Clinical Outcome.

EGFR WNT colorectal cancer high-throughput profiling intratumoral heterogeneity liver metastasis

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
21 Apr 2022
Historique:
received: 10 03 2022
accepted: 11 04 2022
entrez: 14 5 2022
pubmed: 15 5 2022
medline: 15 5 2022
Statut: epublish

Résumé

Seventy percent of patients with colorectal cancer develop liver metastases (CRLM), which are a decisive factor in cancer progression. Therapy outcome is largely influenced by tumor heterogeneity, but the intra- and inter-patient heterogeneity of CRLM has been poorly studied. In particular, the contribution of the WNT and EGFR pathways, which are both frequently deregulated in colorectal cancer, has not yet been addressed in this context. To this end, we comprehensively characterized normal liver tissue and eight CRLM from two patients by standardized histopathological, molecular, and proteomic subtyping. Suitable fresh-frozen tissue samples were profiled by transcriptome sequencing (RNA-Seq) and proteomic profiling with reverse phase protein arrays (RPPA) combined with bioinformatic analyses to assess tumor heterogeneity and identify WNT- and EGFR-related master regulators and metastatic effectors. A standardized data analysis pipeline for integrating RNA-Seq with clinical, proteomic, and genetic data was established. Dimensionality reduction of the transcriptome data revealed a distinct signature for CRLM differing from normal liver tissue and indicated a high degree of tumor heterogeneity. WNT and EGFR signaling were highly active in CRLM and the genes of both pathways were heterogeneously expressed between the two patients as well as between the synchronous metastases of a single patient. An analysis of the master regulators and metastatic effectors implicated in the regulation of these genes revealed a set of four genes (SFN, IGF2BP1, STAT1, PIK3CG) that were differentially expressed in CRLM and were associated with clinical outcome in a large cohort of colorectal cancer patients as well as CRLM samples. In conclusion, high-throughput profiling enabled us to define a CRLM-specific signature and revealed the genes of the WNT and EGFR pathways associated with inter- and intra-patient heterogeneity, which were validated as prognostic biomarkers in CRC primary tumors as well as liver metastases.

Identifiants

pubmed: 35565214
pii: cancers14092084
doi: 10.3390/cancers14092084
pmc: PMC9104154
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Federal Ministry of Education and Research
ID : 0316173
Organisme : Federal Ministry of Education and Research
ID : 031L0024A

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Auteurs

Kerstin Menck (K)

Department of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, 48149 Münster, Germany.
West German Cancer Center, University Hospital Münster, 48149 Münster, Germany.
Department of Hematology/Medical Oncology, University Medical Center Göttingen, 37075 Göttingen, Germany.

Darius Wlochowitz (D)

Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.

Astrid Wachter (A)

Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.

Lena-Christin Conradi (LC)

Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, 37075 Göttingen, Germany.

Alexander Wolff (A)

Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.

Andreas H Scheel (AH)

Department of Pathology, Universal Hospital of Köln, 50937 Köln, Germany.

Ulrike Korf (U)

Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.

Stefan Wiemann (S)

Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.

Hans-Ulrich Schildhaus (HU)

Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany.

Hanibal Bohnenberger (H)

Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany.

Edgar Wingender (E)

Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.

Tobias Pukrop (T)

Department of Hematology/Medical Oncology, University Medical Center Göttingen, 37075 Göttingen, Germany.
Clinic for Internal Medicine III, Hematology and Medical Oncology, University Regensburg, 93053 Regensburg, Germany.

Kia Homayounfar (K)

Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, 37075 Göttingen, Germany.

Tim Beißbarth (T)

Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.

Annalen Bleckmann (A)

Department of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, 48149 Münster, Germany.
West German Cancer Center, University Hospital Münster, 48149 Münster, Germany.
Department of Hematology/Medical Oncology, University Medical Center Göttingen, 37075 Göttingen, Germany.

Classifications MeSH