Evidence map›Paper›PMID 35565214›Full record

ArticleCancers2022

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

Kerstin Menck, Darius Wlochowitz, Astrid Wachter, Lena-Christin Conradi, Alexander Wolff, Andreas H Scheel, Ulrike Korf, Stefan Wiemann, Hans-Ulrich Schildhaus, Hanibal Bohnenberger and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Kerstin MenckDepartment of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, 48149 Münster, Germany.ORCID 0000-0002-8188-0163
Darius WlochowitzDepartment of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.
Astrid WachterDepartment of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.
Lena-Christin ConradiDepartment of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, 37075 Göttingen, Germany.
Alexander WolffDepartment of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.ORCID 0000-0003-2262-9056
Andreas H ScheelDepartment of Pathology, Universal Hospital of Köln, 50937 Köln, Germany.ORCID 0000-0003-0244-1646
Ulrike KorfDivision of Molecular Genome Analysis, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Stefan WiemannDivision of Molecular Genome Analysis, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0003-4683-3174
Hans-Ulrich SchildhausInstitute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany.ORCID 0000-0002-9856-7050
Hanibal BohnenbergerInstitute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany.
Edgar WingenderDepartment of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.ORCID 0000-0002-7729-8453
Tobias PukropDepartment of Hematology/Medical Oncology, University Medical Center Göttingen, 37075 Göttingen, Germany.
Kia HomayounfarDepartment of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, 37075 Göttingen, Germany.
Tim BeißbarthDepartment of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.ORCID 0000-0001-6509-2143
Annalen BleckmannDepartment of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, 48149 Münster, Germany.
Universitätsmedizin Göttingen · DEGerman Cancer Research Center · DEUniversity Hospital Münster · DEUniversity Hospital Regensburg · DE

Funding

Federal Ministry of Education and Research 0316173Federal Ministry of Education and Research 031L0024A
6 · The paper itself

Abstract

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.

Indexed as

colorectal cancerEGFRhigh-throughput profilingintratumoral heterogeneityliver metastasisWNT

Identifiers

PMID35565214
PMCPMC9104154
OpenAlexW4224292766

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.