Evidence map›Paper›PMID 37716465›Full record

ArticleCancer letters2023

Multi-omic analysis reveals metabolic pathways that characterize right-sided colon cancer liver metastasis.

Montana T Morris, Abhishek Jain, Boshi Sun, Vadim Kurbatov, Engjel Muca, Zhaoshi Zeng, Ying Jin, Jatin Roper, Jun Lu, Philip B Paty and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cancer letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 16 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

12 authors at 4 institutions in 1 country.

Montana T MorrisDepartment of Surgery/Surgical Oncology, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Abhishek JainDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA.
Boshi SunDepartment of Surgery/Surgical Oncology, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Vadim KurbatovDepartment of Surgery/Surgical Oncology, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Engjel MucaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
Zhaoshi ZengDepartment of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
Ying JinDepartment of Surgery/Surgical Oncology, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Jatin RoperDepartment of Medicine/Gastroenterology, Duke University School of Medicine, 124 Davison Building, Durham, NC, 27710, USA.
Jun LuDepartment of Genetics, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06378, USA.
Philip B PatyDepartment of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
Caroline H JohnsonDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA. Electronic address: caroline.johnson@yale.edu.
Sajid A KhanDepartment of Surgery/Surgical Oncology, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA. Electronic address: Sajid.khan@yale.edu.
Yale University · USMemorial Sloan Kettering Cancer Center · USDuke University · USYale Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
Understanding sex differences in colon cancer metabolismR21CA223686 · NCI · YALE UNIVERSITY · PI JOHNSON, CAROLINE HELEN, KHAN, SAJID A · 2018 to 2019
$394k
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA008748NCI NIH HHS R21 CA223686
6 · The paper itself

Abstract

There are well demonstrated differences in tumor cell metabolism between right sided (RCC) and left sided (LCC) colon cancer, which could underlie the robust differences observed in their clinical behavior, particularly in metastatic disease. As such, we utilized liquid chromatography-mass spectrometry to perform an untargeted metabolomics analysis comparing frozen liver metastasis (LM) biobank samples derived from patients with RCC (N = 32) and LCC (N = 58) to further elucidate the unique biology of each. We also performed an untargeted RNA-seq and subsequent network analysis on samples derived from an overlapping subset of patients (RCC: N = 10; LCC: N = 18). Our biobank redemonstrates the inferior survival of patients with RCC-derived LM (P = 0.04), a well-established finding. Our metabolomic results demonstrate increased reactive oxygen species associated metabolites and bile acids in RCC. Conversely, carnitines, indicators of fatty acid oxidation, are relatively increased in LCC. The transcriptomic analysis implicates increased MEK-ERK, PI3K-AKT and Transcription Growth Factor Beta signaling in RCC LM. Our multi-omic analysis reveals several key differences in cellular physiology which taken together may be relevant to clinical differences in tumor behavior between RCC and LCC liver metastasis.

Indexed as

Carcinoma, Renal CellColonic NeoplasmsKidney NeoplasmsLiver NeoplasmsHumansMetabolic Networks and PathwaysMultiomicsPhosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesBile acidsEGFRLateralityMetabolomicsROSTGF-β

Identifiers

PMID37716465
PMCPMC10620771
OpenAlexW4386786556

What Socratic holds

Textmetadata
LicenceTDM
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.