Evidence map›Paper›PMID 29946779›Full record

ReviewAdvances in experimental medicine and biology

The Metabolism of Renal Cell Carcinomas and Liver Cancer.

Tu Nguyen, Anne Le

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Drugging cancer metabolism: Expectations vs. reality.International review of cell and molecular biology · 2019
    Review
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

2 authors.

Tu NguyenDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Anne LeDepartment of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. annele@jhmi.edu.

Funding

Glutaminase Inhibitor Drug Discovery and Nanoparticle-Based Delivery for Pancreatic Cancer TherapyR01CA193895 · NCI · JOHNS HOPKINS UNIVERSITY · PI HANES, JUSTIN S., LE, ANNE · 2016 to 2020
$2.1M
Profiling Pancreatic Cancer Metabolism and Tumor Microenvironment for TherapyR21CA169757 · NCI · JOHNS HOPKINS UNIVERSITY · PI LE, ANNE · 2013 to 2014
$382k
NCI NIH HHS R01 CA193895NCI NIH HHS R21 CA169757
6 · The paper itself

Abstract

key pointsAccording to data from the American Cancer Society, cancer is one of the deadliest health problems globally. Annually, renal cell carcinoma (RCC) and liver cancer cause more than 100,000 and 800,000 deaths worldwide, respectively [1–4], creating an urgent need to develop effective therapeutic treatments to increase patient survival outcomes. New therapeutic treatments are expected to address a major factor contributing to cancer’s resistance to standard therapies: oncogenic heterogeneity. Because gene expression can vary tremendously among different types of cancers, different patients of the same tumor type, and even within individual tumors, various metabolic phenotypes can emerge, making single-therapy approaches insufficient. This heterogeneity translates into changes in the landscape of metabolic enzymes and biomolecules within both the cancer cell and tumor microenvironment. Novel strategies targeting the diverse metabolism of cancers aim to overcome this obstacle, and though some have yielded positive results, it remains a challenge to uncover all of the distinct metabolic profiles of RCC and liver cancer. Nonetheless, the metabolic-oriented research focusing on these cancers has offered different, fresh new perspectives, which are expected to contribute heavily to the development of new therapeutic treatments.

Indexed as

AnimalsCarcinoma, Renal CellHumansKidney NeoplasmsLiver NeoplasmsGlucose metabolismGlutamine metabolismMetabolic phenotypesOncogenic heterogeneityPrimary liver cancerRenal cell carcinoma

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.