Evidence map›Paper›PMID 33742165›Full record

ReviewNature reviews. Gastroenterology & hepatology2021

Harnessing metabolic dependencies in pancreatic cancers.

Joel Encarnación-Rosado, Alec C Kimmelman

Abstract readReview
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing 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

127 citing papers in PubMed.

  1. Pancreatic Cancer KRAS Breakthrough: Drug Graveyard No More.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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67 more citing papers are in PubMed but not listed here.

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.

Joel Encarnación-RosadoPerlmutter Cancer Center, New York University School of Medicine, New York, NY, USA.
Alec C KimmelmanPerlmutter Cancer Center, New York University School of Medicine, New York, NY, USA. alec.kimmelman@nyulangone.org.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ANIRBAN MAITRA · 1985 to 2026
$83.1M
The RAS and P13K Pathways in Pancreatic AdenocarcinomaP01CA117969 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DEPINHO, RONALD ANTHONY · 2006 to 2025
$41.7M
Identifying Metabolic Dependencies of Pancreatic CancersR35CA232124 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIMMELMAN, ALEC · 2018 to 2024
$6.5M
Howard Hughes Medical InstituteNCI NIH HHS P01 CA117969NCI NIH HHS P30 CA016087NCI NIH HHS R35 CA232124
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with a 5-year survival rate of <10%. The tumour microenvironment (TME) of PDAC is characterized by excessive fibrosis and deposition of extracellular matrix, termed desmoplasia. This unique TME leads to high interstitial pressure, vascular collapse and low nutrient and oxygen diffusion. Together, these factors contribute to the unique biology and therapeutic resistance of this deadly tumour. To thrive in this hostile environment, PDAC cells adapt by using non-canonical metabolic pathways and rely on metabolic scavenging pathways such as autophagy and macropinocytosis. Here, we review the metabolic pathways that PDAC use to support their growth in the setting of an austere TME. Understanding how PDAC tumours rewire their metabolism and use scavenging pathways under environmental stressors might enable the identification of novel therapeutic approaches.

Indexed as

Carcinoma, Pancreatic DuctalHumansMetabolic Networks and PathwaysPancreatic NeoplasmsTumor Microenvironment

Identifiers

PMID33742165
PMCPMC8249349

What OpenQuestion holds

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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.