Evidence map›Paper›PMID 32153576›Full record

ReviewFrontiers in immunology2020

Inflammation-Induced Tryptophan Breakdown is Related With Anemia, Fatigue, and Depression in Cancer.

Lukas Lanser, Patricia Kink, Eva Maria Egger, Wolfgang Willenbacher, Dietmar Fuchs, Guenter Weiss, Katharina Kurz

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 2% 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

96 citing papers in PubMed, 3 syntheses or guidelines pooled it, 167 citations in OpenAlex.

  1. Diagnostic predictive models for cancer-related fatigue: current evidence and future directions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Development and validation of a machine learning model to predict moderate-to-severe cancer-related fatigue in breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  18. Article
  19. Article
  20. Review

36 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

7 authors at 2 institutions in 1 country.

Lukas LanserDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Patricia KinkDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Eva Maria EggerDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Wolfgang WillenbacherDepartment of Internal Medicine V, Medical University of Innsbruck, Innsbruck, Austria.
Dietmar FuchsDivision of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria.
Guenter WeissDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Katharina KurzDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Universität Innsbruck · ATInnsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many patients with cancer suffer from anemia, depression, and an impaired quality of life (QoL). These patients often also show decreased plasma tryptophan levels and increased kynurenine concentrations in parallel with elevated concentrations of Th1 type immune activation marker neopterin. In the course of anti-tumor immune response, the pro-inflammatory cytokine interferon gamma (IFN-γ) induces both, the enzyme indoleamine 2,3-dioxygenase (IDO) to degrade tryptophan and the enzyme GTP-cyclohydrolase I to form neopterin. High neopterin concentrations as well as an increased kynurenine to tryptophan ratio (Kyn/Trp) in the blood of cancer patients are predictive for a worse outcome. Inflammation-mediated tryptophan catabolism along the kynurenine pathway is related to fatigue and anemia as well as to depression and a decreased QoL in patients with solid tumors. In fact, enhanced tryptophan breakdown might greatly contribute to the development of anemia, fatigue, and depression in cancer patients. IDO activation and stimulation of the kynurenine pathway exert immune regulatory mechanisms, which may impair anti-tumor immune responses. In addition, tumor cells can degrade tryptophan to weaken immune responses directed against them. High IDO expression in the tumor tissue is associated with a poor prognosis of patients. The efficiency of IDO-inhibitors to inhibit cancer progression is currently tested in combination with established chemotherapies and with immune checkpoint inhibitors. Inflammation-mediated tryptophan catabolism and its possible influence on the development and persistence of anemia, fatigue, and depression in cancer patients are discussed.

Indexed as

AnemiaAnimalsDepressionFatigueHumansIndoleamine-Pyrrole 2,3,-DioxygenaseInflammationKynurenineNeoplasmsTryptophanIndoleamine-Pyrrole 2,3,-DioxygenaseKynurenineTryptophananemiacancerdepressionfatigueinflammationkynureninetryptophan

Identifiers

PMID32153576
PMCPMC7047328
OpenAlexW3006976689

What OpenQuestion 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 OpenQuestion graph.