Evidence map›Paper›PMID 37842241›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2023

Tumor-intrinsic metabolic reprogramming and how it drives resistance to anti-PD-1/PD-L1 treatment.

Kyra Laubach, Tolga Turan, Rebecca Mathew, Julie Wilsbacher, John Engelhardt, Josue Samayoa

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  15. Fuel for thought: targeting metabolism in lung cancer.Translational lung cancer research · 2024
    Review
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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

6 authors at 2 institutions in 1 country.

Kyra LaubachComputational Oncology, AbbVie, South San Francisco, CA 94080, USA.
Tolga TuranComputational Oncology, AbbVie, South San Francisco, CA 94080, USA.
Rebecca MathewImmuno-Oncology, AbbVie, South San Francisco, CA 94080, USA.
Julie WilsbacherImmuno-Oncology, AbbVie, Lake County, IL 60064, USA.
John EngelhardtImmuno-Oncology, AbbVie, South San Francisco, CA 94080, USA.
Josue SamayoaComputational Oncology, AbbVie, South San Francisco, CA 94080, USA.
AbbVie (United States) · USLake County · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of immune checkpoint blockade (ICB) therapies has been instrumental in advancing the field of immunotherapy. Despite the prominence of these treatments, many patients exhibit primary or acquired resistance, rendering them ineffective. For example, anti-programmed cell death protein 1 (anti-PD-1)/anti-programmed cell death ligand 1 (anti-PD-L1) treatments are widely utilized across a range of cancer indications, but the response rate is only 10%-30%. As such, it is necessary for researchers to identify targets and develop drugs that can be used in combination with existing ICB therapies to overcome resistance. The intersection of cancer, metabolism, and the immune system has gained considerable traction in recent years as a way to comprehensively study the mechanisms that drive oncogenesis, immune evasion, and immunotherapy resistance. As a result, new research is continuously emerging in support of targeting metabolic pathways as an adjuvant to ICB to boost patient response and overcome resistance. Due to the plethora of studies in recent years highlighting this notion, this review will integrate the relevant articles that demonstrate how tumor-derived alterations in energy, amino acid, and lipid metabolism dysregulate anti-tumor immune responses and drive resistance to anti-PD-1/PD-L1 therapy.

Indexed as

amino acid metabolismenergy metabolismimmune checkpoint blockadeImmunotherapy resistancelipid metabolismtumor-immune microenvironment

Identifiers

PMID37842241
PMCPMC10571065
OpenAlexW4386418861

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.