Evidence map›Paper›PMID 38785748›Full record

ReviewDiseases (Basel, Switzerland)2024

Unravelling the Triad of Lung Cancer, Drug Resistance, and Metabolic Pathways.

Pratik Mohanty, Babita Pande, Rakesh Acharya, L V K S Bhaskar, Henu Kumar Verma

Abstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Genomic alterations and their correlation with metabolic-related genes in lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Targeting Lung Cancer Metabolism: Therapeutic Opportunities and Challenges.Advances in experimental medicine and biology · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. 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

5 authors.

Pratik MohantyDepartment of Bioscience and Bioengineering, Indian Institute of Technology, Guwahati 781039, India.
Babita PandeDepartment of Physiology, All India Institute of Medical Science, Raipur 492099, India.ORCID 0000-0002-0545-6002
Rakesh AcharyaDepartment of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur 495009, India.ORCID 0009-0005-8795-1654
L V K S BhaskarDepartment of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur 495009, India.ORCID 0000-0003-2977-6454
Henu Kumar VermaLung Health and Immunity, Helmholtz Zentrum Munich, IngolstädterLandstraße 1, 85764 Oberschleißheim, 85764 Munich, Bayren, Germany.ORCID 0000-0003-1130-8783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer, characterized by its heterogeneity, presents a significant challenge in therapeutic management, primarily due to the development of resistance to conventional drugs. This resistance is often compounded by the tumor's ability to reprogram its metabolic pathways, a survival strategy that enables cancer cells to thrive in adverse conditions. This review article explores the complex link between drug resistance and metabolic reprogramming in lung cancer, offering a detailed analysis of the molecular mechanisms and treatment strategies. It emphasizes the interplay between drug resistance and changes in metabolic pathways, crucial for developing effective lung cancer therapies. This review examines the impact of current treatments on metabolic pathways and the significance of considering metabolic factors to combat drug resistance. It highlights the different challenges and metabolic alterations in non-small-cell lung cancer and small-cell lung cancer, underlining the need for subtype-specific treatments. Key signaling pathways, including PI3K/AKT/mTOR, MAPK, and AMPK, have been discussed for their roles in promoting drug resistance and metabolic changes, alongside the complex regulatory networks involved. This review article evaluates emerging treatments targeting metabolism, such as metabolic inhibitors, dietary management, and combination therapies, assessing their potential and challenges. It concludes with insights into the role of precision medicine and metabolic biomarkers in crafting personalized lung cancer treatments, advocating for metabolic targeting as a promising approach to enhance treatment efficacy and overcome drug resistance. This review underscores ongoing advancements and hurdles in integrating metabolic considerations into lung cancer therapy strategies.

Indexed as

disease managementdrug resistancelung cancermetabolismsignaling pathway

Identifiers

PMID38785748
PMCPMC11119248

What OpenQuestion holds

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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.