Evidence map›Paper›PMID 38799569›Full record

ArticleiScience2024

Redox modulator iron complexes trigger intrinsic apoptosis pathway in cancer cells.

Sai Kumari Vechalapu, Rakesh Kumar, Niranjan Chatterjee, Sikha Gupta, Shweta Khanna, Pooja Yedehalli Thimmappa, Sathyapriya Senthil, Raju Eerlapally, Manjunath B Joshi, Santosh K Misra and 2 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Sai Kumari VechalapuDepartment of Chemistry, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Rakesh KumarDepartment of Chemistry, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Niranjan ChatterjeeDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Sikha GuptaDepartment of Chemistry, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Shweta KhannaDepartment of Chemistry, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Pooja Yedehalli ThimmappaDepartment of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal 576104, India.
Sathyapriya SenthilDepartment of Chemistry, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Raju EerlapallyDepartment of Chemistry, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Manjunath B JoshiDepartment of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal 576104, India.
Santosh K MisraDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Apparao DraksharapuDepartment of Chemistry, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.
Dharmaraja AllimuthuDepartment of Chemistry, Indian Institute of Technology Kanpur, Uttar Pradesh 208016, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of multidrug resistance in cancer cells necessitates the development of new therapeutic modalities. One way cancer cells orchestrate energy metabolism and redox homeostasis is through overloaded iron pools directed by iron regulatory proteins, including transferrin. Here, we demonstrate that targeting redox homeostasis using nitrogen-based heterocyclic iron chelators and their iron complexes efficiently prevents the proliferation of liver cancer cells (EC

Indexed as

cancerchemistry

Identifiers

PMID38799569
PMCPMC11126827

What OpenQuestion holds

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Registered trials

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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.