Evidence map›Paper›PMID 36661847›Full record

ArticleCancer research2023

Epigenetic-Metabolic Interplay in the DNA Damage Response and Therapeutic Resistance of Breast Cancer.

Chandrima Das, Swagata Adhikari, Apoorva Bhattacharya, Sanjukta Chakraborty, Payel Mondal, Shalini S Yadav, Santanu Adhikary, Clayton R Hunt, Kamlesh K Yadav, Shruti Pandita and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 25 citations in OpenAlex.

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  15. Mechanism of Histone Arginine Methylation Dynamic Change in Cellular Stress.International journal of molecular sciences · 2024
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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

14 authors at 6 institutions in 2 countries.

Chandrima Das *Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, India.ORCID 0000-0002-8117-2810
Swagata Adhikari *Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, India.ORCID 0000-0001-7796-4359
Apoorva Bhattacharya *Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, India.ORCID 0000-0001-5016-8918
Sanjukta ChakrabortyMedical Physiology, College of Medicine, Texas A&M Health, Bryan, Texas.ORCID 0000-0002-4869-3198
Payel MondalBiophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, India.ORCID 0000-0003-2271-0583
Shalini S YadavThe University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-8266-5548
Santanu AdhikaryBiophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, India.ORCID 0000-0002-9378-3723
Clayton R HuntHouston Methodist Research Institute, Houston, Texas.ORCID 0000-0002-3922-1957
Kamlesh K YadavCenter for Genomics and Precision Medicine, Texas A&M College of Medicine, Houston, Texas.ORCID 0000-0003-3266-7988
Shruti PanditaUniversity of Texas Health San Antonio MD Anderson Cancer Center, San Antonio, Texas.ORCID 0000-0001-6555-2760
Siddhartha RoyStructural Biology and Bioinformatics Division, Council of Scientific and Industrial Research (CSIR)-Indian Institute of Chemical Biology, Kolkata, India.ORCID 0000-0001-8609-9803
John A TainerThe University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-1659-2429
Zamal AhmedThe University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-3400-6577
Tej K PanditaHouston Methodist Research Institute, Houston, Texas.ORCID 0000-0002-2365-5937
Saha Institute of Nuclear Physics · INThe University of Texas MD Anderson Cancer Center · USHouston Methodist · USID Genomics (United States) · USIndian Institute of Chemical Biology · INTexas A&M Health Science Center · US

Funding

Transcription-Coupled & Replication-Associated Excision RepairP01CA092584 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI John A. Tainer · 2001 to 2026
$89.6M
Mesoscale and Nanoscale Technologies Integrated by Structures for DNA Repair Complexes (MANTIS-DRC)R35CA220430 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI John A. Tainer · 2018 to 2026
$7.6M
NCI NIH HHS P01 CA092584NCI NIH HHS R35 CA220430NIH HHS RO1 CA129537
6 · The paper itself

Abstract

Therapy resistance is imposing a daunting challenge on effective clinical management of breast cancer. Although the development of resistance to drugs is multifaceted, reprogramming of energy metabolism pathways is emerging as a central but heterogenous regulator of this therapeutic challenge. Metabolic heterogeneity in cancer cells is intricately associated with alterations of different signaling networks and activation of DNA damage response pathways. Here we consider how the dynamic metabolic milieu of cancer cells regulates their DNA damage repair ability to ultimately contribute to development of therapy resistance. Diverse epigenetic regulators are crucial in remodeling the metabolic landscape of cancer. This epigenetic-metabolic interplay profoundly affects genomic stability of the cancer cells as well as their resistance to genotoxic therapies. These observations identify defining mechanisms of cancer epigenetics-metabolism-DNA repair axis that can be critical for devising novel, targeted therapeutic approaches that could sensitize cancer cells to conventional treatment strategies.

Indexed as

Breast NeoplasmsDNA DamageDNA RepairDrug Resistance, NeoplasmEpigenesis, GeneticFemaleHumans

Identifiers

PMID36661847
PMCPMC11285093
OpenAlexW4317567473

What OpenQuestion holds

Textmetadata
LicenceTDM
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.