Evidence map›Paper›PMID 31636480›Full record

ArticleCancer informatics2019

Drug Tolerant Cells: An Emerging Target With Unique Transcriptomic Features.

Divya Niveditha, Harshita Sharma, Anirudha Sahu, Syamantak Majumder, Rajdeep Chowdhury, Shibasish Chowdhury

Abstract readComment
In one paragraph

Article in Cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Divya NivedithaDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Pilani, India.ORCID https://orcid.org/0000-0003-0548-0042
Harshita SharmaDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Pilani, India.
Anirudha SahuDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Pilani, India.
Syamantak MajumderDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Pilani, India.
Rajdeep ChowdhuryDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Pilani, India.
Shibasish ChowdhuryDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Pilani, India.ORCID https://orcid.org/0000-0001-9290-3802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term outcome of cancer therapy is often severely perturbed by the acquisition of drug resistance. Recent evidence point toward the survival of a subpopulation of tumor cells under acute drug stress that over time can re-populate the tumor. These transiently existing, weakly proliferative, drug-tolerant cells facilitate tumor cell survival until more stable resistance mechanisms are acquired. From a therapeutic perspective, understanding the molecular features of the tolerant cells is critical to attenuation of resistance. In this article, we discuss the transcriptomic features of drug-tolerant osteosarcoma cells that survive a high dose of cisplatin shock. We present the unique transcriptome of the minimally dividing tolerant cells in comparison with the proliferative persisters or resistant cells derived from the tolerant cells. Targeting the tolerant cells can represent an efficient therapeutic strategy impeding tumor recurrence.

Indexed as

drug resistancedrug-tolerant persisterepigenetic alterationOsteosarcomaRNA sequencing

Identifiers

PMID31636480
PMCPMC6787876

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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.