Evidence map›Paper›PMID 30345221›Full record

ArticleCurrent pharmacology reports2018

Emerging roles for clinical pharmacometrics in cancer precision medicine.

Sujit Nair, Ah-Ng Tony Kong

Abstract read
In one paragraph

Article in Current pharmacology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. An open-label, single dose, safety and pharmacokinetic study ofDrug metabolism and personalized therapy · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Pharmacometrics meets statistics-A synergy for modern drug development.CPT: pharmacometrics & systems pharmacology · 2021
    Article
  7. Article
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

2 authors.

Sujit NairAmrita Cancer Discovery Biology Laboratory, Amrita Vishwa Vidyapeetham University, Amritapuri, Clappana P.O., Kollam - 690525, Kerala, India.
Ah-Ng Tony KongCenter for Cancer Chemoprevention Research and Department of Pharmaceutics, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ-08854, USA.

Funding

Curcuma Longa: epigenetic effects in prostate and colon cancerR01AT007065 · NCCIH · RUTGERS, THE STATE UNIV OF N.J. · PI KONG, AH-NG TONY · 2012 to 2016
$2.3M
Prevention of skin cancer by phytochemicals via Nrf2 and epigeneticsR01CA200129 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI KONG, AH-NG TONY · 2016 to 2020
$1.8M
NCCIH NIH HHS R01 AT007065NCI NIH HHS R01 CA200129
6 · The paper itself

Abstract

purpose of reviewAlthough significant progress has been made in cancer research, there exist unmet needs in patient care as reflected by the 'Cancer Moonshot' goals. This review appreciates the potential utility of quantitative pharmacology in cancer precision medicine. RECENT

findingsPrecision oncology has received federal funding largely due to 'The Precision Medicine Initiative'. Precision medicine takes into account the inter-individual variability, and allows for tailoring the right medication or the right dose of drug to the best subpopulation of patients who will likely respond to the intervention, thus enhancing therapeutic success and reducing "financial toxicity" to patients, families and caregivers. The National Cancer Institute (NCI) committed US$ 70 million from its fiscal year 2016 budget to advance precision oncology research. Through the 'Critical Path Initiative', pharmacometrics has gained an important role in drug development; however, it is yet to find widespread clinical applicability. SUMMARY: Stakeholders including clinicians and pharmacometricians need to work in concert to ensure that benefits of model-based approaches are harnessed to personalize cancer care to the individual needs of the patient

Indexed as

cancerelectronic health recordpersonalized medicinepharmacometricsPrecision medicineprecision oncologyquantitative modelsquantitative pharmacology

Identifiers

PMID30345221
PMCPMC6191048

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.