Evidence map›Paper›PMID 34737704›Full record

ReviewFrontiers in pharmacology2021

Integrating Molecular Biomarker Inputs Into Development and Use of Clinical Cancer Therapeutics.

Anna D Louie, Kelsey Huntington, Lindsey Carlsen, Lanlan Zhou, Wafik S El-Deiry

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Targeting collagen to optimize cancer immunotherapy.Experimental hematology & oncology · 2025
    Review
  10. Article
  11. Review
  12. Review
  13. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Targeting ATR in Cancer Medicine.Cancer treatment and research · 2023
    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

5 authors.

Anna D LouieLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI, United States.
Kelsey HuntingtonLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI, United States.
Lindsey CarlsenLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI, United States.
Lanlan ZhouLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI, United States.
Wafik S El-DeiryLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI, United States.

Funding

TIC10 anti-tumor effect through regulation of Foxo3a and TRAILR01CA173453 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI EL-DEIRY, WAFIK S. · 2013 to 2023
$4.3M
NCI NIH HHS R01 CA173453
6 · The paper itself

Abstract

Biomarkers can contribute to clinical cancer therapeutics at multiple points along the patient's diagnostic and treatment course. Diagnostic biomarkers can screen or classify patients, while prognostic biomarkers predict their survival. Biomarkers can also predict treatment efficacy or toxicity and are increasingly important in development of novel cancer therapeutics. Strategies for biomarker identification have involved large-scale genomic and proteomic analyses. Pathway-specific biomarkers are already in use to assess the potential efficacy of immunotherapy and targeted cancer therapies. Judicious application of machine learning techniques can identify disease-relevant features from large data sets and improve predictive models. The future of biomarkers likely involves increasing utilization of liquid biopsy and multiple samplings to better understand tumor heterogeneity and identify drug resistance.

Indexed as

biomarkerscancer therapeuticsgenomicsliquid biopsymachine learning

Identifiers

PMID34737704
PMCPMC8560682

What OpenQuestion holds

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LicenceCC BY
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.