Evidence map›Paper›PMID 16455021›Full record

ReviewCurrent treatment options in oncology2006

Ex vivo programmed cell death and the prediction of response to chemotherapy.

Robert A Nagourney

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. A framework for fibrolamellar carcinoma research and clinical trials.Nature reviews. Gastroenterology & hepatology · 2022
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Sensor-based cell and tissue screening for personalized cancer chemotherapy.Medical & biological engineering & computing · 2012
    Article
  13. An RNAi-based chemical genetic screen identifies three small-molecule inhibitors of the Wnt/wingless signaling pathway.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  14. Article
  15. Article
  16. Article
  17. 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

1 author at 1 institution in 1 country.

Robert A NagourneyRational Therapeutics, 750 East 29th Street, Long Beach, CA 90806, USA. robert.nagourney@rationaltherapeutics.com
Rational Biotechnology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the earliest introduction of cytotoxic chemotherapy, investigators have pursued laboratory techniques designed to match patients to available drugs. Most of the work, published through the 1980s, reflected the prevailing view of cancer as a disease of dysregulated cell proliferation. Noteworthy, the description of apoptosis and programmed cell death, fundamental to our modern understanding of human tumor biology, did not occur until well after the heyday of in vitro chemosensitivity testing. By incorporating the modern tenets of carcinogenesis associated with perturbations in cell survival we can now re-examine laboratory assays of drug response in the context of drug-induced programmed cell death. Although there is interest in the use of genomic analyses for the prediction of chemotherapy response, the painful recognition that genotype does not equal phenotype will continue to limit broad application of these platforms. Biosystematics instructs that biological pathways rarely follow predicted routes. Efforts to force human biology to behave according to preconceived scientific dictates have proven costly and unsuccessful. Whole-cell experimental models with the capacity to evaluate all the operative mechanisms of cellular response to injury, acting in concert, provide valid tools for the study of human cancer. Educated by cellular behavior, we can expeditiously examine molecular processes of interest. This article briefly reviews the history of whole-cell experimental models of in vitro chemosensitivity testing then focuses on cell-death measures as the most robust predictors of clinical outcome in human cancer.

Indexed as

Drug Screening Assays, AntitumorAdenosine TriphosphateAntineoplastic AgentsApoptosisAutophagyCell MembraneCell ProliferationHumansNeoplasmsProtein BiosynthesisTumor Cells, CulturedAdenosine TriphosphateAntineoplastic Agents

Identifiers

PMID16455021
OpenAlexW1983730183

What OpenQuestion holds

Textmetadata
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.