Evidence map›Paper›PMID 22322254›Full record

ReviewNature reviews. Drug discovery2012

Cancer biomarkers: selecting the right drug for the right patient.

Gary J Kelloff, Caroline C Sigman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing 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

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

  1. Pooled it
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  3. Repeatability of 18F-FDG PET/CT in Advanced Non-Small Cell Lung Cancer: Prospective Assessment in 2 Multicenter Trials.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2015
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39 more citing papers are in PubMed but not listed here.

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.

Gary J KelloffNational Cancer Institute, Cancer Imaging Program, EPN Rm 6058, 6130 Executive Blvd, Bethesda, Maryland 20852, USA. kelloffg@mail.nih.gov
Caroline C Sigman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Perspective highlights biomarkers that are expressed as a consequence of cancer development and progression. We focus on those biomarkers that are most relevant for identifying patients who are likely to respond to a given therapy, as well as those biomarkers that are most effective for measuring patient response to therapy. These two measures are necessary for selecting the right drug for the right patient, regardless of whether the setting is in drug development or in the post-approval use of the drug for patients with cancer. We also discuss the innovative designs of clinical trials and methodologies that are used to validate and qualify biomarkers for use in specific contexts. Furthermore, we look ahead to the promises and challenges in the field of cancer biomarkers.

Indexed as

Biomarkers, TumorDisease ProgressionAnimalsAntineoplastic AgentsDrug DiscoveryHumansNeoplasmsPrecision MedicineAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID22322254

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.