Evidence map›Paper›PMID 30718843›Full record

ReviewNature reviews. Clinical oncology2019

Comparing and contrasting predictive biomarkers for immunotherapy and targeted therapy of NSCLC.

D Ross Camidge, Robert C Doebele, Keith M Kerr

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 315 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
315citing papers in PubMed, 4 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

315 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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255 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

3 authors.

D Ross CamidgeDivision of Medical Oncology, Department of Medicine, University of Colorado Cancer Center, Aurora, CO, USA. ross.camidge@ucdenver.edu.
Robert C DoebeleDivision of Medical Oncology, Department of Medicine, University of Colorado Cancer Center, Aurora, CO, USA.
Keith M KerrDepartment of Pathology, Aberdeen University Medical School, Aberdeen Royal Infirmary, Aberdeen, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The era of personalized medicine for advanced-stage non-small-cell lung cancer (NSCLC) began when biomarker-based evidence of molecular pathway and/or oncogene addiction of the tumour became mandatory for the allocation of specific targeted therapies. More recently, the immunotherapy revolution, specifically, the development of immune-checkpoint inhibitors (ICIs), has dramatically altered the NSCLC treatment landscape. Herein, we compare and contrast the clinical development of immunotherapy and oncogene-directed therapy for NSCLC, focusing on the role of predictive biomarkers. Immunotherapy biomarkers are fundamentally different from oncogene biomarkers in that they are continuous rather than categorical (binary), spatially and temporally variable and reliant on multiple complex interactions rather than a single, dominant determinant. The performance of predictive biomarkers for ICIs might be improved by combining different markers to reduce the assumptive risks associated with each one. Novel combinations with chemotherapy and ICIs complicate biomarker discovery but do not decrease the value of the markers identified. Perfectly predictive biomarkers of benefit from immunotherapy are unlikely to be identified, although exclusionary biomarkers of minimal benefit or an unacceptable risk of toxicity might be feasible. The clinical adoption and applicability of such biomarkers might vary depending on line of treatment, the available therapeutic alternatives and health economic considerations.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarcinoma, Non-Small-Cell LungClinical Trials as TopicHumansImmunotherapyLung NeoplasmsOncogene ProteinsPrecision MedicineBiomarkers, TumorOncogene Proteins

Identifiers

What OpenQuestion holds

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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.