Evidence map›Paper›PMID 28938541›Full record

ArticleOncotarget2017

Differential expression of circulating biomarkers of tumor phenotype and outcomes in previously treated non-small cell lung cancer patients receiving erlotinib vs. cytotoxic chemotherapy.

Mary Jo Fidler, Casey Frankenberger, Richard Seto, Gabriela C Lobato, Cristina L Fhied, Selina Sayidine, Sanjib Basu, Mark Pool, Reem Karmali, Marta Batus and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

15 authors at 2 institutions in 1 country.

Mary Jo FidlerSection of Medical Oncology, Rush University Medical Center, Chicago, IL 60612, USA.
Casey FrankenbergerPathology, Rush University Medical Center, Chicago, IL 60612, USA.
Richard SetoSection of Medical Oncology, Rush University Medical Center, Chicago, IL 60612, USA.
Gabriela C LobatoBiochemistry, Rush University Medical Center, Chicago, IL 60612, USA.
Cristina L FhiedPathology, Rush University Medical Center, Chicago, IL 60612, USA.
Selina SayidinePathology, Rush University Medical Center, Chicago, IL 60612, USA.
Sanjib BasuPreventative Medicine, Rush University Medical Center, Chicago, IL 60612, USA.
Mark PoolPathology, Rush University Medical Center, Chicago, IL 60612, USA.
Reem KarmaliHematology, Oncology and Cell Therapy at Rush University Medical Center, Chicago, IL 60612, USA.
Marta BatusSection of Medical Oncology, Rush University Medical Center, Chicago, IL 60612, USA.
Wen-Rong LieEMD Millipore Corporation, St. Charles, MO 63304, USA.
David HayesEMD Millipore Corporation, St. Charles, MO 63304, USA.
Jehangir MistryEMD Millipore Corporation, St. Charles, MO 63304, USA.
Philip BonomiSection of Medical Oncology, Rush University Medical Center, Chicago, IL 60612, USA.
Jeffrey A BorgiaPathology, Rush University Medical Center, Chicago, IL 60612, USA.
Rush University Medical Center · USNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to identify serum biomarkers capable of predicting clinical outcomes in previously-treated NSCLC patients with wild-type for EGFR activating mutations or insufficient tissue for mutation status determination.

methodsSixty-six Luminex immunoassays representative of biological themes that emerged from a re-analysis of transcriptome data from the Cancer Genome Atlas (TCGA) were evaluate against pretreatment serum specimens from previously-treated advanced NSCLC patients received either cytotoxic chemotherapy (n=32) or erlotinib (n=79). Known EGFR mutation positive cases were excluded from analysis. Associations of biomarkers with outcome parameters and their differential interaction with treatment for survival outcomes were assessed using multivariate Cox PH analyses.

resultsOur EMT-based transcriptomic analysis revealed a range of biological processes associated with angiogenesis, apoptosis, cachexia, inflammation, and metabolism emerging as those most highly associated with patient outcome. These processes were evaluated via surrogate serum biomarkers. A treatment-biomarker interaction analysis revealed that higher pretreatment levels of c-Met signaling biomarkers (i.e. HGF levels), pro-inflammatory/ pro-cachexia (e.g. IL-8, sIL-2Rα, FGF-2) processes and a pro-angiogenic (e.g. TGF-α, IL-8, VEGF) milieu were associated with inferior survival (HR=0.35, 0.29, 0.58, 0.50, 0.61, 0.45, respectively; all p<0.05) for patients receiving chemotherapy, relative to erlotinib. In contrast, high levels of decoy receptor for IL-1, sIL-1RII, and a high tissue vimentin/E-cadherin ratio were associated with a poor OS (HR=3.78; p=0.00055) in the erlotinib cohort.

conclusionsContemporary precision medicine initiatives that pair patient tumor characteristics with the optimal therapy type may maximize the use of agents targeting EGFR in the treatment of NSCLC.

Indexed as

biomarkerepithelial-to-mesenchymal transition (EMT)erlotinibLuminexnon-small cell lung cancer (NSCLC)

Identifiers

PMID28938541
PMCPMC5601637
OpenAlexW2607591686

What OpenQuestion holds

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LicenceCC BY
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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.