Evidence map›Paper›PMID 25619980›Full record

ArticleCancer medicine2015

Xenograft assessment of predictive biomarkers for standard head and neck cancer therapies.

Andrew P Stein, Adam D Swick, Molly A Smith, Grace C Blitzer, Robert Z Yang, Sandeep Saha, Paul M Harari, Paul F Lambert, Cheng Z Liu, Randall J Kimple

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  3. How can we establish animal models of HIV-associated lymphoma?Animal models and experimental medicine · 2024
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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

10 authors at 2 institutions in 1 country.

Andrew P SteinDepartment of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Adam D SwickDepartment of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Molly A SmithDepartment of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Grace C BlitzerDepartment of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Robert Z YangDepartment of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Sandeep SahaDepartment of Biostatistics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Paul M HarariDepartment of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Paul F LambertDepartment of Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Cheng Z LiuDepartment of Pathology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
Randall J KimpleDepartment of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53706.
University of Wisconsin–Madison · USWisconsin Division of Public Health · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
Visualizing EBV and HCMV DNA Dynamics During InfectionP01CA022443 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI WILLIAM M. SUGDEN · 1985 to 2026
$53.1M
Molecular and Theraputic Studies on HPV-associated Anal CancerR01CA171873 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI LAMBERT, PAUL F. · 2013 to 2016
$1.2M
Head and Neck squamous cell carcinoma radiation response modulation by HPVR00CA160639 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI KIMPLE, RANDALL J. · 2013 to 2015
$725k
NCI NIH HHS CA022443NCI NIH HHS P30 CA014520NCI NIH HHS R00 CA160639
6 · The paper itself

Abstract

Head and neck squamous cell carcinoma (HNSCC) remains a challenging cancer to treat with overall 5-year survival on the order of 50-60%. Therefore, predictive biomarkers for this disease would be valuable to provide more effective and individualized therapeutic approaches for these patients. While prognostic biomarkers such as p16 expression correlate with outcome; to date, no predictive biomarkers have been clinically validated for HNSCC. We generated xenografts in immunocompromised mice from six established HNSCC cell lines and evaluated response to cisplatin, cetuximab, and radiation. Tissue microarrays were constructed from pre- and posttreatment tumor samples derived from each xenograft experiment. Quantitative immunohistochemistry was performed using a semiautomated imaging and analysis platform to determine the relative expression of five potential predictive biomarkers: epidermal growth factor receptor (EGFR), phospho-EGFR, phospho-Akt, phospho-ERK, and excision repair cross-complementation group 1 (ERCC1). Biomarker levels were compared between xenografts that were sensitive versus resistant to a specific therapy utilizing a two-sample t-test with equal standard deviations. Indeed the xenografts displayed heterogeneous responses to each treatment, and we linked a number of baseline biomarker levels to response. This included low ERCC1 being associated with cisplatin sensitivity, low phospho-Akt correlated with cetuximab sensitivity, and high total EGFR was related to radiation resistance. Overall, we developed a systematic approach to identifying predictive biomarkers and demonstrated several connections between biomarker levels and treatment response. Despite these promising initial results, this work requires additional preclinical validation, likely involving the use of patient-derived xenografts, prior to moving into the clinical realm for confirmation among patients with HNSCC.

Indexed as

AnimalsAntineoplastic AgentsBiomarkersCell Line, TumorCetuximabCisplatinDisease Models, AnimalDNA-Binding ProteinsEndonucleasesErbB ReceptorsExtracellular Signal-Regulated MAP KinasesFemaleHead and Neck NeoplasmsHumansImmunohistochemistryMiceAntineoplastic AgentsBiomarkersCetuximabCisplatinDNA-Binding ProteinsEndonucleasesErbB ReceptorsERCC1 protein, humanExtracellular Signal-Regulated MAP KinasesProto-Oncogene Proteins c-aktHead and neck cancerHNSCCHPVpredictive biomarkersxenografts

Identifiers

PMID25619980
PMCPMC4430263
OpenAlexW2067507202

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.