Evidence map›Paper›PMID 31980465›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

Predicting Therapeutic Antibody Delivery into Human Head and Neck Cancers.

Guolan Lu, Shayan Fakurnejad, Brock A Martin, Nynke S van den Berg, Stan van Keulen, Naoki Nishio, Ashley J Zhu, Stefania U Chirita, Quan Zhou, Rebecca W Gao and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 52 citations in OpenAlex.

  1. Trial
  2. Quantitative Spatial Profiling of Antibody Delivery and Target Engagement Using Optically Labeled Antibodies.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
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  18. Factors for Differential Outcome Across Cancers in Clinical Molecule-Targeted Fluorescence Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
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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.

Guolan LuDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California.
Shayan FakurnejadStanford University School of Medicine, Stanford, California.
Brock A MartinDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Nynke S van den BergDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-3315-2647
Stan van KeulenDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-1174-7041
Naoki NishioDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-1495-0376
Ashley J ZhuDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California.
Stefania U ChiritaDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California.
Quan ZhouDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California.
Rebecca W GaoStanford University School of Medicine, Stanford, California.
Christina S KongDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Nancy FischbeinDepartment of Radiology, Stanford University School of Medicine, Stanford, California.
Mrudula PentaDepartment of Radiology, Stanford University School of Medicine, Stanford, California.
Alexander D ColevasDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, California.
Eben L RosenthalDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California. elr@stanford.edu.
Stanford Medicine · USStanford University · US

Funding

Stanford Molecular Imaging Scholars (SMIS) ProgramT32CA118681 · NCI · STANFORD UNIVERSITY · PI CRAIG S LEVIN · 2016 to 2026
$4.3M
Prototype optical device for image guided surgery with panitumumab-IRDye800R01CA190306 · NCI · STANFORD UNIVERSITY · PI ROSENTHAL, EBEN L. · 2015 to 2019
$2.6M
Next Generation Sentinel Node MappingR01CA238686 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROSENTHAL, EBEN L. · 2020 to 2021
$651k
NCI NIH HHS R01 CA190306NCI NIH HHS R01 CA238686NCI NIH HHS T32 CA118681
6 · The paper itself

Abstract

purposeThe efficacy of antibody-based therapeutics depends on successful drug delivery into solid tumors; therefore, there is a clinical need to measure intratumoral antibody distribution. This study aims to develop and validate an imaging and computation platform to directly quantify and predict antibody delivery into human head and neck cancers in a clinical study. EXPERIMENTAL

designTwenty-four patients received systemic infusion of a near-infrared fluorescence-labeled therapeutic antibody followed by surgical tumor resection. A computational platform was developed to quantify the extent of heterogeneity of intratumoral antibody distribution. Both univariate and multivariate regression analyses were used to select the most predictive tumor biological factors for antibody delivery. Quantitative image features from the pretreatment MRI were extracted and correlated with fluorescence imaging of antibody delivery.

resultsThis study not only confirmed heterogeneous intratumoral antibody distribution in-line with many preclinical reports, but also quantified the extent of interpatient, intertumor, and intratumor heterogeneity of antibody delivery. This study demonstrated the strong predictive value of tumor size for intratumoral antibody accumulation and its significant impact on antibody distribution in both primary tumor and lymph node metastasis. Furthermore, this study established the feasibility of using contrast-enhanced MRI to predict antibody delivery.

conclusionsThis study provides a clinically translatable platform to measure antibody delivery into solid tumors and yields valuable insight into clinically relevant antibody tumor penetration, with implications in the selection of patients amenable to antibody therapy and the design of more effective dosing strategies.

Indexed as

Drug Delivery SystemsAntineoplastic Agents, ImmunologicalBenzenesulfonatesComputational BiologyHead and Neck NeoplasmsHumansIndolesMagnetic Resonance ImagingPanitumumabPrognosisAntineoplastic Agents, ImmunologicalBenzenesulfonatesIndolesIRDye 800CWPanitumumab

Identifiers

PMID31980465
PMCPMC9398035
OpenAlexW3002874998

What OpenQuestion holds

Textmetadata
LicenceTDM
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.