Evidence map›Paper›PMID 28008146›Full record

ArticleOncotarget2017

Autologous reconstitution of human cancer and immune system in vivo.

Juan Fu, Rupashree Sen, David L Masica, Rachel Karchin, Drew Pardoll, Vonn Walter, D Neil Hayes, Christine H Chung, Young J Kim

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Animal models of bone metastatic prostate cancer.Investigative and clinical urology · 2023
    Review
  4. Review
  5. Humanized mouse models for immuno-oncology research.Nature reviews. Clinical oncology · 2023
    Review
  6. Article
  7. Review
  8. Autologously Humanized Mice for Immune-Oncologic Studies.Current protocols in pharmacology · 2020
    Article
  9. Review
  10. Article
  11. Review
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

9 authors at 5 institutions in 1 country.

Juan FuDepartment of Otolaryngology - Head & Neck Surgery, SKCCC, Johns Hopkins Hospital, Baltimore, MD, USA.
Rupashree SenDepartment of Otolaryngology - Head & Neck Surgery, SKCCC, Johns Hopkins Hospital, Baltimore, MD, USA.
David L MasicaDepartment of Biomedical Engineering and The Institute for Computational Medicine, SKCCC, Johns Hopkins Hospital, Baltimore, MD, USA.
Rachel KarchinDepartment of Biomedical Engineering and The Institute for Computational Medicine, SKCCC, Johns Hopkins Hospital, Baltimore, MD, USA.
Drew PardollBloomberg-Kimmel Institute for Cancer Immunotherapy, SKCCC, Johns Hopkins Hospital, Baltimore, MD, USA.
Vonn WalterDepartment of Biochemistry and Molecular Biology, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
D Neil HayesUNC Chapel Hill School of Medicine, Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA.
Christine H ChungDepartment of Head & Neck - Endocrine Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Young J KimBloomberg-Kimmel Institute for Cancer Immunotherapy, SKCCC, Johns Hopkins Hospital, Baltimore, MD, USA.
Johns Hopkins Hospital · USSidney Kimmel Comprehensive Cancer Center · USMoffitt Cancer Center · USPenn State Milton S. Hershey Medical Center · USUniversity of North Carolina at Chapel Hill · US

Funding

The role of Listeria cyclic-di-AMP during infection and immunityP01AI063302 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI STANLEY, SARAH A · 2004 to 2025
$45.5M
Cyclic Dinucleotides in Combinatorial Immunotherapy for CancerR01CA178613 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KIM, YOUNG J. · 2013 to 2017
$1.7M
NCI NIH HHS R01 CA178613NIAID NIH HHS P01 AI063302
6 · The paper itself

Abstract

Correlative studies from checkpoint inhibitor trials have indicated that better understanding of human leukocytic trafficking into the human tumor microenvironment can expedite the translation of future immune-oncologic agents. In order to directly characterize signaling pathways that can regulate human leukocytic trafficking into the tumor, we have developed a completely autologous xenotransplantation method to reconstitute the human tumor immune microenvironment in vivo. We were able to genetically mark the engrafted CD34+ bone marrow cells as well as the tumor cells, and follow the endogenous leukocytic infiltration into the autologous tumor. To investigate human tumor intrinsic factors that can potentially regulate the immune cells in our system, we silenced STAT3 signaling in the tumor compartment. As expected, STAT3 signaling suppression in the tumor compartment in these autologously reconstituted humanized mice showed increased tumor infiltrating lymphocytes and reduction of arginase-1 in the stroma, which were associated with slower tumor growth rate. We also used this novel system to characterize human myeloid suppressor cells as well as to screen novel agents that can alter endogenous leukocytic infiltration into the tumor. Taken together, we present a valuable method to study individualized human tumor microenvironments in vivo without confounding allogeneic responses.

Indexed as

AnimalsCarcinoma, Squamous CellCell Line, TumorHead and Neck NeoplasmsHeterograftsHLA-A2 AntigenHumansLymphocytes, Tumor-InfiltratingMiceMice, Inbred NODMice, SCIDMice, TransgenicNeoplasmsNeoplasm TransplantationSquamous Cell Carcinoma of Head and NeckTransgenesHLA-A*02:01 antigenHLA-A2 Antigenautologous reconstitutionhead neck carcinomahumanized miceImmune responseImmunityImmunology and Microbiology SectionSTAT3tumor microenvironment

Identifiers

PMID28008146
PMCPMC5356779
OpenAlexW2566869301

What OpenQuestion holds

Textmetadata
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.