Evidence map›Paper›PMID 29384032›Full record

ArticleCell cycle (Georgetown, Tex.)2018

Individualized doxorubicin sensitivity testing of undifferentiated soft tissue sarcoma (USTS) in a patient-derived orthotopic xenograft (PDOX) model demonstrates large differences between patients.

Kei Kawaguchi, Kentaro Igarashi, Tasuku Kiyuna, Kentaro Miyake, Masuyo Miyake, Takashi Murakami, Bartosz Chmielowski, Scott D Nelson, Tara A Russell, Sarah M Dry and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

15 authors at 3 institutions in 2 countries.

Kei Kawaguchia AntiCancer, Inc. , San Diego , CA , USA.
Kentaro Igarashia AntiCancer, Inc. , San Diego , CA , USA.
Tasuku Kiyunaa AntiCancer, Inc. , San Diego , CA , USA.
Kentaro Miyakea AntiCancer, Inc. , San Diego , CA , USA.
Masuyo Miyakea AntiCancer, Inc. , San Diego , CA , USA.
Takashi Murakamia AntiCancer, Inc. , San Diego , CA , USA.
Bartosz Chmielowskid Division of Hematology-Oncology , University of California , Los Angeles , CA , USA.ORCID 0000-0002-2374-3320
Scott D Nelsone Dep artmen t of Pathology , University of California , Los Angeles , CA , USA.
Tara A Russellf Division of Surgical Oncology , University of California , Los Angeles , CA , USA.ORCID 0000-0002-3912-3601
Sarah M Drye Dep artmen t of Pathology , University of California , Los Angeles , CA , USA.
Yunfeng Lie Dep artmen t of Pathology , University of California , Los Angeles , CA , USA.
Arun S Singhd Division of Hematology-Oncology , University of California , Los Angeles , CA , USA.
Michiaki Unnoc Department of Surgery, Graduate School of Medicine , Tohoku University , Sendai , Japan.
Fritz C Eilberf Division of Surgical Oncology , University of California , Los Angeles , CA , USA.ORCID 0000-0003-3336-9333
Robert M Hoffmana AntiCancer, Inc. , San Diego , CA , USA.
University of California, Los Angeles · USUniversity of California San Diego · USTohoku University · JP

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Establishment of a patient-like mouse models of soft-tissue sarcoma sub-typesR43CA213649 · NCI · ANTICANCER, INC. · PI HOFFMAN, ROBERT M · 2017 to 2017
$225k
NCI NIH HHS P30 CA016042NCI NIH HHS R43 CA213649
6 · The paper itself

Abstract

Doxorubicin (DOX) is often first-line treatment of undifferentiated/unclassified soft tissue sarcoma (USTS). However, the DOX response rate for USTS patients is low. Individualized precision-medicine technology that could identify DOX responders as well as non-responders would be of high value to cancer patients. In the present study, we established 5 patient-derived orthotopic xenograft (PDOX) nude mouse models from 5 USTS patients and evaluated the efficacy of DOX in each PDOX model. USTS's were grown orthotopically in the right thigh of nude mice to establish the PDOX models. Two weeks after implantation, the mouse models were randomized into two groups of 8 mice each: untreated control; and DOX (3 mg/kg, i.p., once a week for 2 weeks). DOX showed significant growth inhibition in only 2 USTS PDOX models out of 5 (p = 0.0054, p = 0.0055, respectively) on day 14 after initiation. DOX was ineffective in the other 3 PDOX models. However, even in the DOX-sensitive cases, DOX could not regress the PDOX tumors responding to treatment. The present study has important implications since this is the first in vivo study to compare the DOX sensitivity for USTS on multiple patient tumors. We showed that only two of five USTS were responsive to DOX, despite DOX being first line chemotherapy for USTS. The 3 resistant cases should not be treated with DOX clinically, in order to spare the patients' unnecessary toxicity. This PDOX model is useful for precise individualized drug sensitivity testing, especially for rare heterogeneous recalcitrant sarcomas such as USTS.

Indexed as

AgedAnimalsAntibiotics, AntineoplasticBody WeightCell Line, TumorDisease Models, AnimalDoxorubicinFemaleHumansMaleMiceMice, NudeMiddle AgedMuscle NeoplasmsPrecision MedicineSarcomaAntibiotics, AntineoplasticDoxorubicindoxorubicindrug-responseindividualized therapynude micePDOXprecision therapySoft tissue sarcoma (STS)undifferentiated/unclassified soft tissue sarcoma (USTS)

Identifiers

PMID29384032
PMCPMC5969558
OpenAlexW2792858278

What OpenQuestion holds

Textmetadata
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.