Evidence map›Paper›PMID 35279152›Full record

ArticleMolecular cancer2022

Tumorigenic circulating tumor cells from xenograft mouse models of non-metastatic NSCLC patients reveal distinct single cell heterogeneity and drug responses.

Kanve N Suvilesh, Yulia I Nussbaum, Vijay Radhakrishnan, Yariswamy Manjunath, Diego M Avella, Kevin F Staveley-O'Carroll, Eric T Kimchi, Aadel A Chaudhuri, Chi-Ren Shyu, Guangfu Li and 4 more

Open access · goldAbstract readLetter
In one paragraph

Article in Molecular cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 43 citations in OpenAlex.

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  16. Targeting AKR1B10 by Drug Repurposing with Epalrestat Overcomes Chemoresistance in Non-Small Cell Lung Cancer Patient-Derived Tumor Organoids.Clinical cancer research : an official journal of the American Association for Cancer Research · 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

14 authors at 4 institutions in 2 countries.

Kanve N SuvileshDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA.
Yulia I NussbaumInstitute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
Vijay RadhakrishnanDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA.
Yariswamy ManjunathDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA.
Diego M AvellaDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA.
Kevin F Staveley-O'CarrollDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA.
Eric T KimchiDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA.
Aadel A ChaudhuriSiteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
Chi-Ren ShyuInstitute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
Guangfu LiDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA.
Klaus PantelInstitute for Tumor Biology, University of Hamburg, Hamburg, Germany.
Wesley C WarrenDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA.
Jonathan B MitchemDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA. mitchemj@health.missouri.edu.
Jussuf T KaifiDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri, One Hospital Drive, Columbia, MO, 65212, USA. jkaifi@gmail.com.ORCID 0000-0003-3425-2356
Washington University in St. Louis · USUniversity of Missouri Hospital · USUniversity of Missouri · USUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating tumor cells (CTCs) are liquid biopsies that represent micrometastatic disease and may offer unique insights into future recurrences in non-small cell lung cancer (NSCLC). Due to CTC rarity and limited stability, no stable CTC-derived xenograft (CDX) models have ever been generated from non-metastatic NSCLC patients directly. Alternative strategies are needed to molecularly characterize CTCs and means of potential future metastases in this potentially curable patient group.

methodsSurgically resected NSCLC primary tumor tissues from non-metastatic patients were implanted subcutaneously in immunodeficient mice to establish primary tumor patient-derived xenograft (ptPDX) models. CTCs were isolated as liquid biopsies from the blood of ptPDX mice and re-implanted subcutaneously into naïve immunodeficient mice to generate liquid biopsy CTC-derived xenograft (CDX) tumor models. Single cell RNA sequencing was performed and validated in an external dataset of non-xenografted human NSCLC primary tumor and metastases tissues. Drug response testing in CDX models was performed with standard of care chemotherapy (carboplatin/paclitaxel). Blockade of MYC, which has a known role in drug resistance, was performed with a MYC/MAX dimerization inhibitor (10058-F4).

resultsOut of ten ptPDX, two (20%) stable liquid biopsy CDX mouse models were generated. Single cell RNA sequencing analysis revealed an additional regenerative alveolar epithelial type II (AT2)-like cell population in CDX tumors that was also identified in non-xenografted NSCLC patients' metastases tissues. Drug testing using these CDX models revealed different treatment responses to carboplatin/paclitaxel. MYC target genes and c-MYC protein were upregulated in the chemoresistant CDX model, while MYC/MAX dimerization blocking could overcome chemoresistance to carboplatin/paclitaxel.

conclusionsTo overcome the lack of liquid biopsy CDX models from non-metastatic NSCLC patients, CDX models can be generated with CTCs from ptPDX models that were originally established from patients' primary tumors. Single cell analyses can identify distinct drug responses and cell heterogeneities in CDX tumors that can be validated in NSCLC metastases tissues. CDX models deserve further development and study to discover personalized strategies against micrometastases in non-metastatic NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNeoplastic Cells, CirculatingAnimalsCarboplatinCarcinogenesisDisease Models, AnimalHeterograftsHumansMicePaclitaxelCarboplatinPaclitaxel

Identifiers

PMID35279152
PMCPMC8917773
OpenAlexW4220677986

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.