Evidence map›Paper›PMID 37627156›Full record

ArticleCancers2023

Development of a Patient-Derived 3D Immuno-Oncology Platform to Potentiate Immunotherapy Responses in Ascites-Derived Circulating Tumor Cells.

Thomas J Gerton, Allen Green, Marco Campisi, Minyue Chen, Iliana Gjeci, Navin Mahadevan, Catherine A A Lee, Ranjan Mishra, Ha V Vo, Koji Haratani and 10 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-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

4 citing papers in PubMed, 7 citations in OpenAlex.

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

20 authors at 3 institutions in 1 country.

Thomas J GertonDivision of Women's and Perinatal Pathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Allen GreenDivision of Women's and Perinatal Pathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Marco CampisiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-9288-5285
Minyue ChenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Iliana GjeciBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Navin MahadevanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-6805-8861
Catherine A A LeeDivision of Dermatopathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-8525-9342
Ranjan MishraWhitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Ha V VoBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Koji HarataniDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-1767-6854
Ze-Hua LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0001-6342-3324
Kathleen T HasselblattDepartment of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Bryanna TestinoDivision of Women's and Perinatal Pathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Trevor ConnorDivision of Women's and Perinatal Pathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Christine G LianDivision of Dermatopathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Kevin M EliasDepartment of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-1502-5553
Patrick LizotteBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0001-9510-0036
Elena V IvanovaBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
David A BarbieDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Daniela M DinulescuDivision of Women's and Perinatal Pathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Dana-Farber Cancer Institute · USBrigham and Women's Hospital · USWhitehead Institute for Biomedical Research · US

Funding

Subcellular Enzyme-instructed self-assembly for molecular anticancer nanomedicinesR01CA142746 · NCI · BRANDEIS UNIVERSITY · PI Bing Xu · 2010 to 2026
$6.4M
Early Detection through Novel OCEAN Technology - Ovarian Cancer Exosomal Analysis with NanoplasmonicsU01CA233360 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, DINULESCU, DANIELA M · 2018 to 2022
$3.5M
CaNCURE: Cancer Nanomedicine Co-ops For Undergraduate Research ExperiencesR25CA174650 · NCI · NORTHEASTERN UNIVERSITY · PI SRINIVAS SRIDHAR · 2014 to 2026
$3.4M
Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment MonitoringR01CA239078 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BALAJ, LEONORA, LEE, HAKHO · 2020 to 2024
$3.1M
NCI NIH HHS R01 CA142746NCI NIH HHS R01 CA239078NCI NIH HHS R25 CA174650NCI NIH HHS U01 CA233360NIH HHS 1U01CA233360-01NIH HHS R25CA174650NIH HHS RO1CA142746
6 · The paper itself

Abstract

High-grade serous ovarian cancer (HGSOC) is responsible for the majority of gynecology cancer-related deaths. Patients in remission often relapse with more aggressive forms of disease within 2 years post-treatment. Alternative immuno-oncology (IO) strategies, such as immune checkpoint blockade (ICB) targeting the PD-(L)1 signaling axis, have proven inefficient so far. Our aim is to utilize epigenetic modulators to maximize the benefit of personalized IO combinations in ex vivo 3D patient-derived platforms and in vivo syngeneic models. Using patient-derived tumor ascites, we optimized an ex vivo 3D screening platform (PDOTS), which employs autologous immune cells and circulating ascites-derived tumor cells, to rapidly test personalized IO combinations. Most importantly, patient responses to platinum chemotherapy and poly-ADP ribose polymerase inhibitors in 3D platforms recapitulate clinical responses. Furthermore, similar to clinical trial results, responses to ICB in PDOTS tend to be low and positively correlated with the frequency of CD3+ immune cells and EPCAM+/PD-L1+ tumor cells. Thus, the greatest response observed with anti-PD-1/anti-PD-L1 immunotherapy alone is seen in patient-derived HGSOC ascites, which present with high levels of systemic CD3+ and PD-L1+ expression in immune and tumor cells, respectively. In addition, priming with epigenetic adjuvants greatly potentiates ICB in ex vivo 3D testing platforms and in vivo tumor models. We further find that epigenetic priming induces increased tumor secretion of several key cytokines known to augment T and NK cell activation and cytotoxicity, including IL-6, IP-10 (CXCL10), KC (CXCL1), and RANTES (CCL5). Moreover, epigenetic priming alone and in combination with ICB immunotherapy in patient-derived PDOTS induces rapid upregulation of CD69, a reliable early activation of immune markers in both CD4+ and CD8+ T cells. Consequently, this functional precision medicine approach could rapidly identify personalized therapeutic combinations able to potentiate ICB, which is a great advantage, especially given the current clinical difficulty of testing a high number of potential combinations in patients.

Indexed as

ascitesepigeneticICBmethylationovarian cancerPD-1PD-L1PDOTS

Identifiers

PMID37627156
PMCPMC10452550
OpenAlexW4385877600

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.