Evidence map›Paper›PMID 32546544›Full record

ArticleScience signaling2020

High-throughput dynamic BH3 profiling may quickly and accurately predict effective therapies in solid tumors.

Patrick D Bhola, Eman Ahmed, Jennifer L Guerriero, Ewa Sicinska, Emily Su, Elizaveta Lavrova, Jing Ni, Otari Chipashvili, Timothy Hagan, Marissa S Pioso and 9 more

Abstract read
In one paragraph

Article in Science signaling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
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

45 citing papers in PubMed.

  1. Article
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  8. Review
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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

19 authors.

Patrick D BholaDana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-2438-4526
Eman AhmedDana-Farber Cancer Institute, Boston, MA 02215, USA.
Jennifer L GuerrieroDana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-2104-5457
Ewa SicinskaDana-Farber Cancer Institute, Boston, MA 02215, USA.
Emily SuDana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0003-4527-8527
Elizaveta LavrovaDana-Farber Cancer Institute, Boston, MA 02215, USA.
Jing NiDana-Farber Cancer Institute, Boston, MA 02215, USA.
Otari ChipashviliDana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-5454-2388
Timothy HaganDana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-5990-6574
Marissa S PiosoDana-Farber Cancer Institute, Boston, MA 02215, USA.
Kelley McQueeneyDana-Farber Cancer Institute, Boston, MA 02215, USA.
Kimmie NgDana-Farber Cancer Institute, Boston, MA 02215, USA.
Andrew J AguirreDana-Farber Cancer Institute, Boston, MA 02215, USA.
James M ClearyDana-Farber Cancer Institute, Boston, MA 02215, USA.
David CocozzielloBroad Institute, Cambridge, MA 02115, USA.ORCID 0000-0001-5497-6031
Alaba SotayoDana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0003-0946-7590
Jeremy RyanDana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-3327-1283
Jean J ZhaoDana-Farber Cancer Institute, Boston, MA 02215, USA.
Anthony LetaiDana-Farber Cancer Institute, Boston, MA 02215, USA. anthony_letai@dfci.harvard.edu.ORCID 0000-0002-1993-9013

Funding

Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Tissue and Pathology CoreP50CA168504 · NCI · DANA-FARBER CANCER INST · PI MYLES A BROWN · 2013 to 2026
$30.1M
Integrating targeted therapy and immunotherapy to break through cancerR35CA210057 · NCI · DANA-FARBER CANCER INST · PI Jean Zhao · 2016 to 2026
$10.8M
Reading mitochondrial apoptotic signaling to identify active cancer therapeuticsR35CA242427 · NCI · DANA-FARBER CANCER INST · PI LETAI, ANTHONY G · 2019 to 2025
$7.0M
Novel randomized controlled trials of vitamin D supplementation in patients with colorectal cancer: Impact on survival and biologyR01CA205406 · NCI · DANA-FARBER CANCER INST · PI Kimmie Ng · 2017 to 2026
$4.9M
(PQ5) Investigation of intertumoral and intratumoral heterogeneity of mitochondrial apoptotic sensitivityR01CA205967 · NCI · DANA-FARBER CANCER INST · PI LETAI, ANTHONY G · 2016 to 2019
$2.0M
Functional interrogation of epigenetic vulnerabilities in KRAS-mutant pancreatic cancerK08CA218420 · NCI · DANA-FARBER CANCER INST · PI AGUIRRE, ANDREW JAMES · 2017 to 2021
$886k
NCI NIH HHS K08 CA218420NCI NIH HHS P50 CA127003NCI NIH HHS P50 CA168504NCI NIH HHS R01 CA205406NCI NIH HHS R01 CA205967NCI NIH HHS R35 CA210057NCI NIH HHS R35 CA242427
6 · The paper itself

Abstract

Despite decades of effort, the sensitivity of patient tumors to individual drugs is often not predictable on the basis of molecular markers alone. Therefore, unbiased, high-throughput approaches to match patient tumors to effective drugs, without requiring a priori molecular hypotheses, are critically needed. Here, we improved upon a method that we previously reported and developed called high-throughput dynamic BH3 profiling (HT-DBP). HT-DBP is a microscopy-based, single-cell resolution assay that enables chemical screens of hundreds to thousands of candidate drugs on freshly isolated tumor cells. The method identifies chemical inducers of mitochondrial apoptotic signaling, a mechanism of cell death. HT-DBP requires only 24 hours of ex vivo culture, which enables a more immediate study of fresh primary tumor cells and minimizes adaptive changes that occur with prolonged ex vivo culture. Effective compounds identified by HT-DBP induced tumor regression in genetically engineered and patient-derived xenograft (PDX) models of breast cancer. We additionally found that chemical vulnerabilities changed as cancer cells expanded ex vivo. Furthermore, using PDX models of colon cancer and resected tumors from colon cancer patients, our data demonstrated that HT-DBP could be used to generate personalized pharmacotypes. Thus, HT-DBP appears to be an ex vivo functional method with sufficient scale to simultaneously function as a companion diagnostic, therapeutic personalization, and discovery tool.

Indexed as

AnimalsApoptosisCell Line, TumorColonic NeoplasmsFemaleHumansMiceNeoplasms, ExperimentalXenograft Model Antitumor Assays

Identifiers

PMID32546544
PMCPMC8023011

What OpenQuestion holds

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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.