Evidence map›Paper›PMID 37781632›Full record

ArticlebioRxiv : the preprint server for biology2023

Testing Adaptive Therapy Protocols using Gemcitabine and Capecitabine on a Mouse Model of Endocrine-Resistant Breast Cancer.

Sareh Seyedi, Ruthanne Teo, Luke Foster, Daniel Saha, Lida Mina, Donald Northfelt, Karen S Anderson, Darryl Shibata, Robert Gatenby, Luis Cisneros and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Sareh SeyediArizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85287, USA.
Ruthanne TeoSchool of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
Luke FosterArizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85287, USA.
Daniel SahaArizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85287, USA.
Lida MinaDivision of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ.
Donald NorthfeltDivision of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ.
Karen S AndersonSchool of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
Darryl ShibataDepartment of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA 90033, USA.
Robert GatenbyCenter for Evolutionary Therapy and Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL 33629, USA.
Luis CisnerosArizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85287, USA.
Brigid TroanDepartment of Population Health and Pathobiology, North Carolina State University College of Veterinary Medicine, Raleigh, NC, 27606, USA.
Alexander R A AndersonCenter for Evolutionary Therapy and Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL 33629, USA.
Carlo C MaleyArizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85287, USA.

Funding

Molecular, Cellular and Tissue Characterization UnitU2CCA233254 · NCI · DUKE UNIVERSITY · PI HWANG, E.SHELLEY, MALEY, CARLO · 2018 to 2023
$11.4M
The Role of the Microbiome in Cancer Suppression and Susceptibility Across SpeciesU54CA217376 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MALEY, CARLO · 2018 to 2022
$8.6M
Eco-Evolutionary dynamics of NSCLC to immunotherapy: Response and ResistanceU01CA232382 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, ANTONIA, SCOTT J. · 2018 to 2022
$3.3M
NCI NIH HHS U01 CA232382NCI NIH HHS U2C CA233254NCI NIH HHS U54 CA217376
6 · The paper itself

Abstract

Highly effective cancer therapies often face limitations due to acquired resistance and toxicity. Adaptive therapy, an ecologically inspired approach, seeks to control therapeutic resistance and minimize toxicity by leveraging competitive interactions between drug-sensitive and drug-resistant subclones, prioritizing patient survival and quality of life over maximum cell kill. In preparation for a clinical trial in breast cancer, we used large populations of MCF7 cells to rapidly generate endocrine-resistance breast cancer cell line. We then mimicked second line therapy in ER+ breast cancers by treating the endocrine-resistant MCF7 cells in a mouse xenograft model to test adaptive therapy with capecitabine, gemcitabine, or the combination of those two drugs. Dose-modulation adaptive therapy with capecitabine alone increased survival time relative to MTD, but not statistically significant (HR: 0.22, 95% CI 0.043- 1.1 P = 0.065). However, when we alternated the drugs in both dose modulation (HR = 0.11, 95% CI: 0.024 - 0.55, P = 0.007) and intermittent adaptive therapies significantly increased survival time compared to high dose combination therapy (HR = 0.07, 95% CI: 0.013 - 0.42; P = 0.003). Overall, survival time increased with reduced dose for both single drugs (P < 0.01) and combined drugs (P < 0.001). Adaptive therapy protocols resulted in tumors with lower proportions of proliferating cells (P = 0.0026) and more apoptotic cells (P = 0.045). The results show that Adaptive therapy outperforms high-dose therapy in controlling endocrine-resistant breast cancer, favoring slower-growing tumors, and showing promise in two-drug alternating regimens.

Identifiers

PMID37781632
PMCPMC10541126

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.