Evidence map›Paper›PMID 31820393›Full record

ReviewAdvances in experimental medicine and biology2019

Using Reverse Phase Protein Array (RPPA) to Identify and Target Adaptive Resistance.

Marilyne Labrie, Yong Fang, Nicholas D Kendsersky, Jun Li, Han Liang, Shannon N Westin, Zahi Mitri, Gordon B Mills

Abstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

8 authors.

Marilyne LabrieKnight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA. labriem@ohsu.edu.
Yong FangKnight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.
Nicholas D KendserskyKnight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.
Jun LiDepartment of Gynecological Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
Han LiangDepartment of Gynecological Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
Shannon N WestinDepartment of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
Zahi MitriKnight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.
Gordon B MillsKnight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.

Funding

U.T. M. D. Anderson Cancer Center SPORE in Ovarian CancerP50CA217685 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SOOD, ANIL K · 2017 to 2021
$7.9M
NCI NIH HHS P50 CA217685
6 · The paper itself

Abstract

Tumor cells and the tumor ecosystem rapidly evolve in response to therapy. This tumor evolution results in the rapid emergence of drug resistance that limits the magnitude and duration of response to therapy including chemotherapy, targeted therapy, and immunotherapy. Thus, there is an urgent need to understand and interdict tumor evolution to improve patient benefit to therapy. Reverse phase protein array (RPPA) provides a powerful tool to evaluate and develop approaches to target the processes underlying one form of tumor evolution: adaptive evolution. Tumor cells and the tumor microenvironment rapidly evolve through rewiring of protein networks to bypass the effects of therapy. In this review, we present the concepts underlying adaptive resistance and use of RPPA in understanding resistance mechanisms and identification of effective drug combinations. We further demonstrate that this novel information is resulting in biomarker-driven trials aimed at targeting adaptive resistance and improving patient outcomes.

Indexed as

Drug Resistance, NeoplasmNeoplasmsProtein Array AnalysisBiological EvolutionHumansImmunotherapyTumor MicroenvironmentAdaptive resistanceCombination therapyReverse phase protein arrayTargeted therapyTumor evolution

Identifiers

PMID31820393
PMCPMC7382818

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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.