Evidence map›Paper›PMID 39289594›Full record

ReviewNature cancer2024

Targeting therapy-persistent residual disease.

Xiaoxiao Sun, Lani F Wu, Steven J Altschuler, Aaron N Hata

Abstract readReview
In one paragraph

Review in Nature cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Xiaoxiao SunDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-9689-9385
Lani F WuDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA. lani.wu@ucsf.edu.
Steven J AltschulerDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA. steven.altschuler@ucsf.edu.ORCID http://orcid.org/0000-0001-9142-0796
Aaron N HataMassachusetts General Hospital Cancer Center, Boston, MA, USA. ahata@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-6127-318X

Funding

Project 3P50CA265826 · NCI · DANA-FARBER CANCER INST · PI Daniel Botelho Costa · 2022 to 2026
$13.7M
Maximizing the predictive power of high-throughput, microscopy-based phenotypic screensR01CA184984 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WU, LANI F · 2014 to 2025
$4.7M
Mechanisms driving lung cancer evolution during targeted kinase inhibitor treatmentR01CA249291 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HATA, AARON N · 2020 to 2024
$2.6M
NCI NIH HHS P50 CA265826NCI NIH HHS R01 CA249291U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01 CA134832
6 · The paper itself

Abstract

Disease relapse driven by acquired drug resistance limits the effectiveness of most systemic anti-cancer agents. Targeting persistent cancer cells in residual disease before relapse has emerged as a potential strategy for enhancing the efficacy and the durability of current therapies. However, barriers remain to implementing persister-directed approaches in the clinic. This Perspective discusses current preclinical and clinical complexities and outlines key steps toward the development of clinical strategies that target therapy-persistent residual disease.

Indexed as

Neoplasm, ResidualNeoplasmsAnimalsAntineoplastic AgentsDrug Resistance, NeoplasmHumansMolecular Targeted TherapyNeoplasm Recurrence, LocalAntineoplastic Agents

Identifiers

PMID39289594
PMCPMC12160366

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.