Evidence map›Paper›PMID 31723286›Full record

ReviewNature2019

A view on drug resistance in cancer.

Neil Vasan, José Baselga, David M Hyman

Registry-linked trialAbstract readReview
In one paragraph

Review in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06534762 (Efficacy and Safety of Milaberon in Combination With Standard Therapy in Advanced Solid Tumors), which is not on this map. Cited by 1,420 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,420citing papers in PubMed, 2 pooled it
–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.

NCT06534762 phase2recruitingnot on this mapstarted 2024, after this paper: background citation

Efficacy and Safety of Milaberon in Combination With Standard Therapy in Advanced Solid Tumors: an Open, Multicenter, Clinical Study

TypeinterventionalSponsorZhejiang Provincial People's HospitalRan2024 to 2028Enrolled260ConditionsNSCLC, SCLC, Colorectal Cancer, Pancreas CancerArmsMirabegron
3 · Its place in the literature

Who cites it

1,420 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Targeting the BMX in cancer: molecular mechanisms and emerging therapeutic strategies.Journal of enzyme inhibition and medicinal chemistry · 2026
    Review
  6. Article
  7. PROTACs in cancer therapy: targeted degradation of GPX4, PARP and epigenetic regulators.Journal of enzyme inhibition and medicinal chemistry · 2026
    Review
  8. NAR cancer · 2026
    Article
  9. Review
  10. Article
  11. Possible Links Between PMInternational journal of molecular sciences · 2026
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

1,360 more citing papers are in PubMed but not listed here.

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

3 authors.

Neil VasanMemorial Sloan Kettering Cancer Center, New York, NY, USA.
José Baselga *Memorial Sloan Kettering Cancer Center, New York, NY, USA.
David M Hyman *Memorial Sloan Kettering Cancer Center, New York, NY, USA. hymand@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Investigational Cancer Therapeutics Training Program (ICTTP)T32CA009207 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Omar Abdel-Wahab, Alexander Drilon · 1985 to 2026
$13.7M
Unraveling resistance to PI3K-alpha inhibitors in breast cancerR01CA190642 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SCALTRITI, MAURIZIO · 2015 to 2019
$2.2M
Targeting AKT-Mutant Human CancersR01CA207244 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SOLIT, DAVID B. · 2016 to 2020
$2.0M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA190642NCI NIH HHS R01 CA190642-01A1NCI NIH HHS R01 CA207244NCI NIH HHS T32 CA009207
6 · The paper itself

Abstract

The problem of resistance to therapy in cancer is multifaceted. Here we take a reductionist approach to define and separate the key determinants of drug resistance, which include tumour burden and growth kinetics; tumour heterogeneity; physical barriers; the immune system and the microenvironment; undruggable cancer drivers; and the many consequences of applying therapeutic pressures. We propose four general solutions to drug resistance that are based on earlier detection of tumours permitting cancer interception; adaptive monitoring during therapy; the addition of novel drugs and improved pharmacological principles that result in deeper responses; and the identification of cancer cell dependencies by high-throughput synthetic lethality screens, integration of clinico-genomic data and computational modelling. These different approaches could eventually be synthesized for each tumour at any decision point and used to inform the choice of therapy.

Indexed as

Antineoplastic AgentsDrug Resistance, NeoplasmHumansModels, BiologicalNeoplasmsTumor MicroenvironmentAntineoplastic Agents

Identifiers

PMID31723286
PMCPMC8008476

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.