Evidence map›Paper›PMID 31815659›Full record

ReviewJournal of hematology & oncology2019

Emerging insights of tumor heterogeneity and drug resistance mechanisms in lung cancer targeted therapy.

Zuan-Fu Lim, Patrick C Ma

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06413212 (Exploratory Study of Precise Therapy for Advanced Tumor Patients With Malignant Hydrothorax or Ascites by Using PTC Drug Sensitivity Testing), which is not on this map. Cited by 372 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
372citing papers in PubMed, 1 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.

NCT06413212 recruitingnot on this mapstarted 2023, after this paper: background citation

Exploratory Study of Precise Therapy for Advanced Tumor Patients With Malignant Hydrothorax or Ascites by Using PTC Drug Sensitivity Testing

TypeobservationalSponsorLiu HuangRan2023 to 2025Enrolled55ConditionsLung Cancer, Breast Cancer, Gastric Cancer, Colorectal CancerArmsPatient-derived tumor-like cell clusters (PTC) drug sensitivity testing.
3 · Its place in the literature

Who cites it

372 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Multilevel Mechanisms of Cancer Drug Resistance.International journal of molecular sciences · 2024
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. HIF1AJournal for immunotherapy of cancer · 2026
    Article
  6. Article
  7. Review
  8. Single-cell and bulk transcriptomic profiling of metabolism-related lncRNAs reveals tumor heterogeneity and prognostic markers in non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  9. Article
  10. Green nanomedicine for cancer therapy.Chinese medical journal · 2026
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

312 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

2 authors.

Zuan-Fu LimWVU Cancer Institute, West Virginia University, Morgantown, WV, 26506, USA.
Patrick C MaPenn State Cancer Institute, Penn State Health Milton S. Hershey Medical Center, Penn State University, P.O. Box 850, Mail Code CH46, 500 University Drive, Hershey, PA, 17033-0850, USA. patrickma@pennstatehealth.psu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biggest hurdle to targeted cancer therapy is the inevitable emergence of drug resistance. Tumor cells employ different mechanisms to resist the targeting agent. Most commonly in EGFR-mutant non-small cell lung cancer, secondary resistance mutations on the target kinase domain emerge to diminish the binding affinity of first- and second-generation inhibitors. Other alternative resistance mechanisms include activating complementary bypass pathways and phenotypic transformation. Sequential monotherapies promise to temporarily address the problem of acquired drug resistance, but evidently are limited by the tumor cells' ability to adapt and evolve new resistance mechanisms to persist in the drug environment. Recent studies have nominated a model of drug resistance and tumor progression under targeted therapy as a result of a small subpopulation of cells being able to endure the drug (minimal residual disease cells) and eventually develop further mutations that allow them to regrow and become the dominant population in the therapy-resistant tumor. This subpopulation of cells appears to have developed through a subclonal event, resulting in driver mutations different from the driver mutation that is tumor-initiating in the most common ancestor. As such, an understanding of intratumoral heterogeneity-the driving force behind minimal residual disease-is vital for the identification of resistance drivers that results from branching evolution. Currently available methods allow for a more comprehensive and holistic analysis of tumor heterogeneity in that issues associated with spatial and temporal heterogeneity can now be properly addressed. This review provides some background regarding intratumoral heterogeneity and how it leads to incomplete molecular response to targeted therapies, and proposes the use of single-cell methods, sequential liquid biopsy, and multiregion sequencing to discover the link between intratumoral heterogeneity and early adaptive drug resistance. In summary, minimal residual disease as a result of intratumoral heterogeneity is the earliest form of acquired drug resistance. Emerging technologies such as liquid biopsy and single-cell methods allow for studying targetable drivers of minimal residual disease and contribute to preemptive combinatorial targeting of both drivers of the tumor and its minimal residual disease cells.

Indexed as

Genetic HeterogeneityBiomarkers, TumorDrug Resistance, NeoplasmHumansLung NeoplasmsNeoplasm, ResidualPrognosisProtein Kinase InhibitorsBiomarkers, TumorProtein Kinase InhibitorsAcquired drug resistanceAdaptive evolutionMinimal residual diseaseTumor heterogeneity

Identifiers

PMID31815659
PMCPMC6902404

What OpenQuestion holds

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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.