Evidence map›Paper›PMID 33987095›Full record

ReviewFrontiers in oncology2021

Innovative Approaches in the Battle Against Cancer Recurrence: Novel Strategies to Combat Dormant Disseminated Tumor Cells.

Scott Sauer, Damon R Reed, Michael Ihnat, Robert E Hurst, David Warshawsky, Dalit Barkan

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06596343 (Study on the Value of Traditional Chinese Medicine Precision Treatment Based on Syndrome Differentiation in Postoperative Adjuvant Therapy for Locally Advanced Colorectal Cancer), which is not on this map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% of its field
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.

NCT06596343 phase2not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Study on the Value of Traditional Chinese Medicine Precision Treatment Based on Syndrome Differentiation in Postoperative Adjuvant Therapy for Locally Advanced Colorectal Cancer

TypeinterventionalSponsorSir Run Run Shaw HospitalRan2024 to 2027Enrolled80ConditionsLocally Advanced Colorectal Cancer, Postoperative Adjuvant TherapyArmsAdjuvant Chemotherapy Combined with Traditional Chinese Medicine (TCM) Supportive Therapy
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Leptin signaling in breast cancer and its crosstalk with peroxisome proliferator-activated receptors α and γ.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Pooled it
  2. Article
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  4. Article
  5. Unlocking Lung Cancer Cell Dormancy: An Epigenetic Perspective.International journal of molecular sciences · 2025
    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

6 authors at 3 institutions in 2 countries.

Scott SauerVuja De Sciences Inc., Hoboken, NJ, United States.
Damon R ReedDepartment of Individualized Cancer Management, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
Michael IhnatDepartment of Pharmaceutical Sciences, College of Pharmacy, Oklahoma University Health Sciences Center, Oklahoma City, OK, United States.
Robert E HurstVuja De Sciences Inc., Hoboken, NJ, United States.
David WarshawskyVuja De Sciences Inc., Hoboken, NJ, United States.
Dalit BarkanDepartment of Human Biology and Medical Sciences, University of Haifa, Haifa, Israel.
Moffitt Cancer Center · USOU HealthUniversity of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer recurrence remains a great fear for many cancer survivors following their initial, apparently successful, therapy. Despite significant improvement in the overall survival of many types of cancer, metastasis accounts for ~90% of all cancer mortality. There is a growing understanding that future therapeutic practices must accommodate this unmet medical need in preventing metastatic recurrence. Accumulating evidence supports dormant disseminated tumor cells (DTCs) as a source of cancer recurrence and recognizes the need for novel strategies to target these tumor cells. This review presents strategies to target dormant quiescent DTCs that reside at secondary sites. These strategies aim to prevent recurrence by maintaining dormant DTCs at bay, or eradicating them. Various approaches are presented, including: reinforcing the niche where dormant DTCs reside in order to keep dormant DTCs at bay; promoting cell intrinsic mechanisms to induce dormancy; preventing the engagement of dormant DTCs with their supportive niche in order to prevent their reactivation; targeting cell-intrinsic mechanisms mediating long-term survival of dormant DTCs; sensitizing dormant DTCs to chemotherapy treatments; and, inhibiting the immune evasion of dormant DTCs, leading to their demise. Various therapeutic approaches, some of which utilize drugs that are already approved, or have been tested in clinical trials and may be considered for repurposing, will be discussed. In addition, clinical evidence for the presence of dormant DTCs will be reviewed, along with potential prognostic biomarkers to enable the identification and stratification of patients who are at high risk of recurrence, and who could benefit from novel dormant DTCs targeting therapies. Finally, we will address the shortcomings of current trial designs for determining activity against dormant DTCs and provide novel approaches.

Indexed as

cancer recurrencedisseminated tumor cellsimmune evasion and clinical trialsmetastasistumor dormancytumor microenvironment

Identifiers

PMID33987095
PMCPMC8111294
OpenAlexW3159530350

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.