Evidence map›Paper›PMID 32824490›Full record

ReviewCancers2020

Immune Checkpoint Inhibitors in pMMR Metastatic Colorectal Cancer: A Tough Challenge.

Federica Marmorino, Alessandra Boccaccino, Marco Maria Germani, Alfredo Falcone, Chiara Cremolini

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04895137 (Safety and Efficacy of mFOLFOX6+ Bevacizumab+PD-1 Monoclonal Antibody Treatment Combinations in Patients With Local Advanced Microsatellite Stability Colorectal Cancer --an Open Label, Multicenter, Prospective Phase Ⅱ Study), which is not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% 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.

NCT04895137 phase2completednot on this mapstarted 2021, after this paper: background citation

Safety and Efficacy of mFOLFOX6+ Bevacizumab+PD-1 Monoclonal Antibody Treatment Combinations in Patients With Local Advanced Microsatellite Stability Colorectal Cancer --an Open Label, Multicenter, Prospective Phase Ⅱ Study (BASKETII)

TypeinterventionalSponsorSixth Affiliated Hospital, Sun Yat-sen UniversityRan2021 to 2024Enrolled42ConditionsColorectal Cancer, ImmunotherapyArmsmFOLFOX6+Bevacizumab+PD-1 monoclonal antibody treatment combinations
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Heat-killedFrontiers in immunology · 2026
    Article
  5. Article
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  8. Promising immunotherapeutic treatments for colon cancer.Medical oncology (Northwood, London, England) · 2025
    Review
  9. Article
  10. Improved survival of patients receiving immunotherapy and chemotherapy following curative-intent resection of colorectal liver metastases.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2024
    Article
  11. Circulating Tumor DNA to Drive Treatment in Metastatic Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Review
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  20. Review
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

5 authors at 2 institutions in 1 country.

Federica MarmorinoDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, via Risorgimento 36, 56126 Pisa, Italy.
Alessandra BoccaccinoDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, via Risorgimento 36, 56126 Pisa, Italy.
Marco Maria GermaniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, via Risorgimento 36, 56126 Pisa, Italy.
Alfredo FalconeDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, via Risorgimento 36, 56126 Pisa, Italy.
Chiara CremoliniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, via Risorgimento 36, 56126 Pisa, Italy.
University of Pisa · ITAzienda Ospedaliera Universitaria Pisana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of checkpoint inhibitors provided remarkable achievements in several solid tumors but only 5% of metastatic colorectal cancer (mCRC) patients, i.e., those with bearing microsatellite instable (MSI-high)/deficient DNA mismatch repair (dMMR) tumors, benefit from this approach. The favorable effect of immunotherapy in these patients has been postulated to be due to an increase in neoantigens due to their higher somatic mutational load, also associated with an abundant infiltration of immune cells in tumor microenvironment (TME). While in patients with dMMR tumors checkpoint inhibitors allow achieving durable response with dramatic survival improvement, current results in patients with microsatellite stable (MSS or MSI-low)/proficient DNA mismatch repair (pMMR) tumors are disappointing. These tumors show low mutational load and absence of "immune-competent" TME, and are intrinsically resistant to immune checkpoint inhibitors. Modifying the interplay among cancer cells, TME and host immune system is the aim of multiple lines of research in order to enhance the immunogenicity of pMMR mCRC, and exploit immunotherapy also in this field. Here, we focus on the rationale behind ongoing clinical trials aiming at extending the efficacy of immunotherapy beyond the MSI-high/dMMR subgroup with particular regard to academic no-profit studies.

Indexed as

immune checkpoint inhibitorsmetastatic colorectal cancermicrosatellite stableproficient DNA mismatch repair

Identifiers

PMID32824490
PMCPMC7465130
OpenAlexW3049717246

What OpenQuestion holds

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LicenceCC BY
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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.