Evidence map›Paper›PMID 33353162›Full record

ReviewInternational journal of molecular sciences2020

Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer.

Luigi Laghi, Francesca Negri, Federica Gaiani, Tommaso Cavalleri, Fabio Grizzi, Gian Luigi De' Angelis, Alberto Malesci

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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.

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Association ofGut microbiome (Cambridge, England) · 2025
    Review
  7. Article
  8. Article
  9. IncreasedCancers · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Heterogeneity of Colorectal Cancer Progression: Molecular Gas and Brakes.International journal of molecular sciences · 2021
    Review
  16. Article
  17. Article
  18. Article
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

7 authors at 2 institutions in 1 country.

Luigi LaghiDepartment of Medicine and Surgery, University of Parma, 43121 Parma, Italy.
Francesca NegriMedical Oncology Unit, University Hospital of Parma, 43121 Parma, Italy.ORCID 0000-0002-5847-3623
Federica GaianiDepartment of Medicine and Surgery, University of Parma, 43121 Parma, Italy.ORCID 0000-0001-9615-0086
Tommaso CavalleriLaboratory of Molecular Gastroenterology, Humanitas Clinical and Research Center IRCCS, Rozzano, 20089 Milan, Italy.ORCID 0000-0002-8606-7382
Fabio GrizziDepartment of Immunology and Inflammation, Humanitas Clinical and Research Center IRCCS, Rozzano, 20089 Milan, Italy.ORCID 0000-0003-0925-742X
Gian Luigi De' AngelisDepartment of Medicine and Surgery, University of Parma, 43121 Parma, Italy.
Alberto MalesciDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy.
University of Parma · ITHumanitas University · IT

Funding

AIRC Associazione Italiana Ricerca sul Cancro AIRC IG 2014 Id.16092
6 · The paper itself

Abstract

Understanding molecular features of colon cancer has shed light on its pathogenesis and progression. Over time, some of these features acquired clinical dignity and were incorporated in decision making. Namely, microsatellite instability (MSI) due to mismatch repair of defects, which primarily was adopted for the diagnosis of Lynch syndrome, became recognized as the biomarker of a different disease type, showing a less aggressive behavior. MSI tumors harbor high amounts of tumor infiltrating lymphocytes (TILs) due to their peculiar load in neoantigens. However, microsatellite stable colon cancer may also show high amounts of TILs, and this feature is as well associated with better outcomes. High TIL loads are in general associated with a favorable prognosis, especially in stage II colon cancer, and therein identifies a patient subset with the lowest probability of relapse. With respect to post-surgical adjuvant treatment, particularly in stage III, TILs predictive ability seems to weaken along with the progression of the disease, being less evident in high risk patients. Moving from cohort studies to the analysis of a series from clinical trials contributed to increase the robustness of TILs as a biomarker. The employment of high TIL densities as an indicator of good prognosis in early-stage colon cancers is strongly advisable, while in late-stage colon cancers the employment as an indicator of good responsiveness to post-surgical therapy requires refinement. It remains to be clarified whether TILs could help in identifying those patients with node-positive cancers to whom adjuvant treatment could be spared, at least in low-risk groups as defined by the TNM staging system.

Indexed as

Microsatellite InstabilityAnimalsColonic NeoplasmsHumansImmunityLymphocytes, Tumor-Infiltratingadjuvant therapycolon cancermicrosatellite instability (MSI)prognostic and predictive valuetumor-infiltrating lymphocytes (TILs)

Identifiers

PMID33353162
PMCPMC7766746
OpenAlexW3111191926

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.