Evidence map›Paper›PMID 29322204›Full record

ReviewInflammation research : official journal of the European Histamine Research Society ... [et al.]2018

Evolving notions on immune response in colorectal cancer and their implications for biomarker development.

Fabio Grizzi, Gianluca Basso, Elena Monica Borroni, Tommaso Cavalleri, Paolo Bianchi, Sanja Stifter, Maurizio Chiriva-Internati, Alberto Malesci, Luigi Laghi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Implication of gut microbiome in immunotherapy for colorectal cancer.World journal of gastrointestinal oncology · 2022
    Review
  6. [Establishment of a prediction model for colorectal cancer immune cell infiltration based on the cancer genome atlas (TCGA) database].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Meeting report from the joint IARC-NCI international cancer seminar series: a focus on colorectal cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2019
    Article
  18. Review
  19. Review
  20. 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

9 authors at 4 institutions in 3 countries.

Fabio GrizziDepartment of Immunology and Inflammation, Humanitas Clinical and Research Center, Via Manzoni 56, 20089, Rozzano, Milan, Italy. fabio.grizzi@humanitasresearch.it.
Gianluca BassoLaboratory of Molecular Gastroenterology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.
Elena Monica BorroniDepartment of Biotechnology and Translational Medicine, University of Milan, Milan, Italy.
Tommaso CavalleriLaboratory of Molecular Gastroenterology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.
Paolo BianchiLaboratory of Molecular Gastroenterology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.
Sanja StifterDepartment of Pathology, School of Medicine, University of Rijeka, Rijeka, Croatia.
Maurizio Chiriva-InternatiDepartment of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Alberto MalesciLaboratory of Molecular Gastroenterology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.
Luigi LaghiLaboratory of Molecular Gastroenterology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.
Humanitas University · ITUniversity of Milan · ITThe University of Texas MD Anderson Cancer Center · USUniversity of Rijeka · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionColorectal cancer (CRC) still represents the third most commonly diagnosed type of cancer in men and women worldwide. CRC is acknowledged as a heterogeneous disease that develops through a multi-step sequence of events driven by clonal selections; this observation is sustained by the fact that histologically similar tumors may have completely different outcomes, including a varied response to therapy.

methodsIn "early" and "intermediate" stage of CRC (stages II and III, respectively) there is a compelling need for new biomarkers fit to assess the metastatic potential of their disease, selecting patients with aggressive disease that might benefit from adjuvant and targeted therapies. Therefore, we review the actual notions on immune response in colorectal cancer and their implications for biomarker development.

resultsThe recognition of the key role of immune cells in human cancer progression has recently drawn attention on the tumor immune microenvironment, as a source of new indicators of tumor outcome and response to therapy. Thus, beside consolidated histopathological biomarkers, immune endpoints are now emerging as potential biomarkers.

conclusionsThe introduction of immune signatures and cellular and molecular components of the immune system as biomarkers is particularly important considering the increasing use of immune-based cancer therapies as therapeutic strategies for cancer patients.

Indexed as

AnimalsBiomarkersBiomarkers, TumorColorectal NeoplasmsHumansNeoplasm StagingPrognosisBiomarkersBiomarkers, TumorBiomarkersChemokinesColorectal cancerImmunityMacrophagesPrognosisT-lymphocytes

Identifiers

PMID29322204
OpenAlexW2783027548

What OpenQuestion holds

Textmetadata
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.