Evidence map›Paper›PMID 33800796›Full record

ReviewCancers2021

Tumor Microenvironment in Metastatic Colorectal Cancer: The Arbitrator in Patients' Outcome.

Cristina Galindo-Pumariño, Manuel Collado, Mercedes Herrera, Cristina Peña

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

23 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Cristina Galindo-PumariñoMedical Oncology Department, Ramón y Cajal University Hospital, IRYCIS, CIBERONC, Alcalá University, 28034 Madrid, Spain.
Manuel ColladoMedical Oncology Department, Ramón y Cajal University Hospital, IRYCIS, CIBERONC, Alcalá University, 28034 Madrid, Spain.
Mercedes HerreraDepartment of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden.
Cristina PeñaMedical Oncology Department, Ramón y Cajal University Hospital, IRYCIS, CIBERONC, Alcalá University, 28034 Madrid, Spain.ORCID 0000-0003-4406-8640
Instituto Cajal · ESKarolinska Institutet · SE

Funding

Instituto de Salud Carlos III CB16/12/00273Instituto de Salud Carlos III PI17/01847Instituto de Salud Carlos III PI20/00602
6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most common cancers in western countries. Its mortality rate varies greatly, depending on the stage of the disease. The main cause of CRC mortality is metastasis, which most commonly affects the liver. The role of tumor microenvironment in tumor initiation, progression and metastasis development has been widely studied. In this review we summarize the role of the tumor microenvironment in the liver pre-metastatic niche formation, paying attention to the distant cellular crosstalk mediated by exosomes. Moreover, and based on the prognostic and predictive capacity of alterations in the stromal compartment of tumors, we describe the role of tumor microenvironment cells and related liquid biopsy biomarkers in the delivery of precise medication for metastatic CRC. Finally, we evaluate the different clinical strategies to prevent and treat liver metastatic disease, based on the targeting of the tumor microenvironment. Specifically, targeting angiogenesis pathways and regulating immune response are two important research pipelines that are being widely developed and promise great benefits.

Indexed as

biomarkerscolorectal cancerliquid biopsyliver metastasestumor microenvironment

Identifiers

PMID33800796
PMCPMC7961499
OpenAlexW3134870264

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.