Evidence map›Paper›PMID 39217341›Full record

ReviewCancer cell international2024

Locoregional therapies combined with immune checkpoint inhibitors for liver metastases.

Xing-Chen Zhang, Yu-Wen Zhou, Gui-Xia Wei, Yi-Qiao Luo, Meng Qiu

Abstract readReview
In one paragraph

Review in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. 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.

Xing-Chen Zhang *Department of Colorectal Cancer Center, West China Hospital of Sichuan University, 37 Guoxue Xiang Street, Chengdu, 610041, Sichuan Province, China.
Yu-Wen Zhou *Department of Colorectal Cancer Center, West China Hospital of Sichuan University, 37 Guoxue Xiang Street, Chengdu, 610041, Sichuan Province, China.
Gui-Xia WeiDepartment of Abdominal Cancer, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Yi-Qiao LuoDepartment of Abdominal Cancer, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Meng QiuDepartment of Colorectal Cancer Center, West China Hospital of Sichuan University, 37 Guoxue Xiang Street, Chengdu, 610041, Sichuan Province, China. qiumeng_333@163.com.

Funding

1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University ZYJC21017Sichuan Science and Technology Department Key Research and Development Project 24NSFSC3910
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have achieved remarkable success in clinical research and practice. Notably, liver metastasis is not sensitive to ICIs. Liver locoregional therapies can cause irreversible damage to tumor cells and release tumor antigens, thereby providing a rationale for immunotherapy treatments in liver metastasis. The combination therapy of ICIs with locoregional therapies is a promising option for patients with liver metastasis. Preclinical studies have demonstrated that combining ICIs with locoregional therapies produces a significantly synergistic anti-tumor effect. However, the current evidence for the efficacy of ICIs combined with locoregional therapies remains insufficient. Therefore, we review the literature on the mechanisms of locoregional therapies in treating liver metastasis and the clinical research progress of their combination with ICIs.

Indexed as

Immune checkpoint inhibitorsImmune microenvironmentLiver metastasesLocoregional therapies

Identifiers

PMID39217341
PMCPMC11365172

What OpenQuestion holds

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Registered trials

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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.