Evidence map›Paper›PMID 32601799›Full record

ArticleCancer immunology, immunotherapy : CII2020

Histopathological growth patterns correlate with the immunoscore in colorectal cancer liver metastasis patients after hepatectomy.

Jie-Ying Liang, Shao-Yan Xi, Qiong Shao, Yun-Fei Yuan, Bin-Kui Li, Yun Zheng, De-Shen Wang, Xiao-Jun Wu, Pei-Rong Ding, Gong Chen and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07564908 (Correlation and Heterogeneity of the Immune Microenvironment and Histopathological Growth Patterns in Resectable Colorectal Cancer Liver Metastases), which is not on this 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
–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.

NCT07564908 active not recruitingnot on this map

Correlation and Heterogeneity of the Immune Microenvironment and Histopathological Growth Patterns in Resectable Colorectal Cancer Liver Metastases

TypeobservationalSponsorMeng QiuRan2018 to 2030Enrolled64ConditionsColorectal NeoplasmsArmsFormalin-fixed, paraffin-embedded (FFPE) sections of colorectal cancer liver metastases were stained with hematoxylin and eosin (H&E) and Multiplex immunohistochemistry (mIHC) staining.
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  7. Mechanisms of metastatic colorectal cancer.Nature reviews. Gastroenterology & hepatology · 2024
    Review
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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

16 authors.

Jie-Ying LiangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Shao-Yan XiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Qiong ShaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Yun-Fei YuanState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Bin-Kui LiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Yun ZhengState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
De-Shen WangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Xiao-Jun WuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Pei-Rong DingState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Gong ChenState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Li-Ren LiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Feng-Hua WangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Zhi-Qiang WangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Zhi-Zhong PanState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
Rui-Hua XuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China. xurh@sysucc.org.cn.
Yu-Hong LiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China. liyh@sysucc.org.cn.ORCID http://orcid.org/0000-0002-5710-9096

Funding

Science and Technology Foundation of Guangzhou City 201704020121
6 · The paper itself

Abstract

Various scoring systems have been proposed to predict the postoperative prognosis of colorectal liver metastasis (CRLM), including the clinical risk score (CRS), the immunoscore and so on. Recently, histopathological growth patterns (HGPs) have been recognized. However, the correlation between HGPs and the immunoscore, and their prognostic values in patients with CRLM after liver resection remain undetermined. In this study, HGPs were retrospectively evaluated in H&E-stained slides from 166 CRLM patients. The immunoscore was calculated according to the densities of immunostained CD3 + and CD8 + cells. A risk score combining HGPs, the immunoscore and the CRS was defined and divided patients into the low-, medium- and high-risk group. Our results showed that the densities of CD3 + and CD8 + cells were higher in the desmoplastic HGP (dHGP) group than in the non-dHGP group, and the proportion of high immunoscores was also higher in the dHGP group (51.9% vs. 33.0%, respectively, P = 0.020). Patients with the dHGP had significantly longer relapse-free survival (RFS) and overall survival (OS) than those with the non-HGP. The low-risk group showed significantly higher 2-year RFS and 5-year OS rates than the other two groups (RFS: 76.2%, 43.7% and 33.1%, respectively; P < 0.001; OS: 89.7%, 54.4% and 33.3%, respectively; P < 0.001). In conclusion, the dHGP correlates with relatively high immunoscores, predicting a favorable prognosis independent of the immunoscore and CRS. A novel risk score combining HGPs, the immunoscore and the CRS may be used for the stratification of CRLM patients' survival.

Indexed as

HepatectomyAdultAgedCD8-Positive T-LymphocytesColorectal NeoplasmsDisease-Free SurvivalFeasibility StudiesFemaleFollow-Up StudiesHumansLiverLiver NeoplasmsLymphocytes, Tumor-InfiltratingMaleMiddle AgedNeoplasm Recurrence, LocalColorectal cancer liver metastasisHistopathological growth patternsImmunoscore

Identifiers

PMID32601799
PMCPMC11027459

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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.