Evidence map›Paper›PMID 41234849›Full record

ArticleTranslational cancer research2025

CST7

Kaitao Yao, Fan Wu, Daiwei Liu, Boying Zheng, Jing Li, Yang Liu, Li Wang, Liuqing Zheng, Zhanlin Li, Gang Zhou

Abstract read
In one paragraph

Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Kaitao Yao *Department of Hematology and Oncology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.ORCID https://orcid.org/0000-0002-8422-4620
Fan Wu *Department of Thoracic Surgery, Inner Mongolia People's Hospital, People's Hospital of Inner Mongolia University, Hohhot, China.
Daiwei LiuDepartment of Oncology in Traditional Chinese Medicine, The First Affiliated Hospital of Hebei North University, Zhangjiakou, China.
Boying ZhengHangzhou Astrocyte Technology Co., Ltd., Hangzhou, China.
Jing LiOncology Department of Wangjing Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China.
Yang LiuHangzhou Astrocyte Technology Co., Ltd., Hangzhou, China.
Li WangHangzhou Astrocyte Technology Co., Ltd., Hangzhou, China.
Liuqing ZhengHangzhou Astrocyte Technology Co., Ltd., Hangzhou, China.
Zhanlin LiDepartment of Oncology in Traditional Chinese Medicine, The First Affiliated Hospital of Hebei North University, Zhangjiakou, China.
Gang ZhouThe Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced melanoma exhibits high primary resistance to immunotherapy and limited long-term response, suggesting the need for sensitive biomarkers and novel therapeutic targets to enhance treatment efficacy. We aimed to identify prognostic biomarkers and therapeutic targets for melanoma immunotherapy. Methods: Bulk RNA-sequencing data from public melanoma cohorts were analyzed to classify tumor samples into two clusters based on distinct expression patterns of immune-related hallmarks. Differential gene expression and least absolute shrinkage and selection operator (LASSO) Cox regression analysis identified nine core genes, which were integrated into a prognostic risk model. Single-cell RNA-sequencing analysis was then performed to characterize the immune cell heterogeneity and functional interactions in the tumor microenvironment. Results: The single-cell analysis revealed that CST7 (cystatin F)-expressing macrophages/monocytes were enriched in an M1 macrophage signature, indicative of an antitumor phenotype. These immune cells were significantly more frequent in immunotherapy responders than in non-responders. Further investigation identified a signaling interaction between CST7 Conclusions: These findings suggest that CST7

Indexed as

combination therapyCST7Melanomaprognostic model

Identifiers

PMID41234849
PMCPMC12605685

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.