Evidence map›Paper›PMID 37335366›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2023

Photodynamic therapy improves the outcome of immune checkpoint inhibitors via remodelling anti-tumour immunity in patients with gastric cancer.

Yang Yu, Bo Xu, Lin Xiang, Tianlong Ding, Na Wang, Rong Yu, Baohong Gu, Lei Gao, Ewetse Paul Maswikiti, Yunpeng Wang and 8 more

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Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

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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

18 authors.

Yang Yu *The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Bo Xu *The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Lin XiangThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Tianlong DingThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Na WangThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Rong YuThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Baohong GuThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Lei GaoThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Ewetse Paul MaswikitiThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Yunpeng WangThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Haiyuan LiThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Yuping BaiThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Peng ZhengThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Chenhui MaThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Bofang WangThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Xueyan WangThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Tao ZhangDepartment of Oncology, The First Hospital of Lanzhou University, Lanzhou, China.
Hao ChenThe Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, China. ery_chenh@lzu.edu.cn.

Funding

Key Project of Science and Technology in Gansu province 19ZD2WA001Key Talents Project of Gansu Province 2019RCXM020Science and Technology Project of Chengguan District of Lanzhou City 2019RCCX0034Science and Technology Project of Chengguan District of Lanzhou City 2020JSCX0073Science and Technology Project of Chengguan District of Lanzhou City 2020SHFZ0039
6 · The paper itself

Abstract

backgroundPhotodynamic therapy (PDT) plays an immunoregulatory role in tumours. Here, we conducted a retrospective patient analysis to evaluate the effectiveness of PDT plus immune checkpoint inhibitors (ICIs) in gastric cancer. Further, we performed a dynamic analysis of gastric cancer patients receiving PDT to clarify its effects on anti-tumour immunity.

methodsForty ICI-treated patients that received PDT or not were retrospectively analysed. Five patients with gastric adenocarcinoma were enrolled for sample collection before and after PDT. Single-cell RNA/T cell receptor (TCR) sequencing, flow cytometry and histological exanimation were used to analyse the collected specimens.

resultsPatients in PDT group had a significantly better OS after ICI treatment than those in No PDT group. Single-cell analysis identified ten cell types in gastric cancer tissues and four sub-populations of T cells. Immune cell infiltration increased in the tumours after PDT and the circular immune cells showed consistent alterations. TCR analysis revealed a specific clonal expansion after PDT in cytotoxic T lymphocytes (CTL), but a constriction in Tregs. The B2M gene is upregulated in tumour cells after PDT and is associated with immune cell infiltration. Several pathways involving the positive regulation of immunity were enriched in tumour cells in the post-PDT group. The interactions following PDT were increased between tumour cells and effector cells but decreased between Tregs and other immune cells. Some co-stimulatory signaling emerged, whereas co-inhibitory signaling disappeared in intercellular communication after PDT.

conclusionsPDT elicits an anti-tumour response through various mechanisms and is promising as an adjuvant to enhance ICI benefit.

Indexed as

PhotochemotherapyStomach NeoplasmsHumansImmune Checkpoint InhibitorsReceptors, Antigen, T-CellRetrospective StudiesImmune Checkpoint InhibitorsReceptors, Antigen, T-CellAnti-tumourGastric cancerImmune cellsPhotodynamic therapySingle-cell analysis

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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.