Evidence map›Paper›PMID 39552849›Full record

ArticleJournal of thoracic disease2024

Safety and feasibility of neoadjuvant chemoradiotherapy combined with immunotherapy for locally advanced esophageal squamous cell carcinoma: a prospective single-group phase II clinical study.

Lei Cheng, Xinyi Wang, Haixia Shen, Jin Wang, Yang Yang, Wei Wu, Rashid Mehmood, Dijian Shen, Youhua Jiang, Yongling Ji

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

10 authors.

Lei Cheng *Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.ORCID https://orcid.org/0000-0002-8660-9671
Xinyi Wang *Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Haixia ShenDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Jin WangDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Yang YangDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Wei WuDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Rashid MehmoodSchool of Chemical Engineering, Faculty of Engineering, UNSW Sydney, Sydney, NSW, Australia.
Dijian ShenDepartment of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Youhua JiangDepartment of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Yongling JiDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neoadjuvant chemoradiotherapy (nCRT) combined with surgery is still the standard treatment mode for esophageal cancer (EC), but the rate of distant metastasis and local recurrence of this triple mode is still high. Distant metastasis is the main recurrence pattern. Therefore, there is an urgent need to explore a new treatment model to improve pathologic complete response (pCR) and patient survival. In recognition of the rise of immunotherapy, this study aimed to investigate the efficacy and safety of nCRT combined with immunotherapy (nRCIT) in patients with esophageal squamous cell carcinoma (ESCC). Methods: A total of 22 patients with locally advanced ESCC were enrolled at our institution between 2019 and 2021. The patients underwent nRCIT therapy. The primary endpoint was pCR; secondary endpoints included major pathologic response (MPR), 1- and 2-year overall survival (OS) and disease-free survival (DFS), and adverse events (AEs). Meanwhile, we enrolled 53 patients with ESCC who underwent nCRT at our institution as the control group between 2012 and 2019. A 1:1 propensity score matching (PSM) with a caliper 0.374 was performed to balance potential bias. Results: In present work, 17 patients successfully completed nRCIT and esophagectomy, among whom 16 patients achieved R0 resection. After PSM, age, sex, tumor location, length, alcohol history, body mass index (BMI), clinical T stage, lymph node staging, tumor-node-metastasis (TNM) staging, and cycles of chemotherapy were comparable between groups. After the operation, 7 patients (41.2%) achieved pCR in both primary tumors and lymph nodes. Anastomotic leakage occurred in 3 patients (17.6%) and 1 patient succumbed to pneumonia during the perioperative period. Leukopenia was observed in 20 patients (90.9%) during neoadjuvant therapy, with grade 3 or higher AEs. The 1- and 2-year OS rates are 88.2% and 65.0%, respectively, in the nRCIT group, whereas 34.1% of patients achieved pCR, with 1- and 2-year OS rates of 82.3% and 68.6%, respectively, in the nCRT group. A significant MPR was observed in 10 out of 17 patients (58.8%) in the nRCIT group. Conclusions: nRCIT may appear to be safe and feasible for locally advanced ESCC.

Indexed as

Esophageal squamous cell carcinoma (ESCC)immunotherapyneoadjuvant chemoradiotherapy (nCRT)propensity score matching (PSM)

Identifiers

PMID39552849
PMCPMC11565305

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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.