Evidence map›Paper›PMID 36951584›Full record

ArticleCancer medicine2023

Prognostic value of esophageal cancer immune prognostic index in advanced esophageal squamous cell carcinoma patients with anti-programmed cell death-1 therapy.

Jiangyue Lu, Lehui Du, Xiao Lei, Zhibo Zhang

Abstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiangyue LuDepartment of Radiation Oncology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Lehui DuDepartment of Radiation Oncology, Chinese PLA General Hospital, Beijing, China.
Xiao LeiDepartment of Radiation Oncology, Chinese PLA General Hospital, Beijing, China.ORCID 0000-0002-0428-1749
Zhibo ZhangThe 78th Group Army Hospital of Chinese PLA, Mudanjiang, China.ORCID 0000-0001-8534-7190

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to determine whether the immune prognostic index (ECIPI), based on hemoglobin (Hb) and neutrophil-to-lymphocyte ratio (NLR), could predict the prognosis in patients with advanced esophageal squamous cell carcinoma (ESCC) receiving programmed cell death-1 (PD-1) inhibitor treatment.

methodsAdvanced ESCC patients who had been treated with PD-1 inhibitors from Jan 2016 to Oct 2021 were included. Kaplan-Meier method and Cox proportional hazards regression were used to analyze progression-free survival (PFS) and overall survival (OS). The overall response rate (ORR) was the percentage of complete and partial responses. Univariate and multivariate analyses were used for estimating hazard ratio (HR) and 95% confidence interval (CI). Patients were grouped by ECIPI (good: Hb > 105 g/L and NLR ≤ 4.3; intermediate: Hb ≤ 105 g/L and NLR ≤ 4.3, or Hb > 105 g/L and NLR < 4.3; poor: Hb ≤ 105 g/L and NLR > 4.3). Variables for the multivariate model were selected if the p-value was below 0.05 in the univariate analysis. All statistical comparisons were two-way, and a p-value below 0.05 was set as statistical significance.

resultsTotally, of 123 ESCC patients with stage III or IV were included in the study. Efficacy evaluation showed that patients with pretreatment ECIPI good had the best ORR compared with those with ECIPI intermediate and ECIPI poor (53% vs. 22% vs. 8%, p < 0.01). Multivariate analysis showed that ECIPI was an independent influential factor for PFS (p = 0.004) and OS (p < 0.001). Kaplan-Meier curves demonstrated that patients with ECIPI good had the longest PFS (median: 11.6 vs. 3.5 vs. 1.7 months, p < 0.0001) and OS (median: 23.6 vs. 16.7 vs. 4.0 months, p < 0.0001) compared with those with ECIPI intermediate and ECIPI poor. Subgroup analysis indicated that ECIPI good was associated with improved PFS and OS in patients with ECOG 0-1, PD-1 inhibitor plus chemotherapy, first-line treatment, and smoke (all p < 0.05).

conclusionsPretreatment ECIPI was associated with the prognosis in advanced ESCC patients with anti-PD-1 therapy, suggesting that ECIPI may be a useful tool to identify patients likely sensitive to PD-1 inhibitors.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaCell DeathHemoglobinsHumansImmune Checkpoint InhibitorsPrognosisHemoglobinsImmune Checkpoint Inhibitorsefficacyesophageal cancer immune prognostic indexesophageal squamous cell carcinomaprognosisprogrammed cell death-1 inhibitor

Identifiers

PMID36951584
PMCPMC10242341

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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.