ArticleThoracic cancer2021
Comprehensive expressional analysis of chemosensitivity-related markers in large cell neuroendocrine carcinoma of the lung.
Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Potential of VEGFR2 expression as a predictive marker of PD‑1 blockade in patients with advanced NSCLC.Oncology reports · 2022Article
- Vascular endothelial growth factor receptor 2 expression and immunotherapy efficacy in non-small cell lung cancer.Cancer science · 2022Article
- An Immunity-Related Gene Model Predicts Prognosis in Cholangiocarcinoma.Frontiers in oncology · 2022Article
- Comprehensive expressional analysis of chemosensitivity-related markers in large cell neuroendocrine carcinoma of the lung.Thoracic cancer · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesVarious drug-sensitivity markers have been reported to be associated with tumor progression and chemotherapy resistance. Detailed expression profiles of sensitivity markers for cytotoxic chemotherapy in pulmonary large cell neuroendocrine carcinoma (LCNEC) remain unclear. Herein, we aimed to clarify the correlation between the expression of drug-sensitivity markers and clinicopathological features, prognostic impact, and status of tumor immunity in patients with LCNEC.
methodsWe retrospectively analyzed the correlation between clinicopathological features and the expression of drug-sensitivity-related markers, including vascular endothelial growth factor 2 (VEGFR2), thymidylate synthase (TS), tubulin beta 3 class III (TUBB3), topoisomerase I (Topo-I), and Topo-II in 92 surgically resected LCNEC samples. Furthermore, we examined the prognostic significance of expression of these and their correlation with the immune cell status.
resultsOverall, high expression of TS, TUBB3, VEGFR2, Topo-I, and Topo-II was detected in 50 (54%), 31 (34%), 23 (25%), 65 (71%), and 36 (39%) samples, respectively. Univariate and multivariate analyses revealed that advanced pathological T and N factors, positive lymphatic permeation, and Topo-II expression were independent unfavorable prognosticators for recurrence-free survival, and advanced pathological T and N factors, Topo-II positive expression, and TS positive expression were independent unfavorable prognosticators for overall survival. In terms of correlation with immune cell status, higher expression of VEGFR2 was closely linked to negative PD-L1 expression.
conclusionsThese findings suggest that elevated Topo-II and TS expression may contribute to poor outcomes through protumoral biology in patients with LCNEC, and elevated VEGFR2 expression might negatively impact tumor immune reactions in LCNEC.
Indexed as
Identifiers
What OpenQuestion holds
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.