ArticleCancer science2026
A Transcriptomic Analysis of Cancer-Stromal Interactome in Lung Cancer Xenograft Models.
Article in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Prognostic impact of genomically matched therapy for solid cancers using real-world data from a provincial hospital in Japan.International journal of clinical oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer-stromal interactions play important roles in the biology of various cancers, including lung adenocarcinoma. We aimed to comprehensively analyze the lung cancer interactome and identify the key ligand-receptor pairs involved in the aggressiveness of lung adenocarcinoma. Transcriptome data were obtained from xenografts of 11 lung cancer cell lines that represented the major driver mutations in lung adenocarcinomas. A quantitative dataset was constructed in both stroma-to-cancer and cancer-to-stroma directions using the cancer-stromal interactome analysis method. The prognostic value of each factor was evaluated using multiple datasets. Analysis of 24,250 stroma-derived mouse transcripts and 26,289 human cancer-derived transcripts identified 1150 cancer-stromal interactions, from which we selected 117 interactions based on the intensity score of ligand-stromal transcript levels. Further prognostic analysis using public databases led us to identify 21 ligand-receptor pairs, including well-known as well as less well-characterized ligand-receptor pairs. Therefore, we selected tumor necrosis factor superfamily member 12/tumor necrosis factor receptor superfamily member 12A as possible factors contributing to the aggressiveness of lung adenocarcinoma via cancer-stromal interactions; immunohistochemical analysis confirmed that these factors were expressed mainly in the stroma and cancer cells, respectively, in both xenografts and primary lung adenocarcinoma. In human clinical specimens, high tumor necrosis factor receptor superfamily member 12A expression significantly correlated with tumor size, invasive diameter, and stage. Thus, tumor necrosis factor superfamily member 12 and its receptor tumor necrosis factor receptor superfamily member 12A signaling axis may be potential candidates for therapeutic intervention for lung adenocarcinoma.
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.