Overexpression of a splice variant of oncostatin M receptor beta in human esophageal squamous carcinoma
Bibliographic record
Abstract
BACKGROUND: Expression of oncostatin M receptor beta (OSMRβ) has been reported in human cancers, however its role in esophageal squamous cell carcinoma (ESCC) remains unknown. Using differential display, earlier we reported the identification of an alternatively spliced variant of OSMRβ in ESCC. Here in we characterized this novel variant encoding a soluble form of this receptor (sOSMRβ) and determined its clinical significance and correlation with the expression of oncostatin (OSM) and leukemia inhibitory factor receptor beta (LIFR β) in ESCC. MATERIALS AND METHODS: In silico analysis was carried out to characterize the differentially expressed transcript of OSMRβ and its expression was determined in ESCCs and matched normal esophageal tissues using semiquantitative RT-PCR. The expressions of both truncated and full length OSMRβ proteins were analyzed in ESCC tissues and patients' sera using western blotting and immunoprecipitation. By immunoprecipitation we have also shown direct interaction between sOSMRB and OSM. We also explored the relationship between expression of OSM and its receptors, OSMRβ and LIFRβ, in primary human ESCCs and normal epithelia using immunohistochemistry. RESULTS: Overexpression of alternatively spliced OSMR β transcript was detected by RT-PCR in 9 of 11 ESCCs. Analysis of the soluble receptor revealed absence of sOSMRβ protein in esophageal tissues, however, immunoprecipitation and western blot analysis showed its presence in sera of ESCC patients further confirming expression of the alternatively spliced OSMR β in ESCC patients. Immunohistochemical analysis in tissue microarray (TMA) format showed expression of OSMR β, LIFR and OSM in 11/50 (23%), 47/50 (94%) and 47/50 (94%) ESCCs, respectively. Strong correlation was observed between cytoplasmic expression of LIFRβ and OSM in tumor cells (p = 0.000, O.R = 50, 95%CI = 8-31.9), and nuclear expression of LIFRβ and OSM (p = 0.039 OR = 3.1, 95% CI = 1.1-8.2), suggesting that LIFRβ serves as the major receptor in ESCCs. CONCLUSION: An alternatively spliced variant of OSMR transcribing a soluble form of this receptor has been characterized in ESCC. We speculate that the truncated OSMR characterized here in may act as a neutralizing receptor for OSM. Our immunohistochemical study showed that OSMRβ and its pathway is not activated in ESCCs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".