ReviewEsophagus : official journal of the Japan Esophageal Society2025
Exploring novel immunotherapy in advanced esophageal squamous cell carcinoma: Is targeting TIGIT an answer?
Review in Esophagus : official journal of the Japan Esophageal Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Development of a prognostic prediction model incorporatingJournal of gastrointestinal oncology · 2026Article
- A migration/invasion-related prognostic signature identifies and functionally validates SLC25A5 as a hub associated with spliceosome programs and invasive phenotypes in esophageal squamous cell carcinoma.Functional & integrative genomics · 2026Article
- Esophageal cancer: from pathogenesis to precision therapies.Signal transduction and targeted therapy · 2026Review
- The multidimensional regulatory network of the PD‑1/PD‑L1 axis in the esophageal squamous cell carcinoma microenvironment: Implications for novel combination therapies and precision immunotherapy (Review).Oncology reports · 2026Review
- Editorial for "a predictive model for irAEs in ESCC patients treated with PD-1 inhibitors based on blood indicators".Future science OA · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Esophageal squamous cell carcinoma (ESCC) is a prevalent and highly lethal malignancy in Asia. Recent advancements in immune checkpoint inhibitors (ICIs) have markedly transformed the systemic therapy landscape for ESCC. Anti-PD-1-based combination with chemotherapy or with ipilimumab, an anti-CTLA-4 antibody, have been established as the new standard first-line treatments for patients with advanced ESCC. Moreover, anti-PD-1 monotherapy has demonstrated improved efficacy and survival compared with second-line chemotherapy in previously treated patients with ESCC. Novel ICIs targeting other immune checkpoints also show potential for enhancing anticancer therapy in advanced ESCC.The TIGIT/PVR pathway represents a new immune checkpoint. Preclinical studies have indicated that the dual blockade of TIGIT and PD-1 can enhance antitumor immune responses. Clinical trials have reported that combining anti-TIGIT with anti-PD-1/PD-L1 antibodies elicited clinical responses in patients with advanced ESCC. In the first-line systemic therapy setting, combinations of dual ICIs targeting TIGIT and PD-1/PD-L1 plus platinum-based chemotherapy have demonstrated acceptable toxicity profiles and promising antitumor activity in several phase II trials and one phase III study. However, the role of adding an anti-TIGIT antibody to the current standard of anti-PD-1/PD-L1 plus platinum-based chemotherapy in first-line therapy for advanced ESCC remains to be fully determined, necessitating further clinical trials. Ongoing studies are also investigating the role of anti-TIGIT, with or without anti-PD-1/PD-L1, in locoregional ESCC. Additional research is essential to optimize the potential of anti-TIGIT therapy in ESCC and other malignancies by identifying predictive biomarkers, determining optimal antibody types, and gaining key mechanistic insights.
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.