Key Takeaways
- In a 2018–2022 SEER analysis, the median survival for non-Hodgkin lymphoma patients was 5.1 years (all ages)
- For suspected lymphoma, excisional biopsy is recommended by NCCN guidelines when feasible because it provides the highest diagnostic accuracy
- Lymph node biopsy is recommended for most patients; fine-needle aspiration is generally not sufficient for diagnosis of lymphoma
- In ZUMA-1, 54% of patients had a complete response with axicabtagene ciloleucel
- In JULIET, median duration of response was 11.1 months for tisagenlecleucel-treated patients with DLBCL
- In the TRANSFORM study for follicular lymphoma, mosunetuzumab achieved an overall response rate of 80% and a complete response rate of 60%
- Deauville score uses a 5-point scale (1 to 5) for interpreting FDG-PET in lymphoma
- The National Cancer Institute’s SEER program includes 22 cancer registries
- NCCN publishes evidence-based clinical practice guidelines that include diagnostic and treatment pathways for lymphoma
- The global market size for CAR-T therapies was estimated at $6.1 billion in 2023 and projected to reach $14.8 billion by 2030
- The global oncology therapeutics market was $203.0 billion in 2023 and projected to reach $397.1 billion by 2030 (CAGR 10.0%)
- The global immuno-oncology market was valued at $81.3 billion in 2023 and projected to reach $176.0 billion by 2030 (CAGR 11.4%)
- R-CHOP remains the standard first-line regimen for diffuse large B-cell lymphoma in many guidelines
- Brentuximab vedotin plus AVD is a recommended first-line option for advanced-stage classical Hodgkin lymphoma in NCCN guidelines
- Nivolumab achieved an objective response rate of 87% in CheckMate 205 for relapsed/refractory classical Hodgkin lymphoma
Non-Hodgkin lymphoma outcomes span years, with CAR T therapies showing complete responses in over half of patients.
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Priya Chandrasekaran. (2026, February 13). Lymphoma Cancer Statistics. Gitnux. https://gitnux.org/lymphoma-cancer-statistics
Priya Chandrasekaran. "Lymphoma Cancer Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/lymphoma-cancer-statistics.
Priya Chandrasekaran. 2026. "Lymphoma Cancer Statistics." Gitnux. https://gitnux.org/lymphoma-cancer-statistics.
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