Immunotherapy Success Rates in Cancer Patients
Immunotherapy response rates vary substantially by cancer type and treatment regimen, ranging from approximately 10-60%, with the highest response rates (approximately 40-60%) occurring in patients with metastatic non-small cell lung cancer who have PD-L1 expression ≥50% and receive single-agent or combination immunotherapy, while most other solid tumors demonstrate objective response rates of 20-40% with immune checkpoint inhibitors. 1, 2, 3
Response Rates by Cancer Type and Treatment Setting
Melanoma
- Single-agent anti-PD-1 therapy (pembrolizumab or nivolumab) achieves objective response rates of 40% in previously untreated metastatic melanoma 3
- Combination nivolumab plus ipilimumab produces response rates of 50% in treatment-naïve patients, with complete response rates of 8.9% 3
- Single-agent ipilimumab demonstrates lower response rates of 14%, though approximately 20% of patients achieve long-term survival (5-year overall survival 18%) 2
- Duration of response is substantial, with 76-77% of responses lasting ≥6 months and 55-56% lasting ≥24 months 3
Non-Small Cell Lung Cancer (NSCLC)
- Response rates are highly dependent on PD-L1 expression levels 1
- Patients with PD-L1 ≥50% achieve approximately 40% response rate to single-agent immunotherapy and approximately 60% to chemoimmunotherapy 1
- Only approximately 30% of patients with metastatic NSCLC have PD-L1 levels ≥50%, limiting the population eligible for optimal response 1
- PD-L1 expression is not an ideal biomarker because some patients with low PD-L1 levels respond to immunotherapy while others with high levels do not respond 1
Microsatellite Instability-High (MSI-H) or Mismatch Repair Deficient (dMMR) Cancers
- Overall objective response rate of 33.3% across all MSI-H/dMMR cancers treated with pembrolizumab 4
- Response rates vary significantly by tumor type 4:
- Endometrial cancer: 50%
- Small intestinal cancer: 59%
- Gastric/GE junction cancer: 39%
- Biliary cancer: 41%
- Colorectal cancer: 34%
- Brain cancer: 4%
- Complete response rate of 10.3% across all MSI-H/dMMR cancers 4
- 77% of responses last ≥12 months and 39% last ≥36 months, demonstrating exceptional durability 4
Virus-Associated Cancers
- Nasopharyngeal carcinoma (EBV-driven) demonstrates 20.5-21% objective response rates with anti-PD-1 monotherapy 2
- 1-year overall survival of 59% and median overall survival of 17.4 months in platinum-refractory disease 2
- Response rates are similar in PD-L1-positive and PD-L1-negative patients (27.1% vs 19.1%, P=0.31), suggesting viral antigens override PD-L1 predictive value 2
Advanced Renal Cell Carcinoma
- Response rates vary by treatment regimen and risk stratification 1
- Combination immunotherapy approaches demonstrate improved quality of life compared to VEGF-targeted therapy despite higher toxicity rates 1
Critical Limitations and Context
Overall Response Patterns
- Objective clinical response rates are usually below 10% in early-stage vaccine trials, preventing meaningful correlations with immune parameters 1
- Only a fraction of patients respond to cell or antigen vaccination, adoptive TIL cell transfer, or antibody therapies, and mechanisms responsible remain unclear 1
- Tumor-specific cellular immune responses often do not correlate with clinical cancer regression despite detection of cytotoxic T cells in vitro 1
Predictive Biomarker Challenges
- Tumor mutational burden (TMB) does not reliably predict response in NSCLC, as overall survival improved with nivolumab plus ipilimumab regardless of TMB or PD-L1 levels 1
- TMB does not identify patients who will respond to chemotherapy, limiting its value for assessing combination immunotherapy plus chemotherapy regimens 1
- High TMB levels do not correlate with PD-L1 expression levels in NSCLC patients 1
Survival Outcomes Beyond Response Rates
Melanoma Long-Term Survival
- Median overall survival not reached in the nivolumab plus ipilimumab arm with 48 months follow-up 3
- Median overall survival of 36.9 months with nivolumab monotherapy versus 19.9 months with ipilimumab 3
- Median progression-free survival of 11.5 months with combination therapy versus 6.9 months with nivolumab monotherapy 3
NSCLC Survival by PD-L1 Status
- Survival benefits occur across PD-L1 expression levels, though magnitude varies 1
- Quality of life is superior with immunotherapy compared to traditional chemotherapy despite treatment-related adverse events 1
Special Populations and Resistance
Solid Organ Transplant Recipients
- Tumor response rates of 25-40% depending on cancer histology subtype 1
- Graft rejection occurs in 37-41% of patients, with graft loss in almost 80% of rejection cases and death due to graft rejection in 38-45% 1
- No association between time after transplantation and risk of organ rejection 1
Mechanisms of Treatment Failure
- Primary resistance (failure to respond from the start) and secondary resistance (relapse after initial response) occur through intrinsic cancer cell factors or tumor microenvironment mechanisms 5
- Immune escape mechanisms create immunosuppressive microenvironments that enhance cancer progression 6
Clinical Algorithm for Interpreting Success Rates
When counseling patients about immunotherapy success rates:
Identify cancer type and molecular characteristics (PD-L1 status, MSI-H/dMMR status, TMB, viral association) 1, 2, 4
For NSCLC: Expect 40-60% response rates if PD-L1 ≥50%, but only 30% of patients have this level; lower PD-L1 levels still permit response but at reduced rates 1
For melanoma: Anticipate 40-50% response rates with modern immunotherapy, with combination therapy trending toward higher responses but increased toxicity 3
For MSI-H/dMMR cancers: Expect 33% overall response rate with substantial variation by tumor type (4-59%), but exceptional durability when responses occur 4
For virus-associated cancers: Anticipate 20-21% response rates independent of PD-L1 status 2
Emphasize response durability: When responses occur, 55-77% last ≥24 months across cancer types, representing potential long-term disease control 3, 4
Acknowledge uncertainty: Current biomarkers imperfectly predict individual patient response, and mechanisms of resistance remain incompletely understood 1