| Literature DB >> 27777776 |
S Chow1, V Galvis1, M Pillai1, R Leach1, E Keene2, A Spencer-Shaw1, A Shablak1, J Shanks1, T Liptrot1, F Thistlethwaite1, R E Hawkins3.
Abstract
BACKGROUND: VEGF-targeted therapy has become the mainstay of treatment for majority of mRCC patients. For most patients, benefit is short-lived and therefore treatment remains palliative in intent. HD IL2 is an effective immunotherapy treatment capable of durable remission in some patients but its unselected use has been difficult due to its modest response rate and considerable adverse effects. Using set pathology criteria as a selection tool in clinical practice, we have been able to show improved outcomes in our previous report. Here, we present an updated and extended report of this treatment and seek to explore any pathological, clinical and treatment variables likely to predict better outcomes.Entities:
Keywords: Cytokine therapy; High dose interleukin2; Metastatic renal cell carcinoma; Pathology selection criteria
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Substances:
Year: 2016 PMID: 27777776 PMCID: PMC5067981 DOI: 10.1186/s40425-016-0174-5
Source DB: PubMed Journal: J Immunother Cancer ISSN: 2051-1426 Impact factor: 13.751
Clinical selection criteria for treatment of HD IL2
| Clinical Selection criteria: | |
| • Histological diagnosis of clear-cell type metastatic renal cell carcinoma with measurable disease |
Prospective pathology-based selection criteria
| Type | Histological features |
|---|---|
| Favourable | Less than 10 % papillary histology, and at least one favourable feature of: |
| Other | Histology features other than |
Fig. 1Flow diagram showing cohorts of patient population
Patient demographics and baseline clinical characteristics
| Number (%) | |||
|---|---|---|---|
| Pre-selection | Post-selection | Overall | |
| Age (median) | 19–68 (52) | 28–77 (54) | 19–77 (54) |
| Male | 23 (76.7) | 82 (71.3) | 105 (72.4) |
| Nephrectomy | 26 (86.7) | 115 (100) | 141 (97.2) |
| MSKCC risk | |||
| Good | 19 (63.3) | 98 (85.2) | 117 (80.7) |
| Intermediate | 11 (36.7) | 17 (14.8) | 28 (19.3) |
| Poor | 0 | 0 | 0 |
| Heng risk | |||
| Favourable | 7 (23.3) | 60 (52.2) | 67 (46.2) |
| Intermediate | 19 (63.3) | 47 (40.9) | 66 (45.5) |
| Poor | 4 (13.3) | 8 (6.9) | 12 (8.3) |
| Pathology type | |||
| Favourable | 17 (56.7) | 106 (92.2) | 123 (84.8) |
| Other | 13 (43.3) | 9 (7.8) | 22 (15.2) |
| No of met organ(s) | |||
| 1 | 10 (33.3) | 42 (36.5) | 52 (35.9) |
| 2 | 7 (23.3) | 41 (35.7) | 48 (33.1) |
| 3 + | 13 (43.3) | 32 (27.8) | 45 (31.0) |
Fig. 2Kaplan –Meier curve showing overall survival (months) of patients with Favourable pathology
Response analysis based on sub-classification of histological features among clear cell tumours
| Number (%) | “Favourable” | “Other” | |||||
|---|---|---|---|---|---|---|---|
| A | B | C | D | E | F | G | |
| Papillary <10 % | ✔ | ✔ | ✔ | NO | NO | ✔ | NO |
| Alveolar or solid >50 % | ✔ | ✔ | NO | ✔ | NO | NO | NO |
| Granular <50 % | ✔ | NO | ✔ | ✔ | ✔ | NO | NO |
| ORR | 42 (50.6) | 13 (39.4) | 3 (42.9) | 2 (66.7) | 0 (0) | 0 (0) | 1 (10.0) |
| CR | 19 (22.9) | 7 (21.2) | 1 (14.3) | 2 (66.7) | 0 (0) | 0 (0) | 0 (0) |
| PR | 23 (27.8) | 6 (18.2) | 2 (28.6) | 0 (0) | 0 (0) | 0 (0) | 1 (10.0) |
| SD | 25 (30.1) | 8 (24.2) | 2 (28.6) | 1 (33.3) | 2 (66.7) | 2 (40.0) | 6 (60.0) |
| PD | 16 (19.3) | 12 (36.4) | 2 (28.6) | 0 (0) | 1 (33.3) | 3 (60.0) | 3 (30.0) |
Note: One patient with Type II Papillary carcinoma who achieved CR was excluded from this analysis
Fig. 3Forrest plots summarizing multivariate analysis and relationship between analyzed variables and (a) survival and (b) likelihood to response to IL2
Response rate by proportion of papillary and sarcomatoid features
| None | <10 % | 10–30 % | >30 % | |
|---|---|---|---|---|
| Papillary |
|
|
|
|
| ORR | 43 (40.9) | 14 (51.9) | 2 (66.7) | 1 (12.5) |
| CRR | 20 (19.0) | 6 (22.2) | 2 (66.7) | 0 |
| Sarcomatoid |
|
|
|
|
| ORR | 56 (44.8) | 6 (50.0) | 0 | 0 |
| CR | 28 (22.4) | 2 (16.7) | 0 | 0 |
Fig. 4a Plots and curves showing no association between CAIX and any response b survival curve showing significant relationship with increasing CAIX expression
Fig. 5Relationship between cycle 1 dose intensity and survival probability
Fig. 6Bar chart showing distribution of responses according to number of metastatic organ sites