| Literature DB >> 31489301 |
Rahul Suhas Kulkarni1, Asha S Anand1, Sonia K Parikh1, Harsha P Panchal1, Apurva A Patel1, Dhruv P Mehta1, Priyanka Patel1.
Abstract
BACKGROUND: Most of the data on neuroendocrine tumors (NETs) are from the Western literature. Indian studies regarding clinicopathological characteristics and treatment outcomes are lacking.Entities:
Keywords: Clinical profile; Indian data; epidemiology; neuroendocrine tumors; pathological features; treatment outcomes
Year: 2019 PMID: 31489301 PMCID: PMC6699228 DOI: 10.4103/sajc.sajc_364_18
Source DB: PubMed Journal: South Asian J Cancer ISSN: 2278-330X
Figure 1Pie chart showing primary site distribution of neuroendocrine tumors (n = 97)
Figure 2Spectrum of symptomatology of neuroendocrine tumors
Treatment modalities offered to patients with neuroendocrine tumors (n=77)
| Treatment modality | Frequency (%) |
|---|---|
| Systemic CT | 31 (40.2) |
| Surgery | 22 (28.6) |
| Observation (watchful waiting) | 12 (15.6) |
| Somatostatin analogs (LAR) | 9 (11.7) |
| CT + LAR | 2 (2.6) |
| PRRT | 1 (1.3) |
| Total | 77 (100) |
CT=Chemotherapy, LAR=Long-acting release, PRRT=Peptide receptor radiotherapy
Figure 3Composite bar diagram showing a response to various systemic treatments
Figure 5Composite bar diagram showing clinical benefit rates of various systemic treatment regimens according to tumor grade
Event-free survival as per the primary treatment modality
| Treatment modality | Months (range) | ||
|---|---|---|---|
| Median follow-up | Median EFS | ||
| Carboplatin + etoposide | 25 | 9.5 (3-18) | 7 (3-12) |
| CAPTEM | 5 | 7.5 (3-12) | 3 (3-8) |
| Doxorubicin | 1 | 10 | 9.5 |
| Octreotide LAR | 9 | 8 (3-24) | 7( 3-24) |
| Chemotherapy + LAR | 2 | 10.5( 9-12) | 8.5 (8-9) |
| Surgery | 22 | 10.75 (3-24) | 10 (2-23) |
| Observation | 12 | 8 (3-24) | 6.75 (3-18) |
| PRRT | 1 | 4 | 3 |
LAR=Long-acting release, PRRT=Peptide receptor radiotherapy, EFS=Event-free survival, CAPTEM=Capecitabine plus temozolomide
Top 5 primary sites of origin in various studies and comparison with our study
| Primary site rank | Our study | Yao JC | Yao JC | Hauso O | Tsai HJ | Abdulfattah MK | Kapoor R |
|---|---|---|---|---|---|---|---|
| 1 | Pancreas (35%) | Lung (30%-32%) | Rectum (41%) | Small intestine (26%) | Rectum (25%) | Pancreas (26.3%) | Pancreas (35.2%) |
| 2 | Unknown primary (19%) | Small intestine (18%-19%) | Lung (15%) | Lung (21%) | Lung (20%) | Pelvis (15.8%) | Periampullary (21.5%) |
| 3 | Small intestine (9%) | Unknown primary (13%) | Pancreas (8%) | Colon (8%) | Stomach (7%) | Lung (13.2%) | Small intestine (13.7%) |
| 4 | Lung (6%) | Rectum (12%) | Small intestine (8%) | Rectum (7%) | Pancreas (6%) | Small intestine (13.2%) | Retroperitoneum (9.8%) |
| 5 | Rectum (5%) | Colon (7%-8%) | Stomach (6%) | Pancreas (7%) | Colon (5%) | Mediastinum (10.5%) | Unknown primary (9.8%) |
Primary site and metastatic potential
| Primary site | Metastatic (%) | Nonmetastatic (%) | |
|---|---|---|---|
| Pancreatic | 34 | 18 (53) | 16 (47) |
| Unknown primary | 18 | 18 (100) | 0 (0) |
| Small intestine | 8 | 6 (75) | 2 (25) |
| Pulmonary | 6 | 3 (50) | 3 (50) |
| Rectum | 5 | 4 (80) | 1 (20) |
| Stomach | 4 | 3 (75) | 1 (25) |
| Esophagus | 4 | 1 (25) | 3 (75) |
| Large intestine | 3 | 3 (100) | 0 (0) |
| Liver | 3 | 1 (33.3) | 2 (66.7) |
| Gallbladder | 3 | 3 (100) | 0 (0) |
| Ovary | 3 | 2 (66.7) | 1 (33.3) |
| Urinary bladder | 2 | 0 (0) | 2 (100) |
| Breast | 2 | 2 (100) | 0 (0) |
| Vagina | 1 | 0 (0) | 1 (100) |
| Maxilla | 1 | 0 (0) | 1 (100) |
| Total | 97 | 64 | 33 |