| Literature DB >> 28212560 |
Massimiliano Berretta1, Chiara Della Pepa2, Paolo Tralongo3, Alberto Fulvi4, Ferdinando Martellotta1, Arben Lleshi1, Guglielmo Nasti5, Rossella Fisichella6, Carmela Romano5, Chiara De Divitiis5, Rosaria Taibi1, Francesco Fiorica7, Raffaele Di Francia8,9, Anna Di Mari3, Lino Del Pup10, Anna Crispo11, Paolo De Paoli12, Adriano Santorelli13, Vincenzo Quagliariello5, Rosario Vincenzo Iaffaioli5, Umberto Tirelli1, Gaetano Facchini2.
Abstract
INTRODUCTION: Complementary and Alternative Medicine (CAM) include a wide range of products (herbs, vitamins, minerals, and probiotics) and medical practices, developed outside of the mainstream Western medicine. Patients with cancer are more likely to resort to CAM first or then in their disease history; the potential side effects as well as the costs of such practices are largely underestimated. PATIENTS ANDEntities:
Keywords: alternative medicine; cancer; complementary medicine; survey; treatment
Mesh:
Year: 2017 PMID: 28212560 PMCID: PMC5421857 DOI: 10.18632/oncotarget.14224
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Baseline and demographics
| Baseline and Demographics n=468 | |
|---|---|
| male | 229(48.9) |
| female | 239(51.1) |
| 57 (19-82) | |
| < 40 | 23 (4.9) |
| 40 – 70 | 245 (52.4) |
| > 70 | 200 (42.7) |
| Elementary/middle (< 8 ys) | 178 (38) |
| High/degree (> 8 ys) | 290 (62) |
| Centre/North | 245 (52.4) |
| South/Islands | 223 (47.6) |
| Cancer centre | 325 (69.4) |
| Peripheral hospital/clinic | 143 (30.6) |
| Lung | 222 (47.4) |
| Breast | 78 (16.7) |
| Colorectal | 56 (12) |
| Gastric/Pancreas/HCC/Biliary tract | 23 (4.9) |
| Uro-Gynecology | 26 (5.6) |
| Other | 63(13.5) |
| Early | 100 (21.4) |
| Locally advanced | 114 (24.4) |
| Metastatic | 254 (54.3) |
| AC only | 238 (50.9) |
| Multimodal | 154 (32.9) |
| Surgery only | 25 (5.3) |
| Surgery + AC | 51 (10.9) |
| Never | 314 (67.1) |
| Sometimes | 82 (17.5) |
| Often | 72 (15.4) |
| No | 318 (67.9) |
| Yes | 150 (32.1) |
| 1-2 | 346 (73.9) |
| > 2 | 69 (14.7) |
| 0 | 53 (11.3) |
Legend: ys, years; AC, Chemotherapy; Multimodal: surgery +chemotherapy + hormone therapy/radiation or both; PS, Performance Status.
General feeling about conventional medicine and CAM
| General feeling about Conventional medicine and CAM n=468 | |
|---|---|
| Absent/poor | 47 (10) |
| Good/excellent | 421 (90) |
| Absent/poor | 28 (6) |
| Good/excellent | 440 (94) |
| Yes | 441 (94.2) |
| No | 27 (5.8) |
| Yes | 445 (95) |
| No | 23 (5) |
| To be treated | 236 (50.4) |
| To be cured | 179 (38.2) |
| To achieve disease stabilization | 53 (11.4) |
| Yes | 150 (32) |
| No | 318 (68) |
| Yes | 354 (75.6) |
| No | 114 (24.4) |
| Yes | 129 (27.6) |
| No | 339 (72.4) |
| Media | 169 (47.7) |
| Friends | 68 (19.2) |
| Other | 54 (15.3) |
| Patients | 42 (11.9) |
| Doctors | 21 (5.9) |
| Used to reduce the AC toxicities | 108 (30.5) |
| Supplements | 50 (14.1) |
| Anticancer treatments | 29 (8.2) |
| Used to increase the chances of be cured | 28 (7.9) |
| Overall | 139 (39.3) |
Figure 1Source of knowledge about CAM
Personal experience with CAM, distribution of CAM users
| Personal experience with CAM n=229 | |
|---|---|
| Anticancer treatment | 15 (6.6) |
| Supportive care | 146 (63.8) |
| Other | 68 (29.7) |
| Before the diagnosis of cancer | 18 (7.9) |
| At or after the diagnosis of cancer | 211 (92.1) |
| < 1 year | 192 (83.8) |
| 1 - 2 years | 29 (12.7) |
| > 2 years | 8 (3.5) |
| Herbal preparations | 59 (25.8) |
| Vitamins | 44 (19.2) |
| Supplements | 109 (47.6) |
| Other CAM | 17 (7.4) |
| Auto-prescription | 155 (67.7) |
| Oncologist | 13 (5.7) |
| Other doctor | 13 (5.7) |
| Friend | 42 (18.3) |
| Relative | 6 (2.6) |
| Yes | 32 (14) |
| No | 197 (86) |
| Yes | 79 (34.5) |
| No | 15 (6.6) |
| Unsure | 135 (59) |
| Yes | 8 (3.5) |
| No | 221 (96.5) |
| Disease itself | 179 (78.2) |
| CAM | 2 (0.9) |
| AC | 6 (2.6) |
| Other | 42 (18.3) |
| CAM | 2 (0.9) |
| AC | 47 (20.5) |
| Both | 180 (78.6) |
| Yes | 196 (85.6) |
| No | 33 (14.4) |
| < 100 euros | 78 (34.1) |
| 100 – 300 euros | 144 (62.9) |
| > 300 euros | 7 (3.1) |
| Patient | 226 (98.6) |
| National Healthcare Service | 3 (1.3) |
| Useful as AC treatment | 72 (31.4) |
| Useful as adjuvant treatment | 131 (57.2) |
| Useless | 26 (11.4) |
| Yes | 200 (87.3) |
| NO | 29 (12.7) |
| Yes | 154 (67.2) |
| No | 12 (5.2) |
| I don't know | 63 (27.5) |
CAM use: Association with demographics and disease characteristics
| Variable | CAM use | ||
|---|---|---|---|
| YES n= 229(%) | NO n= 239(%) | ||
| male | 103(45) | 136(56.9) | 0.01 |
| female | 126(55) | 103(43.1) | |
| < 40 | 7(3.1) | 16(6.7) | < 0.0001 |
| 40 – 70 | 97(42.4) | 148(61.9) | |
| > 70 | 125(54.6) | 75(31.4) | |
| Elementary/middle (< 8 ys) | 59(25.8) | 119(49.8) | < 0.0001 |
| High/degree (< 8 ys) | 170(74.2) | 120(50.2) | |
| Centre/North | 173(75.5) | 72(30.1) | < 0.0001 |
| South/Islands | 56(24.5) | 167(69.9) | |
| Often | 25(10.9) | 47(19.7) | < 0.0001 |
| Sometimes | 29(12.7) | 53(22.2) | |
| Never | 175(76.4) | 139(58.2) | |
| Yes | 93(40.6) | 57(23.8) | < 0.0001 |
| No | 136(59.4) | 182(76.2) | |
| Cancer centre | 202(88.2) | 123(51.5) | < 0.0001 |
| Peripheral hospital/clinic | 27(11.8) | 116(48.5) | |
| Breast | 24(10.5) | 54(22.6) | < 0.0001 |
| Lung | 164(71.6) | 58(24.3) | |
| Colorectal | 11(4.8) | 45(18.8) | |
| Gastr/Pancr/HCC/Bil tract | 5(2.2) | 18(7.5) | |
| Uro-Gynecology | 6(2.6) | 20(8.4) | |
| Other | 19(8.3) | 44(18.4) | |
| Early | 29 (12.7) | 71 (29.7) | <0.0001 |
| Locally advanced | 47 (20.5) | 67 (28) | |
| Metastatic | 153 (66.8) | 101 (42.3) | |
| Surgery only | 4(1.7) | 21(8.8) | < 0.0001 |
| AC only | 139(60.7) | 99(41.4) | |
| Surgery +AC | 12(5.2) | 39(16.3) | |
| Multimodal | 74(32.3) | 80(33.5) | |
| 0 | 1(0.4) | 52(21.8) | < 0.0001 |
| 1-2 | 206(90) | 140(58.6) | |
| > 2 | 22(9.6) | 47(19.7) | |
CAM use: Association with awareness about disease and trust in conventional medicine
| Variables | CAM use | ||
|---|---|---|---|
| YES n= 229(%) | NO n= 239(%) | ||
| Absent/poor | 26(11.4) | 21(8.8) | 0.4 |
| Good/excellent | 203(88.6) | 218(91.2) | |
| Absent/poor | 8(3.5) | 2088.4) | 0.026 |
| Good/excellent | 221(96.5) | 219(91.6) | |
| To be treated | 161 (70.3) | 75 (31.4) | <0.0001 |
| To be cured | 43 (18.8) | 136 (56.9) | |
| To achieve disease stabilization | 25 (10.9) | 28 (11.7) | |
| Yes | 218(95.2) | 223(93.3) | 0.4 |
| No | 11(4.8) | 16(6.7) | |
| Yes | 216 (94.3) | 229 (95.8) | 0.4 |
| No | 13 (5.7) | 10 (4.2) | |
| Yes | 44 (19.2) | 60 (25.1) | 0.009 |
| No | 170 (74.2) | 148 (61.9) | |
| Don't know | 15 (6.6) | 31 (13) | |
| Media | 133(58.1) | 36(28.8) | < 0.0001 |
| Doctors | 9(3.9) | 12(9.6) | |
| Patients | 18(7.9) | 24(19.2) | |
| Friends | 45(19.7) | 23(18.4) | |
| Other | 24(10.5) | 30(24) | |
Multivariate analysis: High education and receiving treatment in a specialized cancer center are associated with higher risk of CAM use
| CAM users | ||
|---|---|---|
| OR (95% CI)* | p-value | |
| 0.003 | ||
| Elementary/middle (< 8 ys) | 1.0† | |
| High/degree (< 8 ys) | 1.96 (1.27-3.05) | |
| 0.001 | ||
| Peripheral hospital/clinic | 1.0† | |
| Cancer centre | 2.75 (1.53-4.94) |
*Logistic regression analysis adjusted by terms of gender, age, centre, education when appropriate;† Reference category.
The most common botanicals used in cancer patients and their possible interactions with drugs [39–43]
| Agents | Effect on metabolic pathway | Interaction with anticancer drugs |
|---|---|---|
| Ananas (Bromeline) | CYP2C9 inhibition | Risk of over dosage with paclitaxel |
| Curcuma | CYP1A2, CYP2B6, CYP2C9, CYP2D6 weak inhibition | Risk of over Dosage with Bendamustine, Risk of inefficacy of pro-drugs (Ciclophosphamide, Tamoxifen etc) |
| Cannabinoides | CYP2C9 induction | Risk of over dosage of prodrugs (Ciclophosphamide, Tamoxifen etc) |
| Echinacea | CYP3A4 induction | Improved pharmacokinetic (weak) of Ciclophosphamide dasatinib, docetaxel, erlotinib, imatinib, sorafenib, vinca alkaloides |
| ESSIAC* | CYP3A4 inhibition | Risk of over Dosage with bortezomib, dasatinib, docetaxel, erlotinib, imatinib, sorafenib, vinca alkaloides |
| Green Tea | CYP3A4 inhibition | As for Essiac |
| Gingko Biloba | CYP3A4 CYP2C19, inhibition | As for Essiac |
| Grape Fruit | CYP3A4 inhibition | As for Essiac |
| Licorice | CYP2B6, CYP3A4 weak inhibition | As for Essiac (weak) |
| milk thistle | CYP2C8, CYP2C9 weak inhibition | Risk of over Dosage with ciclophosphamide, paclitaxel |
| St. John's worth (Hypericum) | CYP3A4 induction | Improved pharmacokinetic of Ciclophosphamide dasatinib, docetaxel, erlotinib, imatinib, sorafenib, vinca alkaloides |
Additional Source: http://reference.medscape.com/drug-interactionchecker.
Abbreviations: Cytochrome P450: CYP.
*Essiac: herbal mixture patented as anticancer therapy in the 1920 by Rene Caisse in Canada.