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Why Fish Oil,
DHA and “Oily
Fish” Are
Inflammatory
ABSTRACT
In July 2013, using data and
plasma collected in the
Selenium and Vitamin E Cancer
Prevention Trial (SELECT),
results were shown consistent
with prior results of the
controversial 2011 Prostate
Cancer Prevention Trial.
Importantly, the cancer-
causing effect of fish oil
supplements, and all marine
oils, will physiologically and
biochemically be shown to
possibly be significantly more
harmful than trans fats.
The objective of this paper is to provide
substantial independent scientific
validation to the analysis of the 2013 Select
Trialby Brasky et al. published in Journal of
the National Cancer Institute [1]. Validation
is given of the statistics of the analysis; type
of clinical trial and its use of plasma as a
marker of fatty acid intake is given.
The authors further stated, “It is unclear why
high levels of long-chain ω-3 PUFA would
increase prostate cancer risk, and further
study will be needed to understand the
mechanisms underlying the findings reported
here.” We will fully explain why—based on
established physiology and biochemistry—
long-chain ω-3 PUFA contained in marine
oils/fish oils are expected to increase prostate
cancer and all cancers.
2. Statistical Analysis
2.1. Cox Proportional Hazard Ratio
Result and Meaning
The researchers used Cox proportional hazard models.
It is important to understand the significance of this
fact. This is a “time-to-event” measurement—not
merely an occurrence vs. non-occurrence proportion
such as the simple relative risk (RR) or odds ratio (OR).
The statistic is based on the median (time elapsed until
50% of the cases are “resolved”)
2.2. Studies & Cause/Effect
Relationships Must Be Consistent
with Medical Science
Many physicians incorrectly think the determining
factor of clinical efficacy is the number of “studies”
(often with multiple variables) that “succeed” vs.
the number of “studies” that fail—a preponderance
of successes thereby proving efficacy. This is
categorically wrong.
2.3. Clinical Trials: Prospective and
Retrospective
There are two types of clinical trials, each
requiring a specific interpretation of the results.
The first type is a case-
control/prospective/cohort trial or an
experiment, whereby the investigator decides
how many subjects with and without the disease
will be examined a priori (in advance) of the
study or experiment in a controlled setting.
2.4. Confounding/Outlying Factors
In SELECT, the researchers did an excellent
analysis of possible cofactors/outliers.
Conclusions were unchanged. There were
additional variable factors not individually
subjected to an analysis of variance.
Those factors included: aspirin use, Finasteride
use, smoking, and alcohol consumption.
However, the proportions of each additional
factor were approximately the same in each
leg (cancer/no cancer), demonstrating no bias.
Other possible variables also comprised
approximately the same relative percentages
in both legs. Therefore a disproportional
amount of additional confounding factors
were not an issue in either group.
2.5. Plasma/Red Blood Cell (RBC)
Fatty Acid Measurement
In view of the current emphasis placed on omega-3
series fatty acid metabolites, RBC analysis is now
common today. However, highly accurate 21st century
quantitative analysis of plasma phospholipid analysis is
superior to red blood cell (RBC) analysis [8,9]. There
are strong but limited correlations in plasma and
erythrocyte, e.g., EPA (r = 0.90), DHA (r = 0.76), ALA (r =
0.76), and LA (r = 0.82)
2.6. SELECT Is a Baseline Plasma
Measure Only—However, Plasma
Lipid Analysis Is an Accurate
Time Average
The SELECT plasma lipid measurement was
conducted at baseline only. However, this is not
problematic because recommendations to
consume more fish and more fish oil supplements
existed for over a decade prior.
The baselines, therefore, on average, are
adequately representative (if not a conservative
underestimate over the course of the study). In
view of these consistent medical and nutritional
recommendations to consume more “oily”
fish/fish oil supplements, the measurements
would be expected to be lower at baseline
compared to the amounts consumed in later
years of the study (on average)—not to decrease
over time (on average).
Visit Our Website
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Why Fish Oil, DHA and “Oily Fish” Are Inflammatory

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Why Fish Oil, DHA and “Oily Fish” Are Inflammatory

  • 1. Why Fish Oil, DHA and “Oily Fish” Are Inflammatory
  • 2. ABSTRACT In July 2013, using data and plasma collected in the Selenium and Vitamin E Cancer Prevention Trial (SELECT), results were shown consistent with prior results of the controversial 2011 Prostate Cancer Prevention Trial.
  • 3. Importantly, the cancer- causing effect of fish oil supplements, and all marine oils, will physiologically and biochemically be shown to possibly be significantly more harmful than trans fats.
  • 4. The objective of this paper is to provide substantial independent scientific validation to the analysis of the 2013 Select Trialby Brasky et al. published in Journal of the National Cancer Institute [1]. Validation is given of the statistics of the analysis; type of clinical trial and its use of plasma as a marker of fatty acid intake is given.
  • 5. The authors further stated, “It is unclear why high levels of long-chain ω-3 PUFA would increase prostate cancer risk, and further study will be needed to understand the mechanisms underlying the findings reported here.” We will fully explain why—based on established physiology and biochemistry— long-chain ω-3 PUFA contained in marine oils/fish oils are expected to increase prostate cancer and all cancers.
  • 6. 2. Statistical Analysis 2.1. Cox Proportional Hazard Ratio Result and Meaning The researchers used Cox proportional hazard models. It is important to understand the significance of this fact. This is a “time-to-event” measurement—not merely an occurrence vs. non-occurrence proportion such as the simple relative risk (RR) or odds ratio (OR). The statistic is based on the median (time elapsed until 50% of the cases are “resolved”)
  • 7. 2.2. Studies & Cause/Effect Relationships Must Be Consistent with Medical Science Many physicians incorrectly think the determining factor of clinical efficacy is the number of “studies” (often with multiple variables) that “succeed” vs. the number of “studies” that fail—a preponderance of successes thereby proving efficacy. This is categorically wrong.
  • 8. 2.3. Clinical Trials: Prospective and Retrospective There are two types of clinical trials, each requiring a specific interpretation of the results. The first type is a case- control/prospective/cohort trial or an experiment, whereby the investigator decides how many subjects with and without the disease will be examined a priori (in advance) of the study or experiment in a controlled setting.
  • 9. 2.4. Confounding/Outlying Factors In SELECT, the researchers did an excellent analysis of possible cofactors/outliers. Conclusions were unchanged. There were additional variable factors not individually subjected to an analysis of variance.
  • 10. Those factors included: aspirin use, Finasteride use, smoking, and alcohol consumption. However, the proportions of each additional factor were approximately the same in each leg (cancer/no cancer), demonstrating no bias. Other possible variables also comprised approximately the same relative percentages in both legs. Therefore a disproportional amount of additional confounding factors were not an issue in either group.
  • 11. 2.5. Plasma/Red Blood Cell (RBC) Fatty Acid Measurement In view of the current emphasis placed on omega-3 series fatty acid metabolites, RBC analysis is now common today. However, highly accurate 21st century quantitative analysis of plasma phospholipid analysis is superior to red blood cell (RBC) analysis [8,9]. There are strong but limited correlations in plasma and erythrocyte, e.g., EPA (r = 0.90), DHA (r = 0.76), ALA (r = 0.76), and LA (r = 0.82)
  • 12. 2.6. SELECT Is a Baseline Plasma Measure Only—However, Plasma Lipid Analysis Is an Accurate Time Average The SELECT plasma lipid measurement was conducted at baseline only. However, this is not problematic because recommendations to consume more fish and more fish oil supplements existed for over a decade prior.
  • 13. The baselines, therefore, on average, are adequately representative (if not a conservative underestimate over the course of the study). In view of these consistent medical and nutritional recommendations to consume more “oily” fish/fish oil supplements, the measurements would be expected to be lower at baseline compared to the amounts consumed in later years of the study (on average)—not to decrease over time (on average).