Cell Language Theory, The: Connecting Mind And Matter

Applications of the Cell Language Theory to Biomedical Sciences 307

“6x9” b2861 The Cell Language Theory: Connecting Mind and Matter

(1) Calculate the angle a defined as

a = arctan(∆D/∆T), (7.12)

where ∆D is the change in the RNA levels in the tumor tissue after

drug treatment, i.e.,

∆D = AF – BE (7.13)

and ∆T is the change in the RNA levels induced by tumor, i.e.,

∆T = BE – N. (7.14)

(2) Using the mechanism circle (Figure 7.11), convert the angles a into

their corresponding mechanism numbers based on the rules given in

Table 7.3 to generate the “mechanism table” (Table 7.2).

Table 7.2 The “unfiltered mechanism table”.

ORF

Patient 1 Patient 2 ... Patient N

N BE AF M N BE AF M ... N BE AF M

1 2 1 ... 6

2 3 6 ... 2

3 8 5 ... 7

4 1 4 ... 9

5 4 2 ... 1

... ... ... ... ... ... ... ... ... ... ... ... ... ...

n 8 6 ... 9

imTI 4.5 8.5 5.6

SM 12 80 ... 23

ITI 2.6 5.1 ... 1.2

N = the number of patients; n= the number of ORFs; SM = survival months; imTI = individual micro-

therapeutic index by Eq. (7.15); ITI = individual therapeutic index (see below). N = normal, BE

before drug treatment; AF = after drug treatment; M = mechanism define in Table 7.3 and Figure 7.11.

The numbers in the interior of the table are arbitrary one selected for an illustrative purpose only.

Notes: ORF = Open reading frame; N = Normal tissue; BE = tumor tissue before treating with

anticancer drug; AF = tumor tissue after treating with anticancer drug; M = mechanism number from

the Mechanisms Circle; imTI, ITI = individual micro-therapeutic indexes, before and after filtering,

respectively.

b2861_Ch-07.indd 307 17-10-2017 12:06:31 PM