Cell Language Theory, The: Connecting Mind And Matter

314 The Cell Language Theory: Connecting Mind and Matter

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

There appear to exist common mRNA phenotypes (i.e., mRNA dissi-

patons) that are closely associated with breast cancer. (7.21)

One experimental support for Statement (7.21) is provided by the fact

that any one of the four mechanism phenotypes, i.e., 2, 4, 6, and 8, can be

associated with or “realized by” two or more genes either within a given

patient (see columns in Figure 7.12) or in different patients (see rows in

Figure 7.12). The difference between genes and RNA phenotypes (e.g.,

mechanism phenotypes defined in Figure 7.11) may be compared with the

difference between words and their meanings. The same meaning can be

conveyed by two or more different words. This is equivalent to saying that

two signs can have the same meaning (or interpretant to use the Peircean

idiom; see Section 6.3 and Figure 9.1). The RNA phenotypes (also called

RNA trajectories, RNA expression profiles, RNA dissipative structures, or

RNA dissipatons, mechanism phenotypes) found in individual breast cancer

patients may be referred to as the patient-specific breast cancer-associated

RNA profiles or patient-specific breast cancer-associated RNA dissipatons.

(3) There are no continuous, unbroken vertical strips of either color, red

or green, in Figure 7.12. This observation, when combined with the

ICFI hypothesis described in Section 3.2.1, can lead to the following

conclusion:

There are no breast cancer patients for whom doxorubicin is 100%

beneficial or 100% harmful. (7.22)

In other words,

The therapeutic efficacy of doxorubicin depends on breast cancer patients.

(7.23)

If Statement (7.23) can be generalized, Statement (7.24) would result:

The therapeutic efficacy of anticancer drugs depend on individual

cancer patients. (7.24)

If Statement (7.24) can be substantiated by further studies, it would

provide the empirical basis for advocating the necessity for personalized

medicine (see Figure 7.2c), in contrast to “group” or “average” medicine.

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