Ting-Chao Chou

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Ting-Chao Chou
Born 1938, Hsin-Chu, Taiwan
Fields Theoretical biology, Pharmacology, Cancer Research
Institutions

Yale, Johns Hopkins, Cornell Memorial Sloan-Kettering Cancer Center

Retired, June 1st, 2013
Known for
  • Median-effect Equation, the Unified Theory of the Mass-Action Law
  • Combination Index {CI} defines Synergism (CI<1), Additive Effect (CI=1) and Antagonism (CI>1) with computerized simulations using Compusyn, CalcuSyn
  • Dose Reduction Index (DRI), Normalized Isobologram, and Polygonogram
  • Econo-Green Bio-research and Development
  • Quantitative Bio-Informatics
  • Fludelone, Iso-oxazole-Fludelone, Panaxytriols, Ardeemins
  • Illustration of Ancient Chinese Philosophy with Modern Sciences

Ting-Chao Chou (born 1938 in Taiwan, Chinese name: 周廷潮) is a Chinese American theoretical biologist, pharmacologist, cancer researcher and inventor. His 273 scientific articles have been cited in 15,149 papers in over 545 biomedical journals as of April 2, 2014.[1] He derived the median-effect equation (MEE) from the physico-chemical principle of the mass-action law, and introduced the median-effect plot in 1976.[2] With Paul Talalay of the Johns Hopkins University School of Medicine, he derived the combination index equation (CIE) for multiple drug effect interactions, and introduced the concept of combination index (CI) for quantitative definition of synergism (CI<1), additive effect (CI=1), and antagonism (CI>1) using computerized simulations.[3] One original article in Advances in Enzyme Regulation 22:27-55, 1984 by Chou-Talalay on CI has been cited 2,859 times internationally in a broad spectrum of journals.[1] Integration of MEE and CIE resulted in Econo-Green bioresearch and new drug development.[4] This integrated theory and algorithms allow conducting small number of data points, conservation of laboratory animals and reducing the number of patients in clinical trials. Consequently, this allows saving time and cost and resources as well as increasing efficiency an effectiveness in medical, pharmaceutical research and new drug development.[4] With colleagues, T.C. Chou is inventor/co-inventor of 35 U.S. Patents, mainly for anticancer agents.[5]

Biography[edit]

Born in Chang-Gang Village, Hu-Kao Township, Hsin-chu County, Taiwan on September 9, 1938 (Father, Chao-Yun Chou; Mother, Sheng-Mei Chen).

Ancestry[edit]

His birthplace is Chou family’s ancestral hall with a large insigne on the center “濓溪第:” (The Lianxi Place), “汝南堂” (Rue-nan Tarn), listing the family tree for about 250 years. “Chou (Zhou) Lianxi” is Chou Dunyi’s posthumous name. Chou Dunyi (1017-1073) ( 周敦頤 ) was a Neo-Confucian philosopher and cosmologist of the Northern Song Dynasty. His brief essay On Praising Lotus Flower (愛蓮說) was recited by many hundred millions of school children since it was selected in the standard high school textbook in both mainland China and Taiwan. T.C. Chou is an eighth generation descendant of the Hakka Stream moving from Zhaozhou in Guangdong to Taiwan during the years of Yung-Zhen Emperor of Ching Dynasty in 1750s.

Education[edit]

Under the Japan’s rule of Taiwan 1895-1945, the Chou family established a private family school teaching Chinese characters and classics. His father was the teacher. After his father passed away, the widowed mother sent him to Hsin-Chu Normal School affiliated primary school with three hour round-trip daily commute in the sixth grade. After the Provincial Hsin-Chu High School, he entered Kaohsiung Medical University School of Pharmacy where he graduated summa cum laude. He was accepted by the Pharmacological Institute of National Taiwan University College of Medicine and received the Master Degree under the mentorship of Chen-Yuan Lee, Director of the Institute, and Dean of the Medical School. In 1965, he received the Gibbs Scholarship from Yale University where he devoted to the mathematical aspects of quantitative biology. He received Ph.D. degree with high honors under the mentorship of Professor Robert E. Hanschumacher. He did postdoctoral fellowship at the Johns Hopkins University School of Medicine under Chairman of the Pharmacology Department, Paul Talalay, for two years, 1970-1972. In 1972 he joined Laboratory of Pharmacology at Memorial Sloan-Kettering Cancer Center (MSKCC) in New York City as an Assistant Professor, affiliated to Cornell University Graduate School of Medical Sciences. He became a Member and Professor in 1988. After 40 years of service at MSKCC, he retired on June 1, 2013 from the Directorship of Preclinical Pharmacology Core Laboratory, Molecular Pharmacology & Chemistry Program of MSKCC.

Publication and Citation Metrics[edit]

T.C. Chou’s 273 publications are listed in Thomson Reuters Web of Science (www.researcherid.com/rid/B-4111-2009), second citation numbers, trends, along with the top 20 citing scientists,institutions, and collaboration scientists, institutions, research fields and global distribution maps, as well as total citations each year in the past 20 years).

Peer Reviewed Articles[edit]

The 273 peer reviewed articles have been cited 15,149 scientific papers published in over 545 bio-medical journals as of April 2, 2014.[1] These include original articles, reviews, perspectives, commentaries and editorials.

Other publications[edit]

These include books, book chapters, encyclopedia and handbook chapters, meeting abstracts, computer software, and patents. These publications are not included in the Thomson Reuters Web of Science.[1] Also published are 7 reviews, 10 perspectives, 5 commentaries, 2 editorials, 15 book chapters, 4 encyclopedia and handbook chapter, 4 sets of computer software, 218 international continence/symposium abstracts, and inventor/ co-inventor of 35 US patents.

Theory, Algorithm and Definition[edit]

The Median-Effect Equation[edit]

The median-effect equation(MEE) of the mass-action law was delivered by Chou in 1974 through the derivation of over 300 rate equations of enzyme dynamics, followed by mathematical induction and deduction The ratio of the fraction affected (fa) vs the fraction unaffected (fu) is equal to the dose (D) vs the median-effect dose (Dm) to the mth power, where Dm signifies potency and m signifies the sigmodicity (shape) of the dose-effect curve.[2] This median-effect equation, i.e. (fa)/(fu)=[(D)/(Dm)]m where fa + fu = 1, is the unified form for the Michaelis-Menten equation for enzyme substrate saturation, the Hill equation for ligand occupancy at high order, the Henderson-Hasselbalch equation for pH ionization, and the Scatchard equation for the receptor binding. Thus, the half-affected (Dm) is equivalent to half-saturated (Km), the half-occupied (K), half-ionized (pK) and half-bound and half-free (Kd). MEE is the simplest possible form for all the above equations in biochemistry and biophysics. The “median” is the common-link for single and multiple ligand interactions, and the universal reference point for the first-order and higher order dynamics.[3]

The Median-Effect Plot[edit]

Also introduced by Chou in 1976 was the median-effect plot which is a plot of log (D) vs log [(fa)/(1-fa)] or log [(fa)/(fu)] yields a straight line with slope (m) and the x-intercept of log (Dm), where Dm equals to the anti-log of the x-intercept. This unique theory holds true for all dose-effect curves that follows the physico-chemical principle of the mass-action law, for all entities regardless of the first-order or higher-order dynamics, and regardless of unit or mechanism of actions.[3] MEE is derived by system analysis using enzyme kinetics and mathematical inductions and deductions where hundreds of mechanism specific individual equations are reduced to a single general equation. [3] Both left and right sides of the MEE are dimensionless quantities. When the m and Dm are determined, the full dose-effect curve is defined. Since the median-effect plot yields straight lines, the theoretical minimum of only two data points allow the drawing of the full dose-effect curve, when the effect is accurately determined. This fundamental revelation defies the common held belief that two data points cannot draw a defined does-effect curve.

The Combination Index Theorem[edit]

The combination index (CI) concept was introduced by Chou T.C. and Talalay P. during 1983-84[3] The derived combination index equation for two drugs is:

CI=\frac{(D)_1}{(D_x)_1}+\frac{(D)_2}{(D_x)_2}=\frac{(D)_1}{(D_m)_1[f_a/(1-f_a)]^{1/m_1} }+\frac{(D)_2}{(D_m)_2[f_a/(1-f_a)]^{1/m_2} }

Where (Dx)1 is for (D)1 “alone” that inhibits a system x%, and (Dx)2 is for (D)2 “alone” that inhibits a system x% whereas in the numerator, (D)1 + (D)2, “in combination” also inhibit x%. Note that the denominators of the last two terms are the expression of MEE. The CI Value quantitatively defines synergism (CI<1), additive effect (CI=1) and antagonism (CI>1).

The Combination Index Plot[edit]

Based on the above MEE and CI algorithms, a plot of CI values at different effect levels (fa’s) can be determined by computer simulation (e.g. CompuSyn or CalcuSyn software, www. Combosyn.com, free download). Entering a series of "dose (D) and effect (fa)" into computer for each drug alone and their combinations, the software will automatically simulate the CI values at different fa levels in seconds, based on the CI algorithm. This plot is also called the Fa-CI plot or the Chou-Talalay plot.[6] Depending on the experimental design, the combination mixtures can be at constant ratio or at non-constant ratios. The CI equations for three or more drug combinations have also been derived[3] and can be subjected to computer simulation.[6]

The CI theorem is developed for drugs (or effectors) regardless of mechanism of actions, and regardless of dynamic orders and or the units of each drug in the combination.[3] The method has been applied in the combination of anti-cancer drugs, anti-HIV agents, drug-radiation, and traditional Chinese herbal medicines.[1]

The Isobolograms[edit]

The idea of isobologram, i.e. the equi-effective curve at various concentrations or doses of two drugs, has been around for a century. However, only until 1984 the formal derivation of its equation in the general form was introduced by Chou and Talalay. The isobol equation is just a special case of the CI equation.[3] Thus automated computerized construction of either the classic isobologram (at constant ratio combinations) or the normalized isobologram (at non-constant ratio combination) can be performed in seconds using CompuSyn software.[6] In addition, the isobol method is now amendable for three or more drug combinations. Both Fa-CI plot and isobologram yield identical conclusion of synergism or antagonism. The Fa-CI plot is effect-oriented whereas isobol is dose-oriented. Both graphics can be considered two-sides of the same coin. However, Fa-CI plot is visually more convenient to use than isobologram since data point over crowding in isobologram at various effect levels can be avoided.

The Dose-Reduction Index (DRI)[edit]

The DRI is a measure of how many folds the dose of each drug in a synergistic combination may be reduced, at a given effect level, compared with the doses of each drug alone.[3] The inverted terms in the CI equation, are the DRIs for the corresponding individual drugs in the combination. The reduced dose which will reduce toxicity at the increased effect would lead to beneficial clinical consequences. The algorithm and computerized simulation of the DRI plot at different effect levels (i.e. the Fa-DRI plot or Chou-Martin plot) has been available using the CompuSyn software.[6] DRI=1 indicates no dose reduction, whereas DRI>1 and <1 indicate favorable and unfavorable dose-reduction, respectively.

The Polygonogram[edit]

Taking the advantage of facile CI determination, a new simple graphic representation of three or more drug combinations has been introduced by T.C. Chou and J. Chou in 1998.[3] This method allows visual inspection of two-to-n drug combinations in the same circular frame which can be used to project the plausible semi-quantitative projection of what would happen at the higher numbers of drug combinations, form the low numbers of drug combinations. Using heavy solid lines representing strong synergism and heavy broken lines representing strong antagonism, and thinner solid or broken lines for weaker interactions, a grading system can be established. It is easy to obtain the overall perspectives for planning the cocktail design of multiple drug combinations. The polygonogram graphics for five anticancer drugs with different mechanism of actions has been featured on the front-cover of May 2011 issue of Integrative Biology,[3] published by the Royal Society of Chemistry, Cambridge UK (see the External Link).

Applications of the Theory[edit]

With the median-effect equation as the unified theory of the mass-action law and its combination index theorem for multiple effector interactions, these algorithms can be applied to virtually all aspects of quantitative biology and medical sciences as shown in over 540 different bio-medical journals.[1] The conventional approach of dose-effect analysis in the past centuries has used numerous numbers of data points to draw the empirical dose-effect curve to best fit the available data by least square regression or other statistical means. This old approach is under the premises of assuming dose and effect relationships are random events. By contrast, the MEE theory is to use small number (usually 3-7) of data points to fit the mass-action law to yield its parameters (i.e. m, Dm and r), and to lineage all dose-effect curves with the automated median-effect plot. This lead to "the theory of minimum of two data points" for easily defining the dose-effect curve with the m and Dm parameters.

Econo-Green Bio-Research[edit]

Two Data Points Theory[edit]

The revelation that all mass-action law based dose-effect curves can be transformed into straight lines with the median-effect plot leads to the theory that the theoretical minimum of two data points are required to define the entire dose-effect curve. In conjunction with the median-effect principle of the mass-action law, the referred “two data” points actually has the third data point at dose zero. In addition, the median-effect dose (Dm) is the fourth point which serves as the universal reference point and the common link to all dynamic orders. T.C. Chou has not contemplated to use only two data points for experimentation due to the fact that it requires highly accurate measurement and low variability for the high r values.[3] However, this mass-action theory leads to a green revolution in bio-medical research[4] and effective and efficient drug development[5], as manifested in Chou’s laboratory.

Other Utilities[edit]

The major applications of the drug combinations are against the most dreadful diseases such as cancer and AIDS as indicated in the citation metrics[1] Broad application includes drug-radiation combination, combination of insecticides and combinations of different modalities of effectors at different combination ratios, schedules and regimens. For single entity or drug, it calculate mass-action law parameters such as Dm values (IC50, ED50, LD50, ICx, EDx and LDx, etc.), m values (shape of dose-effect curves and dynamic orders) with computerized automation.[6]

Other applications include: (i) Low-dose risk assessment of carcinogens, toxic substances and radiation, singly or in combination for environmental protection; (ii) Agricultural utilization of insecticides, and interaction of environmental factors; (iii) Topological analysis of receptor binding site for exclusivity and competitiveness; (iv) Calculation of Ki from IC50; (v) conservation of laboratory animals in research; and (vi) Efficient design of drug combination clinical trials using small number of patients, and thereby reducing time and cost.[3,6]

Illustration of Ancient Philosophy[edit]

The algorithms of the median-effect equation and the combination index theorem of the physico-chemical principle of the mass-action law and their computer simulation offer the new interpretation/illustration of the ancient Chinese philosophy.[7] This revelation of correspondence and complementarity have been presented or published at the following major national or international philosophical congress, conference, forum, or symposium: (i) American Philosophical Association East Annual Meeting, Baltimore, MD 12/28/2007; (ii) World Congress of Philosophy, Seoul, Korea 8/3/2008; (iii) Peking University School of Life Science and Department of Philosophy, Beijing, China 10/24/2008; (iv) 16th International Conference of Chinese Philosophy sponsored by International Society of Chinese Philosophy, Taipei, Taiwan 7/8-15/2009; (v) 13th Yijing World Congress, Wuxi, China 6/14/2010; (vi) 7th International Forum on the Development of Traditional Chinese Medicine, Tianjin, China 9/21-23/2011; (vii) Bio-IT World Europe Bio Informatics 2011, Hanover, Germany 10/11-13/2011.

• Confucian Doctrine of the Mean (i-iii, vii): Median is the universal link

• Harmony and Daoism (v, vi, vii): Harmony is pure non-competitiveness

• Wuji er Taiji and Wu-Hsin (i, ii, v, vi): Material dynamics and equilibrium

• Fu Xi Ba Gua (ii, iii, v): Entity, time, space, vector, order and dynamics

Patents[edit]

U.S. Patents: Collaboration of pharmacologists with organic chemists and the employment of the mass-action law principle resulted in 35 U.S. patents, of which one is for the solo inventor. These are accomplished with small number of personnel and limited financial support. Some invented compounds have been in clinical trials in cancer patients.[3-5]

International Patents

Some patents with promising utilities are selected for international patent applications.[1,5] These include synthetic microtubule targeting epothilone compounds against solid tumors and leukemias, such as Fludelone and Iso-Oxazole-Fludelone; Immunosuppressants for organ transplantation, such as Ardeemins and Ningalins; and synthetic cyto-protective Panaxytriols (inspired by Chinese/Korea ginseng) for reducing chemotherapy-induced toxicities such as body weight loss, peripheral neuropathy, alopecia, and death, and alleviation of radiation-induced toxicities.[3,5]

Publications[edit]

1. The 273 Articles

2. Topics Listing

3. The Unified Theory

4. Econo-Green Bio-Research

5. The 35 U.S. Patents

6. Computer Software

7. Philosophy

External links[edit]