Volume 73, Issue 6 pp. 2617-2618
Correspondence
Free Access

Letter to the Editor: Should Growth Pattern of Hepatocellular Carcinoma Be Constant and Homogenous?

Haofan Wang

Haofan Wang

Department of Interventional Radiology, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

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Yitao Mao

Yitao Mao

Department of Radiology, Xiangya Hospital, Central South University, Changsha, China

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Mingsheng Huang

Mingsheng Huang

Department of Interventional Radiology, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

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First published: 18 November 2020
Potential conflict of interest: Nothing to report.

TO THE EDITOR:

We would like to share some of our views on the growth model of HCC that may differ from the valuable report by Rich and colleagues.(1)

In the report, tumor growth was supposed to conform to an exponential model proposed by Schwartz,(2) which required all generations of tumor cells proliferating at a same rate because
urn:x-wiley:02709139:media:hep31640:hep31640-math-0001
One is that tumors will grow at a constant rate. It has been noted that tumor doubling time would eventually increase.(3) Damping was observed by Schwartz in lesions with cavitation.(2) In addition, in the report by Rich et al., the larger tumor showed slower growth. For HCC, factors including blood supply and liver volume could limit tumor growth rate.(3, 4) Hence, it might be better to adopt models such as the logistic equation:
urn:x-wiley:02709139:media:hep31640:hep31640-math-0002

in which a coefficient of carrying capacity (K) or a damping factor (b) represented the joint effect of all limiting factors.

The other assumption is homogeneity. HCCs are heterogeneous systems.(3, 5) Growth rate of the whole lesion urn:x-wiley:02709139:media:hep31640:hep31640-math-0003 should be an average ( urn:x-wiley:02709139:media:hep31640:hep31640-math-0004) of all subclones ( urn:x-wiley:02709139:media:hep31640:hep31640-math-0005) of tumor cells:
urn:x-wiley:02709139:media:hep31640:hep31640-math-0006
and according to the logistic equation:
urn:x-wiley:02709139:media:hep31640:hep31640-math-0007

Improving basic models is not trivial. Currently, in HCC studies, tumors of various sizes would be grouped together according to staging systems, and size has usually been projected together with other factors onto the time vector to calculate relative risks.(4) However, as described by these models, size is causally related to time. Therefore, to classify tumors into groups of different growth patterns or treatments into different efficacies, it might be better to obtain size data of tumors at different time points, computing the growth coefficient (a), carrying capacity (K), and distribution pattern (P) according to the models, and then calculate the relative coefficients and risks of factors such as alpha-fetoprotein and treatments by projecting them onto this space of tumor characteristics (a, K, and P). To this end, it would be essential that we try to find and validate a best approximate model.

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