|
Mathias M.
M�ller, Marietta Vogl
Mathias M. M�ller
Institute of Laboratory Diagnostics
Kaiser Franz Joseph Hospital
Kundratstrasse 3
A-1100 Vienna - Austria
Download as a
PDF here
7.1 Introduction
Tumour markers are substances associated with malignancy that
can be measured in body fluids or tissues. They may reflect both
the tumour burden and tumour biology. Tumour markers are molecules
produced by cancer cells or are metabolic and immunologic products
of healthy tissues, produced in response to the presence of cancer.
Their concentration results from marker expression, synthesis,
release, catabolism and blood-supply of the tumour. They can be
identified in intact cells by immunohistopathology, flow cytometry,
cancer genetics and molecular biology or they can be released into
the circulation and measured with immunochemical techniques.
Tumour markers have a long history. In 1846, the first tumour
marker was identified. It is the Bence-Jones protein, which is an
immunoglobuline light chain produced in excess by about half of the
patients with multiple myeloma. Since its identification, the hunt
for the ideal tumour marker is going on. A high amount of different
molecules and analysis linked with events associated with cancer
emerged in the last decades: enzymes, isoenzymes, glycoproteins,
glycolipids, amino acids, metabolites, hormones, differentiation
antigens, oncofetal antigens, cytokeratins, transmembrane and
nuclear receptors, adhesion molecules, cytokines, oncogenes, tumour
suppressor genes, angiogenesis and metastasis factors as well as
the analysis of markers of cell kinetics and DNA ploidy. The
increasing understanding of the normal biological growth processes
and their control mechanisms such as the cell cycle, angiogenesis
and apoptosis, as well as the investigations of the mechanisms of
tumour progression, invasiveness and metastasis will enlarge
considerably the variety of markers and techniques used in this
field.
According to European and national statistics app. 25 % of the
mortality rates is due to cancer and malignancies. In females
breast cancer is the most frequent, followed by colon carcinoma. In
men cancer of the prostate is the most frequent, followed again by
colon carcinoma. The incidence for the different kinds of cancer is
very similar in women and men. Just the incidence for the cancer of
the lung differs: 6.7 % in women and 15.4 % in men.
Table 1. History of tumour markers
| Year |
Author |
Marker |
Carcinoma |
| 1846 |
H. Bence-Jones |
BJ Protein |
Multiple myeloma |
| 1930 |
B. Zondek |
hCG |
Chorion carcinoma |
| 1932 |
H. Cushing |
ACTH |
Lung, small cells |
| 1959 |
C. Markert |
AP,CK- isoenzymes |
Ovaria, lung, colon |
| 1963 |
G. I. Abelev |
AFP |
Hepatoma, testis |
| 1965 |
P. Gold, S. Freeman |
CEA |
Colorectal |
| 1969 |
R. Heubner |
Oncogenes |
Blood malignomes |
| 1975 |
H. Kohler |
Monoclonal Antibodies |
Blood malignomes |
| 1985 |
H. Harris |
Suppressor Genes |
Colon, breast |
According to the structure and origin different types of tumour
markers exist. Enzymes, hormones, oncofoetal antigens,
glycoproteins, sialylated blood group antigens, proteins, oncogenes
and suppressor genes.
7.2 Criteria for
clinical usefulness
7.2.1 Selection criteria for tumour markers
There are two main points to be considered when measurements of
tumour markers are performed:
- selection of the most appropriate marker
- time point of blood sampling
Based on clinical studies and on the collaboration between
laboratorians and clinicians a kind of accepted list (Table 2) of
markers to be used for management of cancer patients has been
established. Most of these markers are useful for monitor the
effect of therapy and for the detection of recurrence.
Table 2. Markers for different kind of cancers
| Carcinoma/Malignoma |
Marker of 1st Choice |
| Gastrointestinal |
CEA, CA 19-9 |
| Pancreas |
CA 19-9 |
| Liver |
CA 19-9, AFP |
| Lung small cells |
Cyfra, SCC
NSE |
| Breast |
CA 15-3, Estr-, Pr-Receptors |
| Ovar |
CA 125 |
| Uterus |
SCC |
| Prostate |
PSA, fPSA |
| Testis Seminoma |
AFP, �-HCG
hPLAP, �-HCG |
It is general practice that the 1st measurement should be
performed immediately after the diagnosis of the cancer. The 2nd
measurement is usually performed one week after initiation of any
kind of therapy as based on the biological half time (Table 3) of
tumour markers. During the next year and without any clinical signs
of relapse patients should be investigated for the specific tumour
markers which had been occurred in the pre-treatment phase. Later
on staying in remission every 3 months are recommended for
follow-up. In case of signs of recurrence of the tumour shorter
sampling times have to be considered.
Table 3. Biological half life of tumour markers
| Marker |
t/2 in Days |
| AFP |
2 � 8 |
| CA 125 |
5 |
| CA 19-9 |
4 � 8 |
| CA 15-3 |
5 � 7 |
| CEA |
2 � 8 |
| CYFRA 21-1 |
1 |
| HCG |
1 |
| NSE |
1 |
| PSA |
2 - 4 |
| SCC |
1 |
| TAG 72 |
3 � 7 |
7.2.2 Diagnostic Validities
An �ideal tumour marker� has to exhibit the following criteria
derived from their clinical application:
- Specific: the capacity to recognize healthy people
as healthy. This means no false positive results. This item will
allow to screen a population
- Sensitive: the capacity to recognize a disease as
a disease. This means no false negative result. This will allow
diagnosis of cancer and monitoring patients under therapy.
- Relative: a good correlation between tumour burden
and/or malignant cell proliferation and tumour marker concentration
should exist. This is essential for monitoring symptomatic
patients.
- Effective: the measurement of tumour maker
concentrations has to be reproducible over space and time at
relative low costs.
Therefore, before using in the clinical arena a tumour marker a
thorough review of evidence based literature has to be performed.
For each of the markers the reference intervals for healthy
individuals, for cancer patients in remission must be established
in order to know the diagnostic validities such as sensitivity,
specificity, positive and negative predictive values.
Since there is a lack of standardization for tumour marker
assays, the diagnostic validities are dependent from the
measurement procedure applied and cannot easily accepted from
published data. It is strongly recommended that in collaboration
with the clinicians diagnostic studies should be performed before
introducing a tumour marker assay in a given environment. On basis
of these studies the cut-off levels, decision levels and reference
ranges can then be computed and decided upon. An essential part in
the statistical treatment of data is the computing of �ROC-curves�
taking clinical criteria into consideration for deciding on the
best diagnostic validities. Figure 1 shows an example of a �ROC
Curves� comparing the tumour markers CEA and CA 549 for the
detection and the monitoring of breast cancer. The best
sensitivities and specificities were achieved at a cut-off of
11,000 U/L and 5 �g/L for CA 549 and CEA respectively. Moreover,
these curves show that CA 549 seems to be more useful than CEA.

Figure 1. Diagnostic validities of CEA and CA 549 for mamma
carcinoma
7.2.3 Screening for Prostate Carcinoma
In spite of great progress in research only AFP and PSA are
useful for screening. PSA has been accepted for screening males
between 50 and 70 years of age for prostate carcinoma. A few years
ago, we screened in our hospital a collective comprised of 2840
patients without a known prostate disease by using PSA. The outcome
of this screening is shown in figure 2. In summary in 1.37 % of the
males aged 50 to 98 years an unknown carcinoma of the prostate
gland was found. In patients with a PSA concentration > 4 ng/ml
10.1 % exhibited a cancer.

Figure 2. Screening for prostate carcinoma
The measurement of free PSA and the determination of the
percentage FPSA (PSA ratio) is an additional helpful diagnostic
tool to distinguish between cancer and benign disease of the
prostate. The combination of total and free PSA measurements added
to the DRE gives more safety to establish the correct diagnosis.
Nevertheless, in some cases only the biopsy is able to conclude. In
another study, we measured PSA and free PSA in 231 patients to
prove the ability of free PSA and the PSA ratio to differentiate
between malign and benign disease of the prostate. Healthy
controls, males with prostate hyperplasia, with histological
proofed prostate carcinoma and after radical prostatectomy were
investigated. Results (medians) are shown in figure 3. In males
with carcinoma the highest concentrations of total PSA and free PSA
were measured. The lowest PSA ratio was computed. For differential
diagnosis between hyperplasia and carcinoma the PSA ratio using a
cut-off level of 0.21 (or 21 % free PSA) showed the best diagnostic
validity. In contrast neither PSA nor free PSA contributed to a
better discrimination.

Figure 3. Differential diagnosis of prostate hyperplasia vs.
carcinoma
For diagnosis and follow-up of males the combination of PSA and
free PSA (ratio) are nowadays well-established diagnostic tools. In
a thorough clinical investigation Finne P. et al. examined the
usefulness of PSA, free PSA, DRE and the prostate volume for
prostate carcinoma risk-estimation. The combination of laboratory
and clinical investigations showed better results than using the
PSA results alone.
7.2.4 Reference
intervals
One of the biggest problems concerning tumour markers is the
definition of reference intervals and defining cut-off levels for
making decisions. For screening and diagnostic purpose the usual
procedure to investigate a large group of healthy individuals seems
to be sufficient. However, for follow-up of patients with
malignancies individual reference intervals are much more
appropriate. Even if the marker is below the �normal� or usual
cut-off value, any increase must be interpreted as a possible
relapse. In many cases, a lot of time can be gained this way. Of
course this long-term observation implies that the measurement
procedure applied is not changed.

Figure 4. Reference intervals
In 1995, we conducted a study with 55 women who had been treated
for a mammary carcinoma and who were followed-up and monitored for
4 years. During this period individual reference intervals during
the relapse free period were established for CEA and CA 15-3. The
diagnostic validities using individual reference intervals for
metastases and for local relapse were computed; using this approach
the specificities indicating a relapse free period were 97 and 99
%.
Table 4. Individual reference intervals for CEA and CA 15-3 in
patients with mammary carcinoma
| |
CEA (ug/L) |
CA 15-3 (kU/L) |
| Mean / Xi |
1,07 |
20,9 |
| SD / Xi |
0,88 |
9,6 |
| Range |
0,1 � 3,93 |
7,1 � 46,8 |
Table 5. Diagnostic validities for CEA and CA 15-3 in patients with
mammary carcinoma
| Marker |
Sensitivity
(Metastases) |
Sensitivity
(Local Relapse) |
Specificity |
| CEA |
71 (10/14) |
75 (3/8) |
97 |
| CA 15-3 |
86 (12/14) |
38 (6/8) |
99 |
In the following figures the follow-up of various patients
suffering from mammary, rectum and lung carcinoma is shown. In all
these cases the tumour markers investigated correlate well with the
clinical course and the therapeutic concepts used. As can be seen
an increase in serum marker concentrations occurred usually earlier
than signs of relapse diagnosed by image techniques.

US - Ultrasound, CT - Computer tomography
Figure 5. Monitoring of mammary carcinoma (CEA, CA 16-3, TPS)
4 months after therapy, the markers CEA and CA 15-3 have nearly
disappeared. Only TPS, a very unspecific marker for cell
proliferation, began to rise. At the same time, the patient
complained about epigastric distress. Sonography and CT were
negative. CA 15-3 began to rise. 5 months later by means of CT
liver metastases were detected. In this patient TPS was the right
marker to indicate earlier than CA 15-3 the relapse of the
malignancy.

Figure 6. Monitoring of rectum carcinoma (CEA, CA 19-9)
This patient suffered on a carcinoma of the rectum staged as
Duke C. This is an example for the good monitoring using CEA and CA
19-9. Chemotherapy is followed by a decrease of the two markers.
The two marker peaks reflect the metastases detected by CT.

Figure 7. Monitoring of lung carcinoma (CYFRA, NSE)
This carcinoma was classified as an adeno-carcinoma of the lung.
NSE and Cyfra 21-1 were measured. NSE has practically no
sensitivity for this kind of carcinoma and therefore it makes no
sense to measure it; it is an example of not rationale use. The
increase of CYFRA 21-1 correlates with the appearance of bone
metastases.
7.3 Cellular
markers
As malignancy is essentially a disorder of growth control, any
substance or process involved in the regulation of the cell cycle,
apoptosis, angiogenesis and spread of metastases may become a
useful tumour marker. The emerging tumour markers discovered during
the elucidation of the human genome may revolutionize the
management of cancer disease. In 1936 Casperson concluded that
tumour cells contain increased amounts of nucleic acids as compared
with normal cells by using quantitative image cytometry. Since
then, cytometric analysis has a significant impact on our
understanding of genetic changes in tumours. The technique of flow
cytometry allows rapid measurements of physical and biochemical
properties of cells. Cells were labeled with fluorescing compounds
binding quantitatively to DNA. This technique allows quantifying
DNA in tumour cells, which frequently show gains, or losses in
genomic size. Usually fast proliferating malignant cells exhibit
hyperploid DNA characteristics.
The functional status and the origin of cells in body fluids
(liquor, ascites) can now easily be detected by means of flow
cytometry in combing fluorescence conjugated monoclonal antibodies
recognising specific surface cell markers with cell-cycle analysis
after intracellular staining of DNA with probidium-iodide. With
this approach an inflammatory leukocytosis in the spinal fluid can
be accurately distinguished from a meningial carcinomatosis. The
cells investigated in the liquor cerebrospinalis showed two
features characteristic for malignant cells found in glioblastomas:
surface expression pattern of the epithelial cells� CAM 5.2 epitope
and 76 % of hyperploid DNA concomitant with an increased synthesis
rate of 13 % (figure 8).

Figure 8. Flowcytometric investigation of meningial
carcinomatosis
Tumour specific genetic material in blood, far from the tumour
site, might be a useful diagnostic tool for diagnosis and
prognosis. The wild type p53 protein seems to modulate cellular
responses to cytotoxic stresses by contributing to both cell-cycle
arrest and programmed cell death. Mutant p53 protein is associated
with loss of this surveillance mechanism and therefore plays a role
in the genesis of diverse types of tumours. Zhi-Ming Shao et al.
performed a study to determine the presence of p53 mutations in the
peripheral blood of breast cancer patients and its prognostic value
in these patients. In breast cancer patients a mean concentrations
of 211 ng/ml of plasma DNA were measured whereas in healthy
controls only 21 ng/ml were detected. In patients exhibiting p53
mutations in their primary tumour 65 % also showed p53 mutations in
their plasma DNA. Patients with tumour and plasma DNA p53 mutations
had the worst prognosis with respect to recurrence and distant
metastasis. Furthermore, p53 mutations in plasma DNA were strongly
correlated with clinical stage, tumour size, lymph node metastasis
and oestrogen receptor status.
7.4 Conclusion
In conclusion, we can say that at present, tumour markers are
primarily used to monitor the success of therapy in cancer
patients. The relatively poor sensitivities, the insufficient
correlations with low tumour-burden as well as the missing organ
specificity, in most cases do not allow screening or detection of
high-risk patients. Exceptions are the PSA for the cancer of the
prostate and the AFP and HCG for the cancer of testes. In the
future, the emerging tumour markers might offer new strategies
concerning screening, prognostic statements, early detection of
relapse and new therapeutic options. Our success in treating cancer
will depend on our ability to understand and control the regulatory
events of the cellular growth mechanisms and interactions.
References
- Statistik Austria:
http://www.statistik.at/fachbereich_03/gesundheit_txt.shtml
- WHO Cancer, Mortality Databank
http://www-depdb.iarc.fr/who/menu.htm
- EUCAN Cancer Incidence:
http://www-dep.iarc.fr/eucan/eucan.htm
- Chan DW, Beveridge RA, Bruzek DJ, Damron DJ, Bray KR, Gaurr PK,
Ettinger DS: Monitoring breast cancer with CA 549. Clin. Chem.
1988: 34, 2000 - 4.
- American Urology Association: Prostate specific antigen (PSA)
best practice policy (Oncology, 2000)
http://www.cancernetwork.com/journals/oncology/o0002e.htm
- Vogl M, M�ller MM, H�ltl W: Prostatic Cancer: Hospital based
prostate specific antigen screening. Clin. Biochem. 1997: 30,
357-360.
- M. Vogl, G. Suster, M. M. M�ller, W. H�ltl. Prostate Specific
Antigen and Percentage of Free Prostate Specific Antigen: Useful
cut-offs in Order to Differentiate Between Cancer and Benign
Disease of the Prostate. Cancer Strategy 1999: 1, 96-102.
- Finne P, Auvinen A, Aro J, Juusela H, Maattanen L, Rannikko S,
Hakama M, Tammela TL, Stenman UH.: Estimation of prostate cancer
risk on the basis of total and free prostate-specific antigen,
prostate volume and digital rectal examination. Eur. Urol. 2002:
41, 619-26.
- W. G. E. H�lzel, R. Beer, A. Deschner, A. Griesmacher, M. M.
M�ller: Individual reference ranges of CA 15-3, MCA and CEA in
recurrence breast cancer. Scand J. Clin. Lab. Invest. 1995: 55
(Suppl. 221), 93-101.
- Caspersson T.: �ber den Aufbau der Strukturen des Zellkerns.
Skan. Arch. Physiol. 1993: 73, 1-151.
- Shao ZM, Wu J, Shen ZZ, Nguyen M: p53 mutation in plasma DNA
and its prognostic value in breast cancer patients. Clin Cancer
Res. 7 (2001): 2222-27.
- Vogl M, M�ller MM: Tumour Markers: Review and Clinical
Applications. IFCC Series, Milano 2002
|