Streetnet: Medical Technology Stock Letter


Medical Technology Stock Letter

  November 16, 1995		ISSUE No. 284		DJIA: 4969.36

This Issue: Genomics

CONTENTS:

PULSE OF THE MARKET

Over the last two weeks, the stock market has been choppy. The DJIA has worked its way higher, while the technology stocks have continued their correction and the biotech stocks have been mixed. For the two weeks, the DJIA is up 161 points or 3.3%. The Model Portfolio is up 3.8%, and the Aggressive Portfolio is up 9.3%.

We worry when some areas of the market are going up while other sectors are declining. A certain amount of divergence is caused by rotation in leadership, but the recent advance is unusually narrow. We would worry more if the economic background were not very positive. Growth in the current quarter will clearly be less than the 4.2% reported for the third quarter, and corporate earnings continue to exceed estimates. Third quarter earnings again showed a majority of companies exceeding estimates. In past years, more companies would report earnings below estimates than above, and the current situation is very positive.

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INVESTMENT SCAN: Genomics

We last discussed the human genome in Issue #251. Since then, the Human Genome Project has made excellent progress and gene discoveries have been big news. There has also been a considerable increase in the number of public companies. This sector continues to attract significant media and investor attention. In this Issue, we will examine the different approaches being undertaken by the specific companies, and also discuss the challenges these companies face in creating shareholder value over the long-term. Background

A genome is the sum total of genetic material (DNA) in the chromosomes of a specific organism. The field of genomics consists of the discovery, analysis and commercial development of genetic information. The human genome consists of approximately three billion base pairs of DNA divided into 23 chromosomes, each containing a portion of the estimated 100,000 human genes. Genes are found in all living cells and are made up of strands of DNA, which is composed of two strands of nucleotides that are joined together. Every gene has a unique sequence of nucleotides, which provides the information required to code for the synthesis of a specific protein or gene product. A gene is expressed through a splicing process (called transcription) within the cell which removes the non-coding portion of the DNA and creates messenger RNA (mRNA). mRNA contains the coding portions of the transcribed gene and directs the production of a protein in a process called translation. At one time, it was estimated that there were 100,000 human genes. Now, it appears that there may be more than 100,000, because we are approaching that number and there appears to be no slow down in the rate of new gene discovery. It is estimated that only 5% of the human genome encodes for proteins, and this is the part of the genome which has attracted the interest of the pharmaceutical companies.

Random Gene Sequencing

Random gene sequencing is the methodology used by the genome companies to create their large databases of genes. Before sequencing genes, the companies prepare libraries of complimentary DNA (cDNA) which are made by taking samples of mRNA from specific human tissue. This mRNA reflects the genes being expressed in that tissue. Before sequencing, the mRNA is transcribed back into DNA. The sequenced fragment provides partial sequence information, but does not determine the role of the identified gene fragment. Random sequencing is providing large databases that will eventually contain information on all the genes in the human body. The goal of these databases is to show which genes are expressed in specific tissue and in what quantity they are expressed. However, for these databases to have value, other research must provide information which relates the gene fragments to specific disease targets for the development of new drugs.

Positional Cloning

Positional cloning utilizes analysis of disease inheritance patterns to find genes linked to a specific disease. This is the technique used to identify the genes for cystic fibrosis and inherited forms of breast cancer. The goal is to find the exact position of the desired gene on the genome. The process begins by analyzing a large and well-defined database of DNA samples which can be acquired from hospital databases or from families with detailed genealogical records. Genotyping is used to measure and determine the regions of the genome that may be linked to the target disease. This process narrows the focus to a specific region of the genome in the search for the specific gene or genes responsible for the disease. However, because of the many steps required for positional cloning, it may take several years to complete the process. It is believed that most common diseases, such as cardiovascular disease, which are caused by genetic defects are the result of more than one defective gene. This adds significantly to the complexity and time necessary to understand the role of each gene. In addition, a gene sequence does not completely dictate a protein's structure. After synthesis, proteins usually undergo additional alterations which can make it more difficult to pinpoint their exact origin.

Hurdles for Genome Companies

Our number one question regarding the investment potential of the genome companies is "where are the products?" We have always felt that there is value to understanding and mapping the human genome, but how does that value get translated into the commercial potential that justifies a public company? The initial revenue is coming from contracts and collaboration with large pharmaceutical companies which are willing to pay for the genome company's ability to provide specific targets for the development of new drugs. However, even if a solid target is provided, the target represents the very beginning of the eight-to-ten year drug discovery process. This means the companies will not receive royalties from any products until well into the next decade. Some of the companies have stated that they plan to become successful by developing a diagnostics business that uses the genetic information to develop screening tests. This is a lot easier said than done. Over the years, many biotech companies have planned to use diagnostic revenue to develop other products, but few have been successful. A successful diagnostic business is driven more by marketing clout than technology, and companies like Abbott aggressively protect their diagnostic franchise. While investors respond to the hope for near-term revenues, the hopes are seldom realized.

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The Companies

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The Private Companies

Investment Conclusion

There is certainly no question about the appeal of genome companies to investors, as stocks in this sector have been very strong. However, we believe investors are ignoring the long time it will take these companies to develop products and achieve consistent profitability. The flurry of discovery will be over in a few years and we think investors will then grow impatient while waiting for products to be developed and go through clinical trials. Genomics is really just another powerful tool, and success will be determined by using that tool properly. Selling information is providing early revenue, but that will not last for very many years. Thus, the genome companies must continue to add value by integrating biology into their gene discovery programs.

Genomic research may first pay off in some areas that have been largely ignored. While the focus is on finding genes which lead to targets for small molecule drugs, some of the proteins may find direct therapeutic use. In addition, when a gene protein and its function have been well defined, the genetic information may be useful in genetic therapy or in developing antisense drugs. Thus, Isis's deal with Human Genome Sciences could have some significant long-term value. We find Sequana the most interesting of the public genome companies. At current price levels, the total market capitalization of Sequana is only $90 million versus more than $300 million for HGSI. More corporate partnerships may move the stock higher, but our longer-term reservations about this sector make us unwilling to recommend it.

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CURRENT RECOMMENDATIONS

The biotech stocks have been mixed over the last two weeks. The failure of the group to regain momentum with the DJIA at new highs has been frustrating. However, the low volume correction and the weakness of the smaller companies is powerful evidence that the move in the group is still in its early stages. The action has been typical of what happens when a group is just beginning to return to favor and investors are still nervous. This means that 1996 is likely to be a great year for the biotech stocks. We continue to recommend purchasing your favorite stocks on their near-term dips. For a shorter-term focus we think the second tier stocks that have had corrections are very cheap. In this group are Somatogen, Ligand and Isis Pharmaceutical. We may get even bigger moves in some of the low priced stocks, but they are likely to have some tax loss selling over the next few weeks.

Some of you may find it advisable to do some tax-loss selling. If so, we recommend doubling up your position over the next few weeks and then selling your original position at the end of December. In most years this will provide a profit in addition to establishing the loss. Remember the sale must be at least 30 days after the purchase.

BUY:

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AGGRESSIVE PORTFOLIO:

Started Dec. 17, 1987 with $100,000 - This portfolio is designed for aggressive investors with a shorter-term view. The use of margin increases risk.

                          Price      Cost       Value
     7,000 Agouron           $30.13      $84,840      $210,910	
     9,000 Amylin              7.13       49,995        64,170
     4,000 Arris               11.5       33,835        46,000
     8,000 Calgene             5.25       44,954        42,000
     8,000 Celtrix             1.88       71,710        15,040
     1,235 Chiron             91.50       43,097       113,003
     1,500 Collagen           18.00       27,472        27,000
     7,000 ImmunoGen           2.00       57,444        14,000
     6,000 Isis               10.88       39,142        65,280
     5,000 Ligand              7.88       46,712        39,400
     7,000 Ribi ImmunoChem     4.00       51,367        28,000
     7,000 Somatogen          14.50       64,418       101,500
    10,000 T Cell Sciences     3.25       49,874        32,500
    10,000 Xoma                2.19       95,290        21,900				
                          ---------     --------     ---------
                                                       820,703
                                       Less Debit      408,109
                                                     ---------                                       
                                       Net Value      $412,594


       
  Jim McCamant                           John McCamant
  Editor                                 Associate Editor


PRICE _________________________ Mkt. Equity Orig. #of Value per Currrent Symbol Company FY Rec. Current Target shrs.(m) ($mil.) share Recommendation ______ _______ ___ ____ _______ ______ ________ ______ _____ ______________ AGPH Agouron JUN 4.00 30.13 40 7.3 220 $2.44 BUY under $30 AZA Alza DEC 6.25 21.75 40 82.8 1801 $5.22 BUY under S22 AMGN Amgen DEC 0.46 47.75 NA 283.2 13523 $5.59 SELL AMLN Amylin DEC 7.88 7.13 16 24.4 174 $2.31 BUY under $9 ARRS Arris DEC 6.75 11.50 20 8.7 100 $1.46 BUYunderS12 BTGC Bio-Tech Gen DEC 3.63 3.75 12 43.8 164 $0.82 BUY under $5 CGNE Calgene JUN 13.00 5.25 25 30.2 159 $1.18 BUY under S10 CTRX Celtrix MAR 6.75 1.88 12 13.7 26 $2.06 BUY under $6 CHIR Chiron DEC 4.63 91.50 150 40.4 3697 $15.68 BUY under S95 COCN CoCensys DEC 5.25 6.75 12 19.0 128 $0.49 BUY under S8 CGEN Collagen JUN 5.50 18.00 50 8.9 160 $4.32 BUY under S25 CTII CytoTherapeutics DEC 8.75 12.50 20 13.3 166 $3.78 BUY under S12 ICOS ICOS DEC 6.00 6.38 20 32.2 205 $1.39 BUY under S8 IMNX Immunex DEC 6.75 15.88 35 39.6 629 $3.50 BUY under S18 IMGN ImmunoGen JUN 11.00 2.00 12 12.5 25 $0.53 BUY under $8 ISIP Isis DEC 7.63 10.88 25 21.7 236 $2.05 BUY under S12 LGND Ligand DEC 6.13 7.88 20 26.8 211 $1.21 BUY under $12 PRCY ProCyte DEC 8.00 2.69 6 12.9 35 $3.73 BUY under S3-1/2 RIBI Ribi Immuno. DEC 4.25 4.00 8 18.8 85 $1.78 BUY under S5 SMTG Somatogen JUL 18.00 14.50 50 18.5 268 $2.77 BUY under S20 TCEL T Cell Sciences DEC 4.00 3.25 10 17.0 55 $0.56 BUY under $6 XOMA Xoma DEC 16.00 2.19 12 24.2 53 $1.33 BUY under $5 Model Portfolio Shares Total Today's _______________ Company Owned Cost Value The Model Portfolio is designed to reflect _______ ______ _______ ______ specific recommendations. We began the Agouron 1900 $23,028 $57.247 Model Portfolio on Dec. 22,1983 with Amylin 4900 $27,220 $34,937 S100,000. In Issue #5, April 1984, we BioTech Gen. 500 $3,409 $1,875 became fully invested. All profits are Calgene 5000 $31,250 $26,250 reinvested. Stocks recommended since then Celtrix 2300 $17,991 $4,324 may be equally attractive but may not be in Chiron 710 $28,794 $64,965 the Model Portfolio. Transactions and Collagen 2000 $31,205 $36,000 positions are valued at closing or bid ImmunoGen 3000 $33,000 $6,000 prices. No dividends are credited and a 1% Isis 5000 $24,619 $54,400 commission is charged. We don't use Ligand 1300 $14,943 $10,244 margin. Interest income is credited only ProCyte 4000 $20,500 $10,760 on large cash balances. Ribi Immuno. 4000 $22,012 $16,000 Xoma 1400 $18,025 $3,066 _______ _______ The Aggressive Porffolio joined the Model Equities $326,068 Portfolio in the Letter on 12/17/87. Cash $219 _______ Total $326,287 PORTFOLIO PERFORMANCE vs. DJIA DJIA Model Aggressive Last 2 weeks 3.3% 3.8% 9.3% Year-to-date 29.6% 31.1% 156.5% Since 12/17/87 158.2% 187.7% 312.6%
Contents based on information from sources believed to be reliable but accuracy and completeness cannot be guaranteed. Nothing herein should be construed as an offer or the soiicitation of an offer to buy or sell any security. The publisher and its associates, directors or employees may have positions in and may from time to time make purchases or sales of securities mentioned herein. We cannot guarantee and you should not assume that future recommendations will equal the performance of past recommendations or be profitable.


MEDICAL TECHNOLOGY STOCK LETTER
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