Immunostimulation in cancer therapy

1977 ◽  
Vol 15 (19) ◽  
pp. 73-74

Patients with advanced cancer often show evidence of impaired immunological defences which could be made worse by most of the commonly used anti-cancer drugs. However some patients have intact immunological defences and in the case of some lymphomas this is reflected in a better prognosis. Recently drugs have been used in cancer in an attempt to stimulate the patient’s own defences against his disease.

Author(s):  
Anne-Marie Sapse

Cancer is an extraordinarily complicated group of diseases which are characterized by the loss of normal control of the maintenance of cellular organization in the tissues. It is still not completely understood how much of the disease is of genetic, viral, or environmental origin. The result, however, is that cancer cells possess growth advantages over normal cells, a reality which damages the host by local pressure effects, destruction of tissues, and secondary systemic effects. As such, a goal of cancer therapy is the destruction of cancer cells via chemotherapeutic agents or radiation. Since the late 1940s, when Farber treated leukemia with methotrexate, cancer therapy with cytotoxic drugs made enormous progress. Chemotherapy is usually integrated with other treatments such as surgery, radiotherapy, and immunotherapy, and it is clear that post-surgery, it is effective with solid tumors. This is due to the fact that only systemic therapy can attack micrometastases. The rationale for using chemotherapy is the control of tumor-cell populations via a killing mechanism. The major problem in this approach is the lack of selectivity of chemotherapeutic agents. Some agents indeed preferentially kill cancer cells, but no agents have been synthesized yet which kill only cancer cells and do not affect normal cells. Unfortunately, normal tissues are affected, giving rise to a multitude of side effects. In addition to drugs exhibiting cytotoxic activity, antiproliferative drugs are also formulated. According to their mode of action, anti-cancer drugs are divided into several classes. . . . alkylating agents antimetabolites DNA intercalators mitotic inhibitors lexitropsins drugs which bind covalently to DNA . . . Experimental studies of these molecules are complemented and enhanced by theoretical studies. Some of the theoretical studies use molecular mechanics methods while others apply ab initio or semi-empirical quantum-chemistry methods. Most of these molecules are large and besides their structures and properties it is important to investigate their interaction with DNA fragments (themselves large molecules). Ab initio calculations cannot always be applied to the whole system. Therefore, models are used and through a judicious choice of the entities investigated, the calculations can shed light on the problem and provide enough information to complement the experimental studies.


2019 ◽  
Vol 21 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Kening Li ◽  
Yuxin Du ◽  
Lu Li ◽  
Dong-Qing Wei

Drug discovery is important in cancer therapy and precision medicines. Traditional approaches of drug discovery are mainly based on in vivo animal experiments and in vitro drug screening, but these methods are usually expensive and laborious. In the last decade, omics data explosion provides an opportunity for computational prediction of anti-cancer drugs, improving the efficiency of drug discovery. High-throughput transcriptome data were widely used in biomarkers’ identification and drug prediction by integrating with drug-response data. Moreover, biological network theory and methodology were also successfully applied to the anti-cancer drug discovery, such as studies based on protein-protein interaction network, drug-target network and disease-gene network. In this review, we summarized and discussed the bioinformatics approaches for predicting anti-cancer drugs and drug combinations based on the multi-omic data, including transcriptomics, toxicogenomics, functional genomics and biological network. We believe that the general overview of available databases and current computational methods will be helpful for the development of novel cancer therapy strategies.


2017 ◽  
Vol 35 (31_suppl) ◽  
pp. 62-62
Author(s):  
Muhammad Azeem Khan ◽  
Clint S. Pettit ◽  
Hunter Groninger

62 Background: Patients with advanced cancer inevitably experience a functional decline that is often associated with notable symptom burden and/or indications for clarification of goals. Palliative care (PC) services frequently engage such patients during hospital stays. For many of these patients, discharge plans to sub-acute rehabilitation facilities (SAR) in order to ‘gain strength’ for future cancer treatment is a common practice. We wished to examine if inpatients with advanced cancer receiving PC consultation who are discharged to SAR are ever able to follow up with their oncology team and receive anti-cancer therapy. Methods: A search was conducted in our institution’s electronic medical system for hospitalized patients with cancer who received inpatient PC consultation and were subsequently discharged to SAR. Patients were excluded if they did not follow with an oncologist at MWHC as an out patient prior to the admission being reviewed or if they had never received anti cancer therapy before. Results: From 2015-2017, 16 patients meeting our criteria were identified. For 14 (82.4%) patients Palliative Care was consulted to either discuss goals of care and/or assist with pain management.13 (76%) patients were discharged to SAR to ‘improve strength’. However only 7 (44%) patients saw their oncologist after discharge from SAR. Of those 7 only 3 (19%) received further anti cancer therapy. 4 of the 7 (57%) patients that saw their oncologist after SAR had an ECOG of 1 on admission, the other 3 had an ECOG of 2. No patient with an ECOG of 2 or greater ever received cancer treatment again. Exactly half of the 16 patients were eventually readmitted to our hospital. Conclusions: SAR may not be an appropriate discharge disposition for patients with cancer who have a decline in functional status. Less than half the patients with cancer discharged to SAR from our institute with the intention to gain strength for future chemotherapy saw their oncologist again and the overwhelming majority (particularly those with an ECOG performance score of 2 and greater) never received anti cancer therapy again. This data can be considered to make informed decisions when discussing goals of care.


2020 ◽  
pp. 082585972097594
Author(s):  
Deepa Wadhwa ◽  
David Hausner ◽  
Gordana Popovic ◽  
Ashley Pope ◽  
Nadia Swami ◽  
...  

Purpose: To evaluate factors associated with continuation of systemic anti-cancer therapy (SACT) after palliative care consultation, and SACT administration in the last 30 days of life, in outpatients with cancer referred to palliative care. Timing of referral was of particular interest. Methods: Patient, disease, and treatment-related factors associated with SACT before and after palliative care, and in the last 30 days of life, were identified using 3-level multinomial logistic regression. Referral to palliative care was categorized by time from death as early (>12 months), intermediate (6-12 months), and late (≤6 months). Results: Of the 337 patients, 240 (71.2%) received SACT for advanced cancer; of these, 126 (52.5%) received SACT only prior to palliative care while 114 (47.5%) also received SACT afterward. Only 35/337 (10.4%) received SACT in the last 30 days of life. On multivariable analysis, factors associated with continuing SACT after palliative care consultation were a cancer diagnosis for <1 year (OR 3.09, p = 0.01), breast primary (OR 11.88, p = 0.0008), and early (OR 28.8, p < 0.001) or intermediate (OR 6.67, p < 0.001) referral timing. No factors were significantly associated with receiving SACT in the last 30 days versus earlier, but the median time from palliative care referral to death in those receiving SACT in the last 30 days versus stopping SACT earlier was 1.78 versus 4.27 months. Conclusion: Patients who received SACT following palliative care consultation were more likely to be referred early; however, patients receiving SACT in their last 30 days tended to be referred late.


1993 ◽  
Vol 55 (1) ◽  
pp. 43-46
Author(s):  
Jun YOSHIDA ◽  
Juichiro NAKAYAMA ◽  
Nobuyuki SHIMIZU ◽  
Shonosuke NAGAE ◽  
Yoshiaki HORI

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