scholarly journals Significance of serum tumor markers monitoring in carcinomas of unknown primary site

2010 ◽  
Vol 67 (9) ◽  
pp. 723-731 ◽  
Author(s):  
Ivica Pejcic ◽  
Svetislav Vrbic ◽  
Sladjana Filipovic ◽  
Mirjana Scekic ◽  
Ivan Petkovic ◽  
...  

Background/Aim. Unknown primary tumors represent a heterogeneous group of malignancies that are indicative of ominous prognosis. Cancer of unknown primary site (CUP) is defined as the lack of any detectable primary site after full evaluation, and accounts for approximately 3-5% of all newly diagnosed patients with malignancies. The aim of this report was to present the prognostic and predictive value of 8 serum tumor markers in this group of patients. Methods. The study involved 63 patients. On histological examination, all the patients were presented with metastatic tumors whose primary site (origin) could not be detected with noninvasive diagnostic techniques. Following the routine light microscopy, all histological findings were classified into one of the following three groups: plano-cellular carcinoma - 8 patients; adenocarcinoma - 33 patients; unclassifiable (undifferentiated) carcinoma - 22 patients. In all the cases we evaluated 8 serum tumor markers: alpha-fetoproteins (AFP), chronic gonadotrophin beta submit, human (beta-HCG), neuron specific enolase (NSE), marker of malignant ovarian tumors (CA 125), prostate-specific antigene (PSA), marker of malignant brest tumor (CA 15-3), marker of malignant pancreas tumor and gastrointestinal tumor (Ca 19-9), carcinoembryonic antigen (CEA) at the time of diagnosis. The patients on chemotherapy had the markers determined after the third and sixth chemocycle, i.e. at the time of illness progression observation, if present. The patients responding to chemotherapy with complete response (CR), partial response (PR) or stable disease (SD) had the markers determined after three-month periods until the time of relapse or progression. Chemotherapy was applied in 32 patients (20 females and 12 males), aged 29-70 years, who met the inclusion criteria. The following chemotherapy regimen was used: doxorubicin 50mg/m2 (day 1), cisplatin 60mg/m2 (day 1), and etoposide 120 mg/m2 (days 1-3). The period between two chemotherapy cycles was three weeks, and maximum five weeks in the case of prolonged hematological toxicity. Results. Most commonly elevated were NSE values (82.54%), while AFP values were least commonly elevated (11.11%). Average survival time was 17.89 months (95%CI 12.96; 22.83). The probability of 24 months' survival was 0.228. The group of 32 patients treated with chemotherapy had 12 (37.5%) fatal outcomes in the observed period (72 months). Average survival time was 26.6 months (95% CI 19.5; 33.7). Average tumor marker values before and after the chemotherapy were significantly lower for NSE and CA 125. Survival was significantly better in cases of NSE and CA 125 decrease of more than 20%. Conclusion. Increased values of serum tumor markers are very often in CUP. The tumors show nonspecific overexpression of tumor markers. The NSE and CA 125 levels show good correlation with response to the given chemotherapy. However, a routine evaluation of commonly used serum tumor markers has not been proven of any prognostic and predictive assistance.

2021 ◽  
Author(s):  
Ella Nissan ◽  
Uri Amit ◽  
Leo Baron ◽  
Amit Zabatani ◽  
Damian Urban ◽  
...  

Abstract Introduction: We assessed the role of PET/CT in identifying and managing cancer of unknown primary site (CUP). Methods: We reviewed 64 patients' PET/CT scans with CUP performed during 2012–2019. Results: The median age was 65 years. Of 138-FDG-avid lesions, the mean SUVmax was10.6±6.0. Primary tumors (PT) were detected in 28(44%) patients. Detection was positive in only one(10%) patient with squamous cell carcinoma (SCC) histology, compared to 4/14(29%) with poorly differentiated carcinoma, 4/9(44%) with adenocarcinoma, 18/30(60%) of those for whom the origin could be presumed (p= 0.034 for SCC compared to other histologies). The mean age, mean SUVmax, and the distribution of organ involvement were similar between patients with and without discovered PTs, and also between patients with SCC and with the other histologies combined. However, those with SCC were less likely than the others to present with multi-lesion involvement, p<0.001. PET/CT interpretations apparently affected treatment of 8/28(29%) patients with PT detected and in none of the 35 whose PT was not discovered, p<0.001. Conclusion: PET/CT detected PT in almost half of CUP. However, it did not appear beneficial in those with SCC histology. PET/CT showed limited overall value in guiding clinical management but benefited a subgroup with discovered PT.


2020 ◽  
Vol 7 (2) ◽  
pp. 107-112
Author(s):  
Marian Manciu ◽  
Sorour Hosseini ◽  
Joscelyne Guzman-Gonzalez

Background: Statistical methods commonly used in survival analysis typically provide the probability that the difference between groups is due to chance, but do not offer a reliable estimate of the average survival time difference between groups (the difference between median survival time is usually reported). Objective: We suggest a Maximum-Entropy estimator for the average Survival Time Difference (MESTD) between groups. Methods: The estimator is based on the extra survival time, which should be added to each member of the group, to produce the maximum entropy of the result (resulting in the groups becoming most similar). The estimator is calculated only from time to event data, does not necessarily assume hazard proportionality and provides the magnitude of the clinical differences between the groups. Results: Monte Carlo simulations show that, even at low sample numbers (much lower than the ones needed to prove that the two groups are statistically different), the MESTD estimator is a reliable predictor of the clinical differences between the groups, and therefore can be used to estimate from (low sample numbers) preliminary data whether or not the large sample number experiment is worth pursuing. Conclusion: By providing a reasonable estimate for the efficacy of a treatment (e.g., for cancer) even for low sample data, it might provide useful insight in testing new methods for treatment (for example, for quick testing of multiple combinations of cancer drugs).


2021 ◽  
Author(s):  
Xinrong Li ◽  
Yan Shao ◽  
Liqiang Sheng ◽  
Junquan Zhu ◽  
Zeming Wang ◽  
...  

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