scholarly journals Organ Contouring for Lung Cancer Patients with a Seed Generation Scheme and Random Walks

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4823 ◽  
Author(s):  
Da-Chuan Cheng ◽  
Jen-Hong Chi ◽  
Shih-Neng Yang ◽  
Shing-Hong Liu

In this study, we proposed a semi-automated and interactive scheme for organ contouring in radiotherapy planning for patients with non-small cell lung cancers. Several organs were contoured, including the lungs, airway, heart, spinal cord, body, and gross tumor volume (GTV). We proposed some schemes to automatically generate and vanish the seeds of the random walks (RW) algorithm. We considered 25 lung cancer patients, whose computed tomography (CT) images were obtained from the China Medical University Hospital (CMUH) in Taichung, Taiwan. The manual contours made by clinical oncologists were taken as the gold standard for comparison to evaluate the performance of our proposed method. The Dice coefficient between two contours of the same organ was computed to evaluate the similarity. The average Dice coefficients for the lungs, airway, heart, spinal cord, and body and GTV segmentation were 0.92, 0.84, 0.83, 0.73, 0.85 and 0.66, respectively. The computation time was between 2 to 4 min for a whole CT sequence segmentation. The results showed that our method has the potential to assist oncologists in the process of radiotherapy treatment in the CMUH, and hopefully in other hospitals as well, by saving a tremendous amount of time in contouring.

Author(s):  
Da Hyun Kang ◽  
Chaeuk Chung ◽  
Pureum Sun ◽  
Da Hye Lee ◽  
Song-I Lee ◽  
...  

Abstract Background Immune checkpoint inhibitors (ICIs) have become the standard of care for a variety of cancers, including non-small cell lung cancer (NSCLC). In this study, we investigated the frequency of pseudoprogression and hyperprogression in lung cancer patients treated with ICIs in the real world and aimed to discover a novel candidate marker to distinguish pseudoprogression from hyperprogression soon after ICI treatment. Methods This study included 74 patients with advanced NSCLC who were treated with PD-1/PD-L1 inhibitors at Chungnam National University Hospital (CNUH) between January 2018 and August 2020. Chest X-rays were examined on day 7 after the first ICI dose to identify changes in the primary mass, and the response was assessed by computed tomography (CT). We evaluated circulating regulatory T (Treg) cells using flow cytometry and correlated the findings with clinical outcomes. Results The incidence of pseudoprogression was 13.5%, and that of hyperprogression was 8.1%. On day 7 after initiation of treatment, the frequency of CD4+CD25+CD127loFoxP3+ Treg cells was significantly decreased compared with baseline (P = 0.038) in patients who experienced pseudoprogression and significantly increased compared with baseline (P = 0.024) in patients who experienced hyperprogression. In the responder group, the frequencies of CD4+CD25+CD127loFoxP3+ Treg cells and PD-1+CD4+CD25+CD127loFoxP3+ Treg cells were significantly decreased 7 days after commencement of treatment compared with baseline (P = 0.034 and P < 0.001, respectively). Conclusion Circulating Treg cells represent a promising potential dynamic biomarker to predict efficacy and differentiate atypical responses, including pseudoprogression and hyperprogression, after immunotherapy in patients with NSCLC.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Huilai Lv ◽  
Baoen Shan ◽  
Ziqiang Tian ◽  
Yong Li ◽  
Yuefeng Zhang ◽  
...  

c-Met has been demonstrated as an attractive target in lung cancer therapy. Current studies showed that detection of c-Met status in tumor is critical in Met-targeted therapy. However not all patients are suitable for tissue sample collection. It is important to discover novel surrogate markers to detect c-Met status. In the study, soluble c-Met (s-Met) in plasma from 146 Chinese lung cancer patients and 40 disease-free volunteers was measured by enzyme-linked immunosorbent. In parallel, expression of c-Met in those tumors was also assessed by immunohistochemistry. Results showed that, in 146 lung cancer patients, 93 were c-Met expression positive and 74 of 93 were overexpressed. In c-Met-overexpressed patients, plasma s-Met was significantly increased. And further studies showed that plasma s-Met linearly correlated with c-Met expression in tumor. After tumor was removed in Met-overexpressed patients via resection, plasma s-Met significantly decreased to basal level. In addition, plasma s-Met showed to be poorly correlated with tumor size in Met-overexpressed patients. These results demonstrated that plasma s-Met is a sensitive and reliable marker to detect c-Met overexpression in lung cancers, and it is independent of tumor volume.


2009 ◽  
Vol 92 ◽  
pp. S41
Author(s):  
N. Marmouk ◽  
E. Van Mierlo ◽  
B. Verhoeven ◽  
A. Arens ◽  
M. van de Pol

2018 ◽  
Vol 4 (3) ◽  
pp. 00001-2018 ◽  
Author(s):  
Tanel Laisaar ◽  
Bruno Sarana ◽  
Indrek Benno ◽  
Kaja-Triin Laisaar

Since publication of the National Lung Cancer Screening Trial (NLST) results early lung cancer detection has been widely studied, targeting individuals based on smoking history and age. However, over recent decades several changes in lung cancer epidemiology, including risk factors, have taken place. The aim of the current study was to explore smoking prevalence among lung cancer patients who had been treated surgically or undergone a diagnostic operation and whether these patients would have met the NLST inclusion criteria.All patients operated on for lung cancer in a university hospital in Estonia between 2009 and 2015 were included. Data were collected from hospital records.426 patients were operated on for lung cancer, with smoking history properly documented in 327 patients (87 females; median age 67 years). 170 (52%) patients were smokers, 97 (30%) patients were ex-smokers and 60 (18%) patients were nonsmokers. The proportion of females among smokers was 15%, among ex-smokers was 9% and among nonsmokers was 87%. 107 of our patients would not have met the NLST age criteria and 128 of our patients would not have met the NLST smoking criteria. In total, 183 patients (56% (79% of females and 48% of males)) would not have met the NLST inclusion criteria.Only half of surgically treated lung cancer patients were current smokers and more than half did not meet the NLST inclusion criteria.


2021 ◽  
Author(s):  
Arno Mohr ◽  
Mia Kloos ◽  
Christian Schulz ◽  
Michael Pfeifer ◽  
Bernd Salzberger ◽  
...  

Abstract IntroductionThe aim of this study was to investigate the adherence to vaccinations, especially pneumococcal vaccinations, in lung cancer patients.MethodsThe study was performed at the University Hospital Regensburg, Germany. All patients with a regular appointment scheduled between December 1, 2020, and April 29, 2021, and who provided informed consent were included. Available medical records, vaccination certificates and a questionnaire were analyzed.Results136 lung cancer patients (NSCLC n = 113, 83.1%, SCLC n = 23, 16.9%) were included. A correct pneumococcal vaccination according to national recommendations was performed in 9.4% (12/127) of patients.A correct vaccination was performed for tetanus in 50.4% (6/131), diphtheria in 34.4% (44/128), poliomyelitis in 25.8% (33/128), tick-borne encephalitis in 40.7% (24/59), hepatitis A in 45.5% (7/11), hepatitis B in 38.5% (5/13), shingles in 3.0% (3/101), measles in 50.0% (3/6), pertussis in 47.7% (62/130), influenza in 54.4% (74/136) and meningococcal meningitis in 0% (0/2).ConclusionAdherence to pneumococcal vaccinations, as well as other vaccinations, is rather low in lung cancer patients.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21031-e21031
Author(s):  
Yataro Daigo ◽  
Atsushi Takano ◽  
Yusuke Nakamura

e21031 Background: Since the clinical outcome of advanced lung cancer patients is still poor after standard therapies, development of new anti-cancer drugs with minimum risk of adverse effects and cancer biomarkers for precision medicine is urgently required. Methods: We have been screening new therapeutic target molecules and molecular biomarkers for lung cancers as follows; i) To identify overexpressed genes in lung cancers by the gene expression profile analysis, ii) To verify the target genes for their scarce expression in normal tissues, iii) To validate the clinicopathologic importance of their protein expression by tissue microarray covering 263 lung cancers, and iv) To confirm their function for the growth and/or invasive ability of the lung cancer cells by siRNAs and gene transfection assays. Results: We identified dozens of candidate target molecules and selected a gene encoding protein with a GAP domain, LAPG1 (lung cancer-associated protein with Gap domain 1). Immunohistochemical analysis showed that LAPG1 expression was observed in 69.9% of lung cancers. Moreover positivity of LAPG1 expression was associated with poor prognosis of lung cancer patients. Knockdown of LAPG1 expression by siRNAs suppressed growth of lung cancer cells. Introduction of LAPG1 increased the invasive activity of mammalian cells, indicating that LAPG1 could be a prognostic biomarker and therapeutic target for lung cancers. Conclusions: Comprehensive cancer genomics-based screening could be useful for selection of new cancer biomarkers and molecular targets for developing small molecules, antibodies, nucleic acid drugs, and immunotherapies.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 3092-3092
Author(s):  
Yataro Daigo ◽  
Atsushi Takano ◽  
Yusuke Nakamura

3092 Background: Oncoantigens are defined to be proteins that are very specifically expressed in cancer cells and that have the oncogenic activity and high immunogenicity, and are considered to be promising targets for immunotherapy such as therapeutic cancer vaccines. Methods: We have established a strategy as follows to identify new oncoantigens; i) screening of highly transactivated genes in the majority of 120 lung cancers using cDNA microarray representing 27,648 genes coupled with enrichment of tumor cells by laser microdissection, ii) verification of no expression of each candidate gene in normal tissues by northern-blot analysis, iii) validation of the clinicopathological significance of its high level of expression with tissue microarray containing 300 lung cancers, iv) verification of a critical role of each gene in the growth or invasiveness of cancer cells by RNAi and cell growth/invasion assays, v) screening of the epitope peptides recognized by HLA-A*0201- or A*2402-restricted cytotoxic T lymphocyte (CTL). We conducted phase I clinical trials of these therapeutic peptide vaccines for lung cancer patients. Results: We identified 35 oncoantigens and screened dozens of 10-amino-acid peptides, each of which corresponded to a part of TTK, LY6K, IMP-3, CDCA1, KIF20A, CDC45L, and FOXM1, and was a candidate to be presented on the surface of HLA-A*0201 or HLA-A*2402 that induced in vitro CTL response. Phase I clinical studies indicated that five epitope peptides could strongly induce the CTL activity in cancer patients. For example, we conducted a phase I study for HLA-A*2402-positive, advanced non-small cell lung cancer patients who failed to standard therapy, using the combination of 1, 2 or 3 mg/body of each peptides from LY6K, CDCA1, and KIF20A mixed with adjuvant once a week. This cancer vaccine therapy demonstrated tolerability and had very high immunogenicity of even 1 mg/body dose to induce antigen-specific CTLs in cancer patients. Conclusions: Through systematic genomics-based approach and clinical study, we have identified five epitope peptides, which could induce CTLs very effectively in cancer patients, and therefore it warrants further clinical studies. Clinical trial information: NCT01069575.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 9060-9060
Author(s):  
Terufumi Kato ◽  
Shingo Matsumoto ◽  
Shigeki Umemura ◽  
Kiyotaka Yoh ◽  
Kazumi Nishino ◽  
...  

9060 Background: Various gene alterations occur during the development of squamous cell lung cancer (SqLC), but specific gene alterations for SqLC and their clinical significance remain unknown. Methods: In a nationwide genome screening project (LC-SCRUM-Japan), we have prospectively analyzed lung cancer patients for genetic alterations using a next-generation sequencing (NGS) system, Oncomine Comprehensive Assay, and have established a large-scale clinico-genomic database. Results: Since February 2013 to December 2018, a total of 6692 lung cancer patients (686 SqLCs, 5360 non-squamous non-small cell lung cancers [Non-sq] and 646 small cell lung cancers [SCLCs]) had been enrolled in the LC-SCRUM-Japan. The success rate of the NGS assay was 91%. Of 639 SqLCs analyzed, 274 (48%) had potentially targetable gene alterations, including 77 NFE2L2 (encoding NRF2) mut, 50 PIK3CA mut, 46 FGFR1 amp, 40 EGFRmut/amp, 36 PTEN mut, 23 KRAS mut, 6 AKT1 mut, 6 MET ex14skip, 5 ALK fusions, 2 FGFR3 fusions. Among the alterations detected, NFE2L2 mut and FGFR1 amp were significantly frequent in SqLC than Non-sq or SCLC (NFE2L2, 12.1% vs. 1.0% vs. 1.3%; p < 0.001, and FGFR1, 7.2% vs. 1.1% vs. 3.4%; p < 0.001). In advanced SqLC patients who received platinum-containing chemotherapies, the median progression-free survival (mPFS) was significantly shorter in NFE2L2-mutated patients (NRF2-type) than NFE2L2/FGFR1-negative patients (nonNF-type) (3.8 [95%CI, 2.9-5.1] vs. 4.5 [95%CI, 3.8-5.4] months, p = 0.03), and similarly, the mPFS of FGFR1-amplified patients (FGFR1-type) (3.5 months [95%CI, 1.5-4.9]) tended to be shorter than that of nonNF-type (p = 0.07), although the response rates were equivalent among the three types. NRF2-type also showed shorter overall survival (OS) than nonNF-type (median OS, 10.4 [95%CI, 6.9-22.3] vs. 16.6 [95%CI, 13.6-21.7] months, p = 0.10). Therapeutic efficacy of nivolumab or pembrolizumab was not different among these types in the current follow-up data. Conclusions: Our large scale genome screening identified specific gene alterations for SqLC and the alterations were associated with a less efficacy of chemotherapy and worse prognosis, suggesting the need for the development of genotype-directed therapeutic strategy for SqLC patients.


2008 ◽  
Vol 35 (9) ◽  
pp. 3998-4011 ◽  
Author(s):  
J. W. H. Wolthaus ◽  
J.-J. Sonke ◽  
M. van Herk ◽  
E. M. F. Damen

Sign in / Sign up

Export Citation Format

Share Document