Racial differences in the treatment of early-stage lung cancer

Integrated 5-hydroxymethylcytosine and fragmentation signatures as enhanced biomarkers in lung cancer

Background

Lung cancer is one of most common cancers worldwide, with a 5-year survival rate of less than 20%, which is mainly due to late-stage diagnosis. Noninvasive methods using 5-hydroxymethylation of cytosine (5hmC) modifications and fragmentation profiles from 5hmC cell-free DNA (cfDNA) sequencing provide an opportunity for lung cancer detection and management.

Results

A total of 157 lung cancer patients were recruited to generate the largest lung cancer cfDNA 5hmC dataset, which mainly consisted of 62 lung adenocarcinoma (LUAD), 48 lung squamous cell carcinoma (LUSC) and 25 small cell lung cancer (SCLC) patients, with most patients (131, 83.44%) at advanced tumor stages. A 37-feature 5hmC model was constructed and validated to distinguish lung cancer patients from healthy controls, with areas under the curve (AUCs) of 0.8938 and 0.8476 (sensitivity = 87.50% and 72.73%, specificity = 83.87% and 80.60%) in two distinct validation sets. Furthermore, fragment profiles of cfDNA 5hmC datasets were first explored to develop a 48-feature fragmentation model with good performance (AUC = 0.9257 and 0.822, sensitivity = 87.50% and 78.79%, specificity = 80.65% and 76.12%) in the two validation sets. Another diagnostic model integrating 5hmC signals and fragment profiles improved AUC to 0.9432 and 0.8639 (sensitivity = 87.50% and 83.33%, specificity = 90.30% and 77.61%) in the two validation sets, better than models based on either of them alone and performing well in different stages and lung cancer subtypes. Several 5hmC markers were found to be associated with overall survival (OS) and disease-free survival (DFS) based on gene expression data from The Cancer Genome Atlas (TCGA).

Conclusions

Both the 5hmC signal and fragmentation profiles in 5hmC cfDNA data are sensitive and effective in lung cancer detection and could be incorporated into the diagnostic model to achieve good performance, promoting research focused on clinical diagnostic models based on cfDNA 5hmC data.

Graphical abstract

Supplementary Information

The online version contains supplementary material available at 10.1186/s13148-022-01233-7.

Socioeconomic Predictors of Surgical Resection and Survival for Patients With Osseous Spinal Neoplasms

OF BACKGROUND DATA

Primary osseous spinal neoplasms (POSNs) include locally aggressive tumors such as osteosarcoma, chondrosarcoma, Ewing sarcoma, and chordoma. For such tumors, surgical resection is associated with improved survival for patients. Socioeconomic predictors of receiving surgery, however, have not been studied.

OBJECTIVE

To examine the independent effect of race on receiving surgery and survival probability in patients with POSN.

STUDY DESIGN

A total of 1904 patients from the SEER program at the National Cancer Institute database, all diagnosed with POSN of the spinal cord, vertebral column, pelvis, or sacrum from 2003 through 2012 were included in the study. Race was reported as white or nonwhite. Treatment included receiving surgery and no surgery.

MATERIALS AND METHODS

Multivariable logistic regression was used to determine odds of receiving surgery based on race. Survival probability based on and race and surgery status was analyzed by Cox proportional hazards model and Kaplan-Meir curves. Results were adjusted for age at diagnosis, sex, socioeconomic status (composite index), tumor size, and tumor grade. Data were analyzed with SAS version 9.4.

RESULTS

The study found that white patients were significantly more likely to receive surgery (odds ratio=3.076, P<0.01). Furthermore, nonwhite race was associated with significantly shorter survival time [hazard ratio (HR)=1.744, P<0.05]. Receiving surgery was associated with improved overall survival (HR=2.486, P<0.01). After adjusting for receiving surgery, white race remained significantly associated with higher survival probability (HR=2.061, P<0.05).

CONCLUSIONS

This national study of patients with typically aggressive POSN found a significant correlation between race and the likelihood of receiving surgery. The study also found race to be a significant predictor of overall survival, regardless of receiving surgical treatment. These findings suggest an effect of race on receiving treatment and survival in patients with POSN, regardless of socioeconomic status. Further studies are required to understand reasons underlying these findings, and how they may be addressed.

Surgical Compliance and Outcomes in Gastric Cancer: a population-based cohort study

Background: Surgical resection is one of curative treatment for gastric cancer (GC), however, a set of patients show poor surgical compliance in the USA. We aimed to identify the risk factors associated with surgical compliance and investigate the difference in survival.

Methods: GC patients diagnosed between 1973 and 2014 were identified from the Surveillance Epidemiology and End Results (SEER) databases. Based on different surgical compliance and treatment regimen, patients were classified into three subgroups: surgical compliance group, surgical noncompliance group, and non-surgical group. Multivariable Logistic regression analysis was adopted to identify the factors related to surgical compliance; Multivariable Cox regression was used to investigate the prognostic factors. Overall survival (OS) and cancer-specific survival (CSS) were analyzed using the Kaplan-Meier estimator method.

Results: Of 79374 GC patients who were recommended for surgical therapy, 15201(19.2%) cases did not perform surgery. Poor compliance of surgery was related to old age, American Indian/Alaska Native race, poor grading/late staging, single/widowed status, lower socioeconomic status and earlier time of diagnosis. As expected, GC patients of surgical compliance group showed significantly more favorable survival than the other two groups (P<0.0001); notably, the outcome of surgical noncompliance group came close to that of non-surgical group.

Conclusion: GC patients of poor surgical compliance demonstrated adverse survival, which was comparable to that of non-surgical patients. The poor surgical compliance was associated with older age, American Indian/Alaska Native race, poor tissue differentiation/advanced stage of tumor, single/widowed status, lower socioeconomic status and earlier time of diagnosis.

Photothermal ablation of human lung cancer by low-power near-infrared laser and topical injection of indocyanine green

The present study was designed to evaluate the efficacy of photothermal ablation therapy for lung cancer by low-power near-infrared laser and topical injection of indocyanine green (ICG). In vitro study 1: an 808 nm laser with 250 mW was irradiated for 10 minutes using different dilutions of ICG and the temporal thermal effect was monitored. ICG (1 mL of 0.5 g/L) was heated to a temperature of >30°C from the base temperature by laser irradiation. In vitro study 2: the cytotoxic effect of hyperthermia on human lung cancer cells was examined in different temperature and time settings. Cell viability was quantified by both an MTS assay and reculturing. Fatal conditions evaluated by reculturing were as follows: thermal treatment at 55°C for 5 minutes, 53°C for 10 minutes, and 51°C for 15 minutes. The MTS assay study suggested that thermal treatment at 59°C for 5 minutes and 57°C for 20 minutes showed a severe cytotoxic effect. In vivo study: nude mouse subcutaneous NCI-H460 human lung cancer xenograft models were used for the study. Saline or 0.5 g/L of ICG was injected topically into the tumor (n=3/group). Tumors were irradiated with a laser at 500 mW for 10 minutes. Although the tumor diameter reached 1 cm within 24 days after treatment in all 3 mice using saline/laser, tumor sizes were gradually reduced in all 3 mice using the ICG/laser. In 2 of the 3 mice using ICG/laser, tumors had disappeared macroscopically. The efficacy of the photothermal ablation therapy by low-power near-infrared laser and a topical injection of ICG was clarified using a mouse subcutaneous a lung cancer xenograft model.

The social determinants of cancer: a challenge for transdisciplinary science

To make further significant advances in cancer control research, a transdisciplinary science approach is needed that integrates the study of the biological nature of cancer and its clinical applications with the behavioral and social influences on cancer. More-effective interventions to reduce the burden of cancer can be developed and implemented by the adoption of a transdisciplinary research framework that takes into account the social determinants of cancer and seeks to discover interactions among social, environmental, behavioral, and biological factors in cancer etiology. This paper addresses two critical issues in the science of team science: (1) a cross-disciplinary, multilevel framework for organizing future research, and (2) a perspective that could aid in the translation and dissemination of cancer research findings in health care and public health practice. This conceptual framework is designed to encourage transdisciplinary research that will integrate social determinants into cancer research. The authors' goal is to promote a more complete understanding of the causes of cancer that will lead to the improved translation and implementation of the results of research.

Semiology, proteomics, and the early detection of symptomatic cancer

"Diagnostic delay," the duration of symptoms or the symptom to diagnosis interval (SDI), are highly complex variables that reflect the behavior of the patient and the attending physician, tumor biology and host-tumor interactions, the functioning of the health care system, and sociocultural norms. In addition to tumor stage, other variables mediate the relationship between duration of symptoms and survival; clinical and epidemiologic procedures to measure them must be improved. Largely at odds with clinical and common wisdom, decades of research have shown that often SDI is not associated with tumor stage and/or with survival from cancer. It would be relevant to increase evidence in support of the notion that, for each type of tumor, there is a positive relationship between the length of the presymptomatic and the symptomatic phases. SDI could then be used to classify tumors according to their likelihood of being detected early when still asymptomatic. Also, tumors could be classified according to the ratio of the median SDI to the median survival (SDI to survival ratio, SSR), which may estimate the relative likelihood for clinical lead-time bias. If adhering to rigorous methodologic standards, proteomic analyses of early-stage cancers might provide new insights into changes that occur in early phases of tumorigenesis. More real examples are needed of uses of pathologic and genomic data to study mechanisms through which SDI influences-or fails to influence-prognosis. The degree of correlation between proteomic patterns and classic semiology constitutes an area of interest in itself; their respective correlations with cancer prognosis should be assessed in properly designed epidemiologic studies.